Merge pull request #2522 from MartinThoma/moose
authorEvan Shelhamer <shelhamer@imaginarynumber.net>
Sat, 30 May 2015 07:25:07 +0000 (00:25 -0700)
committerEvan Shelhamer <shelhamer@imaginarynumber.net>
Sat, 30 May 2015 07:25:07 +0000 (00:25 -0700)
[pycaffe] groom caffe.draw and draw_net.py

93 files changed:
CMakeLists.txt
Makefile
cmake/ConfigGen.cmake
cmake/Dependencies.cmake
cmake/External/gflags.cmake [new file with mode: 0644]
cmake/External/glog.cmake [new file with mode: 0644]
cmake/Targets.cmake
docs/install_osx.md
docs/performance_hardware.md
docs/tutorial/interfaces.md
examples/classification.ipynb
examples/cpp_classification/classification.cpp [new file with mode: 0644]
examples/cpp_classification/readme.md [new file with mode: 0644]
examples/detection.ipynb
examples/filter_visualization.ipynb
examples/hdf5_classification.ipynb
examples/net_surgery.ipynb
examples/siamese/mnist_siamese.ipynb
include/caffe/common_layers.hpp
include/caffe/data_transformer.hpp
include/caffe/filler.hpp
include/caffe/solver.hpp
include/caffe/test/test_caffe_main.hpp
include/caffe/test/test_gradient_check_util.hpp
matlab/+caffe/+test/test_net.m [new file with mode: 0644]
matlab/+caffe/+test/test_solver.m [new file with mode: 0644]
matlab/+caffe/Blob.m [new file with mode: 0644]
matlab/+caffe/Layer.m [new file with mode: 0644]
matlab/+caffe/Net.m [new file with mode: 0644]
matlab/+caffe/Solver.m [new file with mode: 0644]
matlab/+caffe/get_net.m [new file with mode: 0644]
matlab/+caffe/get_solver.m [new file with mode: 0644]
matlab/+caffe/imagenet/ilsvrc_2012_mean.mat [new file with mode: 0644]
matlab/+caffe/io.m [new file with mode: 0644]
matlab/+caffe/private/CHECK.m [new file with mode: 0644]
matlab/+caffe/private/CHECK_FILE_EXIST.m [new file with mode: 0644]
matlab/+caffe/private/caffe_.cpp [new file with mode: 0644]
matlab/+caffe/private/is_valid_handle.m [new file with mode: 0644]
matlab/+caffe/reset_all.m [new file with mode: 0644]
matlab/+caffe/run_tests.m [new file with mode: 0644]
matlab/+caffe/set_device.m [new file with mode: 0644]
matlab/+caffe/set_mode_cpu.m [new file with mode: 0644]
matlab/+caffe/set_mode_gpu.m [new file with mode: 0644]
matlab/CMakeLists.txt
matlab/caffe/ilsvrc_2012_mean.mat [deleted file]
matlab/caffe/matcaffe.cpp [deleted file]
matlab/caffe/matcaffe_batch.m [deleted file]
matlab/caffe/matcaffe_demo.m [deleted file]
matlab/caffe/matcaffe_demo_vgg.m [deleted file]
matlab/caffe/matcaffe_demo_vgg_mean_pix.m [deleted file]
matlab/caffe/matcaffe_init.m [deleted file]
matlab/caffe/prepare_batch.m [deleted file]
matlab/caffe/print_cell.m [deleted file]
matlab/caffe/read_cell.m [deleted file]
matlab/demo/classification_demo.m [new file with mode: 0644]
matlab/hdf5creation/.gitignore [moved from matlab/caffe/hdf5creation/.gitignore with 100% similarity]
matlab/hdf5creation/demo.m [moved from matlab/caffe/hdf5creation/demo.m with 100% similarity]
matlab/hdf5creation/store2hdf5.m [moved from matlab/caffe/hdf5creation/store2hdf5.m with 100% similarity]
python/requirements.txt
scripts/travis/travis_install.sh
src/caffe/data_transformer.cpp
src/caffe/layers/base_data_layer.cpp
src/caffe/layers/base_data_layer.cu
src/caffe/layers/conv_layer.cpp
src/caffe/layers/conv_layer.cu
src/caffe/layers/cudnn_conv_layer.cu
src/caffe/layers/data_layer.cpp
src/caffe/layers/deconv_layer.cpp
src/caffe/layers/deconv_layer.cu
src/caffe/layers/image_data_layer.cpp
src/caffe/layers/inner_product_layer.cpp
src/caffe/layers/inner_product_layer.cu
src/caffe/layers/lrn_layer.cu
src/caffe/layers/mvn_layer.cpp
src/caffe/layers/mvn_layer.cu
src/caffe/layers/pooling_layer.cu
src/caffe/proto/caffe.proto
src/caffe/solver.cpp
src/caffe/test/test_accuracy_layer.cpp
src/caffe/test/test_argmax_layer.cpp
src/caffe/test/test_convolution_layer.cpp
src/caffe/test/test_dummy_data_layer.cpp
src/caffe/test/test_filler.cpp
src/caffe/test/test_gradient_based_solver.cpp
src/caffe/test/test_im2col_kernel.cu
src/caffe/test/test_math_functions.cpp
src/caffe/test/test_multinomial_logistic_loss_layer.cpp
src/caffe/test/test_neuron_layer.cpp
src/caffe/test/test_pooling_layer.cpp
src/caffe/test/test_softmax_layer.cpp
src/caffe/test/test_stochastic_pooling.cpp
tools/caffe.cpp
tools/extract_features.cpp

index 74fa70c..f22aa57 100644 (file)
@@ -6,6 +6,8 @@ project(Caffe C CXX)
 # ---[ Using cmake scripts and modules
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake/Modules)
 
+include(ExternalProject)
+
 include(cmake/Utils.cmake)
 include(cmake/Targets.cmake)
 include(cmake/Misc.cmake)
index d2e5e57..e4e66df 100644 (file)
--- a/Makefile
+++ b/Makefile
@@ -65,7 +65,7 @@ NONGEN_CXX_SRCS := $(shell find \
        src/$(PROJECT) \
        include/$(PROJECT) \
        python/$(PROJECT) \
-       matlab/$(PROJECT) \
+       matlab/+$(PROJECT)/private \
        examples \
        tools \
        -name "*.cpp" -or -name "*.hpp" -or -name "*.cu" -or -name "*.cuh")
@@ -79,12 +79,12 @@ NONEMPTY_LINT_REPORT := $(BUILD_DIR)/$(LINT_EXT)
 PY$(PROJECT)_SRC := python/$(PROJECT)/_$(PROJECT).cpp
 PY$(PROJECT)_SO := python/$(PROJECT)/_$(PROJECT).so
 PY$(PROJECT)_HXX := include/$(PROJECT)/python_layer.hpp
-# MAT$(PROJECT)_SRC is the matlab wrapper for $(PROJECT)
-MAT$(PROJECT)_SRC := matlab/$(PROJECT)/mat$(PROJECT).cpp
+# MAT$(PROJECT)_SRC is the mex entrance point of matlab package for $(PROJECT)
+MAT$(PROJECT)_SRC := matlab/+$(PROJECT)/private/$(PROJECT)_.cpp
 ifneq ($(MATLAB_DIR),)
        MAT_SO_EXT := $(shell $(MATLAB_DIR)/bin/mexext)
 endif
-MAT$(PROJECT)_SO := matlab/$(PROJECT)/$(PROJECT).$(MAT_SO_EXT)
+MAT$(PROJECT)_SO := matlab/+$(PROJECT)/private/$(PROJECT)_.$(MAT_SO_EXT)
 
 ##############################
 # Derive generated files
@@ -118,7 +118,7 @@ GTEST_OBJ := $(addprefix $(BUILD_DIR)/, ${GTEST_SRC:.cpp=.o})
 EXAMPLE_OBJS := $(addprefix $(BUILD_DIR)/, ${EXAMPLE_SRCS:.cpp=.o})
 # Output files for automatic dependency generation
 DEPS := ${CXX_OBJS:.o=.d} ${CU_OBJS:.o=.d} ${TEST_CXX_OBJS:.o=.d} \
-       ${TEST_CU_OBJS:.o=.d}
+       ${TEST_CU_OBJS:.o=.d} $(BUILD_DIR)/${MAT$(PROJECT)_SO:.$(MAT_SO_EXT)=.d}
 # tool, example, and test bins
 TOOL_BINS := ${TOOL_OBJS:.o=.bin}
 EXAMPLE_BINS := ${EXAMPLE_OBJS:.o=.bin}
@@ -460,6 +460,9 @@ $(MAT$(PROJECT)_SO): $(MAT$(PROJECT)_SRC) $(STATIC_NAME)
                        CXX="$(CXX)" \
                        CXXFLAGS="\$$CXXFLAGS $(MATLAB_CXXFLAGS)" \
                        CXXLIBS="\$$CXXLIBS $(STATIC_LINK_COMMAND) $(LDFLAGS)" -output $@
+       @ if [ -f "$(PROJECT)_.d" ]; then \
+               mv -f $(PROJECT)_.d $(BUILD_DIR)/${MAT$(PROJECT)_SO:.$(MAT_SO_EXT)=.d}; \
+       fi
 
 runtest: $(TEST_ALL_BIN)
        $(TOOL_BUILD_DIR)/caffe
@@ -467,6 +470,9 @@ runtest: $(TEST_ALL_BIN)
 
 pytest: py
        cd python; python -m unittest discover -s caffe/test
+       
+mattest: mat
+       cd matlab; $(MATLAB_DIR)/bin/matlab -nodisplay -r 'caffe.run_tests(), exit()'
 
 warn: $(EMPTY_WARN_REPORT)
 
index c82047d..a9101e3 100644 (file)
@@ -11,6 +11,17 @@ function(caffe_get_current_includes includes_variable)
   list(FIND current_includes ${PROJECT_BINARY_DIR} __index)
   list(REMOVE_AT current_includes ${__index})
 
+  # removing numpy includes (since not required for client libs)
+  set(__toremove "")
+  foreach(__i ${current_includes})
+    if(${__i} MATCHES "python")
+      list(APPEND __toremove ${__i})
+    endif()
+  endforeach()
+  if(__toremove)
+    list(REMOVE_ITEM current_includes ${__toremove})
+  endif()
+
   caffe_list_unique(current_includes)
   set(${includes_variable} ${current_includes} PARENT_SCOPE)
 endfunction()
index f328e82..7cae5c9 100644 (file)
@@ -11,12 +11,12 @@ find_package(Threads REQUIRED)
 list(APPEND Caffe_LINKER_LIBS ${CMAKE_THREAD_LIBS_INIT})
 
 # ---[ Google-glog
-find_package(Glog REQUIRED)
+include("cmake/External/glog.cmake")
 include_directories(SYSTEM ${GLOG_INCLUDE_DIRS})
 list(APPEND Caffe_LINKER_LIBS ${GLOG_LIBRARIES})
 
 # ---[ Google-gflags
-find_package(GFlags REQUIRED)
+include("cmake/External/gflags.cmake")
 include_directories(SYSTEM ${GFLAGS_INCLUDE_DIRS})
 list(APPEND Caffe_LINKER_LIBS ${GFLAGS_LIBRARIES})
 
diff --git a/cmake/External/gflags.cmake b/cmake/External/gflags.cmake
new file mode 100644 (file)
index 0000000..a50a092
--- /dev/null
@@ -0,0 +1,56 @@
+if (NOT __GFLAGS_INCLUDED) # guard against multiple includes
+  set(__GFLAGS_INCLUDED TRUE)
+
+  # use the system-wide gflags if present
+  find_package(GFlags)
+  if (GFLAGS_FOUND)
+    set(GFLAGS_EXTERNAL FALSE)
+  else()
+    # gflags will use pthreads if it's available in the system, so we must link with it
+    find_package(Threads)
+
+    # build directory
+    set(gflags_PREFIX ${CMAKE_BINARY_DIR}/external/gflags-prefix)
+    # install directory
+    set(gflags_INSTALL ${CMAKE_BINARY_DIR}/external/gflags-install)
+
+    # we build gflags statically, but want to link it into the caffe shared library
+    # this requires position-independent code
+    if (UNIX)
+        set(GFLAGS_EXTRA_COMPILER_FLAGS "-fPIC")
+    endif()
+
+    set(GFLAGS_CXX_FLAGS ${CMAKE_CXX_FLAGS} ${GFLAGS_EXTRA_COMPILER_FLAGS})
+    set(GFLAGS_C_FLAGS ${CMAKE_C_FLAGS} ${GFLAGS_EXTRA_COMPILER_FLAGS})
+
+    ExternalProject_Add(gflags
+      PREFIX ${gflags_PREFIX}
+      GIT_REPOSITORY "https://github.com/gflags/gflags.git"
+      GIT_TAG "v2.1.2"
+      UPDATE_COMMAND ""
+      INSTALL_DIR ${gflags_INSTALL}
+      CMAKE_ARGS -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}
+                 -DCMAKE_INSTALL_PREFIX=${gflags_INSTALL}
+                 -DBUILD_SHARED_LIBS=OFF
+                 -DBUILD_STATIC_LIBS=ON
+                 -DBUILD_PACKAGING=OFF
+                 -DBUILD_TESTING=OFF
+                 -DBUILD_NC_TESTS=OFF
+                 -BUILD_CONFIG_TESTS=OFF
+                 -DINSTALL_HEADERS=ON
+                 -DCMAKE_C_FLAGS=${GFLAGS_C_FLAGS}
+                 -DCMAKE_CXX_FLAGS=${GFLAGS_CXX_FLAGS}
+      LOG_DOWNLOAD 1
+      LOG_INSTALL 1
+      )
+  
+    set(GFLAGS_FOUND TRUE)
+    set(GFLAGS_INCLUDE_DIRS ${gflags_INSTALL}/include)
+    set(GFLAGS_LIBRARIES ${gflags_INSTALL}/lib/libgflags.a ${CMAKE_THREAD_LIBS_INIT})    
+    set(GFLAGS_LIBRARY_DIRS ${gflags_INSTALL}/lib)
+    set(GFLAGS_EXTERNAL TRUE)
+
+    list(APPEND external_project_dependencies gflags)
+  endif()
+
+endif()
diff --git a/cmake/External/glog.cmake b/cmake/External/glog.cmake
new file mode 100644 (file)
index 0000000..02b39dd
--- /dev/null
@@ -0,0 +1,56 @@
+# glog depends on gflags
+include("cmake/External/gflags.cmake")
+
+if (NOT __GLOG_INCLUDED)
+  set(__GLOG_INCLUDED TRUE)
+
+  # try the system-wide glog first
+  find_package(Glog)
+  if (GLOG_FOUND)
+      set(GLOG_EXTERNAL FALSE)
+  else()
+    # fetch and build glog from github
+
+    # build directory
+    set(glog_PREFIX ${CMAKE_BINARY_DIR}/external/glog-prefix)
+    # install directory
+    set(glog_INSTALL ${CMAKE_BINARY_DIR}/external/glog-install)
+
+    # we build glog statically, but want to link it into the caffe shared library
+    # this requires position-independent code
+    if (UNIX)
+      set(GLOG_EXTRA_COMPILER_FLAGS "-fPIC")
+    endif()
+
+    set(GLOG_CXX_FLAGS ${CMAKE_CXX_FLAGS} ${GLOG_EXTRA_COMPILER_FLAGS})
+    set(GLOG_C_FLAGS ${CMAKE_C_FLAGS} ${GLOG_EXTRA_COMPILER_FLAGS})
+
+    # depend on gflags if we're also building it
+    if (GFLAGS_EXTERNAL)
+      set(GLOG_DEPENDS gflags)
+    endif()
+    
+    ExternalProject_Add(glog
+      DEPENDS ${GLOG_DEPENDS}
+      PREFIX ${glog_PREFIX}
+      GIT_REPOSITORY "https://github.com/google/glog"
+      GIT_TAG "v0.3.4"
+      UPDATE_COMMAND ""
+      INSTALL_DIR ${gflags_INSTALL}
+      CONFIGURE_COMMAND env "CFLAGS=${GLOG_C_FLAGS}" "CXXFLAGS=${GLOG_CXX_FLAGS}" ${glog_PREFIX}/src/glog/configure --prefix=${glog_INSTALL} --enable-shared=no --enable-static=yes --with-gflags=${GFLAGS_LIBRARY_DIRS}/..
+      LOG_DOWNLOAD 1
+      LOG_CONFIGURE 1
+      LOG_INSTALL 1
+      )
+
+    set(GLOG_FOUND TRUE)
+    set(GLOG_INCLUDE_DIRS ${glog_INSTALL}/include)
+    set(GLOG_LIBRARIES ${GFLAGS_LIBRARIES} ${glog_INSTALL}/lib/libglog.a)
+    set(GLOG_LIBRARY_DIRS ${glog_INSTALL}/lib)
+    set(GLOG_EXTERNAL TRUE)
+
+    list(APPEND external_project_dependencies glog)
+  endif()
+
+endif()
+
index e3ad872..ed0ff96 100644 (file)
@@ -110,6 +110,10 @@ function(caffe_default_properties target)
     ARCHIVE_OUTPUT_DIRECTORY "${PROJECT_BINARY_DIR}/lib"
     LIBRARY_OUTPUT_DIRECTORY "${PROJECT_BINARY_DIR}/lib"
     RUNTIME_OUTPUT_DIRECTORY "${PROJECT_BINARY_DIR}/bin")
+  # make sure we build all external depepdencies first
+  if (DEFINED external_project_dependencies)
+    add_dependencies(${target} ${external_project_dependencies})
+  endif()
 endfunction()
 
 ################################################################################################
index 39cb02f..ad98a85 100644 (file)
@@ -10,7 +10,7 @@ In the following, we assume that you're using Anaconda Python and Homebrew.
 
 **CUDA**: Install via the NVIDIA package that includes both CUDA and the bundled driver. **CUDA 7 is strongly suggested.** Older CUDA require `libstdc++` while clang++ is the default compiler and `libc++` the default standard library on OS X 10.9+. This disagreement makes it necessary to change the compilation settings for each of the dependencies. This is prone to error.
 
-**Library Path**: We find that everything compiles successfully if `$LD_LIBRARY_PATH` is not set at all, and `$DYLD_FALLBACK_LIBRARY_PATH` is set to to provide CUDA, Python, and other relevant libraries (e.g. `/usr/local/cuda/lib:$HOME/anaconda/lib:/usr/local/lib:/usr/lib`).
+**Library Path**: We find that everything compiles successfully if `$LD_LIBRARY_PATH` is not set at all, and `$DYLD_FALLBACK_LIBRARY_PATH` is set to provide CUDA, Python, and other relevant libraries (e.g. `/usr/local/cuda/lib:$HOME/anaconda/lib:/usr/local/lib:/usr/lib`).
 In other `ENV` settings, things may not work as expected.
 
 **General dependencies**
index b35246f..cdd4b36 100644 (file)
@@ -48,7 +48,7 @@ and then set the clock speed with
 
     sudo nvidia-smi -i 0 -ac 3004,875    # repeat with -i x for each GPU ID
 
-but note that this configuration resets across driver reloading / rebooting. Include these commands in a boot script to intialize these settings. For a simple fix, add these commands to `/etc/rc.local` (on Ubuntu).
+but note that this configuration resets across driver reloading / rebooting. Include these commands in a boot script to initialize these settings. For a simple fix, add these commands to `/etc/rc.local` (on Ubuntu).
 
 ## NVIDIA Titan
 
index 17430b3..1296331 100644 (file)
@@ -67,10 +67,213 @@ Compile pycaffe by `make pycaffe`. The module dir caffe/python/caffe should be i
 
 ## MATLAB
 
-The MATLAB interface -- matcaffe -- is the `caffe` mex and its helper m-files in caffe/matlab. Load models, do forward and backward, extract output and read-only model weights, and load the binaryproto format mean as a matrix.
+The MATLAB interface -- matcaffe -- is the `caffe` package in caffe/matlab in which you can integrate Caffe in your Matlab code.
 
-A MATLAB demo is in caffe/matlab/caffe/matcaffe_demo.m
+In MatCaffe, you can
 
-Note that MATLAB matrices and memory are in column-major layout counter to Caffe's row-major layout! Double-check your work accordingly.
+* Creating multiple Nets in Matlab
+* Do forward and backward computation
+* Access any layer within a network, and any parameter blob in a layer
+* Get and set data or diff to any blob within a network, not restricting to input blobs or output blobs
+* Save a network's parameters to file, and load parameters from file
+* Reshape a blob and reshape a network
+* Edit network parameter and do network surgery
+* Create multiple Solvers in Matlab for training
+* Resume training from solver snapshots
+* Access train net and test nets in a solver
+* Run for a certain number of iterations and give back control to Matlab
+* Intermingle arbitrary Matlab code with gradient steps
 
-Compile matcaffe by `make matcaffe`.
+An ILSVRC image classification demo is in caffe/matlab/demo/classification_demo.m (you need to download BVLC CaffeNet from [Model Zoo](http://caffe.berkeleyvision.org/model_zoo.html) to run it).
+
+### Build MatCaffe
+
+Build MatCaffe with `make all matcaffe`. After that, you may test it using `make mattest`.
+
+Common issue: if you run into error messages like `libstdc++.so.6:version 'GLIBCXX_3.4.15' not found` during `make mattest`, then it usually means that your Matlab's runtime libraries do not match your compile-time libraries. You may need to do the following before you start Matlab:
+
+    export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64
+    export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
+
+Or the equivalent based on where things are installed on your system, and do `make mattest` again to see if the issue is fixed. Note: this issue is sometimes more complicated since during its startup Matlab may overwrite your `LD_LIBRARY_PATH` environment variable. You can run `!ldd ./matlab/+caffe/private/caffe_.mexa64` (the mex extension may differ on your system) in Matlab to see its runtime libraries, and preload your compile-time libraries by exporting them to your `LD_PRELOAD` environment variable.
+
+After successful building and testing, add this package to Matlab search PATH by starting `matlab` from caffe root folder and running the following commands in Matlab command window.
+
+    addpath ./matlab
+
+You can save your Matlab search PATH by running `savepath` so that you don't have to run the command above again every time you use MatCaffe.
+
+### Use MatCaffe
+
+MatCaffe is very similar to PyCaffe in usage.
+
+Examples below shows detailed usages and assumes you have downloaded BVLC CaffeNet from [Model Zoo](http://caffe.berkeleyvision.org/model_zoo.html) and started `matlab` from caffe root folder.
+
+    model = './models/bvlc_reference_caffenet/deploy.prototxt';
+    weights = './models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel';
+
+#### Set mode and device
+
+**Mode and device should always be set BEFORE you create a net or a solver.**
+
+Use CPU:
+
+    caffe.set_mode_cpu();
+
+Use GPU and specify its gpu_id:
+
+    caffe.set_mode_gpu();
+    caffe.set_device(gpu_id);
+
+#### Create a network and access its layers and blobs
+
+Create a network:
+
+    net = caffe.Net(model, weights, 'test'); % create net and load weights
+
+Or
+
+    net = caffe.Net(model, 'test'); % create net but not load weights
+    net.copy_from(weights); % load weights
+
+which creates `net` object as
+
+      Net with properties:
+
+               layer_vec: [1x23 caffe.Layer]
+                blob_vec: [1x15 caffe.Blob]
+                  inputs: {'data'}
+                 outputs: {'prob'}
+        name2layer_index: [23x1 containers.Map]
+         name2blob_index: [15x1 containers.Map]
+             layer_names: {23x1 cell}
+              blob_names: {15x1 cell}
+
+The two `containers.Map` objects are useful to find the index of a layer or a blob by its name.
+
+You have access to every blob in this network. To fill blob 'data' with all ones:
+
+    net.blobs('data').set_data(ones(net.blobs('data').shape));
+
+To multiply all values in blob 'data' by 10:
+
+    net.blobs('data').set_data(net.blobs('data').get_data() * 10);
+
+**Be aware that since Matlab is 1-indexed and column-major, the usual 4 blob dimensions in Matlab are `[width, height, channels, num]`, and `width` is the fastest dimension. Also be aware that images are in BGR channels.** Also, Caffe uses single-precision float data. If your data is not single, `set_data` will automatically convert it to single.
+
+You also have access to every layer, so you can do network surgery. For example, to multiply conv1 parameters by 10:
+
+    net.params('conv1', 1).set_data(net.params('conv1', 1).get_data() * 10); % set weights
+    net.params('conv1', 2).set_data(net.params('conv1', 2).get_data() * 10); % set bias
+
+Alternatively, you can use
+
+    net.layers('conv1').params(1).set_data(net.layers('conv1').params(1).get_data() * 10);
+    net.layers('conv1').params(2).set_data(net.layers('conv1').params(2).get_data() * 10);
+
+To save the network you just modified:
+
+    net.save('my_net.caffemodel');
+
+To get a layer's type (string):
+
+    layer_type = net.layers('conv1').type;
+
+#### Forward and backward
+
+Forward pass can be done using `net.forward` or `net.forward_prefilled`. Function `net.forward` takes in a cell array of N-D arrays containing data of input blob(s) and outputs a cell array containing data from output blob(s). Function `net.forward_prefilled` uses existing data in input blob(s) during forward pass, takes no input and produces no output. After creating some data for input blobs like `data = rand(net.blobs('data').shape);` you can run
+    
+    res = net.forward({data});
+    prob = res{1};
+
+Or
+
+    net.blobs('data').set_data(data);
+    net.forward_prefilled();
+    prob = net.blobs('prob').get_data();
+
+Backward is similar using `net.backward` or `net.backward_prefilled` and replacing `get_data` and `set_data` with `get_diff` and `set_diff`. After creating some gradients for output blobs like `prob_diff = rand(net.blobs('prob').shape);` you can run
+
+    res = net.backward({prob_diff});
+    data_diff = res{1};
+
+Or
+
+    net.blobs('prob').set_diff(prob_diff);
+    net.backward_prefilled();
+    data_diff = net.blobs('data').get_diff();
+    
+**However, the backward computation above doesn't get correct results, because Caffe decides that the network does not need backward computation. To get correct backward results, you need to set `'force_backward: true'` in your network prototxt.**
+
+After performing forward or backward pass, you can also get the data or diff in internal blobs. For example, to extract pool5 features after forward pass:
+
+    pool5_feat = net.blobs('pool5').get_data();
+
+#### Reshape
+
+Assume you want to run 1 image at a time instead of 10:
+
+    net.blobs('data').reshape([227 227 3 1]); % reshape blob 'data'
+    net.reshape();
+
+Then the whole network is reshaped, and now `net.blobs('prob').shape` should be `[1000 1]`;
+
+#### Training
+
+Assume you have created training and validation lmdbs following our [ImageNET Tutorial](http://caffe.berkeleyvision.org/gathered/examples/imagenet.html), to create a solver and train on ILSVRC 2012 classification dataset:
+
+    solver = caffe.Solver('./models/bvlc_reference_caffenet/solver.prototxt');
+
+which creates `solver` object as
+
+      Solver with properties:
+
+              net: [1x1 caffe.Net]
+        test_nets: [1x1 caffe.Net]
+
+To train:
+
+    solver.solve();
+
+Or train for only 1000 iterations (so that you can do something to its net before training more iterations)
+
+    solver.step(1000);
+
+To get iteration number:
+
+    iter = solver.iter();
+
+To get its network:
+
+    train_net = solver.net;
+    test_net = solver.test_nets(1);
+
+To resume from a snapshot "your_snapshot.solverstate":
+
+    solver.restore('your_snapshot.solverstate');
+
+#### Input and output
+
+`caffe.io` class provides basic input functions `load_image` and `read_mean`. For example, to read ILSVRC 2012 mean file (assume you have downloaded imagenet example auxiliary files by running `./data/ilsvrc12/get_ilsvrc_aux.sh`):
+
+    mean_data = caffe.io.read_mean('./data/ilsvrc12/imagenet_mean.binaryproto');
+
+To read Caffe's example image and resize to `[width, height]` and suppose we want `width = 256; height = 256;`
+
+    im_data = caffe.io.load_image('./examples/images/cat.jpg');
+    im_data = imresize(im_data, [width, height]); % resize using Matlab's imresize
+
+**Keep in mind that `width` is the fastest dimension and channels are BGR, which is different from the usual way that Matlab stores an image.** If you don't want to use `caffe.io.load_image` and prefer to load an image by yourself, you can do
+
+    im_data = imread('./examples/images/cat.jpg'); % read image
+    im_data = im_data(:, :, [3, 2, 1]); % convert from RGB to BGR
+    im_data = permute(im_data, [2, 1, 3]); % permute width and height
+    im_data = single(im_data); % convert to single precision
+
+Also, you may take a look at caffe/matlab/demo/classification_demo.m to see how to prepare input by taking crops from an image.
+
+We show in caffe/matlab/hdf5creation how to read and write HDF5 data with Matlab. We do not provide extra functions for data output as Matlab itself is already quite powerful in output.
+
+#### Clear nets and solvers
+
+Call `caffe.reset_all()` to clear all solvers and stand-alone nets you have created.
index 0babf79..a76cfb1 100644 (file)
 {
- "metadata": {
-  "description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
-  "example_name": "ImageNet classification",
-  "include_in_docs": true,
-  "priority": 1,
-  "signature": "sha256:a2b12abaa1eb252f436d59833c08ab97948c8a7a0513197f31afad0a0690e318"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Classifying ImageNet: the instant Caffe way\n",
-      "===========================================\n",
-      "\n",
-      "Caffe has a Python interface, pycaffe, with a `caffe.Net` interface for models. There are both Python and MATLAB interfaces. While this example uses the off-the-shelf Python `caffe.Classifier` interface there is also a MATLAB example at `matlab/caffe/matcaffe_demo.m`.\n",
-      "\n",
-      "Before we begin, you must compile Caffe. You should add the Caffe module to your `PYTHONPATH` although this example includes it automatically. If you haven't yet done so, please refer to the [installation instructions](http://caffe.berkeleyvision.org/installation.html). This example uses our pre-trained CaffeNet model, an ILSVRC12 image classifier. You can download it by running `./scripts/download_model_binary.py models/bvlc_reference_caffenet` or let the first step of this example download it for you.\n",
-      "\n",
-      "Ready? Let's start."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe\n",
-      "\n",
-      "# Set the right path to your model definition file, pretrained model weights,\n",
-      "# and the image you would like to classify.\n",
-      "MODEL_FILE = '../models/bvlc_reference_caffenet/deploy.prototxt'\n",
-      "PRETRAINED = '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'\n",
-      "IMAGE_FILE = 'images/cat.jpg'\n",
-      "\n",
-      "import os\n",
-      "if not os.path.isfile(PRETRAINED):\n",
-      "    print(\"Downloading pre-trained CaffeNet model...\")\n",
-      "    !../scripts/download_model_binary.py ../models/bvlc_reference_caffenet"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Loading a network is easy. `caffe.Classifier` takes care of everything. Note the arguments for configuring input preprocessing: mean subtraction switched on by giving a mean array, input channel swapping takes care of mapping RGB into the reference ImageNet model's BGR order, and raw scaling multiplies the feature scale from the input [0,1] to the ImageNet model's [0,255].\n",
-      "\n",
-      "We will set the phase to test since we are doing testing, and will first use CPU for the computation."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "caffe.set_mode_cpu()\n",
-      "net = caffe.Classifier(MODEL_FILE, PRETRAINED,\n",
-      "                       mean=np.load(caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1),\n",
-      "                       channel_swap=(2,1,0),\n",
-      "                       raw_scale=255,\n",
-      "                       image_dims=(256, 256))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Let's take a look at our example image with Caffe's image loading helper."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "input_image = caffe.io.load_image(IMAGE_FILE)\n",
-      "plt.imshow(input_image)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 3,
-       "text": [
-        "<matplotlib.image.AxesImage at 0x7fda204c0e10>"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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/XZh+9XBn/+T/zE/+dP/NH/oX/73OL56j5/7E/8pt+v71GJ4AZGaz0b0iV+8dpUsa+F4WLBiBDui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\niDUGv2jp+xatM86J6qEUSbmUwuzHdBCUq5ZLIUMfXahhSgAKmwAlFBZt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tPS6C5BzwGmH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S6YKg1qwc+dNJ9rQ3tNM6vE3IjrR9RCwhAQmmBvCrVoAkbsh86hlGhzUKtiVI02hmCl6GUKwaa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SgSiXlRjfs2I6ZZiTMbVn2dEPg0aMrNuOeGhuH21vpuJTiOJ9Y14jVrylBomGNMaFaIS4z\nt/OMtZ7NMOBMwDYjh0op524uMPQD3ovqIKUVrTQXux05DyLIV1qusUZ0qb3pqa2RYjrT+gW113Ui\n9NdnorrtNLaN9L1Yer13aO/wzsuN0jaJm2lGtJXGnIt+oVWkm7fyWqi1YJ1wPY0xZ3aqzKONMd/z\nuZWS8tm2LJg4CTMUghTnAltKQimLUv9EneYwCJw0xkgphcvLS77yla/wp3/6pwB84Qtf4Kd/+qf5\n0pe+xB//8R/zK7/yKzjnePfdd/nMZz7Dn//5n/MTP/ET/9+iWSo6V7yFOSqcC1SfRPisFceoqFWL\nayTLBlRZ2QR621EoBN/jrcUbycbJNVNSQmdY50qNkOsRnCfVTMuB1UtnO44bSgroalEUTmlB94pW\nDugQSFlRasZZyTQZbEdqiftjJldDQ6AAqTVaPREGJ5BTU3Ej/MCnfojPfuY/x6qK046PXnzE/f2E\njtJt5AQXuz1WW2wtlGZJC5KP3hJD0KQ8c3P9Ia/UHX/34q/48Po9Ll2g63uqipxO94wXgeN0j/eO\nlGa0KoybjkeXT3Buw/NPPiTHE24TKN3EkgI5J5blBV3fcHpg8BvcbsAUha6Neb5B2yNGPcFvR3a7\nd7m++xZ5XdHtEqvv6buesd+zHu+oMWN1xVnLRe8QjH3FdT00QzCw5sQ4bER6NE9opzkeT9zdv2QY\nHZvNjqv9hlfXL7GqYLsgXXgIkrfjHFiDaQrvDP1mZFMzqSTiWjidEsfpAKeJvh9IUZZltsnIph8H\nKlYOg1JxWrz/4zCgyHLVX2dQsiGOayL0O5EJaYO2jtiaSHRaIZfI8djo9wNKnWMluktyKnir0dbw\nzqd+mGWd2T96xnD5DKUDx6UyV1BG9LY2eJzWGKVpzlNNQKV7VAGtB7zf0IcTyzpRjaLb7ri8uODy\n4pJh2EjUsdH0XY91jmVZKFkkduK3j5xOJ+b5dPbbJ6ZpIsY7DqFjt9uy2Q74Jn7rLnTs93vGcXz4\nfHDnrtxyOk2Y2oQUdWZUil9dxiDi61+lUaqglIwBpkmwj9aKPMsaJ4qF1sBompJIihZlPCdxx3JV\nzqpRqiZXYQmQwHmPMkY6RO8enGEpJVSTW7LW8n1QTUAx2hpZMBswRRZUtVbQ5gHqYq196Lj/0UWz\n1sqP/diP8c1vfpNf//Vf50d+5Ef4+OOPefbsGQDPnj3j448/BuDDDz/8DwrkO++8wwcffPD3P25u\nlCmTnae0haABbSjFY3xgbZNs3LSi7yWC1DqHU2J5lEJZaGRSEYJJmRN388I6LTgsJoM1nuoKWIVu\nhbicOByO3L4K9F0QMSuNViOxBrQJVLPQbRSHa0dFY7qKbQHvOmp/4hQTtXYUVYi5PhTYMCxUr9mr\nC9544xlXF48peUVVw37c8qJlNBIYVpwE+pg+MKnM7f2R6/mEMQGtQJnCqb/nRfiAOVWu779NtzfE\nlgBDsCMFQ1wWYrvHWk8uiZQn3uQtSiiEccUHUQ+onOm2PV2J5KKobZIfOKKSuU9RlWUqnBbP4fiS\nZ08fMQ47jDOM+7eYDq9wppBOirwo7lMUJF+16Ozo+gGvBjm9rSOYLRvTY6rlauOo6cRyuiW4jpvr\na4xpPHr8DtRM3/XMa5ZD0Y84789dj6YhBPccFYYGRqDD8mc7XBfpw0zKhlbzeSYGnKHUm82Wcbcj\nOE9MkZqLLIBKRut2lrkJF7SVhu+Eo9n3O6gRawu1NXqlUTHRvCKnhXW9w/pLbNidA/ok3qLre7zx\nmK7nnTffod9foL2HohiCJc0L67LQWmW730BwYBzkKDPArMhzZl4i5ew4AmRDHDw0zatXN7y8vqEV\nyQH33uGUYxwHWoMQgiyrajkXzZmU8vnAXB6893LTkKu5UiK3m6bpAfrcmowyrLXM88yyLNQqEi5j\nDKVkEbqfIz2kKFoERSPFS2l9ZgVovHN4f54tCpdOCEVnGVPOhVrb+eov/NOmhVXwmkxkjWZdV/kW\nN5lnanWmWdUm+EctexClGhr9kDBbUkZ5f44i0UJ6Nxqjzw2aev3M/wlFU2vNX/7lX3J3d8cv/MIv\n8NWvfvU/+P3XX+zv9/H9fi/mgtFZgAQpYpXHGk2KldYK3pxD0Kro/5SRWYvSQBEhfDWOWh26JpZD\n4nS98vIwk1Oh6xSb3lOb5MEoLcuAJRaq0SRWYrQsrifYQBccL68n+gtHVY1hyJAr8ZSgBZR1WNfh\nioZyJ/nLFZSy1JKJSyG3SquVzeaCNx5/mj4M3OSZD6+/jfeZ7a5nmmdMMmBlOuZ8ILuMTobB9ejU\nCQxWWabVYA8n1nQgzi9pZkFZQ26RYHrB6ulMqxPTfCShOC0LLb6grImhsywqSd702KFMorkisGXj\nKK2iW08rnqaCDNO1Y+su0N3Eegf2kcOtmlI1Y318BpPs6JqjJbA6wcUbGDXSeUPvvPBPK5hShF41\nDKzTkRQXvGrc3L5CO83F5QVxbXKFBeblRIorm8ExDAO1NmJcQMm8TClNy8vZtpjovSU6z6bvuTN3\n0hUpiylFdILG4IxArrXWeCMAZBUsYFC2QVlYzjnjm80W5ywxR1RTnI43XG43KNtBNVir0F09P2ZD\n58Y6RazOWCdSHKWNiPODIww9aANGgzHUVMklo2qWZMscictEf3EhDiWdITbJVsqZw/0d02k6LyKl\n2PT9wLIs3Nxco5S8P/tersDzvJyD3Cz7/Y6uCzLiOHfIr7u3lArH40HspmfqfWuV1uB0OrLMH3N3\nd0MIgRDCAyFKnb338nfIFbaU190mYrw4X8VlJKcEuXj+tTHnYLRzRyiFT50PSFHECCSnUUqm1Moa\nV6qpGCVhaspYVGvUKs+n1so6L7RaH4qsMkayl16zCUomrvVBOUFcsNbx+pruvQdtaFqTW32AVP+j\ni+brj/1+z7/6V/+Kv/iLv+DZs2d89NFHvPHGGzx//pynT58C8Pbbb/Pee+89fM7777/P22+//fc+\n3v/99Y9x2tMMXL7lePo4Y7xnurunFnFoNK1QrbEulWwqpSgpKDnSqFhbJbK2VMzicXi62lhyQhfO\nGdgeTSLHRq4Sp0qsZBw1Q5xXJn3eghtLjoaLC4+34AbFXcncn+7ohx5rHf1wyWEqrPEezvFOzhla\nc+RsmOPMxXjFhd8Q14nnn3zExzffQrUZHxw3Nzc0IxDbJ7uACZ5NcFjXuDkcZJ6yLmTlKcawpoWa\nVkzw9IMQw9c5UrnD1o5QJdEztpk0GVzbcIpwrVZM6XH9QB+8EORbBCO54NYYKJqaDE0HIY6PIwyW\nKSzU8QjFoE4Kq3qGbDC6EW0lqgWDJQSPs45PP+lQWEpJ1FqYl4n7+xM0MH3HEld5ATfLcT5Ry0IX\nNixRiqqyclDdHu/Y9p1kmbcGCKbMe0MrIm+J64RzIqExquK9xmnYbDYsuXB7d+B0ukcrwDlijKzr\nAkfN1I6SMW7FF99q5GLbCexht5e0TC0Sq85Z1ttb2sZBbfS6x/WOlFdsU+cCsaJapTTJZu96j8Kg\nzsTx7cUe223QSuyVpVWOcSXFjEfRB4vTDWKhPbmkWYM+rqT7I8dZlko5SXSGtU7kXTRyyec3/NmS\nmTPT8ciyrkIpcpZ1PjJNJ7ou0JBu8fX1WOHOM8DK/f09SqlzMauU0liWiWUR2+v3Fs1hGCSUz/uH\nAtT3g8iBlOhAjTFy/T5fc9ezU8taKbKvwc/LspBWuW7HlOi67mGjXYtkyOcsW+5qGt5KAR8Gj7Fg\n7fCgiihFkkm1MSitqede0Z4PyTXGh9uHMQbTmmzw14WcCzFG/s+vfZ3/42tfFylj/Scsgl6+fIm1\nlouLC+Z55k/+5E/47d/+bT73uc/x5S9/md/6rd/iy1/+Mr/0S78EwOc+9zl+9Vd/ld/4jd/ggw8+\n4G//9m/58R//8b/3sT/7YwO9eiz+2dFQ6wlyxnfw4sVKcJqu81hgjSvT2vCqoFRBGY0yCjU0MBFl\nPM5ruVoFUNbiOivZ5VU22spZgoOyFqa1YKyXZYFqpFLRLZ+THg22NvrBUEzE+QzOoa1m2z/CqoKu\nN0x3M94CZ4+1NWBqxXaG1CIf3X1M5yZefPg+19cv0eZIaRptM7nOzAvczgObNHDZ7zCdYiqVw3xA\nGYM2nhCs/Ht1o9MObS0xrqAVORcMwhztzCP6TpZSzmwJYWQbthLmZQyoSs1gDOfPUZAanRHKN0bh\ntccFT86J2S/kNGKMdAutKbx1YjXsM3ot0BReW0LoZCanFUUZ5lQQf4BcjzQKpTqSgiUdqLVicDgV\nHsAI3nqm5SUpVfzl5gEILJ7uCBV678lpppT1nJ8tbhurKtZByRO6FayGHItsU62jtQLos/0246yV\nDHNj8WFkmSe0Llxfv+TyYoe1IosxJlApxCi55sO2QzdF7zpqLuTWsF3AOYFatNbIpbDbbjHeo6zn\n1ctXPH3mqOMWVRqtrJSYUaWQ64o1PdpqYKZZi7IXKDdxP7/iww+e8/HdNUkW/jjvscawLoaYkyw0\ntGFOK/bsA0dp3BgYXYeicXNz89Bhei9xG4r4sJUuRcj7OWdakw16CBKXHaMkUU7TdP5//gF88vq/\nIJ2usQZjNOsaWdaFnGXMIrIhucKv6/Ig88qlkHKkFkkCNdayrAGjDbkVSqr44Eg1c384UOpKF0Z2\nux1d19O7QMqZw/2B29tbDqcjxlr6vuNif0EfgoCUUeQYUUqMCih1llFJUsPhuHB7e0NOmR/+zNt8\n9j95F+dFq/zf/nd/9I8rms+fP+cLX/gCtVZqrfzar/0aP/MzP8OP/uiP8vnPf57f//3ff5AcAXz2\ns5/l85//PJ/97Gex1vJ7v/d73/d63vyENZFtuGQ2ilLPGcfaMs+Z+5tCMKBtorcBXRKndcEogY+a\nrHCDY+g8JSlcsNDg0lqWLI+XSyO1QisyMxuCFkZhtZJvU62QT8iCu6cxFQM5syaNHQuutyhAtRVq\nBiqVxjIlqjc0I7EYncl0TvNocwWp8sHHf4WzG56/eJ9WDPenhDXggmE6zhjTeHX7kt4KU9N6RNQb\nPZ0bCf2Oi2GDM0DNkrnjLWsEUc4UvB3RtcNqATPoWvE+0PUbhnGE1yf9OqNR9L4HrTgdjszLRNKJ\nru9ltjNaaJW+66BJvLGz9uEaVasUoteZ4UpBU4p5mriLws0M3p+hyg1rRcQtHmxJeu/GkRotnRH5\nWEqJp0+eMM8zHz3/BOcNRgVSqVhjOR4OpDQzhL0AOYzMvDVGYieA2haM0fRDx4tPbkWW3JoIxZXC\nKI2zjqurJ9BWWhbijjOWOC+0GllOB5Z1RqvHXL98ydh1TMtECD2lJHrvWeMJ66BhGEJ4GMUY00sQ\n4HlGti4L237EauiHDdZJHC3NYEfHlStCrm+Z0PWEQUTyqhlQAeUtZvOYqX3C7TFyuLvBe8/FxQXF\nWpLWaGPZbHfU2ui0wbuOoI3okd3rA0ZE7q+v0n3fY85zP60bzjmGYWS3u5CRgdbnua49E8gkvdOd\nO8bXWUwCdk4Piph5nnHeS4OSBe5Mk830OA6M45bLqyvmaWJdI6VkOqupteN0OhHTkdPpwLJIcbbW\nncEflZgip/lETiu1aVzo8NNEWuezA/DI8XhkXiPuPCstVSj8RhtqFfeQ83J4euvgPH+NecV5z+XV\npcwyOaMFjcK67h8qi6j2OiTl/8cPpRT/9b9+xFX/Dt5uyQ5iuWcMEZrjcJ/45l+/YDka9lsnp38p\nFKvIpSCjUINVme2mI3QjmoqKjsNaOcwnSaOLlTjNDL1hM3rGvqOawhqrJBfOhWUuAv+gULWCUghK\nM3aO4aLhR40OHYO+4HLzg3S2Q9dCigVnDJxPcnFFaC4vt2x3nmEXOM3w6nrioxfvcThd03WGMfTo\nJvT4YB2d9+x2O3zwpCrdo9eGYRwYepGElJwoWb5NiiKFq2XJX4mggWA6cbycN/7aSAcQzydtP/RY\nY5mWmbvbe3lxlYo1hmHo2WxGxmF4mG0dj8eHjeL3pjvGlKA1Qghnj3dmWibB4VmLbrIFfb0o8F4C\n0JoGciEtM6ZFSly4uhg5He+5vX9B73dYp3j25BHeBfb9lo8+/g7WFcYwsNtfCuyiNpSy5FpZU2Wa\nFw7LwifXB97/4GOub++JWb4G+/2ex0/f4PLJG+wvnmBVY4kzrSJ59Icb7u8+oKYTTx5dklfogkbY\nQpXdZqTkiNVGDudc2O+3gsKrhZQSwYqbZLe/QBspMGM/0Pee8fIZ48Vj2pOnKLOhxkTLneSo20Kz\nvciMjKFph1YOSuTmo+d85+/+H24Ptxxu7x6u4bVU0Ss6j3UioUI1lFUM3mOwMkP1RmakSa63nfdy\nSMT1IS/JWodzDucsrXGe47XzHDk+gJ67rqM7y7YOh8MD8b7WzLKs8pjneAitxf0UnCyRdhd7nj59\nxnZ3KVfumOWmpCrLsnB3e8vxcORwPMjV3srn2xDIOXN7e8vLly9JKbPZbNluZZmnkATS1mSL7zrp\nhH3weOdECtXAhwBnFUEuhVYboQt03eZc4KUZUKoS1zMFC0VThv/yJ3+R71ca//kgxEeFzge2fUdd\nM6d8g3GOjfU82ffMn7rk2397y2mqDIOh2zhqSOjiME1hKhh1doqgaBoh6yCnfl5W5iliUZgGHoXX\nimYsuoN1bdQSsa3KqZwbLUqspwma4iq5NS7CFbvxMY/3b3K5f8p+vKKzYvJ33uOtxxpFzHIN9MHi\ng6FSybvKm/uFT10+IpcsWDAjsNqaC50PKNvYDJszYl+uuaa91ir6c4aSzNliEgtaWiJNV7rSmNoK\niODdOoMGefyWWE8TxmhCL9rQZZk4HO6JWeIdxl5ebM77h1iI1xKSnDOnaZJFmhbi+rzMoDV9CILN\n01rI7Naizz9qqSgthb9RRXCuLaBIZaKoxrrOOF14dfOKdZ7o+w3LtDDaAE3jfeDlzQtqbVgrS6uU\nqzzXM1Vf5k6iLWy1UVOmC5a+C5S5orREGQybPdZY1vnEVCGXjA+S0ClBa5rgNwQ3QlmE4k/jcrsB\nLfTzoR+pqklUtFLCyqyiHTRao7TidDyw2V8IP1QbjPOoZTnfbJqMKvQGNiNGXwKysGhny56iUXNk\neXXN6e4gB50L2P2FJD2WfN7MB9koo2i1CB5PVWZnqakS15Xt5Z7ddk9wjqYNnCU3uciBWEsl5QXO\nxeT13FGff52LBJuFcWDcbc+EKrGc5pxoSjrMaZo4HA7c3d09LGGs9egQ2GxHfDeQcuF4f0Ab0Mgs\n/fV4oWqF6RyX/ZXcSM4jl5ST3Dy1kg6ZlZYLeV3xRrSy5pynDkriWrSVOBWQvQWadT1RaiatmeW8\nbR+Ggc1GvpbLPBNjkgYq5XMBVees9u//8c9WNH3bcbrLtOW5CJq7ws0nmv4J+ACf/oFHGAzPn9/i\nvEH5c+yqq+xtx4gGa7g/LcR5ohs7dE2oktGnBZsye2NR/ryFL5XjdMQag7Yeby1mdDhvWJaVtGSc\nh2RX3NjRjY4n+ye8ffGDvH3xKXYXe2H6WQ1O4a0sQTabDS4IJ9IqGUKXlCk1k1MieMX+SSDHldqg\nINEBSiuBV3SdbBfPL5h67mCEd/td3ZhzmhAcMWWiX86uliz5QylTS5brM5KSmJOMw5WW7Pi4RilC\nzsP5DeD77sF3W0ohnfWQ4qaQN8b17Q0pZ7quE4huEOdE04pMo2mFdQ5jxaJntEafdW+vO1SllAjN\nncNkQ7MG1SpLPKF15XQqOGfYbnag4P7uFqsbm82IUvUsp6ronBnGwOmUKCUDlvo9XfAyz0Ja8oHQ\nDbh+wzQvLGsidCOpFtZ5ZbMZ8EaWNY0sgXBnneG8TDy52pFjBGvpg5C3cl4ZN/1ZfuNxzrMuC7rz\ncjA5fxaEe7SVyAu/20O/QdmRPCW0bhBGtOlpVQvLE6gVlBbJzauX13zw4YdM6wQlM08nTtOdzPL6\nEa3V97hb5HaTUsYax/1yYlkL3amiRkNOSQomfE+scXsgQb3+Xi/Lwv39PdM0scZIN/S89dZbDJsR\n4yxxXclrZD0rEow1DMPwsF3f7/fAdztN+/pKDMynE7fLNSEEodpbKzCQWumdZQi7h+0+CAXKoCg6\nEZyHYaD14/nP6PMySyRCtTWm04lY8kMXXbKMI4a+l9exEnfh60VRjJF5nmitMc8z6yJLSmss1snz\ns/9Si2Zve7RqlHRkCA7V7cWXvESc9+xt4AfeucKFjhc3L1FaYZtiXVZSD+5iQ3/G498dFkhRoku7\nTB4LtjPUmMG0eQAAIABJREFUoqnKEquiaocLms4HNv1I3/f40KO0YskLyxSJKVN1A5vpg+fZ/tM8\nuXiT/WbDMPY0XUhkbLUscSJXi1kVpUgGuFyZemouaM15+9hByyyLZV1mbGuyMVYKdb4G6irSB+et\nZFub72ZzA2c9nAzvu+AYh16uxdMk/EFlRcQ8zdze38pGlEbXS0Lh8XiUF9w5GO615lUhOrq+7+Vq\nfZaGvC5C1lp22x2lVbq+Yxz+X+bepGeyLM3r/J3pztfM3smHcI/IqYrOLkSjVrNEQq1GqFnxXeoT\nsKL2tUbs+RT0gk2rQSWoJIvKqsoks9Ij3P0dbbjjueecXjzXLCIFFBIIZdomIjzcX39fs3vPfZ7/\nWGGM6PVe9nuJOCsr6rqhyCu0lptZJEHyNUIMhLAQhQznHPIsxXAHCldgjBBKRdGilLx3m82WcehR\nSg7FvMxWHd+yfo+JkIJgbnoWZllpwuJxrqAsWsqsJCjFOAWS8uz38t5UVc3tbie9PhaGqaeuc5Yw\n0hQ5hc0YTkeCNjRXV3g/MUynNeszl4YAl2GcJXhP7iqZdqNMuBZNVVaw3ZKymuQK3GYrlsnFk5jB\nymYBSph+FMZktO0VRfnEkiLRzxwO3/D88rRKeewq2xF2Os8zMuOIRIpM/N7ZbkueWU7dHhEQuMsU\ndy6VOz/Izoeoc46721sSawBHSrRNg9WGw+FItz+s+K3ARvJgFqZbGPSSIi/QRkuYxuIFikiJU9/L\nA9l7yrISJUP6Nq8ykYhB4JxEEv95Euy0LkvaugZlLrBCjBFFwqzSp7KssOuD89xeuoSAD5Gqqqjq\nmmLViV5+Zq3kvSlydGbXe0ykT0WW4/TvbAixJnoPPqfKKrJNS+UyhrlnmSPeaqqq5v3bjMwq9i8H\nliWyLIlhWhhiorKGMgcdCvzoJaGncTTtNdYUQo5Yh1M1xhU4aynyirKQMIMsK6Q3WwdZyxbpd344\nfiSGhev6hqou0U6zxLA6HNSao2mZpp4YZrF/kciLmk0JeZZTlIUUh/kZP0uWIwhulFKQkquQ6PoR\nSFRVCX5ZL3AB2ZVi9eAuaGNBrZKKtbLWr5IMEDYzL3NKX9P3IwuBarNBh4SfZiIwrDILCfOdRBSs\npZVzWgXMbuXtTOZothsaJdqtlBJKG8bJczqdAMhdTeZaNs3u4txZ/MwSIxE57Bfv6U8DIUiwRfKB\nyU/4JWBciXMF1mXcXr+WsrtxRqnINI0UWc4wdaAWrLLYPGNaZpRWFFlJ52eWBMZklJXc0KdpkYdp\nntFNkTQNWJMx+wWlJNxDjxPj1LFpDP1hpMlyEZv7marekOJCUZQcDnu0u5O2x2WCxRExxEzj/Uy7\n2TF0J2JCFB2ro0XXGSkvya6+ItgG/AI5glkOMwzPqDojZtfEpDBpQUnjF80XX/J3337BMhz5qz/7\ndxzHB2KeePz6nqfD1xibc321u5AuVlnqqqGtagJyUJ2hlixzvH37PUzmmP24fo9CjhVZxjSK5dI5\nIZqauqapRQealoX+cGCaPbP3KK0IIRH6k9T4xoRf2z6dM0xDj1Ia5ySVPsRAWA9VpRUuUxLfFwPH\n/UHE9SnispykzGXyzeoSvSzUZXN5mH9XWnTeXmKU+u+m3pBWXaa7hG2k9UGcX4YPpZSQv0mhjTQ0\nGONQqIsSIMaIWUX9f9Prt3ZoLnFBK4/NDCoWVLrCqIG0KI6nhRQHqrImBEXmSvIs0HUvMsGlDOcr\n0tLQ1huuq4wY9Lo2OZQrJVUFhTIGZ3K0cVhjQYmDIHPCEtZ1KxPDClQPfU8Cjv0BZcSVoIgsS7gI\n+ZVSq0wj4iexeCYSKsJiLYVzpBgIyyzZgSvZkueZiHaDpLOEEBjWbm45KBUi8ZGJKqZEiiKCzrKM\noqwvTPY0jUyT4HLLslDXNUVRURQ5TVOxhAVDoqgKMmfxy8Lce0IKAlFoI6ttWC5TkmBS9rK2GWOY\np4l5mmTiU5ZxmIgxUhQVNrOU69pujWFaA3/PjO15Gk4pMs8TQ7cnLTNKGfKspLAZdVHJzzvPpLSg\nY8QYBFLw4qBSZMwhYFxiGnuqqsH7URKudIQo4vQsd7RNQ5HXmCzn48Mzh9ORxUc2mx3vvnjDbrOh\n73u6voMAVZGRuYx5HCmcxRkLSVOVkjTfDz1KKdrtFWGWNsNpGkQGVor10DpHWVUYZ3BlQZFl2DUo\nJGnQRU1aRsKxZ3g8rY2hGcX1jG2vSTq7hJFZq0kYrLvhi9/7MU+nF477gapqsZklzwqKPFuvnZ55\nnkgxME4js19YlgljLLMf6Too8ieKsuTUHUgpkWeZEILrwdD3PVlWcjqdZHWGy8bhXEZVlRiV8OMs\nNs3ei6xodf+UZUWM/jt4oGwBXXdinuW6PV9XRVGs15ambdtviUb17bqfZdkFVz8fpHKvpQsp6b24\nmqyRa1ivv99p0FYmdgkcyQVKAiB9+3UwKCUHrXYZyWppnV0DPlD/AylH/zNfh9MjTkVad0sKOfMx\noFxiGRfSHPn0zTObNtC2DZkp2ZSGuQukEHl1/Zrr3WvyesMu22BNjlaigynyAmMLlEbSVpLIX6y1\noGRN8OvqIAeX9EVLWnPEWk1T1qsVTNaIZQmrmV9d7GXTPENKmJRYonxf+ECVZXijSXEhLdIzlOXZ\nKr1S+Dms2ZNizTPWSsuhkTCJuMo6Yowi8rbi1sA4gFU/N6EU6+Ela5ExhmHo6LpOMgE1pCUwLx1+\nWZiC/AwaefLHFPGTX8F3LeRRFCLhzHzLf8t6RQIfRkI4C38FY8ryXHzh66/F+K2j4lw/odbg2vND\nIYSIQZJ9hmmQWgilqVxJXjgWP5BiZJ685DK6XJLTrSIGYT2VAhVEwZAZS68TEHCZJS8KglJM00w/\nTPhp4XDoqKuCGBOnrictmmxXoEt3mVwkT9ThZ880B6q6YRwG8ixDJcNmc0VcEnYVfC9BbtgYI9ZZ\nlLVEpaluXxN3tySbo7oeUg8qI/jIX374OUVmuKtaYcVdSary79wZUnlMgs3NG7549yO6pwOFK1Eq\nSZV6pqW1YBIcrxvkM86yjKqqxdIYJ1lXh4G2kmSjYRhIITJ6SSoyRg7Hvu9Wd1BYlRSNaC5Xq+cw\ndixhoWkbGTwiNM2GqtIcjwf64USMyyr7yUlJrlO9ypjkwZku4vjCZes1I8RTiCJ2n+eFuo4r/qkv\nEMAZKsoy+XPnr51glXrJQzfME36Wo89PI5MThcdZ9pitzqNgFpnwo8HEGWbNWVMqldN/8+u3dmjO\nUyCoRGkUySjmaWHqRvrxBb8EZj/zsRvxc+Lu9jWmKtlsDUVW8e7mHbv2FrQmNxlKJ6zREuu/AtUp\nwcSCw3CJl7IGa40kq6yyC1Rk8eKYALAObu82aGNEgBvlaTyO4wVXSUn8yrIeKYw1+CBss589duvE\nMWIsWV6gjVi2/DIRkwR9kLToKp0jhcA8Txy7E+MwMowDbdNSqeoiJHamurgtzo4MEePL10BFEfCu\nMonMZczLjJ9mhmkErciMIXOWuOoXTQZunTq/a3ubVveE957JB/F5a0Nu5UIOIaCtpmk2NHV7kRWF\nEDiFI8t6A5+dFUI0yeQQFvGDn1e6wuVYbSizjLYueHr6CNGxq0tO/oWKjBQ8y9hhq4qqKAhLIM+E\nUQ/TgnMFmQs426MmyfkMFKAMVjt0bqW6+PM9dV1TFgXGyEOkLFrCPFO3GxSRoqqZ/TOBGT/1oGCe\nJ9qqFnmZFU2fNo4UDTGuh8PoubpuqauKJSqy7VswLWSWw4e/RqcjPnlMNAyHgU45XB1YhpGs+vY2\nlTpiLg+Zm1df8Oviz3GZY5h64hIwVuF9ICoo6hq9NmXmeS4tkSHQj5AXEv12GDr5DFCUeU6TlRdn\nz3kbODtmzhOhXTW6j4/PdN0JbRREST5rNzV5YdEm8fT4wsdP39ANJ3bba7768h1lXtKspBgK/Cwb\nzjRPdF3H4gJ1VVG3LfXaR39evc8PWuCChYIceHVdy7UGoA2ZFYkRJIJdBM+Sd3EV1cfLwQ1ctKXa\naFKEQCCayELCL15yDmKicNnfeHb9FomgDc5pMlugtbyxi5/RSTpG8BIq6k+BpZYUly9ur2nrK7b1\nTmK5UhC8hUQyCjLQWhG9BJRao1mSRitEl5bpyxt3ZohTko4Xu+IhLsukSN7KCL8sM2UpxMs4jhd5\nxrmHxmZ29UUrTl3HN58/scTIZrsR3HQeybIc1hX+PKGldT0/rxoX7EULk33qTvSD1My2bSvryGUd\nEtC77/vVoWFZwsQ0zWKxXJn1EBc04jcW94fGZTmgICWcXTMMUWi9dgBF0QE65zBbwzhLXUSWyYrc\nnXrGcaKuazabZvVcS0NvjCIFOq9Z5xtAJpbl4i1OUTqDrpqC6COb3YbSWvpTR4oJrSKzHykLwTy7\n/sC81vzqpIhKcTx2FIV0gqu157vKCoZhZhoGfFJorajrEu8DSsmNOM+zrGEuUVcbwjTJpK4NRV6y\nPx3ohw5nG0l2dw6rBWtdXIY5k01Wo9VC5uThYIzCLyN+UZR1Toi9TDA6Z/P+K8bDE/7lhW8+foMz\ngaYucbnF5AYIkIwM4knaMaOWKpa8bAjW0r/sCSmwPzwTg5Aq2+0V1ze3sIZshBDo+46UEnVZ4ceJ\n/ngi2+4omxpbS6CH2B4lQrBpGm5uJPT4fA2KvEmz2Wx49eoV0zSITzzB1dU1VV0SwsLsPVXdsNle\nM82B47Hn06cHrq+ueHV3R71piSlRpMQ0jpKb6ztIMiUGoCqr3/CrT9N0aQ09r+TnCfOynodlleEN\nxBjIs1xS+6MoR2QTU6uMz2Dtmv4UemIUPagxFqs1uRFJol88AZlcx3WA+q+9fmuH5tWmZOo9MSwM\nhw5jwE8LyinyvMItmsXmuNQQBrBVw1V9x6bOsZmkqYdF8MHMalH0L4F4PpBSXHG7sKYxi9XrPK6f\nZTaSr6jJMrOu3oLJ+CVAEv+rXV0SRZbz+eH+kuSiyXHGkjvHvHhM7ng+inSjrCqxfeVyMAlzZ1as\nUA58s7KBXd9jnKXJCsLK9AlQnqjq+nIhLWGhLAu0MnTdSSRHrpAkmjBLZmDiAp6b8wQZpAoEJd59\nrQTrVYq18iH/jZCFFAJ1UYhAvGlWYfTMYerxheCnu6tbqqoGIn6Z6PsRP01oLe4TQBhz1CWsoZ9n\nLJEYFEVeQ0pcX2+x1jDME85qJj9ztWvx84DLNNMYGYYJZw3TNK6NjoIpS6yXIsQIEYzWlNYxjjOn\n3uOniW4c8CESl8DQd8QUCT7w5Rc7UqhFHpOL373relymyLKckBJd3+Gt43Z3Rbc/kpU5S0oYgqRN\nBU+7uZJA3wh1VWOyGrQ4gcKi8IcnPBkuA11Zrq5b/vwnf8qmbvDza8oUSGsaE8iEuQx7VLklJWF4\nv/zRj/j4lwv744GUIqdjx+k0kJLGaEtdlJTOUWy2PGnF4+MTY9cT5gU/TizlTGa27DYbrLMSkhOj\nsNbzTNvUVFV9WdG11mtAh+bqakeMLafTEaUUd3d34iJaFvq+o65O5HlJ07Q8PT3z+PTC5/vPfHp6\n4Pbujqvtlm2zo212tM32ou8U0tBzCke01pdUJqXTSiiZ1RyRo/X5wZ/our1wEVXNHAPBB/GwG4X3\nC113YpommqbBGHtJdYor6bksC/Mc1nskUXgJGZnGEW3MxXb5N71+e8VqemZUPYtfyJaAmjXJTDgN\nRhtsUZLbK7K8pCwKCmtxdiZgCLOsEiHKSqqdQa+xVj5FjDMQICTBmvLcYa1MQpAuIl05MLlMmSEE\n5nmUcf68hi/yBmuV8F6qgeOqlVu0WlnjtDohMkyDaB+NxFHJhybd203TMI6eGPuL5kwpWLynO504\ncE65VhR5ToiR0U/MYcFpg8NyOp4wWpo6i3ydGgHWEAaRDpkL5ikXi8DcahU653l2cYGM47hitiv5\nFANZlvO83xNDpCpFdTBNE0HJBK9NRuaKlRyTG+ywfwECmSvQOjEMo4ivh55plp75dnOFigtFkVNm\niV2dEUbP4gdcXkBYeP/2C+KS8L6XzMruAwQoXcWSojixnEaz4JcRl9cYrVAssOLaPniGceI4zvTd\nRAiCi0nO5ExhDJlVZIUjq1ucjnT7e3Z1ydPjC29fv5Y8xqComwpjDXld0U8T280Oo5xYYo1hmEbK\npqZsasYp8ub1DVy/JaQM5XLy3Zb+4RP3nz6TOcvbt2/59//u33P/8sj7sUO/PNOWLcnWItVWwGJQ\npxdSs0OpjPdffJ8Pv/hLDv2Rtm6piw3jPOD9zNPzJ47OkdmKmzu1TtQRYxXbqw3zMnE47tlebZn8\nSIhrkWBcUAmU1pAEHkopSVp7lq+Qll7rj4cVzrIcDge6rl8Dhguurm/ZXd8RCPRdz/PzE49PD3g/\niYzHOGIA0LRtQ55XpKSYppE8zy4yojPeWOQNqhCrslRcGLxfmKYJBeKcI7IgZo5+HgnzWc0i4Sze\nL2v0nVrdTIEQ4noGCHzRdd0lA/RM6PW9pD45+12M+T9//faIoP7E5AdKlwguooJCe09MkTLfosoC\nYwrx1TpxgsxhIU6TlCKtk1GWief0zGivDiohWLQiz865ghHvJ2G8/bcHyiUVfF1pl0WyFe2Ke6Yk\n2OHxuK7Sw4DLheE7O3bM2nuTZr+ub7IizPM5czBcJlxJwvYXllBrzTCMeC/+2YD0dmfWiSc4QZFn\nFEWJ0eYC2iv4DiOZ0XWdgOyrpSyEFaNdGVH5uycRDxsJgvV+XqUZkl0ZY2LoJ2IKl/W6Gwb6oWee\nPdZpbF7gssTsZwhyYE/jyDxNdP2RTbtjWcIK7HuOxzVFJ8u4u7kis5aizNg2FXVVCFZaiF729PyJ\nw8Mv8YcDc9IoNG2bM55GbL6h84noJ2LI0MqKgN8EXJ6TxwI7RwKzWFo1FFlO7qR21/tZxP6xoMoM\nbdtgtcUoxTwsbOqa0+FAWTl89EzTgM4MHgW2QmtEZRE1KnMkrcmaAqst4xy4zgTP9OOIRaP1DSF6\ndJrFapkUx+7Ept3xB3/wd3h8/JquHzD5iDsdKHclKhkUAW0d3edPVDZHlY6sqrE2x08Tg19IC1zd\n7mStNdB1HafTI58eP1EWJXmWUazGhbquUEpRVZIxMPtZ7voUZejQjmEYOBwOxBi4vZWKFdHjiuPn\nPH1qLeLw4/FZtJ13t/JwTlKS5rRm27SUucXPM9Za2rZBK/F+T9MorbJ8S8qcmwMuye7WYZ04dM6u\nIMlFVThrYSUV1QrjOKVJRki/ZTVhxDhwOBzXjZL1vg5r3qdZN8V2Jak6nh73DGMPCGRF+TvKnqcR\nESMrUM6RaRiGCR8WlrGndRtslmNNgbGOkAIsGkXAGntxCACXD/XsASclafjLS6rvaL2ka8Rc1g9Y\nQ0xXMa0EBujL106KNQ1mIS5hxSSFlT9HZpWlxPwvK5bitEy9uctIiouo9ltWWUrIziSJfF8SbWat\nJcQomG4EqzWFzSgr+Tnm4HGupa7ri697s9lewHytRdtaFPmqC12ra5dFLs7VSdL3PcMgWOU0DAzO\nkWVigVuWxPEkSfBFWTLNM9o5cmsIfmJZFvwsaeDGKDSKvpcAhU8fP6NwZJlnWWaOpwPzMlJXFUVu\nicFzc3eDtYZlCey7EaXhi3bL9faaN6/f8Xh/x/7+gWo+kcaJ/f091bZk9F6G6lkMAWfLqSYxLjPa\nZGA9arUY1k1NTYExUltytqEGP1KXGVVZsGtaupdnmrZlmjqKssT7yH4/EKKmrHLy8gadXVFVt6Ak\neYswsIye/bFn2265vrphnALl1pJttlJ9y4RCM+/vUVNiu71iel6Y55EYpJ/o6fEJbMb27g1EL3AS\nkIzm9HykMAfM+w1oQ1ltyMuS3S4j+cSyPtjyvODrD595fPqGGBM313fc3t7y+PxMW0vL5zzP7Pey\n1nrvwUDbtiglXUDO5uvDe8D7wPF4vMh+nHPUdU2MC13XARITmWXiXX+8f+DTpw+yTWWObdPy1Vdf\n0r55K06j05HD8WF1Ckkk33czCaZpRmu7CtVzyjKnH06rFCojhcg0+TU1aQ2YDpEUSoGB1jXf+4Bz\nUmqntWKzqfF+4vNniaIry5K2bVeyaebx8ZFxnHDOrvDCZiWa3O+uTtPEDOMVKCNd5EoKtJZFoW0F\nWYHLLc4K0aC11HpecDrkzUerywFkrcUqIYOKoqCupaojBE9KiAsok1FcyIkkuHtiDSYoiFFWORGP\ne0L4NhzgzOD5daJVSuHHia7vGY4dmRNMtClKiqJgipIeY1dbodZKAlFXUbDRTjInnUWv/dAoRVrF\nvKz4Y4wLXX+6iG/zLMO6HGsN4yhavaqStUowWfEYS32tiHeXlYW3VtjgruuwmSMsnvG059T1LEvE\nZmIPtNay3W5/QzOX55Ksk+LMNIm+b5omZu9ZQkClwOnwJAfz0JOSNP0p4yQY1hpO/YncOUyW0TQb\nrLYsQfHwsse5QFbUXL91vHaa0/FAXjfsXx4Zu0dC6DExoDOJnlviggkGFmljTCEJfItDkeOTxypH\nDJL8bZyE8laZo6xyen9iAQ7Hg0yJGspNw7a9JUYYl4mb2zt22yva2zuBd1JCDSOLn2jaLVpBmgeK\njdRzLLYQh5fWpARZvaUfn3Am4/bqmsPhhcEPzPPCz3/+CxSK7//+75O0k68NLENPvWsgh6QCCsgt\n/PD9V8zeczoeOXQHpmmgqSt+9L0vsSry+PyAXyZAc3V1g9FCvC0xrA9qgUaSMliTA4nuNFKW0LZb\nrnb1mskpwSBVVZDnJUopjsc9XX9gHCeuru4oipJhGJn8gnEWF6V2YkmBj/cPlE3D7etXzEHkXt1p\nWLFKt96TgaKQa9b7hXEcOBxeqJucsfekGKlva5Q2pCIxDiOPT0e60wltNWVers2ZjmmaqesaEDIu\nxPFyXy9eMMrDfuR4eEFrzaHr6LueLHe4cofNc0ku8zMYTZP/jq7n169v8VNkGkeiTwyLx6sBHcRW\nZs25qyOuU1Ip4vXsnA+YrSkt7nJTn2/wlL4jDVq+c0iZ6mL9OjtYRK8JWtnV52xpmoYQI6dOBL/S\nsLdcIIGzjCHpRNAiV9puWvJM8J8lSHXo9fZaLtKUmGbP6XhAK2Es86ykbRpJYylyAqITDCs84MMC\nIaDVWZs5X1b9GCPTNNB1i4Dn68SrteF06pimiboqGMZBNG3GMPtZ+sankaEfsCv7b5xcAn6eVjxH\nft6z/XKz2aCUtA6e8VMFDONpxTRXPawPjOPE6fiMso5p8VxVLTEEnl+eKd+8Is8ykYFUjt3VNWVV\nUxWVuFNmzzCd6PYPnA5PEEautjt+8O57DO+/Ii2a//ThF8TjC/M8UBYFyzzQjyNLWr83ZQlrMM3p\ndKTcVORFQYqRXFUoq8iNwSlDSgshKRIZ9W4DStFsdnz1/d8nRkVV1fT9kdevXrPZ7uSzAsZhZPHS\nVomC2jn8KORDkWmMyUg6kdSEMRuGx4+kceLr0wOzX7hqS5bVgRWXSFVXzLOnRLIG5tOe51/+Bdu2\nwm4qYZpVYNuUlOYGH0fKMqOdpRRPA3nm+FvF3+Lnv7B8un/k+fmB7XZLntfEGKiKkjyXNVyj6XyP\nTopm2+C0Y1p7hGT6i4Q4k+ctLjP4ZeCwP/L49CAxcC6jyItLy+XpdKTdbMgyx+l0knzL4+kCB4ht\n1zJ0vRSs5Rlx7VgaZ4VZZpZl4nQ6CEz1QaIIt1c7bGkoixLWskDnMvK8pG7KNekrokIU6G6Wa1v+\nTrvKCAPWZWLVVIa2btBGcX3zCpc7zJpBavMMozUhCsxQFL+jh+btF28osoKnw4n7j585PA1inTMZ\ntXOitUSBVpRlQdPWWJPjMnVJoAYuZv8zmaNUuuiyzuvH+d/PLpUzYXLGGF1WkBc5i5/x80yWFeRG\nrViIsLQ2Ly4+2XEYGIee66trEQMXcmANg3xogx9YDp7MKqyCpC3d6cTz8wtfvntLXVXkRUnbbDge\nj2RFQZY7lJak6a7vpZaBCEmmzvOheT70x3lmGAaaprlINc42TWM0p+6E956Hhwe0MXTTwDgMWG0w\nSuOXBd+dVhVBlCoKl6NJGCsuisPhcCGszsnd54fUsixM034lnOB4OrDfH3h8fKSpa3RuMVGRVSW3\nuxs2my1ZkbFta3a7G6pmR1GWGCX95C5z+JAzY3DGsn/uUcuCWvbUu3coVfLV997xfN+ilUiI5smj\nD88s9585hYVpWfAexmmW6LbZc4onMSNME0VdUDStuE8Kmdqb4payraiqkvfv39O0Ow7HA8vKwFq7\nXmtKrrslLmirxGmVF1BvMCiKyRPTQAgDOiSUySHNBDxZ2XJX1fzk3/xb/NzS9z37/Z6rZkOe5/ix\no1x6lMk4PN8L4280b5XDKo1KnqvrLb/65SPT2K2rbCl/1ntUSmy3G7Kywv3VL3h6+sinTz273Q0x\nBjZNQ5ZZ6rrmuD/il4XH+ZFpmWSbsIa+P7E/CN44jtJL3zTthTQ5HjsUllevdmts2+OKIeZkueCm\n0zRR1xUhRP7kT/6EP/3TP+XHP/4x0+zpxp4iL4h9T4wzeZ5d/h5JaNe0zQ0xCRmaVTmH08Tj05FN\nXVJVFW1b0TQVXXciRqjrnM2mxdiceJZbxcg4S47mVbMVuWCKLOtkq5VaO+DNqj6R7M5IosxzMZro\n39H1XCmDczk3NyUQ0FnkeFAEH7E6J6LJy5zd5opms6XZNOTrSnp2qyzf0VOF4MkywS+/i/mdRbtn\nnPIcTHHWgInk50heOPIiByVumRDkSSZhxoFc2YuXGkRcneKCHwdZ0+O0Jr60zPNI13e87F94fHkG\nlRj6kbKocHm5WiYTrnBUqabrexILeV7Q1jVxmXl4eJQbNSvIigKz2slUFAD/bJ2c5/miH1XKsN1u\nsVYzjsI4ZllGUorKVGItMxY/ewY/oUlkRhK5+yUyDEeybOLq+oZN26JJJKU5nU6Xaf6svRzGQdjK\nUf6LLWYlAAAgAElEQVTex+dH9t2Rp+cXulNHXhTYt2+otwVX11dc7XZCQOUFxlqsSVS5BNs27ZaY\nFK4UVn3MwcQFtZwYDs8Mx4GivmbRkbjk6GILNuLMQomimwbSwwt+karaFCMPj5+wx4If/eAHl/Vc\no1j8zDAPlM0NeVniikxcTVkOSjP0A8EvzCHgQyIc9lSbjYRIjKO0hxqHcQU6q0jWkrRDZS1qGVB6\nQesKEPIjb24ZP3/i48NHvDb8xV/8nM/396QFfBE49Cc2w8j8/Mi8eA4PnxiXhTSOPPz6F+yu3+CH\nPb4/cjj0EjOnxBhxtuFaZ9iUW66tRanv86tfOT5//rhKdfI1/s1TlusDMATGeeZl/0K9afneF1/g\n/czxuGcYOmL0zLPn/v4TXdfTdT3eB65217zs7/n6m18SI7y6e8ubN29Y/MTj0yOn0wHnpNI4z3NO\npxN/+pOfiHTKWdqqxqCwTkNYyLIKm+cUdbtWZGjyvOTq6gprHX3fryVv35JFz8/PWFtRNzkQ6YaZ\nrLAUNqNtM1giWbkQl0hW5NLSmTkSCa3MCi8FhtXtpKORBCStUTERU2T5b2iOfntEECXeG3Kn2VXX\nGBzzkMCBI2e33XF7fcP17jW77YaiynBOHB7nKfNcFTqvnuez1quu68t0dsZQzj7Yc9/JOS2nKKTD\nZp7nNSDArL0yE33X4WfJGYwhMa9C7127ZZwGrHPc3tzIwTVJEnSWiYD4ZneLyRzH7shf//WvCDGi\njOXj/Wc2VcGXX30PgHfvvyCEwK9+/Us+3X/kkOUoJG1GaU3V1CTiRQTfdT1aq8vPcy7SynPBrE6n\nwwWOOE/ZMSUqJ1FZcQmkCjI/s/hAXdcEv1A3JcfjccV2Bcaoqopp9pfAYRAm0ntPdxrI85xpnOjH\ngY+fvuHjxw88Pwhb3jQbumGmaXbcXr+T99UPhJTT9x1h8fh55vr6GpcLARaOnqurW+Yiw6RI/+J5\n+viRcd7zVXVDCIldozF5ZAolKRNFRGYbrOlYgidFD1EIDJc5SQxfN4+4RGydUVUtZV3LgzfEi99e\n4sImqcXNHE1TrVCIhF/0/cD13Q1125JcQTQWyTQya15mJcFF0YCW4GVtMvy8sH945Pj4wsPXT0yn\nWeqf/cKnrx+wtuB0OrI/nHh5fqRwjrhpef7FZ54//CeywnA49Rhtubq55tgdmH2gbVuOxyMpKZ6f\nn8St07a8e/fFKsEZaZqKupRJLYRAls3cvXmDyzJeDns+P9zz/ov3tM12TVAf8T6QkmaaPMMwApqq\nkoHl5WV/SYoqy5LNZosxihjF5eX9xDDMNI0EbvR9j1v7fbz3LGFhiZolaMl1tTlX17dkWcbxKH71\nh4cHlFK8evWKqqp4eXlcZXuSYVpWFU1VMS+yyjvn1i3KsqkacqtghY1iCMyT3D/F6oTqlxHnrGQQ\nnE7UZUVd1+R5Ljbk/0Yu+2/t0AxpISKgeZFXWFUS3xZM/YlaVby5e82ruy9oipq8EEYanyBPl7gr\n1oiqM3N+tvJ1XXfxp54tYdLaV14sW8B6EUly+tlNsXgpp1rWN9yt2KpKkXkQkWy9tby+vcNZtx5u\n8gEPw8DD4yPv33/Fm7tXUkZvv+TVq9c8PT0xzJ77h88kXbLZbkgxsd/vGaeBh4fPgjkaReYKwHA6\nndgfXyTZPROc5RzY0TTNd6AGuaG/G+R6tn5m1jJ7z9j1qAQYOYjbrCYlzdiPnDpJuznfCCmxlmFJ\nx1CxrjIXC6XWXF1dMa0Ppbws0MawaVv2N0JSkBJN3bDEiePpEaVE8L4sHhY4HY9U1bhiX0qmmWmi\ndBZlSurtDj8e+PXHT2TFDbbaoSyyEptIlVXERRN9pCsjKd2vm4NnXiJFWWKz7BKUa4zh1d0rnJMY\nM6Mcr17dkGc5Smu600BTx7MLlTwX1Ua2BleUVS3/zCrCojDOkDAoVZEQuCAlSbVHF4A4epIzfNg/\n8f/+2/+PD998IKCJfqQuSmY/cBr2fHr6mqou2DQ1db2lbAQuaOoaP0387K//gk/ffObv/Ph/pe8l\niKZpNlxdXVMUBT/7iz9fRd0DTdNye/uat29fs9+/YIzhZb8X4s9avvjiC169fo1fAtoaxmXhl7/8\nFdYYnLPU1Q6tBfcOiyZGzTh2PD4+StRaVWDXPM2UEsfjYb0XDX5OzD6gtSXPhRG/3l1T5jVFVZGX\nBdPipWFg9my312SZoyqrS16rQFzfJg8NQ8fT88PFw+6co2l3XO+uuHr9BaeXPX/585+hSbRNy+Hl\nhbZpycqC4CUYORAxxooJZjkHWK/KGaSl4BwbR0qc1nrj/9rrt3Zo3t8/sGkmRruKzzG0141UQsSG\nXXvDtmkotCUCfpRwglIlZtZCpzVXkRDxa4rJsiwoo4khUq/OlHPIhjFu9UBbskyCMJTSoq1MC2kJ\n4EXCEpcAfrm4hwCqoiTGhDUZuStYQqAbeqq8FDfOSshkmcUVEiwQxgmrNTdXUk5XOccw9Nx/vuf2\nassSPC+Pj8z9RLbKOwCU8gyjIgTNPC8CboeFLJfq3yWIHVBSXixl5ZjnhXx195wTZMqy4unpiaKU\nySMlOB06rBV87qwiyPNMCLAQmfyCKwumcea0P2KMpWkqxphEYO69YHda46yWpKNXd1xvNyxfLKtJ\nQDJGq7IUW+QkkpAQ5b3U2nDqO0IUIXzhMtQKxGtt0NuWvN+RFa/44d/+3zDlTpLZ2walZNKeiUSX\noQqLBzSWmAL9OEiuwBLopxlrxVgQ47zqV8WWmzl5EDlrOa4Gg3zTYLFYZRiGgWzNHd1sr6QzaehZ\nlomca3S5Idll7UDSoC1nhV+CNagEfvQH/zv/6ee/4jQOtE0tU/cyMQ4dJlP0/Yk8y9nubri9ueUc\n5qu1JS8L6sctX35ZUa5OnKquIEV+/eGXQpLmJWFJtM2WLMvoTh1FUXFzcydSo6IQm2nV8vbNe77+\n5gP3j4/c3d7yvbfvOBz2F8hrGAbpVHp3zevXr3l4eOSbbz6SuQ7nrEz722vubl9dwjPOYRq3t6+p\n65qqKlf5kl8HHHNJOPLe03Un3Natw4oEs3x4/MA0DRgDr169pmkaGWJmj06ah8+P2Czj/Zc/4G53\nR9k2GOeot81ls+ymkeADjAPVGqtY6vKSraCNYVomdNBkuRB2LneMU8fz45MMNGnC9/8DbZT/M1+/\n/tUHmjpDZZYyL6jKkqooyLSjqm/RFgkpjp558sR1/XaZ/U6auWiqtDWYFEkhkrmMMs8l629Vult3\nnhYDmdMoDGktcwshMg+C26QkB3BcPOM8SYHbGk+V5zm3t7frwRLYv+zp+452u6GwGeM4UlQlN19+\neak0PtvSxnHk4eFhLbOqMKZmGgY+r/0q4zhSlRLndr7Y4FtJlbgwugvpdXZInH/+cxqMnwO6lYi8\ntt3S9z3eL7jVH332rc+zZBNaZ3nz5i0g/eJCei1opfGTQBhXV7sLC5pXMoV2XUffC9t6PnSLorh8\n3+ccRFSJ0VZY+FamfT/NaGfxi6fdNChk4o+sh6VWGKvJ7RV9deQP/u7/waQMZbtBWYXSGWVRofTA\ndDqt33Mizxv6IfD80l1i82JMKxar6fuB4/GItQLhVGugsjESfgFwGnpcnZM7R54bCu1gncBimFkW\nRVoWMpOhokYKdQORhcXPZKYkGSUh08ikJOk+G/7P/+v/5u2rK37603+HsYbr7Fp0kJmlKmtubm7X\nJPSSw+GF4/F4iUu72l5T1xXGaKbZo5VmGEWQvt/v2bTXK+Qkh1TbtlRlKY4aIh8/9WilKeuKx+dH\nbK7ZXskWMA/xAvecw6oBHh+fmaYB0Lx69YpxnMgykQVuNpsVd5TjQ1Lly4uape+7i5nj7LRLKXE6\nyQR37j4XJ5D0FMUkxpKX/QvHriOzlqauiSHyV3/1V2RZxve/9z22Vxv6sWcYOlh10K+ubjl2B+7v\nH9i/vNDnZ9jKrCYSe7FRyv3rmWfhIEC63vcvjyRlJfvgdzWEeH88Mc2iQSNIjG/b5Hz55gdE84qX\npyd0DNRFBepb50BdVaJnRMI2Fu/JraMtC+k39h5rDFldSTXEPF1shHrtdRbyZLhE5KdVxmNWvLTM\nC7nZMs1ut7vIm25ubnDO8eHrD8zBU9QVZZXTHU7c3N5we3vLw8MDnz59wlnL/f092VoS9e7de4wx\n3N/fr/F0E3lmKcpC+kvSt7UN5ylRGSFhznCEtZaqqhnHkTybmP18CWfV2pDl2XphavHTTtMlmV0c\nPmnFRIUQOHXdhXk/43bLEvh0/0jbtmw3rUxhxz3GODJbgIKizDBWoddE7XntlT7fKMMwrCYCdZF8\nnQ/9LMvwSSo/vPegFJlzPD0+sWlb+To2IyxQb2+ZZoULkWgUS4gok+gmcVAtYSEsC8M4EJWlGxf2\nh46uFwunwDBiebXW8fLygtbuO5mNEa3lgPzVr555/fYNGsU8e2bnycqC3Dlub28pXM43H37Nq1ev\nsFVNyguCtuhkUWnGkljmIyrP0bpcxVmyyQTv+cu/+DPmZWK33RFTZJonbm9uL9iftW69iRXb7U7M\nA9rQHY9kdg3sjoq5H3jqj4yr26wsK3G+5Tmn0/Hi4ImLvDcxRNp2Szf03D/c83R4pMxzkZut3u5z\nXsHNzc3l2pOHsagHzBpLaKylyHOqqryQqPMsB/X5ofndjNdL1cmykGVO+n6MkaSjxfPpc4fWSmSH\nMbHbXTFOE4fjI6fF8/z8QJFJJuayBP7sz/4jP/Q/4u76ltNpz+H5hbKsKeoKZwwWRZ45lEo8PT1y\nf/9A359omoa2bWnblqcnh1KGzWazev6lffLNmx+Q5zKV+rj8F06sb1+/tUMzTp7oEqV2LICfF44v\nPeE24pXnef+AX2bu7u5oqwbjDNoq1BpSEFPA++VCWFT5ObjiW7wyLAvjMBBmKas/J8HM87eHTYzL\nmh5UsiyR56cnttutTK1VQZ6L62IYBu7v7+WA8UK01GVF6XJCLvjfsizs93uO+z3v3r1DAc9Pj/Rj\nj3WaqqrWsFa5AH0MTMcjLpPDuluxRa01TV2vpU8JZw2PDwL03968wmhL22zWFKRpFSHnjOPEp0+f\neX5+pq4ltm0YJo7HDpd7hmGgO57ouo43b94wjxOHNT6r7wf2LzIJhKVj/zwyDSdcVjL7QAhHUIrd\nVmpJhn68HPLnGLGzjEOcHhNdf6IsKspyxNiMdp34UcJi+7Xcarfd8vXXXzMOA+/fv6O2goe5rES7\ngnaT0w8Dv/jFL/nxj/8XdNSXz88vC90wsz88S8p9DGuOPr8RzuL9zPF05Pvf/6GErxQFIUWeXp65\n2u1YYpAwZW0ZhxG9zfnw4QNX2x13r19jrq/45k/+hKrOuaozlNuArlEklrEnxp6suiElK7imAtZl\n/bR/xk8vDHMvkJFWtHrL8bBnHEf+3t/7eyil0Vrx8rJH0v2hH0aWxXM8dvTDns2mpa52GJuhF79i\nc4oQFowRn/iZBBzXg+v29pab3Ya//cVb/uOf/5Rjd2QaF6Zhkv4nH3jz5s3qmCmwVrHf79e+c4GL\nlBLr7bHvsNrwZfkeQDDecg2RXhsGnHMiL8vkIXU4HJimidPpRFmKGaIfB5pGjCfjMKOSyNuGoefN\nmy949+Y14zjwk5/8hIfPz6T1QZc7xy9/8SuOTy8ENRPnyDB5nv/6F9zdvYIgfEc/dMzzxPX1Ne/e\nvUcptfIC2SUrFmRj894zTmInPnvp+R9xBI3jyD/4B/9AXB/zzD/5J/+EP/qjP+Kf/tN/yj//5/+c\nu7s7AP7ZP/tn/ON//I8B+KM/+iP+xb/4Fxhj+OM//mP+0T/6R//Fr711mrKwuCJn6AaMsWzaKyqX\nEyaxsXn/LIxgVYuX1lqWMBMneRKcw3q994zr0yuFQHc8Mq3s+TRNK3Ypk+l5tT8HG1xf3VDkBVlZ\nrFpISTmXJ+S8kkPzWoCmLqvnmW0V3+8J75dLK19elnz6/HmdAIWgenp64v7zPfMc1sNGQhXOhNVZ\noH6OwBI8LefVKwmPuLm5pShyhkH8u0rpdT17YbPdcrXbkWU5N9evKIpa6n/XiLePnz6JBU4rXOb4\nYvvF6sO1F6PAm6YhIgkz83THOApB9Pj0dLF4mtWOejgcLqVa54MzrK2G3yXmmqYlc7LCo8xlXSIo\nxnFgHAdubmTyff/+PX/5Zz8jRiHy8jzj3NEdY2C32eKMY/+yX22PE1M/4OeZcZrZn07s93vJN13r\nD7RWFzIwxsD33nzJZtNeDvTT+tm1bcvt7a0c9uNEkeckIl9//TWvX7+GmIjHE2VVULcbIk6cQHRA\nJg9BJV09KCWw0OWV+PjNB/Yvz0zLjO8n2m1LW1WMQ09d17y8vFDXzSV/IMZA3w9SgUIJaG5vb9bM\nR3kQvLp7cwmdUEq2haIoePv27cXkMIwDc4h87/aGjx++4fF5j19mdu2W7//w9/iBgo8fP7IsC5vN\nhjdv3lw2quPxxDgOa2NnxGWKq2shnmJKxJU/cM5dAmnOao55ni+xh+dfy/NixdQThXXsH17QCsq6\nBqUvyUn/4T/8e1KSMPG62XB995ppUdRVvUICmrE/8vL8hLKJrNjwt7/8PkqLPLDveqyzvH4t70MM\nCevMeg5IWZ84D2UzatsW6/K1PG8hKng5Pv/3H5pFUfCv/tW/oqpEgvL3//7f51//63+NUoo//MM/\n5A//8A9/4/f/9Kc/5V/+y3/JT3/6Uz58+MA//If/kJ/97GcXnOS7rzc/ekvegDGOeUqM0wiqZEgL\n0zwzLwmtLNM4ixxlWSSS30BKatWDWbS2DOPAab9nXDxLiujIhQwBVmY9XjCXb+1b4mm11uGsHFbb\n7Xb1Zce13znhsgzvA09Pn/m93/t9irygH3oOhwNlVnBADq8YE2VZSBJLWBjGkc2mZbvdroeLoqqy\ni9wJIpvNBq0Vx6P4bZumYZ5nPn/+TJ4X5FnB1dUVV1c7jsfjJWjEGFa/uGPsRn59+oaskPqIZQ4c\n/AmXOeZpYrvdrO2AmnHomceJcVoL1Yzl7u7uEq2lV51qDIHD4UCzaTgeO8ZpYleVon2rK6zRssau\nDPrGbSTCbmXxf6P50Gpenp5JUfCsQiv68URbNSyL5/l5L2RNW7N/OdBuRB4jSeAFz4cnUJof/ugH\nfPPNRxLQHY90vYiuHx4+8+HD1+wPB0DjjMVmmbR+rnmikrLTMk0yifXDwDB2fPXVe0CtUWJmfU8M\nQ9dTFDmbdovRBlxGXZfkRUVwBUnFy0SLUszDTFGumZiSvS7/PyW+/8Pv8x/+zf/Dp4dPfPn+e7KS\nVzXvq3KtghBNYoiBzWZLdxpXaCNQ5Bk3t3cUecniPc8vj8QI87yg0KClkgQFxlg+fPhAWdacTife\nvXtHXpR8/eEj33z8wNu3b8iLDIJe8dKM6+sbwiITq9GGxZ+j+ypOxx6FpW4l5tBHCZeeh7VqIsbf\ncKqdpX9nmZ8Et0yrplqMH8fjkVPXX/Jhn08dh8OB3Xa7Sqa2lEWDMiBd6ye2t6/Z7bY8PT5xtd2x\nBENQRqbL6Ng2t1inuX/8mru7W1K6FeXJy4GmbJnDxOl4RGnDZiNe/M2mvUBeZwWKGEQSN9ur//5D\nE6QnmP+/vTONsfQq7/zv3de719a1uKvc7sXddrqbWJiJNCLBMv4QcDKDlAmMDBJBIyHlQyIURXwg\n0XyIDYlQFCJFijSJBJmJYBSNFESACRqwcGRmIKaB2J0Eu6nGtXUtd7/vvpz5cN57bSdgjYPcnrTv\n/5O7qlz3PVW3nnPO8/wXmO0erZb8hj+Ky/SXf/mXvPe978UwDDY3N7nnnnv45je/ydve9rZ/9rWL\nW4tQCtJcIKwCPXLRCw1TMUizDFWzcXQDDUEax0SViqfUpxJISRGaTELyvJhRf1zXkxPP6sQx3bnz\nPJ2djmSPUNpGaYpGHGfs7r9Io9nCUA10XcMw7KpQTXBdj8XFJRYXF+U1MoxI04h6q06Sg6opqJpM\nYQZkVo6qIHQVNA3XsaTyyFBknEWW0Gw0MAz5S0vTHFDodDo4jgz08jyHNMkwNJkfs7e7S6/fl62D\nsqRZ8zF0Dcdz0XSdIs3Jk5SQiKN+j3ASsLqyjOM4LC0tSR/GyYRIFGiGSrPVlAFbtoWmKRwfH7K2\nvibDqLKCNEmhLKXSqlQwVZnWs7KwSFCpjWzdhKLErsxLdEXFNS1UTSWKYylzw0JRwbJ0+qMuYTLB\nUBWKPGdpeZnWJEAzjjE0CJIx/fEQzVpHrVQdUmig0OsOqNV9gjTi5s2bmJrN4fEtgijk75+7zuHh\nPmmWUhY5mqljWtJkNsvLyqZMYzRMWFz0yIocVQgc28Vzahz3jlE1DcPUSdKI0jChOnWXoiArMyxd\nQzdN0iLG0CxIUhRNA8UAU0X3bMpogrAtNLWOIgqEokGZIKIJrfYCt05u4Xk2/d4J0WSCaeqoik6k\nV3+8qo7wXRRF4PsuigppGmNpWjWE0cny2ox/W1SeqVJmbGG7tjwhRhFbd22ioFAIwd7uHqe37iaK\nYxp+YxZp8o//+A84jixUmia9D+qNBoICTVdZXOrMNvJOpyNFDoDnurPe6VQpNhoNXxFNkef5zBRm\nyhmeDmNazSaWbeF5/ks867KkLIvq5qXTaNQpy5JGvY6uWHi6Q211TQ5KhYpheAwnI6I4JAhPKPKc\n5559FkVR2Ni8G89xEWXBsD+k3mphWVL22e+NKMqEXq+H53kcHh4SRBMajQau69BudzBN45/Vq9dU\nNMuy5C1veQs3btzgwx/+MJcuXeIv/uIv+MM//EM+85nP8MADD/DJT36SZrPJ/v7+Kwrk+vo6e3t7\nP/obFwplWmCqKkqpkedQMxyMUpN5OQDVtS+O5S7l1XyKQiEIEuI4qBrOBaKUsjbPdWchTi+3zIdy\nxtecksKnV2tDN9BUDdev0e33MVA5dWoVVZX8LTllVRkMhhwdHRKEkbyOmRpZJk/Bg8EQ3/VRFaSP\npBC4nosqZG9JKnxOZn0VebIcyZ04ilFUBcsyZ30fyRkNKXJBkkykebCi4tebmI6DgiApCkRO5QSl\noZYKlqYjNDi1uMzIkiRkqYgSM+9Cmb8iLcN0VUU3DZI4ZnNrc0Y7qdXrpGmGaTu0SsHaqmzV9AcD\nut2TKsTNJo5iGna98izMZ7u3HATJDawsBGVekFJgmToH+wcMqudKspQkTVjsdKh7HoZpsvPijnxt\nw3wp4EqBLEsZjV2G/Yh+f0KR9tjZf5GbOy8SBmMMS3qT6qaL0JDZ1aWCaWsomo1pGNRrPmE0YTwe\noGoqnuszGA2J0gyBDJBrN5uYpjFjGARV4JiuG/iOx8lxj1auoikCVGlCoqgm6ThCVwuyCXgLDqgG\neTpCIyLJQu4+fZrhZECWFdTqTRm4Z+g4tidpcFUkbxznNOpt0jyVw47RkDwfYJ9InqTvS8ZBXhb4\njoxDcVyXRr1eOfbYjMdjklSuJ8tLTp8+XWWlK2TpVEWncPXqW6Q8UpV2hMdHR+R5Vskk+7iuR6fT\nIc8z9vb2XsroqVo7qqrOONHyZ5bOhoLyNvRKcx0hBPV6g2nW1tRVo16rzXrUpmnNLA+n3OAoTEn6\nJ9i2hW7o5GXE8cGLmK5NnKQcTvZo1OtsbZ0hTiI838ZQocgEuiYQRS75vQg52dehXvfk4amKvuj1\nBogSwnCf/f2dn6xoqqrKd77zHYbDIY888ghPPvkkH/7wh/mt3/otAD72sY/xkY98hD/5kz/5kf//\nlOP4TzE8OMEoFTTboshV0kFIpsa0G4sYrklZOedkVRaP3LUEmipVPZNJIE+WTk32UyydaUjYNJ9G\natDFTCNrWZYMiE9ShsMRWZbRbNSp12vEJzFFWrCxtkKWptiOVUU6NOh2T8gyWbw93yVJUyZhRF6U\nlFlGp9NB1wyCSYCCilcVvna9jqAkiMKZRdeU21YUBWEgaQ9mFXCVxBlBEc122yiJSfOcRqNBrVbD\nsixGozH9fg9d19na2iKKItIkJs4KDFW66+i6hm2Z5IW085q2Kaamq9P/Nj0HTYVGwyeOYwYDOTxo\n3tOSU99CzHTmQggajQaqptLtdqnX/Zn/sWlq2LaHqsqTmm3XsSs3KU1RsEyHuIjJ8pjlxTa94YgX\nX3yRfv+Ek94RC50lXNOVvc4kYjKOcF2/YjokZGQIBUxdIwozjm7tQ5kwDkJEkeN5LqapowCqrmO6\nkhNIKR2vDFNm51BmFEXK0fGR5KaaNmUJSZ4xmYzwaz6OY6GMod8fMBgN6PZ60tg4maCbLkEYkWeH\nMi7athGKwDYddnYPGE4GGKbGVq7QXt1ClBl5FCCyGMs0+Jm3/QxRGGLZLkE0piykiKJm1Wg2m9Sa\ndbpHR7iuQzYaUq+3WT91F25Dtj7GgwFJktDpLKBUzAVT18mKlF6vh2mas+GL63mYrs25s3cz6PUY\nDeR8oFFvUqs1ZZ9fVXGciGAyQjc0VldXGQwGFEXB5uYWw+GwGuzU8Dwfy7bpdruVc5daiRKMqhiF\nM8+H6aFF0+RAT3p0LjAcDmfSXmDm4yl9YOXpWc5Pplf6HNt2KQuI4ohBP8C2LKLxiHrDp9XpoKoq\n7UaDtNoM4lSG6UVBUPVbR+RijPey/KHd3X06nZizZ89y7uw5xpMQXdfZ39+nLAu2tu7+yYrmFI1G\ng5//+Z/nb//2b/nZn/3Z2cc/9KEP8e53vxuAtbU1dnZeqtK7u7usra39yO937W9uIBRVEmkXa9h1\njTITOK6Pm9tkSUoqBGYU4ft16cdYKhiG/KW4nqRpOI5DHMfEYUhncVG60wTR7A9+agRclvKXJF2A\n5IDIceRkuNuTxhMbq6uziVqSxBRlzvGx3OEkoTqu9Oc5WZyBphKnMVm/wDJN8qwEpcSw61iqVQ2I\nspmfp+yzyo2gLEDVYHVthTiSlIt63ZmpHjRNoxCG7HPVfExTFvzxZIzt2CwtLhEEAVE8kXZnjbLz\n7sQAABS1SURBVBq6rkoFi23LgZMQuGHIYNgjSiJsx6LpN/B9D+nKLY2Iy6IAzcR0StIg4PvPP08Y\nRTiOg2NLCWWjVZdOR0qJZRn0ej35eqY9k1aapkK9Jk+XSZRyeHjIxUvnKUWOnlk4VhNF1+h02tx7\nZou8FPT6PQajIZNxwGgSUYiCW91baF0Nrer76rbJcDRmMplI8reuYFpNNNuh1miiaCpZFuPXfFaW\nV1CQPNM0TUiLrIoCKSkKkxLoj4YkYUhZyJz7JAmJwwiv0SAMYrI4xTQMSlRe3NklL0tcQwNVY39v\nn87yAnla4Dg2QihMJmPiOEEoGpPxkCSKuU8rCcMJaZzS9F1M10EANc/BshxMFZIsI8sFmq6Q5zGj\nXopjW9ju1LFqQJJGHP9A+lGORiMcx+HGD27gux71Wo3dg1s4tk1vMsJxfZr1Fo7lUQppuNvvnlDz\nfY4ODyjCEsd1GQdjPNcDkaOoKfVGnfF4VFGBcpIoZtTvM5lMuP7ss+iGhuO61Gr1WR78dFLf7fbI\n85x2u0Wz2azaeQJNk5zkvb09dnd3uX79OisrK6ysrCCEYDAYYFnWLMq3yEtM06Ld8un2jmQsRhCR\neQWqpaHbBn7TZzQaozkOHiqW4Ujp61jGbsdxTDAZg6LSPTzk+LjHoD/E8W2WlpZYXj7F5uYmF+49\nx83tHX5w44eS9O85/MML2/zvb13D8zx5S3kVKOJVhJYnJyfouk6zKdUsjzzyCL/927/NpUuXWFlZ\nAeD3f//3+da3vsWf//mfc/36dd73vvfxzW9+czYIeuGFF/7ZaVNRFK5eWiDVdDQ1RzEVUAWuarG5\ndjdtp0MqMur1Jq1ag1ajKRv0ponnWnIwk6YkaVpZ4kvS6vQUN3ULn8bHyqFEWcUeSFPT6UDF932C\nIKDRaOC40lBYVTR0XZ15WiqKMitmYSgLpygzDMsgy3PCIKh2SkGaTknhrdkpuSikxjsMQ05OTrDM\nqs9IIbOGFANDN0krLf2U/Nvt98mynHa7TSkERSn9ESVkw73daZGmsoFt6Ua1liZJlnHSPal06dK2\nazQaInIZcFZvNKS5bCG1vOPxGKFKXX7veMBoOKbVanJ6c4NTp5akd2LF+5TXyITvf//7tNttZK67\nh2XZGLo0k+73huztHXDu/BatVh2lmp6HYUiSxNTrTbIslSeCKsZY6CaObUu/yLHspcVRTElOWcL+\n3i2iOGJpeRnTMMgpEaWkmUXjCXt7u7TbbU6dOgVIR/lS00mSSMbyxgV5npGkUUWDCTBUg16/S5RE\naKpBGIU4tsvq0jLNepMomtBaaEvKlF9nMOwhKPFcl3q9gedIAxbdMFjfWKXdWqIsBa4rSfR5lpLG\nGVmZS1MZTWYCaZpOXoLjyGKUZtKYOE3SSmUj7fjyXA7EkiSlVqsxGAzY3d3Fc10Wmm3JsjDl4HEw\nHmHbNqurp0jTlBs3trEdm7P3nGEykUyBhYUFoODw8JAkkX4LyyunCIOQZ555RrYiTJ1mo0UYBtx1\n12nCMGU87KNoAsOQUcZxHFNWrTPTNKvY3+rmZBocHR1Tq9XJM8luGQzl9bfRaMiN15ZtIsexGfQl\nXcwwTYosmzn5D4cTlheXeebb/4fzF+4lCkMG/T7Li4uMRgPKEilQETJosD8cyBtRrUGWFZimg2Xb\nLHTaNBsNms0mL9y4wXg0YmNjA1XV6Pd7CKWQ6tdqeOl5Hm99x7//sRr0Vz1pHhwc8IEPfGBWYB57\n7DEeeugh3v/+9/Od73wHRVHY2trij//4jwG4ePEiv/RLv8TFixfRdZ0/+qM/+rHX8zCrMskNDQdF\n2u8LQZ6XaLrK+tK6lGRZNrbl4DkejuUgtIKkSm/UZnSSkigKCQJJT5k1yqveoDTx8BmPh7hujVpN\nXjENw5jZq/m+z2A4pLO4wEmvS6PekNfw0bDK9kkBBde12dvbp9mq4egOjuNWul2ZeOd5Jr1ej/F4\nTKfTQWZJyxPJzZ0D1ldPMRwGlWdnKonDQqm04/JnNXUUMg2DOJb5J8PRCEXVWFpqzXps04KMIsjS\nDMuQOvo8l9ng7XZjRgWR1mAOJ8cn2KZJs9mUlne6zBV3a4LDw0NqtRqnVttYtmQcBMGEOG4xmYTS\nsEQBRZH8vLvvPsPJybGcrGbZjN1QFPIk0em0WF5Z4Zlrf8dbLl+cTaeHwwHD4U021tfRmjWyqi9n\nVEoX21LQDQ/f9xhPSjTVI45TTp9eRVF09nZ3cdpt/FodpRSEcYSSF9y1cReOY+H7Mj42iiKEqqPr\nbcnJFZXbu6oShNJ0OUkzGa5m6Hiey3Ak7cXCQMol1/0NGWan6SRxRMdewLJs/MoVve54LCx2sG0P\nTbeYBAMc10RXBE/9zdO8/d/+G0ChbtewdIPxZDLzZjUrPwRQsA3zJRvCiqeqajrxJGQymWCaJtvb\n22iaxtbmJsF4Qppl9AZ9FpYW2TxzN8PhgJs3b3Jj+wf4nk+r1UJRBMfHJ6BIu8DReET3pMvKygqm\n4XJ0eIJAY2lxgUuXLkkjj/GEIi9ZaXZ4/sY2FBlLCwusb5zG9XxGowFFXhDnOb7vMx6PuXbtGvff\nfz9FUfDF//kN7rv3LCcnJ1y98tOMRgFRlFV/kyVZGpGnCadWVzk6PpJTa0WgqALP9+l1+5imxeLC\nAqPREN+v0T08Yn93j/2jW7Q6i3i1OrW6PxNkLK+t01hYoOZLgUSeFdTrTdI4IYrkoebo6Ajf8xCl\nnMrXfJ+lpSXCKKRW96WjkmnQHwxerSy++knz9YKiKJy9ryG5kqqOqkqChqtrXDh9gbtOn2G9s1pZ\nvKlSgaLJAhmGMt7Td1yEKv0wNU2dWdpPdclBECCKEsd2qNfrDAYDdMvAcWwcx2UwGGCa0nFH9kKl\nEsSy7VkzW0EOogxNq2z0pXFvmmdYtkmr1aIoyuqNJzi1eqq62mez06uCwKoiND7z3/+K//Dv3kme\nQxgG2I6FIgS2ZaNqKqMgRFU1mYUiAEX+ca+srJAXBYYpd2d5QpUFtihkYmVcxZ6qKtXVKauu+Wol\np3yJMzeNDC6zHN+X/bIsTZERvDmmacnTqyJjUGu1Gp5XI8sjhCgwDAsFjShK2d7eZmlpgaLIK1MH\nj6OjExQFao06a6vL/LfPfYFf/U//kaIsqujiHBmRLKe7eSl3evKMJE6lLlhAEAbouoJluoxGEzld\njXMKSoIgYG1tjSAI6HW7IBQsW/a7a7WaNF5OY0oU2XsUkJclAkGRFzJgTjdpt9ugarNJeZ6nFFmG\noRtQpZnGUQIls/eY79dwbJtms0m/35e8zhKai0v0eodEkzGdZptP/Zf/yn/+2EfBdtDSALUsSfMS\nXVEQiiJjjwvpoqQgA/lUVWM4GFCUObppYJjSeUdVVVRFkrJty2Q0HKBouixyg151xS3Icpl1vrq6\nymQ0JkkixkGE63qsrp/iH/7+OUajgPZCh431DTRFI02iio6nMRwNiJIEIVSWV5bZ39shSzLCioJ1\n18YmJSmWaZGlCXlWMAkCbt68OaMf/Y+/+l985Fc/RLfbw3EcVpaXGY7GaJpBv9fF81wGvZ60tdM1\nXN9mOBxQZAWKqlCictztcXrzbmmVWEpHs4V2mx/u7mO7HgiFTqdFs9GWswJdpds9YjTsU+YyXtg0\nDO7a3OL45BgA13E4PDzEsm2yNGV5eZlSCIIwpFZvoKgq29vbWJbBw49+4F920nw9IXR5ygSBKKTf\nZL21xOm1Le5ZOY1bd9Ffpq3WNJ1wPCGvNOhJkhAmEXEczwYl04IZhhF5Lh2MVEPn4OiQJElYtBdJ\n05w0HVZX+YQwnFTZKXLCfOtgf6b5XVhYJIoiojgmz2A0GWNZFkvLy9LZfTJBVZXqelWQphlHRyc0\nGvVZM9x2HZI4ks5BRUkUpViWJ/O8JxGqgDTJqDVquK6DYTtyQxCCsnwp3waUma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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fda517da210>"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Time to classify. The default is to actually do 10 predictions, cropping the center and corners of the image as well as their mirrored versions, and average over the predictions:"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "prediction = net.predict([input_image])  # predict takes any number of images, and formats them for the Caffe net automatically\n",
-      "print 'prediction shape:', prediction[0].shape\n",
-      "plt.plot(prediction[0])\n",
-      "print 'predicted class:', prediction[0].argmax()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "prediction shape: (1000,)\n",
-        "predicted class: 281\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAG2ZJREFUeJzt3X9w02WCx/FPnOaOG1xRKmJJulNoCgnQ1q4pDMsyU1dK\nB06ytDo7XRn0dnvawUF393bXvX92FrxZseM4t2Jv5rqcv3VL//DGuh7magczQBVyCgyO9UfLtWcI\n1mWBrvxQS+Nzf9TGJIX0BykBnvdrJtN8v9/n+ebJY/L95Hm+3y86jDFGAABrXZXtBgAAsosgAADL\nEQQAYDmCAAAsRxAAgOUIAgCw3KhBEAwG5fV6VVRUpIaGhhHbW1tbVVpaqrKyMt18883asWNHfFtB\nQYFKSkpUVlamRYsWZbblAICMcKS7jyAWi2nevHlqb2+Xy+VSeXm5mpub5fP54mVOnz6tqVOnSpLe\nffddVVdXq7u7W5I0e/ZsvfPOO5o+ffokvw0AwESlHRGEw2F5PB4VFBTI6XSqtrZWra2tSWWGQ0CS\nTp06peuvvz5pO/erAcClLW0QRKNR5efnx5fdbrei0eiIci+//LJ8Pp9WrlypLVu2xNc7HA4tX75c\nfr9fW7duzWCzAQCZkpNuo8PhGNNO1qxZozVr1mjXrl1at26dPvzwQ0lSR0eH8vLydPToUVVWVsrr\n9WrZsmUX3moAQMakDQKXy6VIJBJfjkQicrvd5y2/bNkyDQ4O6tixY8rNzVVeXp4kacaMGaqurlY4\nHB4RBB6PR4cOHbqQ9wAA1iksLIyfj71QaaeG/H6/urq61Nvbq4GBAbW0tCgQCCSVOXToUPw8wL59\n+yRJubm5OnPmjE6ePClp6IRyW1ubiouLR7zGcH0eRr/97W+z3oZL5UFf0Bf0RfpHJn9Apx0R5OTk\nqLGxUVVVVYrFYqqrq5PP51NTU5Mkqb6+Xi+99JKee+45OZ1OXX311dq2bZskqa+vTzU1NZKkwcFB\nrV27VitWrMhYwwEAmZE2CCRp5cqVWrlyZdK6+vr6+PMHH3xQDz744Ih6c+bM0YEDBzLQRADAZOLO\n4ktIRUVFtptwyaAvvkFffIO+mBxpbyi7KA1wOJTlJgDAZSeTx05GBABgOYIAACxHEACA5QgCALAc\nQQAAliMIAMByBAEAWI4gAADLEQQAYDmCAAAsRxAAgOUIAgCwHEEAAJYjCADAcgQBAFiOIAAAyxEE\nAGA5ggAALEcQAIDlCAIL7dwpTZmS7VYAuFQQBBb6n/+Rvvwy260AcKkYNQiCwaC8Xq+KiorU0NAw\nYntra6tKS0tVVlamm2++WTt27BhzXWSHw5HtFgC4lDiMMeZ8G2OxmObNm6f29na5XC6Vl5erublZ\nPp8vXub06dOaOnWqJOndd99VdXW1uru7x1RXkhwOh9I0AZPgX/9V+qd/kuh24PKVyWNn2hFBOByW\nx+NRQUGBnE6namtr1dramlRmOAQk6dSpU7r++uvHXBfZwYgAQKK0QRCNRpWfnx9fdrvdikajI8q9\n/PLL8vl8WrlypbZs2TKuurj4CAIAiXLSbXSM8YixZs0arVmzRrt27dK6dev0wQcfjKsRGzdujD+v\nqKhQRUXFuOoDwJUuFAopFApNyr7TBoHL5VIkEokvRyIRud3u85ZftmyZBgcHdfz4cbnd7jHXTQwC\nTD5GBMDlJ/VH8qZNmzK277RTQ36/X11dXert7dXAwIBaWloUCASSyhw6dCh+wmLfvn2SpNzc3DHV\nRXYQBAASpR0R5OTkqLGxUVVVVYrFYqqrq5PP51NTU5Mkqb6+Xi+99JKee+45OZ1OXX311dq2bVva\nusg+ggBAorSXj16UBnD56EXX2Cjdfz+XjwKXs4t2+SiuTIwIACQiCCxEEABIRBBYiCAAkIggsBBB\nACARQWAhggBAIoLAQgQBgEQEAQBYjiCwECMCAIkIAgsRBAASEQQWIggAJCIILEQQAEhEEACA5QgC\nCzEiAJCIILAQQQAgEUFgIYIAQCKCAAAsRxBYiBEBgEQEgYUIAgCJCAILEQQAEhEEFiIIACQiCADA\ncgSBhRgRAEhEEFiIIACQaNQgCAaD8nq9KioqUkNDw4jtL774okpLS1VSUqKlS5fq4MGD8W0FBQUq\nKSlRWVmZFi1alNmWY8IIAgCJctJtjMVi2rBhg9rb2+VyuVReXq5AICCfzxcvM2fOHO3cuVPTpk1T\nMBjUvffeqz179kiSHA6HQqGQpk+fPrnvAgAwYWlHBOFwWB6PRwUFBXI6naqtrVVra2tSmSVLlmja\ntGmSpMWLF+vw4cNJ240xGW4yLtRVTAgCSJD2kBCNRpWfnx9fdrvdikaj5y3/5JNPatWqVfFlh8Oh\n5cuXy+/3a+vWrRloLjKBqSEAidJODTnGccR444039NRTT6mjoyO+rqOjQ3l5eTp69KgqKyvl9Xq1\nbNmyEXU3btwYf15RUaGKiooxvy4A2CAUCikUCk3KvtMGgcvlUiQSiS9HIhG53e4R5Q4ePKh77rlH\nwWBQ1113XXx9Xl6eJGnGjBmqrq5WOBweNQgw+RgRAJef1B/JmzZtyti+004N+f1+dXV1qbe3VwMD\nA2ppaVEgEEgq8/HHH6umpkYvvPCCPB5PfP2ZM2d08uRJSdLp06fV1tam4uLijDUcE0cQAEiUdkSQ\nk5OjxsZGVVVVKRaLqa6uTj6fT01NTZKk+vp6PfTQQzpx4oTWr18vSXI6nQqHw+rr61NNTY0kaXBw\nUGvXrtWKFSsm+e1gLAgCAIkcJsuX9TgcDq4susj+8z+l22+X6Hbg8pXJYycXElqIEQGARASBhQgC\nAIkIAgsRBAASEQQWIggAJCIILMbJYgASQWCl4QAgCABIBIHVCAIAEkFgpeEA+Oqr7LYDwKWBILAY\nIwIAEkFgNYIAgEQQWImTxQASEQQW4xwBAIkgsBIjAgCJCAKLEQQAJILASowIACQiCCzGOQIAEkFg\nJUYEABIRBBYjCABIBIHVCAIAEkFgJf6tIQCJCAKLMSIAIBEEVuJkMYBEBIHFCAIA0hiCIBgMyuv1\nqqioSA0NDSO2v/jiiyotLVVJSYmWLl2qgwcPjrkusoNzBAASpQ2CWCymDRs2KBgMqrOzU83NzXr/\n/feTysyZM0c7d+7UwYMH9Zvf/Eb33nvvmOsiu/73f7PdAgCXgrRBEA6H5fF4VFBQIKfTqdraWrW2\ntiaVWbJkiaZNmyZJWrx4sQ4fPjzmusiO4RHB974n7duX3bYAyL60QRCNRpWfnx9fdrvdikaj5y3/\n5JNPatWqVROqi+z4/PNstwBAtuWk2+hwOMa8ozfeeENPPfWUOjo6xl1348aN8ecVFRWqqKgYc10A\nsEEoFFIoFJqUfacNApfLpUgkEl+ORCJyu90jyh08eFD33HOPgsGgrrvuunHVlZKDAJOPq4WAy0/q\nj+RNmzZlbN9pp4b8fr+6urrU29urgYEBtbS0KBAIJJX5+OOPVVNToxdeeEEej2dcdQEA2Zd2RJCT\nk6PGxkZVVVUpFouprq5OPp9PTU1NkqT6+no99NBDOnHihNavXy9JcjqdCofD562L7GNEACCRw5js\nHhYcDoey3ATr/PGP0tq1Q89375aWLs1uewCMXyaPndxZbCFyF0AiggAALEcQAIDlCAILMTUEIBFB\nAACWIwgsxIgAQCKCAAAsRxBYiBEBgEQEAQBYjiCwECMCAIkIAgCwHEEAAJYjCCzE1BCARAQBAFiO\nILAQIwIAiQgCALAcQWAhRgQAEhEEAGA5ggAALEcQWIipIQCJCAIAsBxBYCFGBAASEQQAYLlRgyAY\nDMrr9aqoqEgNDQ0jtn/wwQdasmSJpkyZosceeyxpW0FBgUpKSlRWVqZFixZlrtW4IIwIACTKSbcx\nFotpw4YNam9vl8vlUnl5uQKBgHw+X7xMbm6unnjiCb388ssj6jscDoVCIU2fPj3zLQcAZETaEUE4\nHJbH41FBQYGcTqdqa2vV2tqaVGbGjBny+/1yOp3n3Ifh5+clh/8kABKlDYJoNKr8/Pz4stvtVjQa\nHfPOHQ6Hli9fLr/fr61bt068lQCASZN2asjhcFzQzjs6OpSXl6ejR4+qsrJSXq9Xy5YtG1Fu48aN\n8ecVFRWqqKi4oNcFgCtNKBRSKBSalH2nDQKXy6VIJBJfjkQicrvdY955Xl6epKHpo+rqaoXD4VGD\nAJOPqSHg8pP6I3nTpk0Z23faqSG/36+uri719vZqYGBALS0tCgQC5yybei7gzJkzOnnypCTp9OnT\namtrU3FxcYaaDQDIlLQjgpycHDU2NqqqqkqxWEx1dXXy+XxqamqSJNXX16uvr0/l5eX67LPPdNVV\nV+nxxx9XZ2en/vznP6umpkaSNDg4qLVr12rFihWT/44wKkYEABI5TJYv63E4HFxZdJH9+79L69cP\nPd+9W1q6NLvtATB+mTx2cmexhchdAIkIAgCwHEEAAJYjCCzE1BCARAQBAFiOILAQIwIAiQgCyxEK\nAAgCCyUe/AkCAAQBAFiOILAQIwIAiQgCyxEEAAgCALAcQWAhpoYAJCIILEcQACAILMTBH0AigsBy\nhAIAgsBCnCMAkIggAADLEQSWY0QAgCCwEFNDABIRBABgOYLAQowIACQiCCxHEAAYNQiCwaC8Xq+K\niorU0NAwYvsHH3ygJUuWaMqUKXrsscfGVRcX33/8h/SnP2W7FQAuJWmDIBaLacOGDQoGg+rs7FRz\nc7Pef//9pDK5ubl64okn9Mtf/nLcdXHxvfuu9OGH3ywzIgCQNgjC4bA8Ho8KCgrkdDpVW1ur1tbW\npDIzZsyQ3++X0+kcd11cfMZIsVjyMgC7pQ2CaDSq/Pz8+LLb7VY0Gh3Tji+kLibPV18lBw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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fda20473950>"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Classifying ImageNet: the instant Caffe way\n",
+    "===========================================\n",
+    "\n",
+    "Caffe has a Python interface, pycaffe, with a `caffe.Net` interface for models. There are both Python and MATLAB interfaces. While this example uses the off-the-shelf Python `caffe.Classifier` interface there is also a MATLAB example at `matlab/caffe/matcaffe_demo.m`.\n",
+    "\n",
+    "Before we begin, you must compile Caffe. You should add the Caffe module to your `PYTHONPATH` although this example includes it automatically. If you haven't yet done so, please refer to the [installation instructions](http://caffe.berkeleyvision.org/installation.html). This example uses our pre-trained CaffeNet model, an ILSVRC12 image classifier. You can download it by running `./scripts/download_model_binary.py models/bvlc_reference_caffenet` or let the first step of this example download it for you.\n",
+    "\n",
+    "Ready? Let's start."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe\n",
+    "\n",
+    "# Set the right path to your model definition file, pretrained model weights,\n",
+    "# and the image you would like to classify.\n",
+    "MODEL_FILE = '../models/bvlc_reference_caffenet/deploy.prototxt'\n",
+    "PRETRAINED = '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'\n",
+    "IMAGE_FILE = 'images/cat.jpg'\n",
+    "\n",
+    "import os\n",
+    "if not os.path.isfile(PRETRAINED):\n",
+    "    print(\"Downloading pre-trained CaffeNet model...\")\n",
+    "    !../scripts/download_model_binary.py ../models/bvlc_reference_caffenet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Loading a network is easy. `caffe.Classifier` takes care of everything. Note the arguments for configuring input preprocessing: mean subtraction switched on by giving a mean array, input channel swapping takes care of mapping RGB into the reference ImageNet model's BGR order, and raw scaling multiplies the feature scale from the input [0,1] to the ImageNet model's [0,255].\n",
+    "\n",
+    "We will set the phase to test since we are doing testing, and will first use CPU for the computation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "caffe.set_mode_cpu()\n",
+    "net = caffe.Classifier(MODEL_FILE, PRETRAINED,\n",
+    "                       mean=np.load(caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1),\n",
+    "                       channel_swap=(2,1,0),\n",
+    "                       raw_scale=255,\n",
+    "                       image_dims=(256, 256))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's take a look at our example image with Caffe's image loading helper."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7fda204c0e10>"
+      ]
+     },
+     "execution_count": 3,
      "metadata": {},
-     "source": [
-      "You can see that the prediction is 1000-dimensional, and is pretty sparse.\n",
-      "\n",
-      "The predicted class 281 is \"Tabby cat.\" Our pretrained model uses the synset ID ordering of the classes, as listed in `../data/ilsvrc12/synset_words.txt` if you fetch the auxiliary imagenet data by `../data/ilsvrc12/get_ilsvrc_aux.sh`. If you look at the top indices that maximize the prediction score, they are cats, foxes, and other cute mammals. Not unreasonable predictions, right?\n",
-      "\n",
-      "Now let's classify by the center crop alone by turning off oversampling. Note that this makes a single input, although if you inspect the model definition prototxt you'll see the network has a batch size of 10. The python wrapper handles batching and padding for you!"
-     ]
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "prediction = net.predict([input_image], oversample=False)\n",
-      "print 'prediction shape:', prediction[0].shape\n",
-      "plt.plot(prediction[0])\n",
-      "print 'predicted class:', prediction[0].argmax()"
-     ],
-     "language": "python",
+     "data": {
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+       "PvUp4M5fdxzHPPjgg1y5coWLFy/y0Y9+FLjz1z1FURRcvXp1pgZ8s6wbAHEbkee5OHPmjNje3hZp\n",
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+       "lokHH3xQPPXUU2+KdQshxCc/+Unxvve9T7z73e8WQtz57/OX47YWzaefflo88sgjs38/8cQT4okn\n",
+       "nridj/C6Y3t7+xVF8/z58+LWrVtCCFlgzp8/L4QQ4vHHHxcf//jHZ1/3yCOPiG984xu392FfB/zC\n",
+       "L/yC+MpXvvKmWncQBOKBBx4Qzz777Jti3Ts7O+Khhx4SX/3qV8W73vUuIcSb631+W6/ne3t7bGxs\n",
+       "zP79qtZxdwgODw+l+zewvLzM4eEhAPv7+6yvr8++7k74Wdy8eZNr167x4IMPvinWXZYlV65cYXl5\n",
+       "edaieDOs+9d//df5vd/7vVeYi78Z1j3FbS2aP06H/mbBy+OAf9zn/7ViMpnwnve8hz/4gz+gVqu9\n",
+       "4nN36rqntom7u7t8/etf52tf+9orPn8nrvsLX/gCS0tLXL169cfKDO/Edb8ct7Vo/lPruJ2dnVfs\n",
+       "QncilpeXuXXrFiANUKZqg9dio/f/O7Is4z3veQ+PPfYYv/iLvwi8OdY9xdQ28Zlnnrnj1/3000/z\n",
+       "+c9/nq2tLd773vfy1a9+lccee+yOX/fLcVuL5gMPPMDzzz8/E/d/7nOf49FHH72dj3Db8eijj/Lp\n",
+       "T38agE9/+tOzovLoo4/y2c9+ljSVphfPP/88b33rW9/IR/0XQQjBr/zKr3Dx4kV+7dd+bfbxO33d\n",
+       "JycnswlxFEV85Stf4erVq3f8uh9//HF2dnbY3t7ms5/9LO94xzv4sz/7szt+3a/A7W6ifvGLXxTn\n",
+       "zp0TZ86cEY8//vjtfvnXFb/8y78sTp06JQzDEOvr6+JP//RPRbfbFQ899JA4e/asePjhh0W/3599\n",
+       "/e/8zu+IM2fOiPPnz4svf/nLb+CT/8vx1FNPCUVRxOXLl8WVK1fElStXxJe+9KU7ft3f+973xNWr\n",
+       "V8Xly5fF/fffL373d39XCCHu+HW/HE8++eRsev5mWvdcRjnHHHPM8RowVwTNMcccc7wGzIvmHHPM\n",
+       "McdrwLxozjHHHHO8BsyL5hxzzDHHa8C8aM4xxxxzvAbMi+Ycc8wxx2vAvGjOMcccc7wGzIvmHHPM\n",
+       "McdrwP8F7/c7xJLyUh8AAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fda517da210>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "prediction shape: (1000,)\n",
-        "predicted class: 281\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fda1abd8e10>"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "input_image = caffe.io.load_image(IMAGE_FILE)\n",
+    "plt.imshow(input_image)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Time to classify. The default is to actually do 10 predictions, cropping the center and corners of the image as well as their mirrored versions, and average over the predictions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "\n",
-      "\n",
-      "Now, why don't we see how long it takes to perform the classification end to end? This result is run from an Intel i5 CPU, so you may observe some performance differences."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "prediction shape: (1000,)\n",
+      "predicted class: 281\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "%timeit net.predict([input_image])"
-     ],
-     "language": "python",
+     "data": {
+      "image/png": [
+       "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n",
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+       "B06ytDo7XRn0dnvawUF393bXvX92FrxZseM4t2Jv5rqcv3VL//DGuh7magczQBVyCgyO9UfLtWcI\n",
+       "1mWBrvxQS+Nzf9TGJIX0BykBnvdrJtN8v9/n+ebJY/L95Hm+3y86jDFGAABrXZXtBgAAsosgAADL\n",
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fda20473950>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 355 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prediction = net.predict([input_image])  # predict takes any number of images, and formats them for the Caffe net automatically\n",
+    "print 'prediction shape:', prediction[0].shape\n",
+    "plt.plot(prediction[0])\n",
+    "print 'predicted class:', prediction[0].argmax()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can see that the prediction is 1000-dimensional, and is pretty sparse.\n",
+    "\n",
+    "The predicted class 281 is \"Tabby cat.\" Our pretrained model uses the synset ID ordering of the classes, as listed in `../data/ilsvrc12/synset_words.txt` if you fetch the auxiliary imagenet data by `../data/ilsvrc12/get_ilsvrc_aux.sh`. If you look at the top indices that maximize the prediction score, they are cats, foxes, and other cute mammals. Not unreasonable predictions, right?\n",
+    "\n",
+    "Now let's classify by the center crop alone by turning off oversampling. Note that this makes a single input, although if you inspect the model definition prototxt you'll see the network has a batch size of 10. The python wrapper handles batching and padding for you!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "It may look a little slow, but note that time is spent on cropping, python interfacing, and running 10 images. For performance, if you really want to make prediction fast, you can optionally code in C++ and pipeline operations better. For experimenting and prototyping the current speed is fine.\n",
-      "\n",
-      "Let's time classifying a single image with input preprocessed:"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "prediction shape: (1000,)\n",
+      "predicted class: 281\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Resize the image to the standard (256, 256) and oversample net input sized crops.\n",
-      "input_oversampled = caffe.io.oversample([caffe.io.resize_image(input_image, net.image_dims)], net.crop_dims)\n",
-      "# 'data' is the input blob name in the model definition, so we preprocess for that input.\n",
-      "caffe_input = np.asarray([net.transformer.preprocess('data', in_) for in_ in input_oversampled])\n",
-      "# forward() takes keyword args for the input blobs with preprocessed input arrays.\n",
-      "%timeit net.forward(data=caffe_input)"
-     ],
-     "language": "python",
+     "data": {
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+       "Dz/8MN5++20p+2LRokXIycnB559/DgDo6OjAypUrsWHDBun6wm63o6urC19//TWEEOjo6MCKFSuk\n",
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+       "8fl8sauGZO2LTz75RDidTpGfny8qKyvF0NCQtH3R0NAgVqxYIVatWiWefvppEQ6HpemL6upqkZ2d\n",
+       "LYxGozCbzWLv3r3T2vaPPvpIrFq1SuTm5ornnnsuoffmDWVERJLjf1VJRCQ5BgERkeQYBEREkmMQ\n",
+       "EBFJjkFARCQ5BgERkeQYBEREkmMQEBFJ7v8B+P2XH1cBu2AAAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fda1abd8e10>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 210 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prediction = net.predict([input_image], oversample=False)\n",
+    "print 'prediction shape:', prediction[0].shape\n",
+    "plt.plot(prediction[0])\n",
+    "print 'predicted class:', prediction[0].argmax()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
+    "Now, why don't we see how long it takes to perform the classification end to end? This result is run from an Intel i5 CPU, so you may observe some performance differences."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "OK, so how about GPU? it is actually pretty easy:"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 loops, best of 3: 355 ms per loop\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "caffe.set_mode_gpu()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 8
-    },
+    }
+   ],
+   "source": [
+    "%timeit net.predict([input_image])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It may look a little slow, but note that time is spent on cropping, python interfacing, and running 10 images. For performance, if you really want to make prediction fast, you can optionally code in C++ and pipeline operations better. For experimenting and prototyping the current speed is fine.\n",
+    "\n",
+    "Let's time classifying a single image with input preprocessed:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Voila! Now we are in GPU mode. Let's see if the code gives the same result:"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 loops, best of 3: 210 ms per loop\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "prediction = net.predict([input_image])\n",
-      "print 'prediction shape:', prediction[0].shape\n",
-      "plt.plot(prediction[0])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "prediction shape: (1000,)\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 9,
-       "text": [
-        "[<matplotlib.lines.Line2D at 0x7fda1ac309d0>]"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fda1ab53650>"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
+    }
+   ],
+   "source": [
+    "# Resize the image to the standard (256, 256) and oversample net input sized crops.\n",
+    "input_oversampled = caffe.io.oversample([caffe.io.resize_image(input_image, net.image_dims)], net.crop_dims)\n",
+    "# 'data' is the input blob name in the model definition, so we preprocess for that input.\n",
+    "caffe_input = np.asarray([net.transformer.preprocess('data', in_) for in_ in input_oversampled])\n",
+    "# forward() takes keyword args for the input blobs with preprocessed input arrays.\n",
+    "%timeit net.forward(data=caffe_input)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OK, so how about GPU? it is actually pretty easy:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "caffe.set_mode_gpu()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Voila! Now we are in GPU mode. Let's see if the code gives the same result:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Good, everything is the same. And how about time consumption? The following benchmark is obtained on the same machine with a GTX 770 GPU:"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "prediction shape: (1000,)\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Full pipeline timing.\n",
-      "%timeit net.predict([input_image])"
-     ],
-     "language": "python",
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7fda1ac309d0>]"
+      ]
+     },
+     "execution_count": 9,
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10 loops, best of 3: 174 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 10
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Forward pass timing.\n",
-      "%timeit net.forward(data=caffe_input)"
-     ],
-     "language": "python",
+     "data": {
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+       "FIpfNWRrXxw4cMD4/X5TUlJiqqurTX9/v7V90dDQYObNm2cWLFhg7rzzTjMwMGBNX9TW1pq8vDzj\n",
+       "dDqN2+02Tz755ITe+1tvvWUWLFhgCgsLzX333Tem1+aGMgCwHP+rSgCwHEEAAJYjCADAcgQBAFiO\n",
+       "IAAAyxEEAGA5ggAALEcQAIDl/h+B3FfVQOwSzQAAAABJRU5ErkJggg==\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fda1ab53650>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10 loops, best of 3: 34.2 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 11
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prediction = net.predict([input_image])\n",
+    "print 'prediction shape:', prediction[0].shape\n",
+    "plt.plot(prediction[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Good, everything is the same. And how about time consumption? The following benchmark is obtained on the same machine with a GTX 770 GPU:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Pretty fast right? Not as fast as you expected? Indeed, in this python demo you are seeing only 4 times speedup. But remember - the GPU code is actually very fast, and the data loading, transformation and interfacing actually start to take **more** time than the actual conv. net computation itself!\n",
-      "\n",
-      "To fully utilize the power of GPUs, you really want to:\n",
-      "\n",
-      "* Use larger batches, and minimize python call and data transfer overheads.\n",
-      "* Pipeline data load operations, like using a subprocess.\n",
-      "* Code in C++. A little inconvenient, but maybe worth it if your dataset is really, really large."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 loops, best of 3: 174 ms per loop\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# Full pipeline timing.\n",
+    "%timeit net.predict([input_image])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Parting Words\n",
-      "-------------\n",
-      "\n",
-      "So this is python! We hope the interface is easy enough for one to use. The python wrapper is interfaced with boost::python, and source code can be found at `python/caffe` with the main interface in `pycaffe.py` and the classification wrapper in `classifier.py`. If you have customizations to make, start there! Do let us know if you make improvements by sending a pull request!"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 loops, best of 3: 34.2 ms per loop\n"
      ]
     }
    ],
-   "metadata": {}
+   "source": [
+    "# Forward pass timing.\n",
+    "%timeit net.forward(data=caffe_input)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pretty fast right? Not as fast as you expected? Indeed, in this python demo you are seeing only 4 times speedup. But remember - the GPU code is actually very fast, and the data loading, transformation and interfacing actually start to take **more** time than the actual conv. net computation itself!\n",
+    "\n",
+    "To fully utilize the power of GPUs, you really want to:\n",
+    "\n",
+    "* Use larger batches, and minimize python call and data transfer overheads.\n",
+    "* Pipeline data load operations, like using a subprocess.\n",
+    "* Code in C++. A little inconvenient, but maybe worth it if your dataset is really, really large."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Parting Words\n",
+    "-------------\n",
+    "\n",
+    "So this is python! We hope the interface is easy enough for one to use. The python wrapper is interfaced with boost::python, and source code can be found at `python/caffe` with the main interface in `pycaffe.py` and the classification wrapper in `classifier.py`. If you have customizations to make, start there! Do let us know if you make improvements by sending a pull request!"
+   ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
+  "example_name": "ImageNet classification",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 1
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/examples/cpp_classification/classification.cpp b/examples/cpp_classification/classification.cpp
new file mode 100644 (file)
index 0000000..1c6371e
--- /dev/null
@@ -0,0 +1,255 @@
+#include <caffe/caffe.hpp>
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <iosfwd>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+using namespace caffe;  // NOLINT(build/namespaces)
+using std::string;
+
+/* Pair (label, confidence) representing a prediction. */
+typedef std::pair<string, float> Prediction;
+
+class Classifier {
+ public:
+  Classifier(const string& model_file,
+             const string& trained_file,
+             const string& mean_file,
+             const string& label_file);
+
+  std::vector<Prediction> Classify(const cv::Mat& img, int N = 5);
+
+ private:
+  void SetMean(const string& mean_file);
+
+  std::vector<float> Predict(const cv::Mat& img);
+
+  void WrapInputLayer(std::vector<cv::Mat>* input_channels);
+
+  void Preprocess(const cv::Mat& img,
+                  std::vector<cv::Mat>* input_channels);
+
+ private:
+  shared_ptr<Net<float> > net_;
+  cv::Size input_geometry_;
+  int num_channels_;
+  cv::Mat mean_;
+  std::vector<string> labels_;
+};
+
+Classifier::Classifier(const string& model_file,
+                       const string& trained_file,
+                       const string& mean_file,
+                       const string& label_file) {
+#ifdef CPU_ONLY
+  Caffe::set_mode(Caffe::CPU);
+#else
+  Caffe::set_mode(Caffe::GPU);
+#endif
+
+  /* Load the network. */
+  net_.reset(new Net<float>(model_file, TEST));
+  net_->CopyTrainedLayersFrom(trained_file);
+
+  CHECK_EQ(net_->num_inputs(), 1) << "Network should have exactly one input.";
+  CHECK_EQ(net_->num_outputs(), 1) << "Network should have exactly one output.";
+
+  Blob<float>* input_layer = net_->input_blobs()[0];
+  num_channels_ = input_layer->channels();
+  CHECK(num_channels_ == 3 || num_channels_ == 1)
+    << "Input layer should have 1 or 3 channels.";
+  input_geometry_ = cv::Size(input_layer->width(), input_layer->height());
+
+  /* Load the binaryproto mean file. */
+  SetMean(mean_file);
+
+  /* Load labels. */
+  std::ifstream labels(label_file.c_str());
+  CHECK(labels) << "Unable to open labels file " << label_file;
+  string line;
+  while (std::getline(labels, line))
+    labels_.push_back(string(line));
+
+  Blob<float>* output_layer = net_->output_blobs()[0];
+  CHECK_EQ(labels_.size(), output_layer->channels())
+    << "Number of labels is different from the output layer dimension.";
+}
+
+static bool PairCompare(const std::pair<float, int>& lhs,
+                        const std::pair<float, int>& rhs) {
+  return lhs.first > rhs.first;
+}
+
+/* Return the indices of the top N values of vector v. */
+static std::vector<int> Argmax(const std::vector<float>& v, int N) {
+  std::vector<std::pair<float, int> > pairs;
+  for (size_t i = 0; i < v.size(); ++i)
+    pairs.push_back(std::make_pair(v[i], i));
+  std::partial_sort(pairs.begin(), pairs.begin() + N, pairs.end(), PairCompare);
+
+  std::vector<int> result;
+  for (int i = 0; i < N; ++i)
+    result.push_back(pairs[i].second);
+  return result;
+}
+
+/* Return the top N predictions. */
+std::vector<Prediction> Classifier::Classify(const cv::Mat& img, int N) {
+  std::vector<float> output = Predict(img);
+
+  std::vector<int> maxN = Argmax(output, N);
+  std::vector<Prediction> predictions;
+  for (int i = 0; i < N; ++i) {
+    int idx = maxN[i];
+    predictions.push_back(std::make_pair(labels_[idx], output[idx]));
+  }
+
+  return predictions;
+}
+
+/* Load the mean file in binaryproto format. */
+void Classifier::SetMean(const string& mean_file) {
+  BlobProto blob_proto;
+  ReadProtoFromBinaryFileOrDie(mean_file.c_str(), &blob_proto);
+
+  /* Convert from BlobProto to Blob<float> */
+  Blob<float> mean_blob;
+  mean_blob.FromProto(blob_proto);
+  CHECK_EQ(mean_blob.channels(), num_channels_)
+    << "Number of channels of mean file doesn't match input layer.";
+
+  /* The format of the mean file is planar 32-bit float BGR or grayscale. */
+  std::vector<cv::Mat> channels;
+  float* data = mean_blob.mutable_cpu_data();
+  for (int i = 0; i < num_channels_; ++i) {
+    /* Extract an individual channel. */
+    cv::Mat channel(mean_blob.height(), mean_blob.width(), CV_32FC1, data);
+    channels.push_back(channel);
+    data += mean_blob.height() * mean_blob.width();
+  }
+
+  /* Merge the separate channels into a single image. */
+  cv::Mat mean;
+  cv::merge(channels, mean);
+
+  /* Compute the global mean pixel value and create a mean image
+   * filled with this value. */
+  cv::Scalar channel_mean = cv::mean(mean);
+  mean_ = cv::Mat(input_geometry_, mean.type(), channel_mean);
+}
+
+std::vector<float> Classifier::Predict(const cv::Mat& img) {
+  Blob<float>* input_layer = net_->input_blobs()[0];
+  input_layer->Reshape(1, num_channels_,
+                       input_geometry_.height, input_geometry_.width);
+  /* Forward dimension change to all layers. */
+  net_->Reshape();
+
+  std::vector<cv::Mat> input_channels;
+  WrapInputLayer(&input_channels);
+
+  Preprocess(img, &input_channels);
+
+  net_->ForwardPrefilled();
+
+  /* Copy the output layer to a std::vector */
+  Blob<float>* output_layer = net_->output_blobs()[0];
+  const float* begin = output_layer->cpu_data();
+  const float* end = begin + output_layer->channels();
+  return std::vector<float>(begin, end);
+}
+
+/* Wrap the input layer of the network in separate cv::Mat objects
+ * (one per channel). This way we save one memcpy operation and we
+ * don't need to rely on cudaMemcpy2D. The last preprocessing
+ * operation will write the separate channels directly to the input
+ * layer. */
+void Classifier::WrapInputLayer(std::vector<cv::Mat>* input_channels) {
+  Blob<float>* input_layer = net_->input_blobs()[0];
+
+  int width = input_layer->width();
+  int height = input_layer->height();
+  float* input_data = input_layer->mutable_cpu_data();
+  for (int i = 0; i < input_layer->channels(); ++i) {
+    cv::Mat channel(height, width, CV_32FC1, input_data);
+    input_channels->push_back(channel);
+    input_data += width * height;
+  }
+}
+
+void Classifier::Preprocess(const cv::Mat& img,
+                            std::vector<cv::Mat>* input_channels) {
+  /* Convert the input image to the input image format of the network. */
+  cv::Mat sample;
+  if (img.channels() == 3 && num_channels_ == 1)
+    cv::cvtColor(img, sample, CV_BGR2GRAY);
+  else if (img.channels() == 4 && num_channels_ == 1)
+    cv::cvtColor(img, sample, CV_BGRA2GRAY);
+  else if (img.channels() == 4 && num_channels_ == 3)
+    cv::cvtColor(img, sample, CV_BGRA2BGR);
+  else if (img.channels() == 1 && num_channels_ == 3)
+    cv::cvtColor(img, sample, CV_GRAY2BGR);
+  else
+    sample = img;
+
+  cv::Mat sample_resized;
+  if (sample.size() != input_geometry_)
+    cv::resize(sample, sample_resized, input_geometry_);
+  else
+    sample_resized = sample;
+
+  cv::Mat sample_float;
+  if (num_channels_ == 3)
+    sample_resized.convertTo(sample_float, CV_32FC3);
+  else
+    sample_resized.convertTo(sample_float, CV_32FC1);
+
+  cv::Mat sample_normalized;
+  cv::subtract(sample_float, mean_, sample_normalized);
+
+  /* This operation will write the separate BGR planes directly to the
+   * input layer of the network because it is wrapped by the cv::Mat
+   * objects in input_channels. */
+  cv::split(sample_normalized, *input_channels);
+
+  CHECK(reinterpret_cast<float*>(input_channels->at(0).data)
+        == net_->input_blobs()[0]->cpu_data())
+    << "Input channels are not wrapping the input layer of the network.";
+}
+
+int main(int argc, char** argv) {
+  if (argc != 6) {
+    std::cerr << "Usage: " << argv[0]
+              << " deploy.prototxt network.caffemodel"
+              << " mean.binaryproto labels.txt img.jpg" << std::endl;
+    return 1;
+  }
+
+  ::google::InitGoogleLogging(argv[0]);
+
+  string model_file   = argv[1];
+  string trained_file = argv[2];
+  string mean_file    = argv[3];
+  string label_file   = argv[4];
+  Classifier classifier(model_file, trained_file, mean_file, label_file);
+
+  string file = argv[5];
+
+  std::cout << "---------- Prediction for "
+            << file << " ----------" << std::endl;
+
+  cv::Mat img = cv::imread(file, -1);
+  CHECK(!img.empty()) << "Unable to decode image " << file;
+  std::vector<Prediction> predictions = classifier.Classify(img);
+
+  /* Print the top N predictions. */
+  for (size_t i = 0; i < predictions.size(); ++i) {
+    Prediction p = predictions[i];
+    std::cout << std::fixed << std::setprecision(4) << p.second << " - \""
+              << p.first << "\"" << std::endl;
+  }
+}
diff --git a/examples/cpp_classification/readme.md b/examples/cpp_classification/readme.md
new file mode 100644 (file)
index 0000000..a086db1
--- /dev/null
@@ -0,0 +1,77 @@
+---
+title: CaffeNet C++ Classification example
+description: A simple example performing image classification using the low-level C++ API.
+category: example
+include_in_docs: true
+priority: 10
+---
+
+# Classifying ImageNet: using the C++ API
+
+Caffe, at its core, is written in C++. It is possible to use the C++
+API of Caffe to implement an image classification application similar
+to the Python code presented in one of the Notebook example. To look
+at a more general-purpose example of the Caffe C++ API, you should
+study the source code of the command line tool `caffe` in `tools/caffe.cpp`.
+
+## Presentation
+
+A simple C++ code is proposed in
+`examples/cpp_classification/classification.cpp`. For the sake of
+simplicity, this example does not support oversampling of a single
+sample nor batching of multiple independant samples. This example is
+not trying to reach the maximum possible classification throughput on
+a system, but special care was given to avoid unnecessary
+pessimization while keeping the code readable.
+
+## Compiling
+
+The C++ example is built automatically when compiling Caffe. To
+compile Caffe you should follow the documented instructions. The
+classification example will be built as `examples/classification.bin`
+in your build directory.
+
+## Usage
+
+To use the pre-trained CaffeNet model with the classification example,
+you need to download it from the "Model Zoo" using the following
+script:
+```
+./scripts/download_model_binary.py models/bvlc_reference_caffenet
+```
+The ImageNet labels file (also called the *synset file*) is also
+required in order to map a prediction to the name of the class:
+```
+./data/ilsvrc12/get_ilsvrc_aux.sh.
+```
+Using the files that were downloaded, we can classify the provided cat
+image (`examples/images/cat.jpg`) using this command:
+```
+./build/examples/cpp_classification/classification.bin \
+  models/bvlc_reference_caffenet/deploy.prototxt \
+  models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel \
+  data/ilsvrc12/imagenet_mean.binaryproto \
+  data/ilsvrc12/synset_words.txt \
+  examples/images/cat.jpg
+```
+The output should look like this:
+```
+---------- Prediction for examples/images/cat.jpg ----------
+0.3134 - "n02123045 tabby, tabby cat"
+0.2380 - "n02123159 tiger cat"
+0.1235 - "n02124075 Egyptian cat"
+0.1003 - "n02119022 red fox, Vulpes vulpes"
+0.0715 - "n02127052 lynx, catamount"
+```
+
+## Improving Performance
+
+To further improve performance, you will need to leverage the GPU
+more, here are some guidelines:
+
+* Move the data on the GPU early and perform all preprocessing
+operations there.
+* If you have many images to classify simultaneously, you should use
+batching (independent images are classified in a single forward pass).
+* Use multiple classification threads to ensure the GPU is always fully
+utilized and not waiting for an I/O blocked CPU thread.
index e343fee..e2a981a 100644 (file)
 {
- "metadata": {
-  "description": "Run a pretrained model as a detector in Python.",
-  "example_name": "R-CNN detection",
-  "include_in_docs": true,
-  "priority": 3,
-  "signature": "sha256:5d53dc49c9b6b93c1a2714c99043a763029ec98aebfb44acfa8d9e61781c9499"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "[R-CNN](https://github.com/rbgirshick/rcnn) is a state-of-the-art detector that classifies region proposals by a finetuned Caffe model. For the full details of the R-CNN system and model, refer to its project site and the paper:\n",
-      "\n",
-      "> *Rich feature hierarchies for accurate object detection and semantic segmentation*. Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. CVPR 2014. [Arxiv 2013](http://arxiv.org/abs/1311.2524).\n",
-      "\n",
-      "In this example, we do detection by a pure Caffe edition of the R-CNN model for ImageNet. The R-CNN detector outputs class scores for the 200 detection classes of ILSVRC13. Keep in mind that these are raw one vs. all SVM scores, so they are not probabilistically calibrated or exactly comparable across classes. Note that this off-the-shelf model is simply for convenience, and is not the full R-CNN model.\n",
-      "\n",
-      "Let's run detection on an image of a bicyclist riding a fish bike in the desert (from the ImageNet challenge\u2014no joke).\n",
-      "\n",
-      "First, we'll need region proposals and the Caffe R-CNN ImageNet model:\n",
-      "\n",
-      "- [Selective Search](http://koen.me/research/selectivesearch/) is the region proposer used by R-CNN. The [selective_search_ijcv_with_python](https://github.com/sergeyk/selective_search_ijcv_with_python) Python module takes care of extracting proposals through the selective search MATLAB implementation. To install it, download the module and name its directory `selective_search_ijcv_with_python`, run the demo in MATLAB to compile the necessary functions, then add it to your `PYTHONPATH` for importing. (If you have your own region proposals prepared, or would rather not bother with this step, [detect.py](https://github.com/BVLC/caffe/blob/master/python/detect.py) accepts a list of images and bounding boxes as CSV.)\n",
-      "\n",
-      "-Run `./scripts/download_model_binary.py models/bvlc_reference_rcnn_ilsvrc13` to get the Caffe R-CNN ImageNet model.\n",
-      "\n",
-      "With that done, we'll call the bundled `detect.py` to generate the region proposals and run the network. For an explanation of the arguments, do `./detect.py --help`."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "!mkdir -p _temp\n",
-      "!echo `pwd`/images/fish-bike.jpg > _temp/det_input.txt\n",
-      "!../python/detect.py --crop_mode=selective_search --pretrained_model=../models/bvlc_reference_rcnn_ilsvrc13/bvlc_reference_rcnn_ilsvrc13.caffemodel --model_def=../models/bvlc_reference_rcnn_ilsvrc13/deploy.prototxt --gpu --raw_scale=255 _temp/det_input.txt _temp/det_output.h5"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "WARNING: Logging before InitGoogleLogging() is written to STDERR\r\n",
-        "I0218 20:43:25.383932 2099749632 net.cpp:42] Initializing net from parameters: \r\n",
-        "name: \"R-CNN-ilsvrc13\"\r\n",
-        "input: \"data\"\r\n",
-        "input_dim: 10\r\n",
-        "input_dim: 3\r\n",
-        "input_dim: 227\r\n",
-        "input_dim: 227\r\n",
-        "state {\r\n",
-        "  phase: TEST\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"conv1\"\r\n",
-        "  type: \"Convolution\"\r\n",
-        "  bottom: \"data\"\r\n",
-        "  top: \"conv1\"\r\n",
-        "  convolution_param {\r\n",
-        "    num_output: 96\r\n",
-        "    kernel_size: 11\r\n",
-        "    stride: 4\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu1\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"conv1\"\r\n",
-        "  top: \"conv1\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"pool1\"\r\n",
-        "  type: \"Pooling\"\r\n",
-        "  bottom: \"conv1\"\r\n",
-        "  top: \"pool1\"\r\n",
-        "  pooling_param {\r\n",
-        "    pool: MAX\r\n",
-        "    kernel_size: 3\r\n",
-        "    stride: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"norm1\"\r\n",
-        "  type: \"LRN\"\r\n",
-        "  bottom: \"pool1\"\r\n",
-        "  top: \"norm1\"\r\n",
-        "  lrn_param {\r\n",
-        "    local_size: 5\r\n",
-        "    alpha: 0.0001\r\n",
-        "    beta: 0.75\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"conv2\"\r\n",
-        "  type: \"Convolution\"\r\n",
-        "  bottom: \"norm1\"\r\n",
-        "  top: \"conv2\"\r\n",
-        "  convolution_param {\r\n",
-        "    num_output: 256\r\n",
-        "    pad: 2\r\n",
-        "    kernel_size: 5\r\n",
-        "    group: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r",
-        "\r\n",
-        "  name: \"relu2\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"conv2\"\r\n",
-        "  top: \"conv2\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"pool2\"\r\n",
-        "  type: \"Pooling\"\r\n",
-        "  bottom: \"conv2\"\r\n",
-        "  top: \"pool2\"\r\n",
-        "  pooling_param {\r\n",
-        "    pool: MAX\r\n",
-        "    kernel_size: 3\r\n",
-        "    stride: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"norm2\"\r\n",
-        "  type: \"LRN\"\r\n",
-        "  bottom: \"pool2\"\r\n",
-        "  top: \"norm2\"\r\n",
-        "  lrn_param {\r\n",
-        "    local_size: 5\r\n",
-        "    alpha: 0.0001\r\n",
-        "    beta: 0.75\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"conv3\"\r\n",
-        "  type: \"Convolution\"\r\n",
-        "  bottom: \"norm2\"\r\n",
-        "  top: \"conv3\"\r\n",
-        "  convolution_param {\r\n",
-        "    num_output: 384\r\n",
-        "    pad: 1\r\n",
-        "    kernel_size: 3\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu3\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"conv3\"\r\n",
-        "  top: \"conv3\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"conv4\"\r\n",
-        "  type: \"Convolution\"\r\n",
-        "  bottom: \"conv3\"\r\n",
-        "  top: \"conv4\"\r\n",
-        "  convolution_param {\r\n",
-        "    num_output: 384\r\n",
-        "    pad: 1\r\n",
-        "    kernel_size: 3\r\n",
-        "    group: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu4\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"conv4\"\r\n",
-        "  top: \"conv4\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"conv5\"\r\n",
-        "  type: \"Convolution\"\r\n",
-        "  bottom: \"conv4\"\r\n",
-        "  top: \"conv5\"\r\n",
-        "  convolution_param {\r\n",
-        "    num_output: 256\r\n",
-        "    pad: 1\r\n",
-        "    kernel_size: 3\r\n",
-        "    group: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu5\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"conv5\"\r\n",
-        "  top: \"conv5\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"pool5\"\r\n",
-        "  type: \"Pooling\"\r\n",
-        "  bottom: \"conv5\"\r\n",
-        "  top: \"pool5\"\r\n",
-        "  pooling_param {\r\n",
-        "    pool: MAX\r\n",
-        "    kernel_size: 3\r\n",
-        "    stride: 2\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc6\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"pool5\"\r\n",
-        "  top: \"fc6\"\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 4096\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu6\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"fc6\"\r\n",
-        "  top: \"fc6\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"drop6\"\r\n",
-        "  type: \"Dropout\"\r\n",
-        "  bottom: \"fc6\"\r\n",
-        "  top: \"fc6\"\r\n",
-        "  dropout_param {\r\n",
-        "    dropout_ratio: 0.5\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc7\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"fc6\"\r\n",
-        "  top: \"fc7\"\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 4096\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu7\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"fc7\"\r\n",
-        "  top: \"fc7\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"drop7\"\r\n",
-        "  type: \"Dropout\"\r\n",
-        "  bottom: \"fc7\"\r\n",
-        "  top: \"fc7\"\r\n",
-        "  dropout_param {\r\n",
-        "    dropout_ratio: 0.5\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc-rcnn\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"fc7\"\r\n",
-        "  top: \"fc-rcnn\"\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 200\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "I0218 20:43:25.385720 2099749632 net.cpp:336] Input 0 -> data\r\n",
-        "I0218 20:43:25.385769 2099749632 layer_factory.hpp:74] Creating layer conv1\r\n",
-        "I0218 20:43:25.385783 2099749632 net.cpp:76] Creating Layer conv1\r\n",
-        "I0218 20:43:25.385790 2099749632 net.cpp:372] conv1 <- data\r\n",
-        "I0218 20:43:25.385802 2099749632 net.cpp:334] conv1 -> conv1\r\n",
-        "I0218 20:43:25.385815 2099749632 net.cpp:105] Setting up conv1\r\n",
-        "I0218 20:43:25.386574 2099749632 net.cpp:112] Top shape: 10 96 55 55 (2904000)\r\n",
-        "I0218 20:43:25.386610 2099749632 layer_factory.hpp:74] Creating layer relu1\r\n",
-        "I0218 20:43:25.386625 2099749632 net.cpp:76] Creating Layer relu1\r\n",
-        "I0218 20:43:25.386631 2099749632 net.cpp:372] relu1 <- conv1\r\n",
-        "I0218 20:43:25.386641 2099749632 net.cpp:323] relu1 -> conv1 (in-place)\r\n",
-        "I0218 20:43:25.386649 2099749632 net.cpp:105] Setting up relu1\r\n",
-        "I0218 20:43:25.386656 2099749632 net.cpp:112] Top shape: 10 96 55 55 (2904000)\r\n",
-        "I0218 20:43:25.386663 2099749632 layer_factory.hpp:74] Creating layer pool1\r\n",
-        "I0218 20:43:25.386675 2099749632 net.cpp:76] Creating Layer pool1\r\n",
-        "I0218 20:43:25.386682 2099749632 net.cpp:372] pool1 <- conv1\r\n",
-        "I0218 20:43:25.386690 2099749632 net.cpp:334] pool1 -> pool1\r\n",
-        "I0218 20:43:25.386699 2099749632 net.cpp:105] Setting up pool1\r\n",
-        "I0218 20:43:25.386716 2099749632 net.cpp:112] Top shape: 10 96 27 27 (699840)\r\n",
-        "I0218 20:43:25.386725 2099749632 layer_factory.hpp:74] Creating layer norm1\r\n",
-        "I0218 20:43:25.386736 2099749632 net.cpp:76] Creating Layer norm1\r\n",
-        "I0218 20:43:25.386744 2099749632 net.cpp:372] norm1 <- pool1\r\n",
-        "I0218 20:43:25.386803 2099749632 net.cpp:334] norm1 -> norm1\r\n",
-        "I0218 20:43:25.386819 2099749632 net.cpp:105] Setting up norm1\r\n",
-        "I0218 20:43:25.386832 2099749632 net.cpp:112] Top shape: 10 96 27 27 (699840)\r\n",
-        "I0218 20:43:25.386842 2099749632 layer_factory.hpp:74] Creating layer conv2\r\n",
-        "I0218 20:43:25.386852 2099749632 net.cpp:76] Creating Layer conv2\r\n",
-        "I0218 20:43:25.386865 2099749632 net.cpp:372] conv2 <- norm1\r\n",
-        "I0218 20:43:25.386878 2099749632 net.cpp:334] conv2 -> conv2\r\n",
-        "I0218 20:43:25.386899 2099749632 net.cpp:105] Setting up conv2\r\n",
-        "I0218 20:43:25.387024 2099749632 net.cpp:112] Top shape: 10 256 27 27 (1866240)\r\n",
-        "I0218 20:43:25.387042 2099749632 layer_factory.hpp:74] Creating layer relu2\r\n",
-        "I0218 20:43:25.387050 2099749632 net.cpp:76] Creating Layer relu2\r\n",
-        "I0218 20:43:25.387058 2099749632 net.cpp:372] relu2 <- conv2\r\n",
-        "I0218 20:43:25.387066 2099749632 net.cpp:323] relu2 -> conv2 (in-place)\r\n",
-        "I0218 20:43:25.387075 2099749632 net.cpp:105] Setting up relu2\r\n",
-        "I0218 20:43:25.387081 2099749632 net.cpp:112] Top shape: 10 256 27 27 (1866240)\r\n",
-        "I0218 20:43:25.387089 2099749632 layer_factory.hpp:74] Creating layer pool2\r\n",
-        "I0218 20:43:25.387097 2099749632 net.cpp:76] Creating Layer pool2\r\n",
-        "I0218 20:43:25.387104 2099749632 net.cpp:372] pool2 <- conv2\r\n",
-        "I0218 20:43:25.387112 2099749632 net.cpp:334] pool2 -> pool2\r\n",
-        "I0218 20:43:25.387121 2099749632 net.cpp:105] Setting up pool2\r\n",
-        "I0218 20:43:25.387130 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\r\n",
-        "I0218 20:43:25.387137 2099749632 layer_factory.hpp:74] Creating layer norm2\r\n",
-        "I0218 20:43:25.387145 2099749632 net.cpp:76] Creating Layer norm2\r\n",
-        "I0218 20:43:25.387152 2099749632 net.cpp:372] norm2 <- pool2\r\n",
-        "I0218 20:43:25.387161 2099749632 net.cpp:334] norm2 -> norm2\r\n",
-        "I0218 20:43:25.387168 2099749632 net.cpp:105] Setting up norm2\r\n",
-        "I0218 20:43:25.387176 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\r\n",
-        "I0218 20:43:25.387228 2099749632 layer_factory.hpp:74] Creating layer conv3\r\n",
-        "I0218 20:43:25.387249 2099749632 net.cpp:76] Creating Layer conv3\r\n",
-        "I0218 20:43:25.387258 2099749632 net.cpp:372] conv3 <- norm2\r\n",
-        "I0218 20:43:25.387266 2099749632 net.cpp:334] conv3 -> conv3\r\n",
-        "I0218 20:43:25.387276 2099749632 net.cpp:105] Setting up conv3\r\n",
-        "I0218 20:43:25.389375 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\r\n",
-        "I0218 20:43:25.389408 2099749632 layer_factory.hpp:74] Creating layer relu3\r\n",
-        "I0218 20:43:25.389421 2099749632 net.cpp:76] Creating Layer relu3\r\n",
-        "I0218 20:43:25.389430 2099749632 net.cpp:372] relu3 <- conv3\r\n",
-        "I0218 20:43:25.389438 2099749632 net.cpp:323] relu3 -> conv3 (in-place)\r\n",
-        "I0218 20:43:25.389447 2099749632 net.cpp:105] Setting up relu3\r\n",
-        "I0218 20:43:25.389456 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\r\n",
-        "I0218 20:43:25.389462 2099749632 layer_factory.hpp:74] Creating layer conv4\r\n",
-        "I0218 20:43:25.389472 2099749632 net.cpp:76] Creating Layer conv4\r\n",
-        "I0218 20:43:25.389478 2099749632 net.cpp:372] conv4 <- conv3\r\n",
-        "I0218 20:43:25.389487 2099749632 net.cpp:334] conv4 -> conv4\r\n",
-        "I0218 20:43:25.389497 2099749632 net.cpp:105] Setting up conv4\r\n",
-        "I0218 20:43:25.391810 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\r\n",
-        "I0218 20:43:25.391856 2099749632 layer_factory.hpp:74] Creating layer relu4\r\n",
-        "I0218 20:43:25.391871 2099749632 net.cpp:76] Creating Layer relu4\r\n",
-        "I0218 20:43:25.391880 2099749632 net.cpp:372] relu4 <- conv4\r\n",
-        "I0218 20:43:25.391888 2099749632 net.cpp:323] relu4 -> conv4 (in-place)\r\n",
-        "I0218 20:43:25.391898 2099749632 net.cpp:105] Setting up relu4\r\n",
-        "I0218 20:43:25.391906 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\r\n",
-        "I0218 20:43:25.391913 2099749632 layer_factory.hpp:74] Creating layer conv5\r\n",
-        "I0218 20:43:25.391923 2099749632 net.cpp:76] Creating Layer conv5\r\n",
-        "I0218 20:43:25.391929 2099749632 net.cpp:372] conv5 <- conv4\r\n",
-        "I0218 20:43:25.391937 2099749632 net.cpp:334] conv5 -> conv5\r\n",
-        "I0218 20:43:25.391947 2099749632 net.cpp:105] Setting up conv5\r\n",
-        "I0218 20:43:25.393072 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\r\n",
-        "I0218 20:43:25.393108 2099749632 layer_factory.hpp:74] Creating layer relu5\r\n",
-        "I0218 20:43:25.393122 2099749632 net.cpp:76] Creating Layer relu5\r\n",
-        "I0218 20:43:25.393129 2099749632 net.cpp:372] relu5 <- conv5\r\n",
-        "I0218 20:43:25.393138 2099749632 net.cpp:323] relu5 -> conv5 (in-place)\r\n",
-        "I0218 20:43:25.393148 2099749632 net.cpp:105] Setting up relu5\r\n",
-        "I0218 20:43:25.393157 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\r\n",
-        "I0218 20:43:25.393167 2099749632 layer_factory.hpp:74] Creating layer pool5\r\n",
-        "I0218 20:43:25.393175 2099749632 net.cpp:76] Creating Layer pool5\r\n",
-        "I0218 20:43:25.393182 2099749632 net.cpp:372] pool5 <- conv5\r\n",
-        "I0218 20:43:25.393190 2099749632 net.cpp:334] pool5 -> pool5\r\n",
-        "I0218 20:43:25.393199 2099749632 net.cpp:105] Setting up pool5\r\n",
-        "I0218 20:43:25.393209 2099749632 net.cpp:112] Top shape: 10 256 6 6 (92160)\r\n",
-        "I0218 20:43:25.393218 2099749632 layer_factory.hpp:74] Creating layer fc6\r\n",
-        "I0218 20:43:25.393226 2099749632 net.cpp:76] Creating Layer fc6\r\n",
-        "I0218 20:43:25.393232 2099749632 net.cpp:372] fc6 <- pool5\r\n",
-        "I0218 20:43:25.393240 2099749632 net.cpp:334] fc6 -> fc6\r\n",
-        "I0218 20:43:25.393249 2099749632 net.cpp:105] Setting up fc6\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0218 20:43:25.516396 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.516445 2099749632 layer_factory.hpp:74] Creating layer relu6\r\n",
-        "I0218 20:43:25.516463 2099749632 net.cpp:76] Creating Layer relu6\r\n",
-        "I0218 20:43:25.516470 2099749632 net.cpp:372] relu6 <- fc6\r\n",
-        "I0218 20:43:25.516480 2099749632 net.cpp:323] relu6 -> fc6 (in-place)\r\n",
-        "I0218 20:43:25.516490 2099749632 net.cpp:105] Setting up relu6\r\n",
-        "I0218 20:43:25.516497 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.516505 2099749632 layer_factory.hpp:74] Creating layer drop6\r\n",
-        "I0218 20:43:25.516515 2099749632 net.cpp:76] Creating Layer drop6\r\n",
-        "I0218 20:43:25.516521 2099749632 net.cpp:372] drop6 <- fc6\r\n",
-        "I0218 20:43:25.516530 2099749632 net.cpp:323] drop6 -> fc6 (in-place)\r\n",
-        "I0218 20:43:25.516538 2099749632 net.cpp:105] Setting up drop6\r\n",
-        "I0218 20:43:25.516557 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.516566 2099749632 layer_factory.hpp:74] Creating layer fc7\r\n",
-        "I0218 20:43:25.516576 2099749632 net.cpp:76] Creating Layer fc7\r\n",
-        "I0218 20:43:25.516582 2099749632 net.cpp:372] fc7 <- fc6\r\n",
-        "I0218 20:43:25.516589 2099749632 net.cpp:334] fc7 -> fc7\r\n",
-        "I0218 20:43:25.516599 2099749632 net.cpp:105] Setting up fc7\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0218 20:43:25.604786 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.604838 2099749632 layer_factory.hpp:74] Creating layer relu7\r\n",
-        "I0218 20:43:25.604852 2099749632 net.cpp:76] Creating Layer relu7\r\n",
-        "I0218 20:43:25.604859 2099749632 net.cpp:372] relu7 <- fc7\r\n",
-        "I0218 20:43:25.604868 2099749632 net.cpp:323] relu7 -> fc7 (in-place)\r\n",
-        "I0218 20:43:25.604878 2099749632 net.cpp:105] Setting up relu7\r\n",
-        "I0218 20:43:25.604885 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.604893 2099749632 layer_factory.hpp:74] Creating layer drop7\r\n",
-        "I0218 20:43:25.604902 2099749632 net.cpp:76] Creating Layer drop7\r\n",
-        "I0218 20:43:25.604908 2099749632 net.cpp:372] drop7 <- fc7\r\n",
-        "I0218 20:43:25.604917 2099749632 net.cpp:323] drop7 -> fc7 (in-place)\r\n",
-        "I0218 20:43:25.604924 2099749632 net.cpp:105] Setting up drop7\r\n",
-        "I0218 20:43:25.604933 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\r\n",
-        "I0218 20:43:25.604939 2099749632 layer_factory.hpp:74] Creating layer fc-rcnn\r\n",
-        "I0218 20:43:25.604948 2099749632 net.cpp:76] Creating Layer fc-rcnn\r\n",
-        "I0218 20:43:25.604954 2099749632 net.cpp:372] fc-rcnn <- fc7\r\n",
-        "I0218 20:43:25.604962 2099749632 net.cpp:334] fc-rcnn -> fc-rcnn\r\n",
-        "I0218 20:43:25.604971 2099749632 net.cpp:105] Setting up fc-rcnn\r\n",
-        "I0218 20:43:25.606878 2099749632 net.cpp:112] Top shape: 10 200 1 1 (2000)\r\n",
-        "I0218 20:43:25.606904 2099749632 net.cpp:165] fc-rcnn does not need backward computation.\r\n",
-        "I0218 20:43:25.606909 2099749632 net.cpp:165] drop7 does not need backward computation.\r\n",
-        "I0218 20:43:25.606916 2099749632 net.cpp:165] relu7 does not need backward computation.\r\n",
-        "I0218 20:43:25.606922 2099749632 net.cpp:165] fc7 does not need backward computation.\r\n",
-        "I0218 20:43:25.606928 2099749632 net.cpp:165] drop6 does not need backward computation.\r\n",
-        "I0218 20:43:25.606935 2099749632 net.cpp:165] relu6 does not need backward computation.\r\n",
-        "I0218 20:43:25.606940 2099749632 net.cpp:165] fc6 does not need backward computation.\r\n",
-        "I0218 20:43:25.606946 2099749632 net.cpp:165] pool5 does not need backward computation.\r\n",
-        "I0218 20:43:25.606952 2099749632 net.cpp:165] relu5 does not need backward computation.\r\n",
-        "I0218 20:43:25.606958 2099749632 net.cpp:165] conv5 does not need backward computation.\r\n",
-        "I0218 20:43:25.606964 2099749632 net.cpp:165] relu4 does not need backward computation.\r\n",
-        "I0218 20:43:25.606971 2099749632 net.cpp:165] conv4 does not need backward computation.\r\n",
-        "I0218 20:43:25.606976 2099749632 net.cpp:165] relu3 does not need backward computation.\r\n",
-        "I0218 20:43:25.606982 2099749632 net.cpp:165] conv3 does not need backward computation.\r\n",
-        "I0218 20:43:25.606988 2099749632 net.cpp:165] norm2 does not need backward computation.\r\n",
-        "I0218 20:43:25.606995 2099749632 net.cpp:165] pool2 does not need backward computation.\r\n",
-        "I0218 20:43:25.607002 2099749632 net.cpp:165] relu2 does not need backward computation.\r\n",
-        "I0218 20:43:25.607007 2099749632 net.cpp:165] conv2 does not need backward computation.\r\n",
-        "I0218 20:43:25.607013 2099749632 net.cpp:165] norm1 does not need backward computation.\r\n",
-        "I0218 20:43:25.607199 2099749632 net.cpp:165] pool1 does not need backward computation.\r\n",
-        "I0218 20:43:25.607213 2099749632 net.cpp:165] relu1 does not need backward computation.\r\n",
-        "I0218 20:43:25.607219 2099749632 net.cpp:165] conv1 does not need backward computation.\r\n",
-        "I0218 20:43:25.607225 2099749632 net.cpp:201] This network produces output fc-rcnn\r\n",
-        "I0218 20:43:25.607239 2099749632 net.cpp:446] Collecting Learning Rate and Weight Decay.\r\n",
-        "I0218 20:43:25.607255 2099749632 net.cpp:213] Network initialization done.\r\n",
-        "I0218 20:43:25.607262 2099749632 net.cpp:214] Memory required for data: 62425920\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "E0218 20:43:26.388214 2099749632 upgrade_proto.cpp:618] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_rcnn_ilsvrc13/bvlc_reference_rcnn_ilsvrc13.caffemodel\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0218 20:43:27.089423 2099749632 upgrade_proto.cpp:626] Successfully upgraded file specified using deprecated V1LayerParameter\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "GPU mode\r\n",
-        "Loading input...\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "selective_search_rcnn({'/Users/shelhamer/h/desk/caffe/caffe-dev/examples/images/fish-bike.jpg'}, '/var/folders/bk/dtkn5qjd11bd17b2j36zplyw0000gp/T/tmpakaRLL.mat')\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Processed 1570 windows in 102.895 s.\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "/Users/shelhamer/anaconda/lib/python2.7/site-packages/pandas/io/pytables.py:2453: PerformanceWarning: \r\n",
-        "your performance may suffer as PyTables will pickle object types that it cannot\r\n",
-        "map directly to c-types [inferred_type->mixed,key->block1_values] [items->['prediction']]\r\n",
-        "\r\n",
-        "  warnings.warn(ws, PerformanceWarning)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Saved to _temp/det_output.h5 in 0.298 s.\r\n"
-       ]
-      }
-     ],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "This run was in GPU mode. For CPU mode detection, call `detect.py` without the `--gpu` argument.\n",
-      "\n",
-      "Running this outputs a DataFrame with the filenames, selected windows, and their detection scores to an HDF5 file.\n",
-      "(We only ran on one image, so the filenames will all be the same.)"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import pandas as pd\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "df = pd.read_hdf('_temp/det_output.h5', 'df')\n",
-      "print(df.shape)\n",
-      "print(df.iloc[0])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "(1570, 5)\n",
-        "prediction    [-2.62247, -2.84579, -2.85122, -3.20838, -1.94...\n",
-        "ymin                                                     79.846\n",
-        "xmin                                                       9.62\n",
-        "ymax                                                     246.31\n",
-        "xmax                                                    339.624\n",
-        "Name: /Users/shelhamer/h/desk/caffe/caffe-dev/examples/images/fish-bike.jpg, dtype: object\n"
-       ]
-      }
-     ],
-     "prompt_number": 2
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[R-CNN](https://github.com/rbgirshick/rcnn) is a state-of-the-art detector that classifies region proposals by a finetuned Caffe model. For the full details of the R-CNN system and model, refer to its project site and the paper:\n",
+    "\n",
+    "> *Rich feature hierarchies for accurate object detection and semantic segmentation*. Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. CVPR 2014. [Arxiv 2013](http://arxiv.org/abs/1311.2524).\n",
+    "\n",
+    "In this example, we do detection by a pure Caffe edition of the R-CNN model for ImageNet. The R-CNN detector outputs class scores for the 200 detection classes of ILSVRC13. Keep in mind that these are raw one vs. all SVM scores, so they are not probabilistically calibrated or exactly comparable across classes. Note that this off-the-shelf model is simply for convenience, and is not the full R-CNN model.\n",
+    "\n",
+    "Let's run detection on an image of a bicyclist riding a fish bike in the desert (from the ImageNet challenge—no joke).\n",
+    "\n",
+    "First, we'll need region proposals and the Caffe R-CNN ImageNet model:\n",
+    "\n",
+    "- [Selective Search](http://koen.me/research/selectivesearch/) is the region proposer used by R-CNN. The [selective_search_ijcv_with_python](https://github.com/sergeyk/selective_search_ijcv_with_python) Python module takes care of extracting proposals through the selective search MATLAB implementation. To install it, download the module and name its directory `selective_search_ijcv_with_python`, run the demo in MATLAB to compile the necessary functions, then add it to your `PYTHONPATH` for importing. (If you have your own region proposals prepared, or would rather not bother with this step, [detect.py](https://github.com/BVLC/caffe/blob/master/python/detect.py) accepts a list of images and bounding boxes as CSV.)\n",
+    "\n",
+    "-Run `./scripts/download_model_binary.py models/bvlc_reference_rcnn_ilsvrc13` to get the Caffe R-CNN ImageNet model.\n",
+    "\n",
+    "With that done, we'll call the bundled `detect.py` to generate the region proposals and run the network. For an explanation of the arguments, do `./detect.py --help`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "1570 regions were proposed with the R-CNN configuration of selective search. The number of proposals will vary from image to image based on its contents and size -- selective search isn't scale invariant.\n",
-      "\n",
-      "In general, `detect.py` is most efficient when running on a lot of images: it first extracts window proposals for all of them, batches the windows for efficient GPU processing, and then outputs the results.\n",
-      "Simply list an image per line in the `images_file`, and it will process all of them.\n",
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING: Logging before InitGoogleLogging() is written to STDERR\n",
+      "I0218 20:43:25.383932 2099749632 net.cpp:42] Initializing net from parameters: \n",
+      "name: \"R-CNN-ilsvrc13\"\n",
+      "input: \"data\"\n",
+      "input_dim: 10\n",
+      "input_dim: 3\n",
+      "input_dim: 227\n",
+      "input_dim: 227\n",
+      "state {\n",
+      "  phase: TEST\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"conv1\"\n",
+      "  type: \"Convolution\"\n",
+      "  bottom: \"data\"\n",
+      "  top: \"conv1\"\n",
+      "  convolution_param {\n",
+      "    num_output: 96\n",
+      "    kernel_size: 11\n",
+      "    stride: 4\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu1\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"conv1\"\n",
+      "  top: \"conv1\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"pool1\"\n",
+      "  type: \"Pooling\"\n",
+      "  bottom: \"conv1\"\n",
+      "  top: \"pool1\"\n",
+      "  pooling_param {\n",
+      "    pool: MAX\n",
+      "    kernel_size: 3\n",
+      "    stride: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"norm1\"\n",
+      "  type: \"LRN\"\n",
+      "  bottom: \"pool1\"\n",
+      "  top: \"norm1\"\n",
+      "  lrn_param {\n",
+      "    local_size: 5\n",
+      "    alpha: 0.0001\n",
+      "    beta: 0.75\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"conv2\"\n",
+      "  type: \"Convolution\"\n",
+      "  bottom: \"norm1\"\n",
+      "  top: \"conv2\"\n",
+      "  convolution_param {\n",
+      "    num_output: 256\n",
+      "    pad: 2\n",
+      "    kernel_size: 5\n",
+      "    group: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu2\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"conv2\"\n",
+      "  top: \"conv2\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"pool2\"\n",
+      "  type: \"Pooling\"\n",
+      "  bottom: \"conv2\"\n",
+      "  top: \"pool2\"\n",
+      "  pooling_param {\n",
+      "    pool: MAX\n",
+      "    kernel_size: 3\n",
+      "    stride: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"norm2\"\n",
+      "  type: \"LRN\"\n",
+      "  bottom: \"pool2\"\n",
+      "  top: \"norm2\"\n",
+      "  lrn_param {\n",
+      "    local_size: 5\n",
+      "    alpha: 0.0001\n",
+      "    beta: 0.75\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"conv3\"\n",
+      "  type: \"Convolution\"\n",
+      "  bottom: \"norm2\"\n",
+      "  top: \"conv3\"\n",
+      "  convolution_param {\n",
+      "    num_output: 384\n",
+      "    pad: 1\n",
+      "    kernel_size: 3\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu3\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"conv3\"\n",
+      "  top: \"conv3\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"conv4\"\n",
+      "  type: \"Convolution\"\n",
+      "  bottom: \"conv3\"\n",
+      "  top: \"conv4\"\n",
+      "  convolution_param {\n",
+      "    num_output: 384\n",
+      "    pad: 1\n",
+      "    kernel_size: 3\n",
+      "    group: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu4\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"conv4\"\n",
+      "  top: \"conv4\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"conv5\"\n",
+      "  type: \"Convolution\"\n",
+      "  bottom: \"conv4\"\n",
+      "  top: \"conv5\"\n",
+      "  convolution_param {\n",
+      "    num_output: 256\n",
+      "    pad: 1\n",
+      "    kernel_size: 3\n",
+      "    group: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu5\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"conv5\"\n",
+      "  top: \"conv5\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"pool5\"\n",
+      "  type: \"Pooling\"\n",
+      "  bottom: \"conv5\"\n",
+      "  top: \"pool5\"\n",
+      "  pooling_param {\n",
+      "    pool: MAX\n",
+      "    kernel_size: 3\n",
+      "    stride: 2\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc6\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"pool5\"\n",
+      "  top: \"fc6\"\n",
+      "  inner_product_param {\n",
+      "    num_output: 4096\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu6\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"fc6\"\n",
+      "  top: \"fc6\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"drop6\"\n",
+      "  type: \"Dropout\"\n",
+      "  bottom: \"fc6\"\n",
+      "  top: \"fc6\"\n",
+      "  dropout_param {\n",
+      "    dropout_ratio: 0.5\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc7\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"fc6\"\n",
+      "  top: \"fc7\"\n",
+      "  inner_product_param {\n",
+      "    num_output: 4096\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu7\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"fc7\"\n",
+      "  top: \"fc7\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"drop7\"\n",
+      "  type: \"Dropout\"\n",
+      "  bottom: \"fc7\"\n",
+      "  top: \"fc7\"\n",
+      "  dropout_param {\n",
+      "    dropout_ratio: 0.5\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc-rcnn\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"fc7\"\n",
+      "  top: \"fc-rcnn\"\n",
+      "  inner_product_param {\n",
+      "    num_output: 200\n",
+      "  }\n",
+      "}\n",
+      "I0218 20:43:25.385720 2099749632 net.cpp:336] Input 0 -> data\n",
+      "I0218 20:43:25.385769 2099749632 layer_factory.hpp:74] Creating layer conv1\n",
+      "I0218 20:43:25.385783 2099749632 net.cpp:76] Creating Layer conv1\n",
+      "I0218 20:43:25.385790 2099749632 net.cpp:372] conv1 <- data\n",
+      "I0218 20:43:25.385802 2099749632 net.cpp:334] conv1 -> conv1\n",
+      "I0218 20:43:25.385815 2099749632 net.cpp:105] Setting up conv1\n",
+      "I0218 20:43:25.386574 2099749632 net.cpp:112] Top shape: 10 96 55 55 (2904000)\n",
+      "I0218 20:43:25.386610 2099749632 layer_factory.hpp:74] Creating layer relu1\n",
+      "I0218 20:43:25.386625 2099749632 net.cpp:76] Creating Layer relu1\n",
+      "I0218 20:43:25.386631 2099749632 net.cpp:372] relu1 <- conv1\n",
+      "I0218 20:43:25.386641 2099749632 net.cpp:323] relu1 -> conv1 (in-place)\n",
+      "I0218 20:43:25.386649 2099749632 net.cpp:105] Setting up relu1\n",
+      "I0218 20:43:25.386656 2099749632 net.cpp:112] Top shape: 10 96 55 55 (2904000)\n",
+      "I0218 20:43:25.386663 2099749632 layer_factory.hpp:74] Creating layer pool1\n",
+      "I0218 20:43:25.386675 2099749632 net.cpp:76] Creating Layer pool1\n",
+      "I0218 20:43:25.386682 2099749632 net.cpp:372] pool1 <- conv1\n",
+      "I0218 20:43:25.386690 2099749632 net.cpp:334] pool1 -> pool1\n",
+      "I0218 20:43:25.386699 2099749632 net.cpp:105] Setting up pool1\n",
+      "I0218 20:43:25.386716 2099749632 net.cpp:112] Top shape: 10 96 27 27 (699840)\n",
+      "I0218 20:43:25.386725 2099749632 layer_factory.hpp:74] Creating layer norm1\n",
+      "I0218 20:43:25.386736 2099749632 net.cpp:76] Creating Layer norm1\n",
+      "I0218 20:43:25.386744 2099749632 net.cpp:372] norm1 <- pool1\n",
+      "I0218 20:43:25.386803 2099749632 net.cpp:334] norm1 -> norm1\n",
+      "I0218 20:43:25.386819 2099749632 net.cpp:105] Setting up norm1\n",
+      "I0218 20:43:25.386832 2099749632 net.cpp:112] Top shape: 10 96 27 27 (699840)\n",
+      "I0218 20:43:25.386842 2099749632 layer_factory.hpp:74] Creating layer conv2\n",
+      "I0218 20:43:25.386852 2099749632 net.cpp:76] Creating Layer conv2\n",
+      "I0218 20:43:25.386865 2099749632 net.cpp:372] conv2 <- norm1\n",
+      "I0218 20:43:25.386878 2099749632 net.cpp:334] conv2 -> conv2\n",
+      "I0218 20:43:25.386899 2099749632 net.cpp:105] Setting up conv2\n",
+      "I0218 20:43:25.387024 2099749632 net.cpp:112] Top shape: 10 256 27 27 (1866240)\n",
+      "I0218 20:43:25.387042 2099749632 layer_factory.hpp:74] Creating layer relu2\n",
+      "I0218 20:43:25.387050 2099749632 net.cpp:76] Creating Layer relu2\n",
+      "I0218 20:43:25.387058 2099749632 net.cpp:372] relu2 <- conv2\n",
+      "I0218 20:43:25.387066 2099749632 net.cpp:323] relu2 -> conv2 (in-place)\n",
+      "I0218 20:43:25.387075 2099749632 net.cpp:105] Setting up relu2\n",
+      "I0218 20:43:25.387081 2099749632 net.cpp:112] Top shape: 10 256 27 27 (1866240)\n",
+      "I0218 20:43:25.387089 2099749632 layer_factory.hpp:74] Creating layer pool2\n",
+      "I0218 20:43:25.387097 2099749632 net.cpp:76] Creating Layer pool2\n",
+      "I0218 20:43:25.387104 2099749632 net.cpp:372] pool2 <- conv2\n",
+      "I0218 20:43:25.387112 2099749632 net.cpp:334] pool2 -> pool2\n",
+      "I0218 20:43:25.387121 2099749632 net.cpp:105] Setting up pool2\n",
+      "I0218 20:43:25.387130 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\n",
+      "I0218 20:43:25.387137 2099749632 layer_factory.hpp:74] Creating layer norm2\n",
+      "I0218 20:43:25.387145 2099749632 net.cpp:76] Creating Layer norm2\n",
+      "I0218 20:43:25.387152 2099749632 net.cpp:372] norm2 <- pool2\n",
+      "I0218 20:43:25.387161 2099749632 net.cpp:334] norm2 -> norm2\n",
+      "I0218 20:43:25.387168 2099749632 net.cpp:105] Setting up norm2\n",
+      "I0218 20:43:25.387176 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\n",
+      "I0218 20:43:25.387228 2099749632 layer_factory.hpp:74] Creating layer conv3\n",
+      "I0218 20:43:25.387249 2099749632 net.cpp:76] Creating Layer conv3\n",
+      "I0218 20:43:25.387258 2099749632 net.cpp:372] conv3 <- norm2\n",
+      "I0218 20:43:25.387266 2099749632 net.cpp:334] conv3 -> conv3\n",
+      "I0218 20:43:25.387276 2099749632 net.cpp:105] Setting up conv3\n",
+      "I0218 20:43:25.389375 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\n",
+      "I0218 20:43:25.389408 2099749632 layer_factory.hpp:74] Creating layer relu3\n",
+      "I0218 20:43:25.389421 2099749632 net.cpp:76] Creating Layer relu3\n",
+      "I0218 20:43:25.389430 2099749632 net.cpp:372] relu3 <- conv3\n",
+      "I0218 20:43:25.389438 2099749632 net.cpp:323] relu3 -> conv3 (in-place)\n",
+      "I0218 20:43:25.389447 2099749632 net.cpp:105] Setting up relu3\n",
+      "I0218 20:43:25.389456 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\n",
+      "I0218 20:43:25.389462 2099749632 layer_factory.hpp:74] Creating layer conv4\n",
+      "I0218 20:43:25.389472 2099749632 net.cpp:76] Creating Layer conv4\n",
+      "I0218 20:43:25.389478 2099749632 net.cpp:372] conv4 <- conv3\n",
+      "I0218 20:43:25.389487 2099749632 net.cpp:334] conv4 -> conv4\n",
+      "I0218 20:43:25.389497 2099749632 net.cpp:105] Setting up conv4\n",
+      "I0218 20:43:25.391810 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\n",
+      "I0218 20:43:25.391856 2099749632 layer_factory.hpp:74] Creating layer relu4\n",
+      "I0218 20:43:25.391871 2099749632 net.cpp:76] Creating Layer relu4\n",
+      "I0218 20:43:25.391880 2099749632 net.cpp:372] relu4 <- conv4\n",
+      "I0218 20:43:25.391888 2099749632 net.cpp:323] relu4 -> conv4 (in-place)\n",
+      "I0218 20:43:25.391898 2099749632 net.cpp:105] Setting up relu4\n",
+      "I0218 20:43:25.391906 2099749632 net.cpp:112] Top shape: 10 384 13 13 (648960)\n",
+      "I0218 20:43:25.391913 2099749632 layer_factory.hpp:74] Creating layer conv5\n",
+      "I0218 20:43:25.391923 2099749632 net.cpp:76] Creating Layer conv5\n",
+      "I0218 20:43:25.391929 2099749632 net.cpp:372] conv5 <- conv4\n",
+      "I0218 20:43:25.391937 2099749632 net.cpp:334] conv5 -> conv5\n",
+      "I0218 20:43:25.391947 2099749632 net.cpp:105] Setting up conv5\n",
+      "I0218 20:43:25.393072 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\n",
+      "I0218 20:43:25.393108 2099749632 layer_factory.hpp:74] Creating layer relu5\n",
+      "I0218 20:43:25.393122 2099749632 net.cpp:76] Creating Layer relu5\n",
+      "I0218 20:43:25.393129 2099749632 net.cpp:372] relu5 <- conv5\n",
+      "I0218 20:43:25.393138 2099749632 net.cpp:323] relu5 -> conv5 (in-place)\n",
+      "I0218 20:43:25.393148 2099749632 net.cpp:105] Setting up relu5\n",
+      "I0218 20:43:25.393157 2099749632 net.cpp:112] Top shape: 10 256 13 13 (432640)\n",
+      "I0218 20:43:25.393167 2099749632 layer_factory.hpp:74] Creating layer pool5\n",
+      "I0218 20:43:25.393175 2099749632 net.cpp:76] Creating Layer pool5\n",
+      "I0218 20:43:25.393182 2099749632 net.cpp:372] pool5 <- conv5\n",
+      "I0218 20:43:25.393190 2099749632 net.cpp:334] pool5 -> pool5\n",
+      "I0218 20:43:25.393199 2099749632 net.cpp:105] Setting up pool5\n",
+      "I0218 20:43:25.393209 2099749632 net.cpp:112] Top shape: 10 256 6 6 (92160)\n",
+      "I0218 20:43:25.393218 2099749632 layer_factory.hpp:74] Creating layer fc6\n",
+      "I0218 20:43:25.393226 2099749632 net.cpp:76] Creating Layer fc6\n",
+      "I0218 20:43:25.393232 2099749632 net.cpp:372] fc6 <- pool5\n",
+      "I0218 20:43:25.393240 2099749632 net.cpp:334] fc6 -> fc6\n",
+      "I0218 20:43:25.393249 2099749632 net.cpp:105] Setting up fc6\n",
+      "I0218 20:43:25.516396 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.516445 2099749632 layer_factory.hpp:74] Creating layer relu6\n",
+      "I0218 20:43:25.516463 2099749632 net.cpp:76] Creating Layer relu6\n",
+      "I0218 20:43:25.516470 2099749632 net.cpp:372] relu6 <- fc6\n",
+      "I0218 20:43:25.516480 2099749632 net.cpp:323] relu6 -> fc6 (in-place)\n",
+      "I0218 20:43:25.516490 2099749632 net.cpp:105] Setting up relu6\n",
+      "I0218 20:43:25.516497 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.516505 2099749632 layer_factory.hpp:74] Creating layer drop6\n",
+      "I0218 20:43:25.516515 2099749632 net.cpp:76] Creating Layer drop6\n",
+      "I0218 20:43:25.516521 2099749632 net.cpp:372] drop6 <- fc6\n",
+      "I0218 20:43:25.516530 2099749632 net.cpp:323] drop6 -> fc6 (in-place)\n",
+      "I0218 20:43:25.516538 2099749632 net.cpp:105] Setting up drop6\n",
+      "I0218 20:43:25.516557 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.516566 2099749632 layer_factory.hpp:74] Creating layer fc7\n",
+      "I0218 20:43:25.516576 2099749632 net.cpp:76] Creating Layer fc7\n",
+      "I0218 20:43:25.516582 2099749632 net.cpp:372] fc7 <- fc6\n",
+      "I0218 20:43:25.516589 2099749632 net.cpp:334] fc7 -> fc7\n",
+      "I0218 20:43:25.516599 2099749632 net.cpp:105] Setting up fc7\n",
+      "I0218 20:43:25.604786 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.604838 2099749632 layer_factory.hpp:74] Creating layer relu7\n",
+      "I0218 20:43:25.604852 2099749632 net.cpp:76] Creating Layer relu7\n",
+      "I0218 20:43:25.604859 2099749632 net.cpp:372] relu7 <- fc7\n",
+      "I0218 20:43:25.604868 2099749632 net.cpp:323] relu7 -> fc7 (in-place)\n",
+      "I0218 20:43:25.604878 2099749632 net.cpp:105] Setting up relu7\n",
+      "I0218 20:43:25.604885 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.604893 2099749632 layer_factory.hpp:74] Creating layer drop7\n",
+      "I0218 20:43:25.604902 2099749632 net.cpp:76] Creating Layer drop7\n",
+      "I0218 20:43:25.604908 2099749632 net.cpp:372] drop7 <- fc7\n",
+      "I0218 20:43:25.604917 2099749632 net.cpp:323] drop7 -> fc7 (in-place)\n",
+      "I0218 20:43:25.604924 2099749632 net.cpp:105] Setting up drop7\n",
+      "I0218 20:43:25.604933 2099749632 net.cpp:112] Top shape: 10 4096 1 1 (40960)\n",
+      "I0218 20:43:25.604939 2099749632 layer_factory.hpp:74] Creating layer fc-rcnn\n",
+      "I0218 20:43:25.604948 2099749632 net.cpp:76] Creating Layer fc-rcnn\n",
+      "I0218 20:43:25.604954 2099749632 net.cpp:372] fc-rcnn <- fc7\n",
+      "I0218 20:43:25.604962 2099749632 net.cpp:334] fc-rcnn -> fc-rcnn\n",
+      "I0218 20:43:25.604971 2099749632 net.cpp:105] Setting up fc-rcnn\n",
+      "I0218 20:43:25.606878 2099749632 net.cpp:112] Top shape: 10 200 1 1 (2000)\n",
+      "I0218 20:43:25.606904 2099749632 net.cpp:165] fc-rcnn does not need backward computation.\n",
+      "I0218 20:43:25.606909 2099749632 net.cpp:165] drop7 does not need backward computation.\n",
+      "I0218 20:43:25.606916 2099749632 net.cpp:165] relu7 does not need backward computation.\n",
+      "I0218 20:43:25.606922 2099749632 net.cpp:165] fc7 does not need backward computation.\n",
+      "I0218 20:43:25.606928 2099749632 net.cpp:165] drop6 does not need backward computation.\n",
+      "I0218 20:43:25.606935 2099749632 net.cpp:165] relu6 does not need backward computation.\n",
+      "I0218 20:43:25.606940 2099749632 net.cpp:165] fc6 does not need backward computation.\n",
+      "I0218 20:43:25.606946 2099749632 net.cpp:165] pool5 does not need backward computation.\n",
+      "I0218 20:43:25.606952 2099749632 net.cpp:165] relu5 does not need backward computation.\n",
+      "I0218 20:43:25.606958 2099749632 net.cpp:165] conv5 does not need backward computation.\n",
+      "I0218 20:43:25.606964 2099749632 net.cpp:165] relu4 does not need backward computation.\n",
+      "I0218 20:43:25.606971 2099749632 net.cpp:165] conv4 does not need backward computation.\n",
+      "I0218 20:43:25.606976 2099749632 net.cpp:165] relu3 does not need backward computation.\n",
+      "I0218 20:43:25.606982 2099749632 net.cpp:165] conv3 does not need backward computation.\n",
+      "I0218 20:43:25.606988 2099749632 net.cpp:165] norm2 does not need backward computation.\n",
+      "I0218 20:43:25.606995 2099749632 net.cpp:165] pool2 does not need backward computation.\n",
+      "I0218 20:43:25.607002 2099749632 net.cpp:165] relu2 does not need backward computation.\n",
+      "I0218 20:43:25.607007 2099749632 net.cpp:165] conv2 does not need backward computation.\n",
+      "I0218 20:43:25.607013 2099749632 net.cpp:165] norm1 does not need backward computation.\n",
+      "I0218 20:43:25.607199 2099749632 net.cpp:165] pool1 does not need backward computation.\n",
+      "I0218 20:43:25.607213 2099749632 net.cpp:165] relu1 does not need backward computation.\n",
+      "I0218 20:43:25.607219 2099749632 net.cpp:165] conv1 does not need backward computation.\n",
+      "I0218 20:43:25.607225 2099749632 net.cpp:201] This network produces output fc-rcnn\n",
+      "I0218 20:43:25.607239 2099749632 net.cpp:446] Collecting Learning Rate and Weight Decay.\n",
+      "I0218 20:43:25.607255 2099749632 net.cpp:213] Network initialization done.\n",
+      "I0218 20:43:25.607262 2099749632 net.cpp:214] Memory required for data: 62425920\n",
+      "E0218 20:43:26.388214 2099749632 upgrade_proto.cpp:618] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_rcnn_ilsvrc13/bvlc_reference_rcnn_ilsvrc13.caffemodel\n",
+      "I0218 20:43:27.089423 2099749632 upgrade_proto.cpp:626] Successfully upgraded file specified using deprecated V1LayerParameter\n",
+      "GPU mode\n",
+      "Loading input...\n",
+      "selective_search_rcnn({'/Users/shelhamer/h/desk/caffe/caffe-dev/examples/images/fish-bike.jpg'}, '/var/folders/bk/dtkn5qjd11bd17b2j36zplyw0000gp/T/tmpakaRLL.mat')\n",
+      "Processed 1570 windows in 102.895 s.\n",
+      "/Users/shelhamer/anaconda/lib/python2.7/site-packages/pandas/io/pytables.py:2453: PerformanceWarning: \n",
+      "your performance may suffer as PyTables will pickle object types that it cannot\n",
+      "map directly to c-types [inferred_type->mixed,key->block1_values] [items->['prediction']]\n",
       "\n",
-      "Although this guide gives an example of R-CNN ImageNet detection, `detect.py` is clever enough to adapt to different Caffe models\u2019 input dimensions, batch size, and output categories. You can switch the model definition and pretrained model as desired. Refer to `python detect.py --help` for the parameters to describe your data set. There's no need for hardcoding.\n",
-      "\n",
-      "Anyway, let's now load the ILSVRC13 detection class names and make a DataFrame of the predictions. Note you'll need the auxiliary ilsvrc2012 data fetched by `data/ilsvrc12/get_ilsvrc12_aux.sh`."
+      "  warnings.warn(ws, PerformanceWarning)\n",
+      "Saved to _temp/det_output.h5 in 0.298 s.\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "with open('../data/ilsvrc12/det_synset_words.txt') as f:\n",
-      "    labels_df = pd.DataFrame([\n",
-      "        {\n",
-      "            'synset_id': l.strip().split(' ')[0],\n",
-      "            'name': ' '.join(l.strip().split(' ')[1:]).split(',')[0]\n",
-      "        }\n",
-      "        for l in f.readlines()\n",
-      "    ])\n",
-      "labels_df.sort('synset_id')\n",
-      "predictions_df = pd.DataFrame(np.vstack(df.prediction.values), columns=labels_df['name'])\n",
-      "print(predictions_df.iloc[0])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "name\n",
-        "accordion      -2.622471\n",
-        "airplane       -2.845788\n",
-        "ant            -2.851219\n",
-        "antelope       -3.208377\n",
-        "apple          -1.949950\n",
-        "armadillo      -2.472935\n",
-        "artichoke      -2.201684\n",
-        "axe            -2.327404\n",
-        "baby bed       -2.737925\n",
-        "backpack       -2.176763\n",
-        "bagel          -2.681061\n",
-        "balance beam   -2.722538\n",
-        "banana         -2.390628\n",
-        "band aid       -1.598909\n",
-        "banjo          -2.298197\n",
-        "...\n",
-        "trombone        -2.582361\n",
-        "trumpet         -2.352853\n",
-        "turtle          -2.360859\n",
-        "tv or monitor   -2.761043\n",
-        "unicycle        -2.218467\n",
-        "vacuum          -1.907717\n",
-        "violin          -2.757079\n",
-        "volleyball      -2.723689\n",
-        "waffle iron     -2.418540\n",
-        "washer          -2.408994\n",
-        "water bottle    -2.174899\n",
-        "watercraft      -2.837425\n",
-        "whale           -3.120338\n",
-        "wine bottle     -2.772960\n",
-        "zebra           -2.742913\n",
-        "Name: 0, Length: 200, dtype: float32\n"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
+    }
+   ],
+   "source": [
+    "!mkdir -p _temp\n",
+    "!echo `pwd`/images/fish-bike.jpg > _temp/det_input.txt\n",
+    "!../python/detect.py --crop_mode=selective_search --pretrained_model=../models/bvlc_reference_rcnn_ilsvrc13/bvlc_reference_rcnn_ilsvrc13.caffemodel --model_def=../models/bvlc_reference_rcnn_ilsvrc13/deploy.prototxt --gpu --raw_scale=255 _temp/det_input.txt _temp/det_output.h5"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This run was in GPU mode. For CPU mode detection, call `detect.py` without the `--gpu` argument.\n",
+    "\n",
+    "Running this outputs a DataFrame with the filenames, selected windows, and their detection scores to an HDF5 file.\n",
+    "(We only ran on one image, so the filenames will all be the same.)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Let's look at the activations."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1570, 5)\n",
+      "prediction    [-2.62247, -2.84579, -2.85122, -3.20838, -1.94...\n",
+      "ymin                                                     79.846\n",
+      "xmin                                                       9.62\n",
+      "ymax                                                     246.31\n",
+      "xmax                                                    339.624\n",
+      "Name: /Users/shelhamer/h/desk/caffe/caffe-dev/examples/images/fish-bike.jpg, dtype: object\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.gray()\n",
-      "plt.matshow(predictions_df.values)\n",
-      "plt.xlabel('Classes')\n",
-      "plt.ylabel('Windows')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 4,
-       "text": [
-        "<matplotlib.text.Text at 0x114f15f90>"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "text": [
-        "<matplotlib.figure.Figure at 0x114254b50>"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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nU4pc4hFc/EHg0E4HA4kEgncv39fMGZN05DJZOD1euFyuUTUFAqF0G634ff7YTKZ4PF44PV65X0F\nAgFp7Ig1s8lkbZ9IJIRip1fQ7XYjkUgglUrBbDYjkUhgd3dXSCHGMPCz9Xg84lRxuVxwu91y6rzu\nda12ZtZoLpdLsNHZbCY6iKOjI/HXhUIh/PEf/zHW6zWq1So8Hg+Oj49FaE58l7tZpVKB1+uV0Bab\nzYZisYhWqyVlAMX7lEo2Gg3cu3cPz549g9PpvKTlpZ53tVrh+PgYiUQCxWIR4XBYMGHi41arFdPp\nVBRt/X4fs9kMiURC7GC1Wk0sXGwu9/f3BcqLRqMoFAoCI/I1dDodtFotKU2sVis6nQ5u376N4+Nj\nIW5arZb0EnyP/X5fmrxGowG73S4Sz3a7Lbgy3zOpbxJWjx49gqIo+OSTT7C9vX2lXRm4Zjtzu91G\nrVbDYrHAfD5Hv98XQqLT6WBra0vw0fl8ji9+8Yt49OgRIpEIXr58KU0cpZcX3dW0OdGhMRgMEA6H\nEQqF0Gq1xJ1BnJW7UavVgtPpFC3zfD4Xva/b7UY4HMbW1pZIJJllQQlpLBZDsVjEdDoVhIP2LcYK\nUHJZq9UwnU4RjUZFl00cnbEDg8EAo9EIjUZDJJ5kEllWud1uKQlcLhd6vR50XZfAmuVyiUKhIKcP\nyyOq69gf1Ot1iXS4GMjD+p4nTyQSkRPuKte1Wsy03qTTafkivF4vFosFgsEgAIhmVlVVPHv2DOl0\nGhaLBRsbG6KpCAQC8Pv92N/fRyKRgKIoyGazcpwTXaDTeWdnR7x6wWBQHM4+nw/L5RI3b94UBRoA\nWYilUklwXOpAdnd3EQqFLkUm0FOXzWbhdrslwosGXYryl8ulwI3L5VKc4IQSWTdHIhHBsi9mh2ia\nJhg4dd/UUbPuZbCL1+uVG8Ln88FqtYrLmyekz+cTcT4p+Gg0is3NTSmVWNZomobd3d0rff/XajGz\nZqVgxuFw4OTkRPBTpgQRnXA4HBIYU61WoSgKVquVeO6azSYGg4FkU1itVvGymUwmie1iidFsNtHr\n9dBut9HpdESo/9FHHwnNPBgMxPHN0BdCdoPBAJ1OB7quiyi/Wq2i1WqJvrjX6wnaQTgRAE5PT+V1\n7e/vYzabSRQWSwGSLLQvUWjEXZg0NJnQfD6PwWAgbGi9Xpe8DfoOWdpczOVot9soFApSVhACrVQq\nosY7OjrCfD6XaLLxeIxKpXKl7/9aJRp985vfFI1ur9cThosZEbTs12o1JJNJgag0TRNLFb9ILiiH\nwyGCI3rpgXcGAAAgAElEQVT8JpOJEBOkcG02m7BkrG8pKGK9DEB+3u12EQ6HRePAPAzu+Iz+oqKP\naAbdNIS8qMjTdV1uUGo82MgVCgVsbW1hPB4jGAxKk0yh0avPDy6XS3QZ4XAYw+FQtCcMhmk2m4jF\nYqLvZsadw+GQml5VVezv78Pv98Nms8FqtULXdXHAOJ1O1Ot1JJNJiQaj7ew3f/M33yYaAYCu69JY\nnZycSDLl3t4eLBYLjo+PEYlEUK/XxdVRqVRw7949SdqZzWY4PT3FvXv3cHh4iLt37+L58+e4ceOG\n7JT0FLLZ4S5DnDsUCmE0GgkzV6/X4ff7JamzWq1KXsfFpspms2E6nUpjyXqTATOVSgXRaBTBYBD1\nel1yKVhTU2HHBKaXL1/CbDbj6dOnl2IB6ERZLBaCP5P27nQ6gpfTCeP1evGjH/1IwhuZqKqqKj7z\nmc/g8PAQAETu6nK5hNUbDAaX3Oq8eb1eLwaDAcrlsqA3xL1f97pWO/PXvvY1JBIJ1Go1BAIBbG9v\n4+DgAPF4HNVqVaSh/JIePHiAP/qjP8KdO3dgsViQzWYl7GU2m+HevXv45JNPMBgMJLtiMBgIwwYA\niURCcjlqtZrseKlUCt1uV8oAitsXiwUCgYDoGEwmE6rVqsgj4/E4crmcMJfNZlN2cmZpsJkju0gC\n5f3338fDhw/RarWQTCYRDAbRarUEWQCAZDKJH/zgBwiFQlBVVVRrhmFI7U1vZDweR6fTQaFQgMlk\nElSFFrNYLCaUORlKn88HXdeF9ez1egLrsYcg6hMIBEQF6HA40Gg08Ad/8Advd2bgx9FcpFSdTieq\n1aqI0UulksBS6/UaP/rRj6DrunzZh4eHUlc7nU5873vfE7tQrVaTxxmPx7KAWq0WWq0Wtre3MRgM\nMJvNBB4DzmWpvV5PvsCL7ufBYCBIQr1eRyQSkXqXiaTdblfez0WTLBV79XodLpcLnU5HYDDWyuv1\nGt1uF+VyWUoS0vPtdhs2m008fvP5HF6vV3LvaMotl8tCqe/u7iKfz6NYLEoQjcPhwPPnz8UCRSnq\nixcv8MEHH6Db7Qpt3mg0xDNZLBZx69YtqdEZA3yV61ot5mg0KouDH2AmkxGigOk5JCBu376NFy9e\nIJvNSo1NyxDF4kyyVFVVogXS6TRqtRqsVqugDvxiWfuFQiHx11HySScKPXB0fvDE+MnaXFEU7O7u\n4uTkRBADZiiTfibyQnJntVoJ3svXzNDvi3Af47EODw8lDIYQnsfjgaZp6Ha7SCQSAktyx2bN/eUv\nf1nqcU3T5DGcTifef/99kafyJGK/QQOC3W6XBClmlFzlulZoRq/XEyuPx+MRmpbZxQxL6Xa7smPQ\nt+Z2u+Vo3tnZgd/vF3aOZYTD4YDVakWv1xP2i6whAxNXq5UIdoipmkwm1Ot1YQ3JVHIRs6EMBAK4\ndeuWiIbozmaJwKkA3W5XUBXutIZh4Ctf+YqUIQ6HQwwHjF7Y2NgQ9i4ajUozCkCaRWos+v0+QqEQ\nlsulnG6NRgOBQAC3b99GLBaTm5PiLjpZmF1y0aDK9CLqmQnZ8e8DkI3oda9rtTPv7u7KEdtsNiWN\nnYJ1TdPQbDYxHo+xtbUlwd1M62Rj+MMf/hDpdBqPHj3CrVu3UK/Xsbe3h1KphF6vh93dXXQ6HRmZ\ncHBwIOUD0ZOHDx+K1arX62E0GkniPj1z29vbIuJxOBwSaUvPIp0cz58/lxuLzN/BwQHu3LkDj8eD\nSqWC09NTiR2j8IdwHQmc09NTsXDVajXs7OwIDBkIBBAIBCQrOZ1O46OPPoLf74eiKOIkyeVyAjHy\nFKDemzkYmqah0WggEolITV+r1QR/7vV6YqAlW8v6+SrXtWoAf+3Xfg3pdBqNRgN+vx/b29t48eIF\nEomE0K0AUCgU4Ha78d577+EP//APcefOHQlOrNfrYiS9d+8eHj9+LLFTbrdbRErUKaTTaZGKNptN\n0T0kEgkRqNOISn0ETbLckS4iCqlUCqenpzJnhF495iYDEPVdMBiUHW+xWOBLX/oSvve976HVaiGV\nSiEQCIhiLpVKwWQyIRaL4fvf//6lHA2PxyOjMqjE83g8EhJO7TQRkQ8++ABPnjyRxKbZbCajIxhK\nQzy60+kIoUOokhJTWrPYADabTfz+7//+azeA12oxf/Ob34TP55NMDCbIUzfM2rdarYoplVRwqVSS\nfOblconJZILJZCLOFMMwEAwGJUaLBAsA2V2JqbIJ4mtheUEnB7v8YDAohA5F/rQoMeiFODMNscR2\nAUiyEL1/dDiPx2OEQqFLxAtLBqZ5djodSTBi2hFfC0uS4XAosCIXPKcEMH42GAyi0+lIWpSmaQiF\nQhKnQHktYx6o+S6Xy9jY2MDBwYE4TMxmM37rt37rLZoBQOhbpuik02l0Oh3s7Ozg2bNnElZCXLdY\nLOLo6Ai/9Eu/BJPJhNPTU0SjURwdHYm4BvixdWk0Gol/jSJ1NkpskE5OTiTettvtSuYF2T5FUUQZ\nRziu1+vB5XJhNBpJ6UNV2mAwEMlpq9WC1+uFruswDAM3btxAtVqV+n08HouGeDgcolKpIBgMolar\niQ6brKbT6bykIe71erh9+7bk2fV6PRweHkLTNJn9srW1hf39fWQyGdFhc7YLwxYnkwnK5bLk2zF6\nl2wlk5zS6TSOj49xdHSE4XCIeDyOR48eXen7v1YNIO3+Pp8PmUwGsVhMPkgygyQuWDoAuJSwmc/n\nZRKTxWLB/fv3MZlMZAZIPB6Hz+cT0oSLjbVrKBRCJpMR4TqllTS38r8pxp9Op+LrYwIQM+yY00aR\nEcuJcDgsoieiFmQwqXOgwo8sJwVUgUDg0pEfCASg67o0bWQwAUhjmk6nYbPZpA8hXV8ul6UGZonC\n7+FiBC/ZSiYlMfqB6AwjDiiXfd3rWu3M/X5f4lsDgQC8Xq+Ij0ajEe7du4f1eo1cLof1eo1f/MVf\nRKFQEBf3r/7qr6LdbmN3dxfr9Rq//Mu/jMPDQ/lS6FBhc7Zer7G7u4vZbAaXy4Xlcim75t27d8Vg\nu7m5iW63KwIeQncU+XQ6HVitVqRSKSQSCZnwxMgCegqZ2EnHNJPuuSi+8pWv4Lvf/a7Y/D//+c+j\n1Wqh0WiIN5DmWjpI+v0+7t69KygMhfmLxQJf+cpXxHsYi8Ukfvezn/0sjo+P5UZIp9NIJpOy+FVV\nFSc4R67REU9ZAbXcvLF4mj18+PC1v/9rVTP/xm/8hgSOx+NxoYopWD84OJAEIy58kgkM2bZYLJjP\n57hx4wa+//3v486dO4JyOBwO5PN5ZDIZ2VnD4TAODg7gdDrR6XSQSqVkxz47O5OJTGz2iAAUi0Xs\n7u6KCIgCKKrO6DKv1Wrw+XzybzKBdH9wgZVKJYxGI8nNY0QtpaFUEFosFmkgycjRysRSxDAMiQpg\n2hEx9NPTUwmX5MSAer0uDhQmI1HjQQyeJ+T29rYwgnSGc7zGw4cP8Sd/8idva2YAl/LTTk5OkMlk\nRKzPzDhivGSiSqWSgP5Ucem6jhcvXogQh40krVMU1U+nU9TrdSEp2L3Te0h7EbFqKueI5xKpuJia\nxEaMfyeRSIimghYqivy5ABlzexFRCAaDkqF8kWbmdKxgMChZdsxGJvLCcqPZbEpaKHCuU3a73RKT\nwPfD8qbdbiObzcLr9YqakDpoBk1e9ExSJ0Ip6duogQtXr9cTL1y9XhdXcaPRkGaOKjIOaCwWixgO\nh+j3+9B1HZ1OB6VSCcvlEq1WC5PJRMbzAucTSSuVClarlUR9DQYDFItFVKtVybB48eIF/H6/sGwU\nELXbbWENaZjN5XLyxQPn4xcePXqEZrOJ/f19iZZ9+fKlHNvdbhf5fB69Xk8gQebPMXCl2WzKv5ld\nx5mGpPHZHH700UeXXiNwLiut1WoYDodCz1erVZycnOCjjz6SiQP7+/uXUkEHgwH++q//Whg9Mn9U\nEzKXg+E0tJz98Ic/vNL3f612ZsZdUYTDwBWKYIh5sllSFEUEN5FIBBaLBdVqVVKMOBaiUqkglUpJ\nLAEhtXg8jlQqhfl8jtPTUxHqM2eNKT8Mn6FYh0gFa06Xy4VAICDHNIXzbKoikQh6vZ4YcGOxmEgn\niSUfHx/j/fffx2AwQK1WQyQSkcfj6eB0OhEKhVAuly9N3qL1iuaE0WgkzpfVaoVMJoNGoyGoTTab\nlXR+ZnhwABBw3gDev39f6PF4PI5arYZsNivZcqzh+dy6rl85Of9a7cyse7vdLjY2NjAajcSSw2gA\nfpBMHNrd3RWtcLFYhMPhwAcffCBw2XA4xP379y8lwnOK6Ww2k6ziVCoFTdOQz+dl+A4F8bFYTHZ6\n1qBUpLG+Zj7c2dkZlsulBJlfLDvu3buHVquFWq0mU6+Ojo4AnLtXLqYIcehQLBaTG5PBjjw9qF+h\n0L/f78Nmswkzubu7K3G+DGrkfEKOq+Bzc+oVoxaIXjAzj3U+iZ/pdIqzszO0Wi10Oh1EIhFx4rzu\nda0WM0MEedRdPMq501AcztqVc7OPj49FYD8cDkWrTHz34OBAJJccJkl9Ba1YFDKx1tY0TSBARVEk\nuJs5dcFgEFarFbu7u9JIUaNMPx5vSmK2xMoZysIoMTq3V6uVMIz0JRIn56nF/Ds2aD6fD9lsVnKs\nyUgSleCQn9VqJZ7CVqslOXIul0sE+2Q4OVtQVVWZ90fzLMu/3d1dsaIBEJ3I617XajFHo1HxyjFr\njSIb4LzepcTzopOYXT/F7aPRCMFg8JJL5aIwhynwwWBQ0ISLY8moT6AskjNHmLQJnBM8vNlo108k\nEpfm41HOyh2amDTjAbhDslyg04UiqYupRZx2xRuUN5TFYkG9XpeIrvV6LVOpSLCwDOBnVa/XJdeZ\naBDFWhy1xrFwlAZwhBwAubEp2KLV7arjhq/VYqbHjaMJSGK43W5EIhHJkgiHwzCZTPjGN74h9enF\n3ZM7zu3bt6GqKjY2NpDP50VzkEwmpYRgCihJCS4aTdOkkWJYDONgZ7MZ0um0mDkJZ5G9JEphMpmE\nOSNxQmPp/fv3xZ2xXq9x48YNRKNRCcC5mOi0ubkpRAwpd2Ljq9VK4nsJ9/GGDQaDcjLYbLZLUtn1\neo1sNivGBZZZvGlJhtAl73K5kEqlJCeaTCgD2JmncZXrWi1mBqMAkJ2XGC79f4xvtVgs+N3f/V2B\nkJj03m635QN++vQpPB4PCoWCDNCJx+Oi8wUg5ljuRjy2qVVg88UZH9xtdV1Ht9uV3Zy1K28KwzAQ\nCoXEo8jFdnh4iNlshkqlIrssiZdCoSCxsfQAMqSRr+0iEUNJZqPREP0IP5/1ei11fyQSwXq9Rj6f\nlxiGxWKBs7Mz0bgUCgUMh0OZgtvpdFCr1SRdaTAY4PDwUDLw1uu1jMAgucTv7nWva7WYCa15vV6Z\ntrpardDv99Hr9UThRYeyrut48uSJNCrValUWf7PZRLPZxGw2kwR6jnoYDAbo9XpYLpeo1+sAzskF\nSkSn06mI+pfLpUw25fxpjmTg8E2KcihCYrYFQ2lqtZrMHWQUVj6fF3qe8BthOr/fj1wuh7OzMwlS\nBCAWrVAohHw+j+l0KtoKDjSi2Ii1M8Nu2CMQmuTi43QpPn6tVsNyuZSkfAY8kjKnhIAacc7q5glz\nletaQXPdblfS4Cm8Zy1IZRe9emyCqEzjF7VcLsV8ydkhTNFknUn5JuEx4tLMkqOAnmqzP/uzP8PN\nmzelsWLcLlP4J5OJ1M2cbUIEoFQqSbJ8Pp/H7u6uRBWUy2WZoMoTwul04vj4WGxZxKQNw5BTh8J9\nyl1nsxnG4zEajQba7bYYU3O5HOLxuDB4RGAYS0AGks0x7VakwGnv4vAhOsGp075oAm40Gm8H9Fy8\n7Ha7hB/evHlTglISiYTMKSFExQ79wYMHmE6nuHPnDlRVRTwex+c//3nRC6uqir29Pezt7QGAfDHE\nbGlz4iTXyWSC0WiEW7duodVqST1rtVpl8DyDwWmMJYvGkoei/kAgAIvFIlG9X/jCF7BYLGCz2ZBM\nJhGNRuUGZRA5bf0mk0kEV3zf8Xhc3Dcsjbxer9TWZA8pZHrnnXdgGIY0nDS87u3t4b333pMmc2Nj\nA5qmSTOqqqrAmbxBORErlUqJu50eRTa2b0NgLlysvxKJBE5OTmTHYbCKy+WSBU+56Icffgiv1yu5\ncqenpzg7O4PX65XdsVwuo1arCRFis9nQaDQAQPDqSqUi6fbBYBCFQkG0FFy49NNxNPB8PkcoFBJI\najQaYWdnR2r/fr8vtDRwznD6/X5ks1lBFKivGI/H6Ha70HUd9+7dk3hceh8pSqJovt1ui/aZ5leq\nDBl8Q6wdOO8NOCelXC6jWCzKjcjPhG4ap9OJs7Mz0XirqiqnHxvG6XSKTCYjoiuGU17lulaLmePO\nDg4OsLe3JzYdMmfPnz+XcJf1ei3/jyHYtFwxmJBA/0UJI3FVAGK9Z/RUv9+XnYbjwjweDw4ODkRj\nbbVacXZ2Jk1krVZDPB4XAdDx8bFkTlD0RAd1rVZDrVYT10w+nxcUxul0yjFPkQ+H3qxWKxwdHaFc\nLsuUVe7qjNsi9HcxXIZzDKlb4XzCyWQiZYnFYpGsDeZSc1GrqoqXL1/KaVKtVqWUWa1WaDQaKBQK\n6Pf7Qt1f5bpWNTMpW5vNhrOzM3H9khb+hV/4BYlYJcZLS5PH40EqlQIAHB8fCxXLY5Y1bjQaFa0D\nm0IaTZkFx+aGOuV3331XBkl2u11sb2/j8PAQuVwOd+7cwcuXL5HNZmXeB61KzOoggcFRxXTChMNh\nafhY5wYCAaG7Cf01m03cunULjUYDDocDW1tbElAzmUxw8+ZNsWVRQ71YLJDJZGTMMo2zJFrcbjf8\nfr8I6ymBJc7MyNxMJiM3GrFlirRYc1NPAwB/9Vd/9drf/7VazPyCAAjiQG0EXdDUKjCSi116r9eD\nz+dDvV4XbJQNJZVkw+EQw+FQxjSwSSQZ0m63ZSYg0/UXiwUqlYpkdZByp0KPdXQ+n5dxCkRKKDxi\ngmir1RIyp9VqyQChVqslC4mjH6jKG41GKBaL2NzchMlkEhKl0+lcYuqoFmw0GjLtlWo2lhsUDjmd\nTgkPJyZP0wPnCc5mM9RqNcGsq9Wq3FgARB8D/Dg1dDweX+n7v1ZlhtfrhWEYQooAELaOXTU/dMJJ\njL/iImcsFus6Cvu5g9AadHHsA1N66ARhtgSz6OiqoG6CyAfrRJpSiX+T4CEdTe8c/YgApAShPprJ\nQbwBer2ePD4TUCnx5ONejOHt9/uXyin2Fsy5YF0MnDe5xNEpKeX4NFL7JF2YcsoShcmjfr9fSCc2\no2/p7AtXPp+HYRhyxIbDYclEowCJaAfhNuDH0tH5fI5kMimIw/b2tjRQ1WpVspNp8eGRzClPZPIo\npGfKZrVaRb1eFwz64OBA0BRS5P1+H3a7Haenp1Izq6oqxANd1s+fP8fBwYEsZir5eJOs12vs7+9L\nxCxxY07d0jQNtVpNfH4sWS6eIEQtyPA1m03k83kEg0H0+31sbGxIVDB9hKTMSbxwI6CICoCI+Dud\njkSSES8fDoc4Pj6+0vd/rcqMbDYr0FupVMJisZAoAArKWZtNp1Msl0upNznfw2KxoFwuY3t7G51O\nRwgPzgcMh8Oye3NqKScmud1u+X0KkkwmEx48eIBcLifYbzabxYsXLwBAdtubN28CgCzKg4MDaJqG\nO3fuoNlsSt4xg84phmKaEWFETdPwxS9+EScnJ3LDWiwWiT5YLpdIpVKXBksyTejGjRuo1WryfiqV\nCrLZLBqNhhA0LpdLCCHe9BsbG5LrQadMLpeTGz6RSFyaheLz+YTc4qajKApu376N73znO6/9/V+r\nxUzT6Gg0ws2bN2W4JDFYhh4Sp2Xjx1RNqti+/OUvXzK1MvqKRyqd2Ryyzi+R5lLGupJkGQwGUrcz\nRsDtdiOVSkmjBUAyLKxWK+7fvy8qQE5TpaieTpLVaoVUKiUjlEmH53I50SdPJhMZLq+qKmKxmCQW\nUU3H8oE0Nhc4zar0U7KeZ+NnGAa8Xu8llpGqxI2NDQlUZNnH98cJASR8SPaQCn/d61otZgBCXfPD\nyufzuHHjBp49ewafzyeeO2ZA5PN53L17FwBwdHQkKZxMQcpkMhiNRkilUmg2mzJplWMOMpmMDLBk\nTobX6xUfXjQaxenpqZAZlFFWq1WxQtXrdWEuB4OBjJKgXgM437HL5bLkJNfrdRH3cN4IAJlv4vF4\nRILZ7/elxqcvkjoNUtMUP7GM0jQNP/jBD3Dz5k2h6UOhEEqlkuiiOV6OJxFnZTscDpRKJdGxkLpn\nw8dm9y/+4i+QSqWENudp9brXtVrMgUBARPjEkblTkDHL5/PQNE0cIz6fTySWsVgMzWYTiURCnNjR\naFQICtLTi8UCkUhE/IYWiwVbW1vi8ubgRu7ioVBIbiSOLPP7/UKnMwaBijcOn+eQyovyUWK2Ozs7\nsiBjsRhevnwpJ8Lt27elAWM5Qe9iLBZDLpdDOp0WMoXZdgyUofz0/v37MJlMQjYtl0sJPGezerG8\nYcgM2VE2pZTjEl+m129zcxM2m02mxfKEet3rWjWAF8MJg8Gg1GSr1QrxeFx2QNbJDBnkbBIuPIac\n0BVBOxFNmOPxWBIvKbfkUKCLORdMMGKICwdk0p1MfBqANKZer1coeEJfxKuj0SgcDofMGnG73dLA\n+f1+gREZpEisG8ClkW7vvfeeCPndbre4wTVNExSDNwazLjRNw8bGBnw+H9555x3E43FprAlRMp/D\nbrcLle9yubC9vS2oEV//bDZDNpuVuYOBQEAkAa97XavFzN0DOC832u227GzEoLloGa/V6XRk5t1s\nNsNsNkMul5Nalzg05/Qx8YcKL5IEq9VKfk7pJ5NDya5R08Fxv/TDkV2j+P1iMpGiKKJEs9lsooku\nlUrC2AEQGahhGPL3uTPSB0mamTsrcI7NE1lgiUMTA3PnWPJwnBtDXwhB8vMDICZfMpcOh0PKHAbM\nDIdDzGYzOX14IrBUet3rWpUZDodDZjAXCgUEAgGpTUmdcmcFIEQE4SjivdVqFTdu3JB8t9FohFAo\nJNQrmbbj42PJVpvP53jx4oWMLeOIhWw2i48//hg3b97EaDSSDp8RBxxaTxMudRgWiwW5XE6cJnQ1\nEwmg/467f7ValezmRqMBn88nQ4esViseP34s4qOLcQesV5kNQudJOBzGixcvcOvWLamz1+s1KpUK\n7ty5AwAy4o2qOo4/I4O5s7ODDz/8UNAMEiiDwQA+nw8nJycolUrisKGc9nWva7UzD4dDxGIxgaIo\n0Kf+wul0iheQx6/H4xHBeSwWE3WXw+GQbAqyeszgIImQyWQkItbhcGBjYwN2ux2JREIym8fjMdLp\ntAyOZCNmt9vFrGqz2SRgnHnRrNdJPCiKIuTH9va2zMter9cSCAlAAiOpAGQCPnsIlgekqvk50Huo\nKMqlYHMK+4mY+Hw+wYqZthoIBLBYLC7NDySUmclkLvUlpOhJbxN14ed8letaLWZqhRl8clFj7HA4\nEA6HcffuXdnpvv71r+PFixfSXPEL59/d3t6WCazPnz+XLGLOiWbKPFVnHLfQ7/dlpAIDwxlGbjKZ\nEAgEkEgkhJpm+cPRYiyLdF0XmSjpcvrx3n33XcnQcLlciEQi2NnZkRqa7B6jCbi4xuMxVFUVCnw0\nGmFzc1OylcnIseS66CKnu4YL+otf/KIYIO7evQvDMGSHppyVtLzD4UAsFhMaezAYIJlMCmxK7+RV\nrmu3mDksnblubMbIVp2cnAiM9Du/8zvSsTscDmn0qG57+vSpTIn67Gc/i/V6Da/XK8J0UuZU1tG5\nzLwJDuBhPgZdK4qiIJ/PS6O2Wq1E6EQNM4MMiaIwXouumMePH0sJslgsUC6XxWHOHDdGDnBUMmN2\n6dEjRX94eCi0PN04F6WbDIqs1WoSx2u32/Hw4UOEw2EJnAQgWpXxeCz5cV6vF/P5HNVqVXZ9pqrS\ndMu5Kle5rtVipsKMNSE7eLJq/X5ffsaGZ7VaSQI+pZsAhOigOu3p06eCKFD1xWGYTqdThEntdhvD\n4RAAZNwC8V2GwLAhm81mWCwWwpaxGaVnzjAMcWdQ4wD8WFA1n89xcnIionqO/3358qUM4Wk0GjCb\nzQiHw7BardIQE5HhTTedTmVoD08aNop8LjZ1HBwfi8Uk3ovzCAHIeGbe5LRWsV6v1WoSKcxcDeqk\nr3Jdq8V8MZ3T6/XKFKaLugVCciaTSUYHZ7NZ6eAJ7VFZxgRQ1qs0krL+pD7jYs4Gm0WWOBe1yYw6\nYEnD2SuEyWaz2aVwFr/fL4IiLmafzyejzliLspxhOj5PJeBcGnt8fHxJa8zyhK+dsb4U2XMsBgNi\nFosFksmk4MK0hlE2qqqqSAYURREFIeE6mlXJ9nHYJwDs7OzITn6V61otZkJoJpMJ3/3ud8X/RmF7\nr9fD2dkZcrkcDMPAxx9/LJFcFOZTCMTjtlQqoVqtinlTURQR2p+enkodPRqN0Gw2pVkiccPxxWxu\nCHfVajVxKr98+VLeQygUEsr78PBQhj5SvEP9NTMwLBYLFosFjo6OJAjxyZMnUtPzPft8PokzsNvt\nYv7t9XrY399HvV5HLpeTkcI0InCQka7rODg4EPaQPj6iHMys43tyOp1y+i0WCxQKBei6jlarhXw+\nLyeRYRg4OjpCs9mUPLvXva5VpO03vvENAOeoxmKxQCqVwmg0QiAQkKHrmqbJh2i1WtHv9xGJROTI\nj8ViqFQqCAQCqNVqSCQSaLfbCIVCcLlcODk5kbhYHsG6rl9iz+je0HVdEoiAH4fQsAHlbl+r1aAo\nCrxeLwqFAnZ3d6EoClqtlkTvskzhjMLxeIzbt2+jUqkgmUyiWCxKvkWv1xOpJYfqkATh+7fZbPB6\nvYKIUIP86rNEIBDAeDyWnZgpTqxrecoBEKkrB3ayvGDqkdvtliE89EISdalWqxJa0+v1rjTT5Frt\nzMWIwIUAACAASURBVPzwmB3MLx+AfGDMauNR+vDhQ/T7fYTDYezs7GA6nUrGM0dGUNbInZb1KGWb\nTqcT0WhUnq9cLssOyFnWTBulmIfDNRmUyAZsY2MDg8EAlUoF3W5XalFOUiXURl1Fs9lEqVRCo9FA\nJpMR5u0nU/CZMLS1tSV2L6IZFBCREOFjhEIhSUelk5uqP5p5+dlQn00Eh8pCjm5jCcXanL0MCSwO\nPbrKda0WM+flLZdLsSExSYhlgt/vRzKZlKC+nZ0d+XtMsOe8kHg8LtJLkh1utxuZTEbqTSIjpVJJ\nglWYt8bSgNroiwlErG25Q1HYTgUelWqcnzKbzVCv1wWTdblcCIVCoi3e29sTXyEDYJgdnUwmJeiG\nC8nv9yMej0NRFESjUamhfT4fotGowHfUlXC8BCdUcb4KNSCksdmfMPOagemhUAiBQAAAZEIAMWcA\ngthc5bpWDCDLi9FohCdPniCVSiH3ag51pVKRBUlqmV8KVW8cTs6gFHb6xKnr9TpWqxVOT09hMplk\n5APrbe7ezNIg2cGGidOr6LrodDqIxWKCgrAWpdSUuzjw41xohh/+ZC5boVAQtIV5eazN2+02dnZ2\nUC6Xpf5l0OJyucSzZ89EZcfdlKpC4LwMInxIlKfT6eDo6Ag+nw+NRkPCKjkOIp/P4zOf+Yy42uv1\nupyGVPNRW16pVMTCdpXrWu3MTqcT8XgcgUBA7niyetytaGciAXDjxg2MRiPcv38fiqLA7XZjc3NT\nsGoGJJJ4YNYzmUZKNPln1tAckh4IBODz+SS3gySJw+GQNNJqtQqv1yu6aVqskskkFosFEokEotEo\n7t69KzQ2d0/CgNRHc+fmc1MvQgMqJ7/y7xK9GY/HsFgsYp5lWTKZTATF4HvkwCOyp7RjMcaLMxXp\nqzQMA4qiIJVK4ebNmwiHw6LRps0rFApdOdHoWjWAX//612V+HTHe4XAoi6zT6UiUQCQSkWiqvb09\n1Go1mXGiqqrY+y8SFVxsbOyIWTN+gKybqqoCyVFcREvRYDCQnTeTyUiSEgNROGbhohEAgGRyAJCd\n0zAMaQY5NJMQGLXDtExxRATHyZGJYyQYE/07nY5kWVA3wosZ1tvb26L7oD2MiUoM2Dk8PJSGk0QL\n4Tev14tWq4V4PI6PP/4Y8XhcXN/f+ta33s40Ac4bQCIFAKRBymQyUmb4/X7k83mZiVcqlcTQWiqV\nEA6H8cknn+DGjRsoFotSa2cyGSiKgv39faTTaQDnx+/t27dxenoq5AZhOWZZ+Hw+CQgkKbO1tYVW\nqyWlAC1QnU5HRDt0ceTzefj9fvR6PXGJ0LKfyWTk98vlMhwOhwiRaFz1+/1CdDBat1gsyk5JzyLt\nWERyVFXFyckJdnZ2pNZutVoCUzJsZz6fS7AkMX6WKCx5Op2OSGbZfHP8BU/K4XCIv/3bv73S93+t\nyox33nlHpJN0h4zHY/j9foGsCoUCer0ebDYb0uk0bt26JfFRzH4gW8WOu9Vqwel0Qtd1Cd02m83i\nFOEX7HA4sLe3h0wmI/44nnyRSETkqUyMZ0onSRiOEKMYirU6GTaeDBw5RnsTUzQzmYzQ0ER06Ptj\n1pvZbJbH4/Pruo7T01OEQiE0Gg0RVHHXZ7QBm1SKmkqlkliuqtUqhsOhmCMo2OJ74aINh8Oiw7bZ\nbIKQ8Ma+ynWtFvNoNILdbsft27eh67qwcMPhEOPxGNvb24hGo8hms/L7T58+leOWOmEmcZIgoAOE\nWDM1vIvFQgaqr1Yr9Ho9Yc04IZZ5yPP5HLFYDGazGVtbW0ilUqhWq3A4HJLyQ2EP6WxqJGazmexy\nzMpgXVutVkWmms/n5fgn0cL4r1AohHQ6DV3XZUfmPwyQ6XQ6yGazItzXdR3j8VgGVM7nc0SjUTQa\nDek7mPO8sbEhs17G47GMcrtYj5Oh5fPSNEGChWaI172uVZlBRVs+n0ckEkEwGJRwQIvFglarJeId\nBsL4/X4oiiINXzqdFpaNkBaF+0RKmBxKZzUdHABET3FRNRYIBGT4OaOumOcxm83EgkVVWzQalbgv\nwnM0oNIdTSE/cE5X7+3twePxiNE0Go3KDcJkUgASGH4xuszhcAhuTNNsPB7H9vY2FEUR7yFPvAcP\nHiCfzws+bLPZRDDFBZpOpyVEh2OMiV+rqioumKOjI5mJ8tZpcuHiLLrBYIBEIiGEAcNRqBpjorvd\nbsfe3p4sFsZ70d3N0b4cEQGcL9ZEIiGa4VQqJdpn6ik2Nzehqira7baEG3JSLMkFm80m7g9KUFVV\nlUDGdDqNjY0NjMdjaJom6UO1Wk2GaVJcRLZuPB5L4A2tVByswxKHo9CIaVOboaoqRqMRNE0T/Jnl\nxI0bNyTqS1VViXFwOBzi2GE+CWtzNqScB1Ov10WZyJtmPp8jm83C5XIhHA7LHO/Xva7Vzsxhj5qm\nSaPW6/XEDa2qKnK5nEBrxDt7vR7u3bsnCjRFUfDkyRMoioJisSiDdZj1fHp6eilln/kUvV5P/j99\ndX6/H/v7+/D5fMjlcgLV8Yter9c4ODiQm4KZ0C9fvpR6neo1UsqcPciprjabTY7y1Wol+dOcsnV2\ndoYHDx5IrV8qleByuUTUVCgUYDKZkE6nRS7rcrlQLpehqqroNfx+PwqFguiQL0Z8UYlHRSFRDWpX\nFEURBKZcLosYi/R4PB6/smruWkFz3/rWt8QFTbiL+RX0nGmahmaziXA4LEA9gX6OSqP4vN1uIxqN\notvtioictTHtV/T/EaMmKzgejy/Nhma9SHiK0BTDvinKobOExA71HhwqxKaJ8B0AoYh5IwMQRo+D\nKtPptLB1hmHI9FWOgCAuzc/m/2fvTWIjTdMzsScYjGDs+75zX5JVWdndVdXVDbUgoaUWIMD2QbB9\nMDAwfPPBgiEImjnqMjB8kQUddDIaAx0MDGBpZB1aLVVD6pbVKk11rZlkMrnFvm+MIIOMYGw+sJ6n\ngpZkA0nMtETUDzQ6i5kMBuP//u973+d9Fopt+/2+DBOtVqvkaGyKWdOz5LJYLHC5XHjx4gVWVlYU\nmtTtdtFsNnVCVatVxGIxHBwciLvt8/nw27/9219xMwAo8anb7SoMnuy3RTvWwWCg3D1292z25vM5\njEajUA2WKhSeLvoQkzBDtl2/30e32xW7jg9Et9tFvV4Xx5pQFxtDAKrHFw1VCGfRQ48sOJqJ03OZ\nOyJPB4bVk5dC+ii1jFSvUE3CYB3ymLvdrnBu/u6cYM7nc8TjcSlISB0tFAryZl5aWpJXHh1Tyf/m\n58TPjIkGvH8PuR5VmcH8PRqJs2FhhgdZYAyeoXjVYrFgPp+jUqnAbrfj+PhYjSJwN13joq/X6+L/\nslHkhOvq6koEnXK5rHQnBkESCru5uZHzktVqVWaJ2+1Gs9kUt5lWYTRx5OIhlEfiExvMRqOBJ0+e\n4OTkRLs/3z+xbFJj2fhS7sXFvyhwYIlGSI+BQp988sk9X7nFPER6WxPbbrVaeP/99+FyuTQQms/n\nsFqtqFQqMmpcWlr6ajEvXtT8+Xw+PH/+XJozjk37/b4ytdfW1mRgyDhhGhXm83nFJdAEnMd6KBRC\nuVyW2XYoFFLOx3Q6lT6QtNJUKiWnHrPZrOO01WrJ5Pvk5EQDCL/fL7NCngCMKO73+9jY2MDl5SXy\n+TxWV1e1E/d6PU3m6KBEeufFxQW++c1vqoyhRjKXyyko02AwCJEYDAYapWezWbkmVSoVGI1G+ekF\nAgGMRiMpdmiQw5OBGDRtvlKpFLLZrJxO+/0+vF6v3J9yudyD7v+jKjOq1ap25EQiIaql2WyW0plj\n3eFwiFgsJk0eFRtLS0vY3d2VDu/y8hLj8VhwV6FQ0FjZaDQqKm19fV0DjpubG43D6VZP7JY3mgwx\nxjqQgEPOBkWp1CNeX1/j3XfflQMpANXtVG3kcjk9SFdXV0ilUmK9MQAoEAig1Wqh1WpJSsWfSTst\np9OJTqej7JHz83OsrKyIXcif53A4pG+Mx+MajcdiMXQ6HfHAiYTQ0YibBi3PMpkMEokEvv71rz/o\n/j+qnZlukjQxJG7sdDrRbDYRCASwtLQkM+2vf/3r+L3f+z1873vfQ7/f140ol8uS0FNizykaSUP5\nfB7xeByJROIeMZ5DlWAwKDUGH6ZKpQIA4gHT0jYYDMpmgLU7c1BWV1fRbDZFZN/b25NaejabSVlN\n3jWZd6SbMkKZSQDME+dYvFqtIhKJSKS6uroqeiktgClrItxJJCIajaJSqWhgwkGIwWDAzs6OamHW\n/SzFrFarBjqJRAIGgwEul+vBCa2PajFzxEvcM5FI4ODgQAhHtVpFIpGQWvmv//qvcXFxoQV0e3ur\n3WM+n+OnP/0p1tfXtZsAdwuxUCiIRHR+fq5FzmleKpVS7shkMpFsi7vxaDQSsYcppcxFYYxEsVgU\nZmuxWPRQnZ2dod/va6o3GAyEP7Nc4I5Nf2oy05hJmM/nRS6irGtlZUU0VJKhWq0WvF6v8hHfeOMN\njEYjpNNpnJ6e4ujoCH6/X0Y6FxcX0lMeHx9rgbMBzGazWF1dRbVaVT/A/gbAgx2NHlWZ4Xa7EQgE\n7imfGQlGEj1r0EQigZubGzx79kxNT7fbRTweV5fPiRv9nUnhpIcdWWNckGTXkWhEwxia0jDPLxQK\nyRaBDkQczpAjQggNuPPQoxuR0+nE+vq6kBgS6jOZjDzq7HY77Ha7FjEpoNQ0kqq5vLyMZDKpBpY+\nHlarVTAdhaypVEqec8+fP4fdbleNHQ6HMRwOJd/qdDry0qPRIjNlaJDDptTj8Sj+Ymtr60H3/1Et\n5larJaiMHyitZ6m8praOuwCJ4TQ+zGaz99AQBlAyzIfjYZLyLy8vUSqVhBww+4OjZO5ANzc3aDQa\nSjbl2NhoNKq2pvi2XC7j/Pz8nkh2Mpng6OgIo9EI5XJZkn2qoOlHxwg1ohHX19figFBGRYiNjSQN\nZgaDgWLTFk84+tqRA12r1XQ63dzcKFGKjfJ0OkW321XaADeTfr8v1hwbZnqL3N7e4qc//emD7v+j\nKjOoPWMEwng8VvY0rVdpMUA+MY1ZKFUymUzI5/OiQTKhlAMCaveY/+f1etUI0nSQuyfVF5ubm+Jl\ncNTLJCzu2g6HQ1Fku7u7SKfTODs7Uz27tLSEJ0+eyDO63+8jGo1KEU03ImZ4MzWAUjCeFJRD8YRg\nzHEkEpG7Pl2NAoGAfEKAuxOCJwdfkyHwlHuxTn/y5Il6Ao76Kczl570IGXo8Huzv7+PHP/7xa9//\nR7Uzc9pGT2AAWFtbg8fjkT6PcBERD5YfVBVbLBY8ffpU3nHtdhvxeFxTMgo7eYTTrd7hcEhEy12d\n/A36qBEXpoKbRCP6UrCpy2azaDabKl+i0SgcDodISdPpFHt7e+Is076WCpJWqyW5FnV4tOWiiyjp\nq6PRSPKli4sLNceTyQTRaFTWvNPpFKurq8LAl5aWZDlG/2W/3w+XywWTySTlDADxOOh5R19nTkBD\noZAcjh5yParFTMcdyp3MZjNqtZoMSrrdriTxjUYDn3/+uaZ9i9a35D189NFHikVg3Tyfz/UAMAeQ\nWHa73ZYBOTkf3InYWLHM4f/oRkRVNHdS2oItLS3p4by4uJAq/Pj4WOWRy+XS1I6EKe5+zEAslUqa\nkLInWFSqMHyHsCLLBv6OzDShjIyjfzbOzWYTJycnmprm83n5i9Btlb8bdZS8Z/V6HdfX11+5gC5e\nHMlS2UAVBg2z6dc8n8+xvr6ORqOBjz/+WDesXq/fI/CQSUbrVyYnEbdttVqCxFiDz+dznJ2dKU11\neXlZN5mqEu5YbC65yMm9uL29lTEKPZhLpZJsb0ejEarVKgDcy22h1xxr0o8++gjZbFZlwnw+R61W\nk2av0+losPLixYt7UivgrqzodrsSLZDeenJycm+BM6+EZQNJ+q1WS/ZjRGpqtRqazabIXzS0oRPr\nQ65HtZiZn0FF9Xw+1wIlr4KKB8qQ1tbWMBgMxNug1eyibJ6dPxdRoVDQkUj4jP5qREuoEuGxCkD2\nWmSmkQtxe3t7L/GVpwPN0AEoQ7vb7crl/vLyEs1mU80nQ4goHiDxiTtot9vVJJFHPrPF6RNCxTkb\naUKXbK5Zo3Msv7KyIq4I7c4MBoM+Dy5QnobcTMhbuby8xNramsI4H3I9qgbQ7/dLjUweMXVxhI48\nHo9y8DweD3Z2dhRvRhGq1+tFMBhEOBzG6empMkuYyrq8vCz4y+12C9q7uLhANBrF5eUlMpmM7KYy\nX8QQEwlwOp3ySaZ6gw9SMpmU+/ze3h4ODw8Ri8XQarWwv7+vBNlAIACn04l6vS4FNAlKNpsNLpcL\nkUgEVqsVn332GWKx2L1m1eFwCFKjeJX1Kwc+a2tr4o6k02nZ/NJWN51Oi4uytraGXq+H1dVVQYGt\nVguxWAyJRAKtVgubm5sK2mw0GvjlX/5l/OAHP8B0OsXOzg6cTid+9rOfvfb9f1QU0N/8zd/UsXh8\nfCzSzfb2tthlhJii0aiErbSNslgs6Ha7ODk5wRtvvCH3916vB6fTKUUF4xs4GeQRzOOVmdCLlrcM\nvATumtLDw0OF5JDIw9oagOBE4tRkwIXDYRgMBlSrVQXIE4fmQ8UkVKYGXF1dYX19XTUwgzY3Nzfx\n6tUrAHcPAO26mHf42Wef4c033xTDr1AoyMe52WwikUjA4/Gg2+1qOEKrhOPjYyEs9KxmrszKyopE\nwjSlcTgcKBaL+NM//dOv1NnA3Q3xer2o1+vaBb7xjW8gFouJMONwOMT9/Y3f+A380R/9ETKZjPSD\ndAl1OBz4pV/6JTQaDaTTaVl/XV1dIZPJoFqtSnXSbrdhMBg0uiZhiOUKUQh6ylmtVuzv74tFR7UG\nc0TsdrvKH7fbjUqlIppmJBJBv9/Ht7/9bZVPe3t7aDQaKj04zGFgD2mYVHzf3NzIsZ7QGkk/HH0z\nu48PyHQ6xZMnT5DNZhEKhTAej7G/v696mFNPcrf39/cxmUzkgBoOh+9lKrrdbsnFVlZWpCd8yPWo\nFjO5zIwF3t3dxYsXLwDcBcdUq1WkUikFNf7kJz/BYDBAuVyWf1s8Hhd984MPPkA8Hsfx8TE2NzdF\nMG80GlJG0K6KTpfJZBLxeBxnZ2dihxGB4Eh7Mpng4OBARueVSgWxWEw1LP2Xy+WyXIdYw5+cnGB5\neRn5fF5EqVKphH6/j62tLdW1FxcXop7Sl5puRByGMJCSRzuFCLTK+uSTT7C+vq6fFw6H0Wq19Bof\nfPCB8kqIQbPefv78Ofb29hQiz82CfBDW+7RmuLq6wqeffvqg+/+oGkBygknYYe3IuAT6FlMpXC6X\nJRh9++234fP50O/3FZHAhi7zRQb1fD6X2xH1fLQIsNlseOedd7CysqLIXr/fj3Q6LX0crQSMRiMy\nmYxsb2liyAxv5gASv6bmkCN2NqSEE5lexXzCWq2GeDwuFUy/31cAJiVP8XhcwfTsNdLptAYpAFTy\n8DObTCYaxbNnYELVovnhZDLB22+/rTSAxRwZpnft7+/DZrPJWNLr9crf+XWvR7WYF6GinZ0dkdnJ\nXlsUktLIm01To9EQPTMYDMLlcmFjYwNerxflclnSIGZkL+r+GEhDp3qGXzLugTtWKBQCAJUBxF23\nt7dxc3Mjh3kA2NzchMlkkscdx9qMKeNr0PJg0Td6e3tbam9yJ7gzDgYDCW/JPQG+FAMzr5ClCNU6\nVKDQyZQIkN/vFxUAgEze2+22ZGNUyVCixaRX4C5dIBqNKhb5IdejWszU9Q2HQ3S7XQCQEw9H0Pl8\nHs1m8x5mTPiJ/hOExg4PD3UzFj3VOLXjpI96PUr4J5OJyoxFI0TyIsh+I4Zcr9dF9KGmrtFoiFvB\nQQ+taPv9vqBE4tSE9MijJixpNBoVIsQ0WYpKyQOhAIGnGndhui4tfpZseBkeNB6Ppf0zmUxy/a/V\nalrAnMz6/X4hOuRxUK1Dn5KHXI+qZp7NZojFYlhaWhIzK5lMIplMCsyPxWJSiAwGAxQKBZkaUmtH\nVyIqV2hGSF8KAHLuIRY9mUyws7Mjgj8HEIT5iFfzwfB6vYjFYsK+DQYDUqmUSEgXFxfY2NgAADV9\n5CEDwJtvvimVCL9G+RLH6E+fPhVRiKlR0WhUZQgDNjnVo3qbO/Y3vvENmEwmlUp+v19ezIt2B4QJ\nR6MRIpGIpF38nWw2GzqdjhTewWBQJRAN14PBIFZWVvCTn/zkte//o1rMHDRwFEuzlV6vJ+yWH2Sr\n1YLT6VSOc7ValekKhy6cBtIqi1atXPz0U6vVarJ2pUcG3Y2CwaBU3STgU19ITsbFxYVqzmKxiL29\nPUSjUTSbTXQ6HY2cS6WSsPCjoyMkEgkR9fk7U33On0FyUT6fh9vtRi6Xg9lsvmeHxYkhR/acmLKW\npyNppVJRnc/MbWoAyRFn6USzce7ALENoTMnXpUSLtIKHXI+qzOAO4fP5YLFYxFnmxUWczWYlvmSZ\nQMNvp9OJ4+NjSYAsFosolNw1CS/x6GZQZbvdlvFKuVxGJpPReBmA6k5OIGmE4nA4sLa2hkAggJ2d\nHblvcrLXbDblnETrWtapXDA2mw1ra2twu933vOn4bzY3N3F1dSVCUqVSuccZ4fCkWCzKe4/1Nf07\nGHVBshaNGInBEyun2ICDGrfbjdlsJhnXeDyWEIBTS+BfIDnfYDAkDQbDXxkMhgODwfDCYDD8T198\n3WcwGP7SYDAcGwyGvzAYDJ6F7/k3BoPhxGAwHBkMhl/9p16bdSMXCWMaOE6mm9HGxgbMZjPi8Tia\nzaZU1CsrKygUCjIJNxqN0sExooDUULLhms0mQqGQpnckLXE34nHKhFhi2H6/H4VCQcw1RjkQ8SiX\ny4qYoPKZBJ/JZCLiPyeH3A0HgwEymYyaPyqo6WfBppK+cBxDE6HIZDKSRxEPJkGJ7kqLKawcXZM1\nSPX7YlyF1WrV+yX2TIkaHzqLxSIPwNe9fh5lxhjA/zyfzz81GAwOAB8ZDIa/BPDfA/jL+Xz+vxoM\nht8B8K8B/GuDwbAH4L8BsAcgDuB9g8GwNZ/P/4Ez9e3tLYLBIFqtlhZbt9tFIpG4F25JP+VOpyNb\nK4L3Ho8Hp6enagRJdKcZIgBZurKB5Gv0+31cXV0hkUiorrTb7SgUCoLBhsOhFl0kEhEPmpO08/Nz\niU/J3+DAhikAsVhM7krMB6R1gslkQqlUkqSKooJSqYR2u60UAS484M6yy2w2o9FooFwuYzweCyMm\nGkS3fe7MfF+xWAzT6RS5XE7OT2woAQiqm06nsugisnJ6eipP6PF4rGDM173+s+/M8/m8Np/PP/3i\nz1cAXuJukf4XAP7dF//s3wH4r774838J4P+Yz+fj+XyeA3AK4J1/7LUX+QXlclnNVq/XU11IMSVN\nFXmM0juj2WwC+JIMdHNzI8YdvSqYFEXkhMoU7py3t7caFpDHSx+5+XwOp9Op98t/Wy6XNf2bTqf6\nb6YxcYGQj8EdkdRPADqBWNfyAer1enIkqtVqKqn4sNLei/YAJFXd3NyItGSxWGS2SBah2+0W25Bw\nIdESfjbAlwY67F/m87mwa46/6dH8kOvn2gAaDIYMgGcA/h5AeD6fk9BaBxD+4s8xAIsu1CXcLf5/\ncLGLn8/n2NzcxHA4RCqVklKZKVJer1e7IXcLhpmT9UaOMF8zEAjA4XDg7OxMcB71hhyEkKlntVrl\nHXd5eYlvfvObikQAoJExSe7hcFjDA7PZjNXVVSEHPp9PO1skEkEwGES329W4mp4diyVBMBgULk5H\nf1rzUoKVy+WQSCRUgvBUYh08m82wtbUlvjWpqUQdaEVLC2GauZB4tLGxAbvdLqNELnRuBGazGcFg\nEO12W7503/rWt/BXf/VXr72efm4N4Bclxv8J4Dfn8/nl4t/N70ZP/18MqH/079jscSchl8LhcMjQ\nhOR9h8MhMxhmBrbbbfj9foTDYXXwhJNYlgSDQeHJ5DuTgE+iPnP3GNLTbrflSkSXJZqfE9NmZBux\n6FqtphKCBB5yRAiPAVDOISeDoVAIhUJBJQRppDy1eMq4XC7t9AaDQYGgjICgfnE4HEoqRqEAHZWG\nwyFms5lI/Uzgury8VMDRzc0NKpWKsGbGdHD3rtVqmnbSiuF1r5/LYjYYDCbcLeQ/ms/n/+GLL9cN\nBkPki7+PAmh88fUygOTCtye++No/uD7++GP8+Mc/xt///d/j/PxcNSvrvFQqpVByGmm/fPlSdSZz\nTjhsKJfLkuRTjcGdvVarYT6f66FhA+V0OpHJZNDtdpFMJrVIybdgI0hZFXcvLm6n06lcwevra+22\n0+kU+Xwefr9frzebzTRtI/OOMq/FqGGiO1TceL1e6RrJX2b5wBRV2oqxZuaOTliNfBEOZejLwclh\ns9mUH14ymRRzLp/PC4NnQ3h4eIj3338fZ2dnD1pXPw80wwDgfwdwOJ/P/7eFv/q/APyrL/78rwD8\nh4Wv/7cGg8FsMBhWAWwC+I//2Gt/97vfxXe/+1289957WF9fh9ls1iJi88JO2mazyRibPAfu1vRi\n406zmHe9tbWlv6f1AO2uAGiqxbJhEYaLRqMAIJsANmyEqzj2Zh0diUQ0YGF+YK1WE8JC+wE6CwEQ\n8uL1esVUYxwFvfZ4wiya5ZAlxwUKQDAe/ZoXp30MBeLCpIKdOYRut1tYP/+O6AYHKhcXF0in03jj\njTfwne98B0+fPn3Q2vp51MzfBvDfAfjcYDB88sXX/g2A/wXAvzcYDP8DgByA/xoA5vP5ocFg+PcA\nDgFMAPyP83+ChE2CD8lCzL6LxWI4Pj7WzVp06WT07qIxCy24SL1kWVEqlaRqZijPs2fP5BTE8oaW\nVUajEcFgUDYATLciU44LL5vNIhaLoVgsyqX/9vYWR0dH2rEZJ7G0tAS73Y6joyNsbW3BaDSi3++j\n0WgIFiOB//LyUlyLdrstLnGv1xNJ6fb2Fp1OR/TXUqmkB+Gzzz7D6uoqyuUyms2mpojkbpBkJGAf\ntwAAIABJREFUXy6X0Wq1RA01Go3I5XLY2dnRiJoUVZ6CPp9PbMF+v4+VlRV89NFHD1pY/9kX83w+\n/7/xT58I3/0nvuffAvi3/3+vzc6aRnzdblflBN2GLBYL/H6/HOpZNnzxc9DpdODxeKTTMxgMSlIl\n2M9BwKKUyOFwCJpjfVqtVvHkyRMpM2j8wikep2wulwu5XE71Mz3xms2mLGd5qjCmjNNDmpFT3Gq3\n2xWISSOWZrMppTb9NJjbMh6P4XQ6sb29jfPzc/UX19fXSpCiqQ6RGVokMJNwOp2K9ERONi1sGTFM\nl9HFnZxCXkJ9RGNe93pUSpMvMuRgt9txcnIiHJdcB8JmDKW5uLhALpfDG2+8IViMOrV4PI6joyO8\n8cYb8mVjx06Xei5Gj8cjKI35KXTr4QImf6LVakkBs7y8jFQqhVKppHqUjLJ2u63kKdqF0dHIbDbj\n9PRU3iDX19f3FBvMRqGNVy6XwzvvvHNPZZ7NZrGzs4OjoyNJwTKZjFKnaMtFBIh+dhaLBePxGKPR\nCLFYTIgNfTQ4STw4OBAcaLPZcHZ2hlQqJToscxqbzabq7ouLC/z+7//+V2bjACT5pwMPdydip/1+\nX9Mr8mrJfONCDYVCwllJPL+9vdUOmM/ncXFxcU+Kz0aRr8shS7FYxM3NjRYrORg87imGpZXA5eUl\nTk9PFVlMKI/KZUZEMMlpNpvptQAIxisUCvKKBiAfOT4UXJw8SQjd1Wo1ABDfYjqdypKApCsGeZJF\nyH/Pet5qtUroenV1hYuLC+HHZN1xQ6G9AAn95G+87vWoFrPT6YTT6YTb7QYADS0WrQO4s3HETM4F\nORaTyQT9fl8LmiJQk8mE29tbPH36VFl2dDsKBALaOROJBCwWi2J6rVYrdnd3MZ1OJUsKhUK4ublB\nsViUupkB7NTVUXVNSyxi4LSoJRLAnZtj7mAwiF/7tV9Tbgo1f4twGxtg4O4B4AApnU4jEAiIuE/H\nVPKSKcliY8vmjs0o4xy4oMPhMJaWlhSLlk6n5S1HPz3SUxfzBV/3elSsOTLM+EFarVa8ePECb7/9\ntuq509NT3N7eIhQKCRajYplw1+3trVwtg8HgPTfNSqWi0oUBkJTtLy0toVQqCYWgK+bh4aF+PgDk\ncjkd6yyLzs7ONP3jjSUXmqPpVqslGI0m3zzaiV3P53P8+Z//uXR9jL148eLFvTSoRYst7qyLHnZv\nvvkmCoUCCoWCnPTtdjtyuZyQELIQ6SGXyWTkMc1BD6eshOqonVxeXsbBwYEyWtrt9r88aO4/5cVd\nmbvd5eWlrJ84cuYY1e12i1REz2LyoGnFCtx14fSlowplNptJ0c1deXl5GePxGLPZTCgIEQ42eTRs\nXPTR6Ha7oqNykdJmy2Kx6Huur6+VOEvaJ49yOp1SGNtsNjXm9ng8aLVaWF1dVRA8ADWCTKdiL8Df\nbdFnhEw4CgQikYiwZdolENlYWlrS5HUx74VOo6Tccgp4fX2NZrMpIfFDrke1mBknzKxqZpBw5yTX\nFgDy+TysViuq1apyOrgQer2ejm3CdoVCAcPhEMfHx3C5XFJqAFB9SmUIxavdbleK7H6/r52Xk0Bq\n5yKRiFQZtBXgzsdGtV6vo1AoKHCI3G1yT25ubnB+fi67A9bUDMM8PT2VmQtrfnIkWOIQ3+bwg2aI\nJFkxqKfX66kWprspkRUOkF69egWTyYRGo6EThaofg8GghpXcED5YD7ke1WJ2OBziBOfzeeGu1AXS\n9GQ0Ggle4k4VDofh8Xi0eMnl4BFLUSZdf0iSYRAjF+vy8jLS6TS8Xi/W1tbkl8yGyWKxiGnGq1qt\nqn5krC8XOuvpRCIBv9+PQCCgkEp6dxDm293dBQDEYjFRTVnDklttNps1+OFAhYobUmG50LhTj8dj\nxGIxTCaTe/0IbcrYQ7BkMxgMgjvj8biExDRD56kyHA7lnE/W4kOuR1UzM7z94uICm5ubiuH1+/2o\nVCqYTqdIpVJoNpuw2+1477338Ad/8Af42te+pskWiTlWqxXvvPMOXr58qeQmkmbi8TgajQYSiYQU\nGJwiUgnOCDHgDk1Ip9Pq3OfzOdLptP4tGyaqyvkQsflivQncuSP1+32Zs7hcLnFN2PRdX1+LTGUy\nmfQg0laWkWxUquzv7wv3ZV633++XPS/9OYLBIM7OzmSzsLu7i7OzM7mL0v3f5XJpgDIajeRnQoUL\nJ4hMAbPZbAiFQjg6OnrQ/X9Ui/no6Eg7R7lcxurqKlqtFoxGo3BncpgHgwFOTk6Qy+VQLpfV/Fmt\nVuTzeUQiERwdHaHZbKJer8s7jTed9TBrWDYy7Mi5OzmdTlSrVdWGtCe4vr6Wsz+TSVl78uexdiec\nyAUN3E07vV6vXqPT6eDs7ExpVUQx+v0+2u226m9yt/v9vtQkLKHoukQHVRKhaJyeTqfFua5UKjrp\nGo2GBL38jIvFItbX1++VVxzukILL5pnQX+6rtKkvL2aE0FOYQweaYpfLZfEFvF4v3n//fezv7+P2\n9lYeauTlWq1WHB4eaqoWiURgNBqRSqXQarU0FTMYDHC73VJTkHfALp/iTvJ22RBdXl7q/3u9ntyF\n5vM5otGodtbRaIRgMCgoiwoWckIoOuj3+0IZer2eFmG/39e42mKxqPSgb7PT6ZSZ+WAwuOdtPRwO\nBc8xQZZU03Q6rfE98CWSxJKMfBKbzSYHVd4jytGKxaI+AzIDH3I9qsVMLHaxM+aImLUa67PF3OdF\nX2fipotWUoxNYBLpdDqVdQEtBBZTT7lAyAF2u91yx2RmCJELvk9GCy+OsTn0WST+cFReq9VU1y7K\nmkjr5DSQfQObWQAKAaIFAut5ci46nY5EBPzdKO8iYYmRGre3tzAYDEry4i7carWUo0jvjX6/j2q1\nKq9sDrRcLpfEwA+5HtVi5k5jNBrlzENne+KdrHsZWcAPlz4Qi65DjEQYjUbadbl7D4dDRKNRrK6u\nisLJGjcYDAIAXC6X3PLZ0NEAkQ+IyWTC6uqqyoVFqigHDMRrWTIBEDne5/NpQZCFRyd9vj4d+Umm\nL5VKGqhwcETIEcC9FAEmEbDfMBgM8Pl8Ut6QGMXGjzs7SxZyqAkjUg5mNpsRCoXUN9BQ5yHXo6qZ\nuZi4IGgcSEvaXC4nWT4XSTKZRDgcFkIxn88VDE/bK07alpeXxfaiTwSRDx6vS0tLKg04vaMqhLnY\nXNDkKtCrgm5FVH4Ph0NhuhcXF+IQB4NB1ZnkYBPHpcqFtlxkxgF32dSJRAKZL+LNVlZW1Jh1u12k\n02nVwmx6J5OJmkFyukejkax70+m0jCdZKrHBY0m0u7srYQSnhBQMn56eIpFIwOVyYX9/H++///5r\n3/9HtZhJPTQajRpgEB1oNptCMcg5IPYM3CEhxKdbrZaQER6n3DkWw3rICiNaQNnT1dWVOvv19XVp\n9shj5uJvt9vaDdlw3d7eagfjrk5sl2YqwWBQNrvAndHMq1ev4PV6hZ3zQbq8vMTV1ZVQg3K5jHK5\njGQyqabs1atXKj2m0ykODg6wv7+Pg4MDRb7lcjmpz6mPJFpRqVRkcMOypdFo3HNIpQSt3+/rpGs2\nm2IQjkajB3kzA4+szCAHgEcaR7A0c6Fae7Hmo2cwFRgANDRgKI7b7dbomimwtJOiSpuDDE4OqQFc\nbABJdg+Hw/eO9dPTUxGU6H/MI5tQFk8IIghsasmRJueCVmMUCzCn8OnTp1KbJBIJDUfYfBkMBnQ6\nHR37w+EQ6+vrGu9HIhHRadnAcbHS29lgMIhzzQkpKZ/kX9DHg5g2zdWpmH/Q/X/Qd/8zu+r1um7S\neDxWZgenfixBaB3LnYSqCY6Db29v5dLT6XQ0bQMgGIvKDzLlaLXFUoKZ2awnCYsNBgMtbKIBDocD\nNzc393zyKIWiUeHNzQ0SiYRIRyylxuOxHtBOp6Nyh+Y2HHU3Go17sRDMxmYJwnCixei0brcreI/N\nLQDh6dQCknXIXXY+n6NSqYgeQASp0+nIuuHq6upeP8LS7CHXo1rMq6urMuErFAqIx+PodrsSnp6c\nnIjbTGJQuVxWXghDZkjcp2SoWq1KPcJdn6VFMpmEz+cTZk0G3vLyMtrtNpaXl5HL5RAIBDTZy+fz\n+PTTT5XNTZ3g9vY2AEj1QeyXRo/n5+caQ7Np5dSNPnuE5hi9TMrqzc0NyuUyrq6u0Ov1NKjhKdPt\ndoWjMw44l8uJy1KpVGA0GlGpVOByudDr9VAsFjV65/dQGADcOTidn58rANTj8SCZTOrnEvPm+2UC\n1etej2oxc7TKLp+7InkGZKPRZoAUS4582ZFPp1PdGIpJyW5j5C7DdBhFRhcfwmFUaJAHzCOYOYAu\nlwsABJ1R8LmIQrBJ5ciaDwqzwC8uLuSBQV4Fa1e+X5ZKixEThCT50LEJpfKaDkcUtVJDSaSHqhmW\nNnx9qkz4fii4pS/JYpQcSyzu8g6H46uAnsWLDDgGQVqtVni9XuVDUzbFiIXt7W1ZaNEgcTqdYnd3\nV8E+sVgMfr9fUz86hXLxcpchIkFaJRGBTqejE4N1Msn2HFkTuguFQuh0OkJh+CCwObTZbIjH42i3\n21hfX1dYJ5GJ2WymMX4qlZL9F1UxVKYTRuR4+dmzZ/eYbRzFv/nmm8Lb+VBsbGyI+01UwufzSYNI\njgZPJQYBjUYjJJNJXF9f69Qh1s3f8Tvf+c6DRtqPamfmolg0BqSQlFlzk8kE1WoVKysrEn6SqM/6\nstlsit98dXWFFy9eKEqBtSEneDabDYFAALPZTP4XhNeur6+RTCaRz+dVO3I8TfOWbreLUqkk/JhH\nOC14Wc+zVGJoJadqtVoNw+EQZ2dnsFgs8j4mw67Vasmckbss86zp8FSr1dBqtdRLcLyezWalsnn5\n8iUqlQqKxSLMZrNOJEKItFmgTpInEetwIjzz+VxlBZtdNqIP5TM/qp2ZsiiDwYBf/MVfxGg0QiKR\n0FHMJCUqKRgQ4/F4YDAYUKlUFJHgcrlUUqTTaXX8s9kMfr9fWjpOzajmsFqtOi5p5RWNRqXHI0uN\nzvoAsLGxoVEyd3oAGs1Tlu/3+3F5eSnTF7LOqFlcWlpSnDAALRxKtbjgWq0W4vG40BFCZ3t7e3j5\n8qUQG5PJhPF4rFhgmkuyWSVD8Pb2VsoVDof40DNjnBkqLGkcDge63S663S52d3c1KPrRj3702vf/\nUe3MrBcHgwFevnyJyWSCfD6P0WikepTYKLm+bI6o1DCZTKjVauLXEmpjmORgMEC1WhWiYDabtdNx\nvMtBhdPpFE+CyhMeszy2iRZwRM66nlg00RQGUXLH5+KgiTdtAhqNhnZrq9WKZDKpo547JbWMRFnI\nISE+zSB51sr8GSxLuBszEpkedQzbASBn/0gkcs+/j2Lfy8tLOBwORCIRTRNp4fu616NazDabTQuN\nOzQ7fTYtRqNRxoKRSAQABK+xCbJaraovibtypyYXgTwL7kR09+TpQJtaypMACDYbDAZot9sIh8Py\nsSDLjkcw1TKsX/l+2GQFg0HVrnQ74g7KB6RSqcjVkzAka1VafxHLrtVqaLfbSo4yGo3iT3BX5qCE\nggLCdW63W78r+RbkuBDy5AbCySVxbXKqCZE+5HpUi7larSLzRYrT4kKmTxp3NcafdbtdvHr1SkGY\n9E7j8GE0GiGXy2EwGKBer0sQC9xZBtBFs9frIR6PazzN5i4SiWgMzN2JCEgwGMT5+bkWJjFyRk1k\ns1mNmTkip/v+5eUlarUaKpWKVB5msxnFYhHNZlO7XjKZVK3Oh5hDDQAav3PHBCCjnMlkgu3tbcxm\nM2kBOdanxQKbw3q9Dq/XKzIVJ6GUgBEGZQjSbDZDLpeT+p2G7g+9HtViDgQC6qhp1kc4ik0Vechr\na2s4Pz/H1772tXvsr8lkgs8//1xYKamSvEksWRa5GYFAAPV6HblcDul0WlAf4S+6edJTw+FwoFKp\naAE8f/4cgUBAzD4OYDju5u54fX0tOihra5KHbm5uhDPTW/rs7Exyf4fDoV2f5CGy4BahOYpLDQYD\ncrmc/KYZFrpYlrEUInYPQPU0m2meCuTD8AFKp9PI5/OiDwD/Ap3z/1Ne9FJm3QxADphsqjqdDvL5\nvIy4Of6lbKfX62lnYQ1Zr9eVyX11dSXjQk7ygC9D3klIInuMN5blB2/YxcWF0I9FY3HW6eQqc2cn\nT5rSp1qtdi8QnsR2q9Uq6iaRgm63K5ISHy6WL6PRSGNq+twxQo2+ILlcThEWy8vLqNVqwuCJSjBo\nh9Af/7w4kaTqnbwWOjU5nU71Ig+5HtViJmC/qAJmDUlkgkaFBoMBmUxGpHpOo+jHTIk/m0Lu8GyK\n6LHhdDrVHFEzR0yaU0KbzaadnMMWppX6/X6EQiFxkFkaud1ukZJo+E1UgtnfixhyPB4XnXPRrXMx\nwJIPCG0S+HsyB8VqtQpa5GJfWVlBJBKBx+NR3AUxavIt+ACSB86SZXHQwywYNpGcUDIGmU6lD7ke\n1WKmspkCVlIeOW1j00YvYxoaTqdTPH36VDtHMpnUrpnP57GxsaE6k8aE5C9w0rWysoJ4PI5Op4O/\n/du/FTmJRB36UbB8oRSfEQtsCvP5vOREvLk+n08PBJOjiCgwB4WMuPF4LOSGxCXuzFyg9EOmap0O\nRDR6pH6PYoWLiwuN+DnoIJHeZDLds9alSxENxPl14uTkr3Dgwt7joQsZeGSLmbASox4YLk43eKo0\nqMW7vLzzOLfZbDg/P4fL5YLP5xNhfz6fIxgMyjKLRy89Meiwz5RShuPs7+9jNBopa4819NbWlhhm\n9OPg0IayKE4lSdjhkUyhbiQSQSaTEb+CqaYUsTJl1mQySenCXXE4HGpX93g8mnKSwcYdk4udu2oo\nFBJGzPqcDDtCkfTvo1BgUYzA7OzFv+dgyeVyweVyqcd5yPWoFjM9KiwWCzY2NhRxwBg1t9uNVCol\n9tnm5qZG4IlEAsAdPvorv/Ir8Pv92NnZQbfblQs8oTzuRExSpWNmIpEQwkHuBx8k4A6r5m5MI3KX\ny4VIJCIvC9bOJN7XajVEo1HM53O88847yOVyKJVKsv5iGP3a2ppKEWoBiWZQwUJLACI1LpdLll92\nu10cZ54w/Mw4rWSDabPZFNlM1Uk6ndbn4nK51PyxtHO5XMLLGbUcj8fRarUQDoeRyWTw1ltvPej+\nP6rFnE6nAUBUSx6pwN1Cr9fr0r2xI6cFVzabRbFYRCgUwocffohGo4FsNotEIiEuM0WiDI+nWTeP\n4mKxqB2zXC4r42QxCIgK5efPn2t3Go1GCIfDuLm5EbRGP7pgMIijoyO0222USqV7tgX8d9fX1ygU\nChIN0LTl5ORETk7T6RSlUkljeJZHNGphmXN5eYlisQiv14uPP/5YueOkbXLo0m63pWp3Op04OjpS\n6A/jhulD3ev1lAvOCaTH4xGpv9lsot1uI5vNPuj+PypL29/93d+V7dT19bWiFDKZDPL5PCaTCQKB\ngBxA7Xa7FjN1buQ3OJ1ODUwcDgeq1aqaMrphcuJF/jN5yYTlWLMuktSJUDC+12KxoNls6vuvrq7g\ncrng8Xhwfn6uOpdoCSeHALC7u6sRPYMvfT4fisWiIorZqLI8WCTIc3hEezK+7tXVFUKhkAzEq9Wq\n6ulF5IM7O8lG1WpVJjaMkgAg03OPx4NoNCrx6mQy0YLmfz/E0vZRcTMod7+9vdWxR8kSieLZbFZm\nKMCdlxwzoEm8r1arcLlcOD09RTQahcPhkGUtE1YdDgdarRYcDoekWOQEA5CZSiwWQzabFSRHXzoA\nGnszNoxDjX6/j1KpJDEo9YSLkWP9fh8vX76Ex+NRucOpIQW7FCYQ/uJAiIQs/v7Ly8vIZrMKJKLt\nFxtYckPoo8e+hIlbJCKtrq7KQ4PZJtPpVBpGk8mEo6MjTQHZILJpbbfbD7r/j2oxc7TK5CKHw4FU\nKiX/s5ubG0SjUUl/kskkPv30UxiNRglPWU7YbDZ84xvfQK/XkxyKI9xAIIBGo4FwOIxIJCJ8lLte\no9FAJpMRu45UTbpt0lOCdrQ+nw9Wq/Wec3w8HhfXl5Iqejqz/DAYDIIAidDw/dNf2mw2o9PpCKFg\no0dif6lU0o7LwREhtkwmoxqbdNVer4dUKoVsNov33nsP+XweJpMJOzs7Kh+oyqGo1Wg0IhqNij89\n/yLIMxgM4vj4WPfpK6+5hYv2ADTpo6UtfedOTk7QarVweHgIAPjhD3+IUqkkUhGbuXK5jMlkgr/7\nu7/DYDDAhx9+qAHIaDSSJRUX70cffYTb21s0m02VI8xVaTabcvHhBPLw8BA/+tGPZDrI3YxWs9Pp\nFCcnJ6jVauJg012oXq9jOp0qUctgMKBYLKJSqUiaxJ03l8uhVqvp3zIznM0gd8disags61KphEKh\ngMFggE6noxPi+fPnyGazyOVyqFaruL29xU9+8hMl4h4fH4tfMZvNcHp6KqaiyWTC+fk5Pv30U3FL\nSMI6PT1FuVzG8fHxg4lGj6pm/q3f+i34/X5Uq1UlONVqNaTTaU2zBoMBKpWKSOY8iuPxOA4PDxXs\nSAn/8vIyksmkGklK+GnISNir0+kgFouh2WxqBA7c2R8Ui0XBhoPBAPF4HIVCAdvb27i8vES5XIbJ\nZMLW1haazaZU4NPpFOHwXbbnYpYKoUVmllCAy1E5f+eXL1+K60FEAYC+32azyfOtVCphd3cX1WpV\naaxHR0dyZgKg9AE2tPxcV1ZW0Gg0sLm5iUKhoF6DJxjlWFar9Z4SZdHckZHNf/iHf/hVzQxAzDf6\nlq2trSnmloMJCjHPz88RCoXwZ3/2Z/jVX73LliedczQaaVGZTCZ17AT2uUszDy+fz8uHjUMW1pPE\nbkmyp46O2HYkElEA5tnZmWpdlkyFQkF1cbValYkiSyUiHL1eT6NkckKCwSAGgwGurq5E6uGEE4AG\nL9zhT09PtasPh0M10KSA7uzs6OuDwQD9fh8OhwMnJydwOp149eqVyplXr17pdTgm5/Tx5uYG/X4f\nT58+RS6X04T1q5p54VoMs+EukkqlFN3LuAOSyff29nB8fKwaFoD4DCTxl8tlDR/IxWWcmtlsVoNI\nhlgikcB4PL5ndsKMPnpnhEIh8Z/JQEskEiI00V6MMb0Oh0PvmYzAaDQqewNmsTBygegIcEe+mkwm\n8Hg8SnPl7ur1ehWvTHSHo3aiIA6HQykDrOlJed3b25PMazHLcDwe48033xS5iT+XsKjP58PGxoYG\nO8T4H1ozP6rFDEDTs9lsBofDgdwX0b80iInH4+j3+5jNZvjZz36GbDaLjY0NMdDy+bwWzuHhoeTv\n3F1MJpPCeqbTKc7Pz2E0GsW96PV6iEQimhAC0Gic3hKVSgWXl5dSf5MC6XQ61UCdnJwICiS+zZ/Z\n6XSkR2T4TTablVSJC3fR9bTRaAiiI5easioqSBjOyQXOJrHdbovlN5lMkEql0Gg0cHx8LN0im91n\nz55hPp/j5cuXiMViorVeXl6iWq0ilUqJOx0KhdDv9/Hxxx8jk8koIOh1r0e1mI1GI2KxmNhdixke\noVBIx7DX60U0GkWpVMLq6qqIRgys5Gu53W6B/JQj8Uin0npR7UFbLZKRKEeinIqOlxyVr66uiqcQ\niUQ0bjYYDNjd3RV5x2azKZ9veXkZq6urKicIjdFtiBNPwnckQFEpHo/Hpf+jqaPf70en00EkEkGt\nVpMsi7tzMpkUhOZwOMRNoR9dOp3W4qRCJRaL4fr6Gi6XC6urq8hmswiHw3A6nQiFQqLUXl5eSgWz\nvb2NH/zgB699/x8VmrG0tKQMkKOjI3Q6HRl8UzTKHYSRaAw05/96vR5evXqlWo+qZ5JyuIB4rNJU\nhhNFst4YbEPftcXwn3g8DqPRiGKxCI/Hg3w+L4I8hxilUgn9fh+5XA7n5+eo1+tSbVgsFiEq5JdQ\nrTEej9FoNDR1Ix86Go3CbDbj+PhYBCrgDs6s1+uaCpICS4HAbDYTmalQKOD29lbTRzLgms2mkgRI\nbT04OBDllcT+eDwuTPzk5ASz2Qyrq6sAvgysf9D9f9jy+ed1UYt3fX2N1dVV1WCcolGhTbmTx+NR\nPh6VETTwBqDdhznZvJE0bgFwT1VNpKPRaGhX5i5I6RbJ73a7HTabTYmnXEC8oYuOQaRu0g+j2Wwi\nEAiIUM9aepHuSrsrlky5XE7c4m63K4mVzWaTGyizXMj9ps0tveZWV1dRr9c13FmklfLzo0MqR/4c\ncdPgnPwT9gGVSgVms1lj9Ydcj6rMoGKZww1yeVkLkgvB0S5wl/8BQIOLarWKUCgkByPulG63G+Fw\nWIuFlgY8/umSD0BGMhx0UNHByRmhKA41aPfFGpsjdRLx2Rim02lJoviQ8Pgn14L6Pu6Uw+EQwWBQ\npQ2TV8nko0CBfGpaHTCHBAAGgwG2trZQKBSwuroqMevt7S1cLpdOFH6mJC3RNIecZWLwVMOT1ETF\nSjKZfND9f1Q7Mx2KqtWqMu2IGhiNRh17nELRfRK44w80Gg3tmJ1OR2UJd18ORrjD0MlnOp1qoEHV\nCh3xeTGfkKUKCfFUx3DHZpQaU2VZOnBnB+5OoFwuh/l8LnOY2WwmxGBRpe7xeNDr9bR4WeeSOVcq\nlSRoAKBShoJU5mMzP2Vxs/D5fIIvuVFwbtHtdlGpVKRdbLVaMkYcDu8yzk0mE8rlskbrvBevez2q\nndnn86mxuby8RCwWUxd+e3uL09NT0TgZ5P7ZZ58hlUrJ7op149ramkJziAxQ+Q18iVBQBV6r1dBs\nNuH3+xGPx1GtVmEwGLCxsYFyuYx6vQ6LxSICEtl1rFX584PBoFhr3OnoqcG8QJqb1+t1IQX5fB6p\nVOqeOWSz2USxWBTfArg7varVKsLhsCRdlUpF8WmMQ1tdXcXx8bHUJq9evUIymZSggQ9xLBbDYDBA\nLpdDJpNBsViEzWZDqVTSUIhCYpY4fB8vX76UqY3L5cKLFy8edP8f1c5M61faW5FTPJlx/k4sAAAg\nAElEQVRMZA1LRyNaxL777rvqwP1+P+x2O8rlsoSZRAVIKieLjgR07lwsH1ZXV7WjZTIZABCbjGUD\nv4fQG4/i9fV1OJ1ORCIRWCwW9Ho91bGkj8bjceG9NJ6hkU0ymZQZJG3CFqd8FMtmMhmZsNMujG6i\nbBgBaLdedCtiWP1in8FpH+0S3G43LBaLdmtO/KjmpnYxFAohlUqpnOEO/brXo9qZecROJhPs7++j\nXq9jf39fzkB2u10UxMlkgm9+85v44z/+Y2kBSREF7hZaMpnEaDTCW2+9JfdLq9WKUCgkMhLrXNa2\n5+fnSKVSCIfD6Pf7sFgsiEQi9wwVKRZg7ondbke321XtyiY1nU5LxUHlChEWwnPM7CbLzWazYX19\nHSsrK/D5fIq0oBiWvhf0ox6Px4ItOYnj0GZ3dxfxeBylUkmLlEMVDox6vR78fr8aYp6Oq6urGAwG\n8Hq9uLq6gt/v18Mci8XUuN7e3iIWi8FisWB3dxeffvrp69//hy+hfz4Xa1kAohrSI+Pi4gK1Wg3n\n5+ci2z9//lyj5m63i2KxiE6nI8X28fExjEYjyuWynHqcTqfIPBw9k9JIC9p6vS6XHgAapxM+A4Dz\n83PRK2u1mnZ82hcwJYr/hg8qFzZJ/IPBQO+fTqCkldI3r91uo9frodFooFKpSIFDbjUht4uLC0Ft\nV1dXOD8/v/d7sE4nS/CTTz7ReyP3hb1CPp8Xz3qxhON7orKGvPBarfaVCczixcbH5/NpFEu6ISdX\n4XD4Hjc4FotpzErVBhGBxeAZo9EoV1GLxaJjn/9N+iQlQMwCoSZvUTlNLzuiJGx8zGYz0uk03G63\nShjyiGns6PP5VNvSkZTHNodCHJ5wlG6327G1tYV0Oo1IJIJwOIxisSjeCrOyV1dXlfcHQNPPdrut\nE2tRyLu5uSmeRyAQuNeIcgEHAgH4fD54vV6dkORsUDLGrBj+jNe9HlWZQSVFpVJBtVrF+vq6uumr\nqyuVF8SiaQ5Oji5z6er1OhKJhAy6yc2gJIhqEDZdHF1zYEFYrVAoIBaLyfuNmC/pkZwu0ouOo2cS\nibi7UmnSarWwt7eHQqEg4hEZeqVSCclkEgaDQaw40kfL5TJOT08xHo+l2eMDSGcnn8+HbDaL8XiM\nk5MTvPPOOygUCkJV6MvB0HamyTJEk8iR2+3GxcWFNg265g8GAxwcHKgBTqfTODs7k41CMpnERx99\n9KD7/6gooL/zO78jWI27FfOoc7kcRqORSEI2mw3Pnj3D97//fXzrW9+ShJ4RBk6nE0+ePMHZ2Zls\nCxjKHovFZBBD6IuUTw5X2CCSief3+3W0cuelrIjTReBLc0EA8rCgkY3VasX6+rpIU2T4UY3O0oEB\nl5PJBEajEe12W+lQXq9XZUkymcTJyQmi0ahG53x4KJuixzSHJ8fHx1hfX0elUsHbb7+NXC6H6XQK\nv9+PVqslVh7jMGhKTlIRbQfo3lQqlRTddnh4iO9///uvTQF9VGUG67fr62usra0piqHX6wmQNxgM\nytOgyoFMLgpSDQYDQqGQambuqCwvSqWSeLjn5+cSyC7Gkd3c3AjDvbq6kvdwv98XdjwajcTjpWMm\nLWIZZUFGHSmnvV4PpVIJtVpNUivi2s1mE+FwWDERHF0ToqOdLrH2bDYra1367HG8TSHu/1vtQryc\nTMTl5WWsrKzg6OhIxCI2s4sj6qOjIxk38pTiQ7+ysoJisfhgq4FHVWbQPPD6+hoHBwdIJBKo1+vw\n+/04OjpS5hwAGRNSElWr1TS1YxNERh2nh/V6Xd07A3y4QzLyl75u5GrwlCC1lNavrVZLLvfkRRMT\nZtRDq9VCqVRCuVzWwuDrcpLGZpQiVT4szWbzni8zldVEM/gadNfncc/TYjQa4fz8XNwJn88nvz6n\n03nPo5kBPp9//jn8fr+UJpubmygWi4LnqJIhYsJm3OPxwO/3Cwp83etRLWbuwHSo5wh6PB6rWeFC\no7qCC5XCS/pjsEEZjUbK3vN6vUilUjg9PYXH40EgEJDmkHo3m80mToTRaEStVpP5CUe+5F2Qgced\nnObo5C/QJNHhcKDdbuuUCIfDmtrRO45+db1eT+PrdDoNs9mMbDYrbPjdd9/F+fk5HA6H4ERqABnn\nQBuFRVuv8Xh8b+TNMisej8sb2u126zNhMPzGxgZ2dnbw6tUrtFotRCIRWK1WRbiRsOTxeOB2ux90\n/x9VmUFZDj/ITqcjfPj8/FzwWLfbVWhPNBoVrNbv9xEOh/Hy5UtcXV3J8w2AiOs8TjlqJtmHO3O1\nWsVgMEC320WtVlOHTvhuPp8rAIg7IZ30XS6XIDc2gJ1OB5999tk9tTYXD4lALIGoyuZono0Xifjj\n8RjPnz8Xjxm4I0iVy2VFU9TrdTXJlUoF8/kcVqtVA6RmsyknJvpnkGgEQJ95uVzWg/7RRx+hUqkg\nFoshEAig3++rIY9Go/Lrq1QqD7r/j2oxkxzU7Xbl5BMMBmVjRa83RpZReUxPYpLtCbsR5spkMuIf\nmM1muQjR7IU8Az4cnI4xLoKdv9PphMPh0E1mBh5trOjvRi0fvYxZBxM9yOfzikKmYTlH6wzTTKfT\netjMZrPqd/qDcOqXzWbh8/mk2I7FYkKFEomETGUYJEQdod/v1+fBh4OQIA0TSZGNRqMiJDUaDSV7\nTadTYdc0jXzI9agWM+mcW1tb8hEmVDUYDPC1r31NZic8pjnOpa8zACEEnIrRe9hoNCIcDivAnJa2\nGxsbsqXiA0RxgMfjgcVigdfrFXuPMqR2uy0XT9oDMMC+UCjIPZONFydzW1tbqn25q7KMqdfr2Nra\nEh2TnIy9vT2N6ykc4GsCd9PTvb09YeWj0UjRwqPR6F5uCYdKfB0AWFtbk5DVZDLB7XbL5ZQnCqmq\nPJW2trawsbEBh8MBv98vL5PXvR5VzcysO0p+6G7EHZvydtZ/l5eXwnkJ29XrddWJ+Xz+3uia+rlF\nIjvDZ2gMfnt7K484LqpKpaKalROvm5sbUSTp2dFut+WuRJ8PMvI42OCkjSbiLKs++eQTpFIpxTgQ\nLaAZziKDcDabyUuDuz+V7FdXV1haWoLf70cul0MkEtHPqNVqwqfJByHMuJj9N51OUSgU9HC3Wi3M\n53MUCgVxRsgt53ubzWZf+TMvXhaLBbPZDC9fvtQRbLFYEI1GEQgE8Omnn8p8hRpBSpr4tUQiIUIS\nj+xIJKKkJ9bS3GGYh8LhBWmSNCSfzWZ6IADIgZ4DBuoHTSYTksmk9IV0z+eDR9NFeiuHw2G43W4k\nEgk4HA5sbGzA5/Nhe3tbEz/W60tLSzg5OUGz2dTQIhgMqo5ftNFiHW6325HJZNRE+3w+rK2tKd6C\nfA6ecicnJ4I8Wf/ToJyGi+RvMz/84uICn332mfzrHlpmPKqdOZ/Pa6RqtVpRr9cRjUa1Mzx58gRO\np1Mezkxj6vf78pXgjeURzV2YsboANP4m0jAcDhVGwx2LxJ9IJHLPPJz6QafTqe8ht4G7FIWtfr8f\n2WwWwWAQpVIJ4XBYyozr62u43W5RXEnuZwPKARDJ9sCXQgTW+AaDQWNoojwcV/Mzodqb9l4sERbj\n2qhhZIlBfz9OX3lSVKtVqcuXl5cRDocxm30Zk0w/vte9HtVi5oKhkTjN/FZXV1Eul2G1WtFsNgVH\nsd70er149uwZXr58KdB/fX0dzWYTRqMR6XRagwm73a7jsNVqySiQdTUJTWzaOF5frJFpEcZyod1u\nw+PxiPM7mUzw/PlzJVMRGiMyUyqV1GgBEDrD5pYihdlshuPjYxQKBbz77rvS8jEDfD6f4/r6Wr4X\n6+vr8t8gykGEqNVqiStit9v1WdIbJBqNiqhF83JuEIydAO4mnMViUQOW0WiEg4MDxGIxfPjhhw+6\n/49qMdPhx+l0wm63I5FIaCjx7NkzURlJByX0tba2huPjY3g8Hjntt1otyZJYG4fDYZmUM8ODvGnG\n5hLLpvVVuVxWfAJ3P+aGcNcmh2QxsjgUCskB32azodVqyUt6c3PzXrNF9IYqkrfeegtms1nwGVEM\ns9mMt956S3U+g4y+973voVAoKFObdE+a6EynUzWyFosFyWQS9XodwN0JRqdQlmMrKys4Pj7G1dUV\nrFYrvv71r8sqzOVyYX9/X1PWDz/8EJFIBPF4HPF4HB988MFr3/9HVTMTfyUWSrokc+mInxLdILON\ntrB09vz4449hsVhk+FKr1WRN2+l0lPZkNpvh8/nUVNESl7EL3KHJS+DxzEVLxQankGwgr66uhF0T\n/242m+h2u0JsWFZwh2UjS79nNoDM8qM0q1wu47PPPtPnsrS0pGhi8jg4dKJVASeG3W4Xw+EQL1++\nFCTJuGKPx4NmsylXqZWVFe3quVxO9rpEV0hA4glWr9e/ihtevKh0Hg6H+OlPfwq73Y4XL17INHE2\nm8lYkd5yFotF2YHM6/v8889V85I1RptZIiVWqxX5fB5PnjyRIzxjxoiKuN1u2O12fPzxx3LppEPR\n4eGhRKZnZ2f34D6OsTnYIbb7ySef4N1330Wv18Ph4SGSySQCgQCurq6Qz+fx3nvvod1u4/nz59jZ\n2VFqVDabxfe+9z3xRcLhMIbDIV69eoV2uy38+sMPP4TNZsPR0RG++c1v4vj4GH6/XxEQzWZTihvC\niJVKRQgPDWaYTejxeNDtdoX9h8Nh6TP5vSaTCe12W/yOh1yPjjXHXRiAMqvJXOv1egiHw6jX64jF\nYuh0Ouh2u1hbWxOmyrxpu90uk0LmcpCny1356uoKkUgE2WxWGPXl5SVSqRQqlYqGI5eXl+I0t9tt\nJJNJFAoFlRkAdFPD4bAyRRazr+kJTXU5BaeskYvFouRiXFjT6VSfx2w2g8vlgtvtltiAJZPNZkOl\nUsHm5iZyuZySpchXMZlMKoNIE+BnnEql0Ov1JNalZKzRaAjxIMGIlrxUYwNQ6ef1evH8+XP8yZ/8\nyVfGicDdzhyLxcQ79vv9KJfLamwKhYIyqJ1Op/6bEqfFnJKNjQ188MEH2N3dRa1WQzAYlFrCZrNh\nMpno39IJkzVuu91WihRxWmLEw+EQ2WxWnGhqDEn7vLq6QrVahdfrFbRFd/2trS3VuicnJ1hfXxcz\nsFqtYmVlRczBRVOaXC6HUCgky1zW2FycZ2dnsNlsImkZDAY5EhEeLBQKcDqdaDQaiMfjwoZZEpH+\nyfKl0WggEAig2+3qtCH8yUHV8vKykCZmiz/kelQ1c6/XQ7Va1Q5BthnwJTeY2jcS2yklMplMMnhh\nzEMqlRKnl69D9hm9l0mnpLg0n89rgEA4ixa19EB2uVxIp9Oy+6L0n+NfIiCMIiMSQOivVqthZ2dH\njZbRaMTOzg6azaZqdk74AIizQdMZNqF0dGJjNxgMBElyUMNIC/5+JCgBQDgchsPhwPn5ueA1jslN\nJhOKxaL43X6/X4YwLH/o70Fs/qHXo1rMmUwGy8vLYmkxLZXTr1AodG9gQjSA7kCM/2Vo+enpKdLp\ntEjubrcbsVhM3Amfz6chwsXFhVTYdNGkGeHa2hqi0ShSqZTYbMzL8/l8aDabwrj5b6ngpmiU6upg\nMIhnz56hWCyK1G4ymVAqleDxeOR8enFxgXq9rodlZ2dHrLetrS1ZH3CXvr29xdramoj0tNpiAmsw\nGJQYlzIvNrWpVEq8DA5crq6uEAwGtfiZyBUKhcT6m81mSKVScv7f2dl50P1/VIuZux5NANlNc3HR\ngZNQ02w2QzqdxtXVlRACwlNMaO31emLOEa7jzez1esrr4M2hFo/5gMFgUAw2vpfb21sAd2QdSpvI\ncWCX73A4NIl0OBz38qmLxaLyQnw+n6inwWBQ9XQymdQiouMRJ5a0CyiVSoL2KD4lt5nQ32Qy0YNJ\nvJhTPH5m1EmyRr+8vFQf0ul05MtMiJCvSz/mZrOplICHXI+qZqY6+vr6Wjo0OnQOh0OUy2UEAgFc\nXl7i4uICpVIJlUoFv/7rvy4nokgkgoODAzidTk2sSqUS9vf3NbYNh8NakIT4eIN41FNKxZqTxzj5\nu6VSCTs7O2om7XY7jo+PMZlM0O/3pZ/jcGU0GiEajYq7TFI9AHE06FrPcoW+cHQXomyKg5FIJCL6\na7lcRjAYVJbi5eUlstks1tbWMB6PUSqVEAgEUKlUtPPzQaOq2+VyadN4+fIlNjY2ZFDJxRsKhYSe\nUDUfj8cxGAxQLBYfdP8f1c5sMBjQ6/Vk4UrWGtXBpF8GAgEsLy/j6dOnwl8jkYgC1kOhEDwej4YA\nNBm0Wq1wu90yM7FarQqcpzzK4/HAbrdjNpuh1WohnU6ryaNXBCPOrFarGjY2THRIojGKy+WScTmd\n96mAJhLldDpVBrGUYQorGXtUwBAloV5wNpshHo/D6/UKxWAtzxLG6/UqLJOjfZYQ/FxYjtzc3Kih\nI3YfjUYVskl6KaPbqGC32+2aaL7u9agW83A4hM/nQyQSwYsXL+D3+8VQIxm90+kgm83C4XDgb//2\nb7G2tgYAcrt3OBw4PT2V3o6xwDy+3W63EA3eVMrlOX202WyIRCLY3t7GZDLB6ekpvF4vrFarFtpw\nOJTHB6VDlEt5vV5xQubzOUajkbJW6BzEUbDNZtPQhGjMwcGBrAgYO7G9vS3s1263w+PxCE2hbwZl\nVQyQZ+PKWIlcLidrXMq7iOrwwSRzMZlM3nNN4jCHLEH63pF6S/+Sh1yPqsxgrBibLh7hVBszg4Mw\n2d7eHprNpiZv4/EYq6urygnxeDxIp9M4PT2F2WxGOBwWLRSAwieLxSJWVlbk/O7xeJDL5eByuVCv\n17G3tyeqJKEvNj0sV4LBoBht8/lcLj9EFubzuRq3tbU1KbS5k29tbcnMkE0rw+MdDsc9ORcX5tbW\nltTrVqsVTqdTeYBGoxFra2uw2+1CQ4xGIxqNhhbfcDiE3W5XbDDlTwaDAQcHB0IwWFM7nU6p1KlE\nAe5ONdrfPsTR6FEtZhoLspli/cpxM2VJDNqhHRXLgclkgnK5DKPRiH6/j+vra5RKJZGEuCA5mr25\nucHh4aFI+4PBQDAVYTnCTvTooPIjGAzKsJD1eqfTEXGn1WqJdUbMl7tZsVgUgy2fz99z6KdNAvCl\neQvxcA5K6ApKI3FmrbDxJB7OHmQwGEhWxQaOCp75fC7dIHFs4K70YePX6/WwvLys+LhAIKByh54j\n5Eg/5HpUi5m8ZC4ujl45fWOsLlld7XZbsqjl5WVRJefzuWrHcDiM4+Nj2cVubGyoiaMglPgp60cu\nJvKQb25u4PV65dVMvJjcCI6XGUvMEEi6jvJ9LSIrfDASiYTw4WKxiHQ6LVJTvV5XaeFwONDtdvUe\nqL0jOYryLKZi0SmJPnKktjLKmWGda2trqFar6Ha7YtPd3t5FCweDQfE3yAbMZDLKBuT/aJfwlT3X\nwkWXeQDiVVCbRnegVqulepMfMgWgxKVZ21UqFTV4qVRK8BWtuMiqo7pjOp2q0eQpQViQkBwjkamA\nWVlZwcXFhZKq2Pg1Gg15JbPxY71psVgkeuXO2e12kUqltAgrlYqOd6ZLcZhjNpsVXNlqtVCpVMSr\nzmazauD40FGvR5SFjSeRE5qJm81mkZEajYagO74WuRu03QUgMtViJvjrXo9qZx4Oh/D7/crZm81m\nUpKQxEO5FLFTt9stmiUX3dOnT3F9fY1oNCqDGHoa83gkErBYCwJQxl0ikZAcPxKJKCaN/IlEIqFk\nrMWGj9wGu90uojwZdpyYcSJHFp/P5xNBnsHqHITQxoBBlZSOra+vw263IxAIYGVlRRFrpKsyJMhs\nNktk0Ol0YDAYkEgkcH5+Dp/PJ2ydD3AoFILNZlOqFDkt9AbhVNJkMklIyzjob3/72/iLv/iL177/\nj2pnph8w2WqsNwOBgLi+wWBQ07Tvfve7ir7l4IHZJx6PB++99x5cLpesrkajkfwsyBXm5I7uRExR\n4q5LbjPhNS5QNo/8Ghs0EvSn06lQEQphR6ORIMdf+IVf0EPK9z8ajWSHy1g2ogWsT7lzU/PI8oLU\nTSIqhMrMZjPcbjcGg4GaN6Is6XRaO6vdblcUBnO7w+GwxuGE/Vh+uN1uwXNseB8anfaoFjOtrgDc\niy6jNcBiYzMej/HDH/5Q6mPgjsHFGIbhcCgCztnZmRomhjbS2KVSqcBgMMhbglwJmnDTrpVxBxTP\nsrnkAqKjEZNKWdOXSiW0Wi2RhohsfPzxxxKQcldnZggx5GaziUKhINIRHZco3eIOztqaaEo2m8Vg\nMEC1Wr2XPcihDkuYv/mbv1GZdnh4eM+mlkaLtOfNZrOo1+uy7B0Oh6Kf0t+vUCg86P4/qjJjcaxa\nLBaxvr6Ofr+P+XyOy8tLWVldXFwgmUxKeEpjQTp5LhoQ2mw2IRIrKyu4vr5W112r1bQgiEtTyDqd\nTnFzc4NUKiXLrNFopM6d7LdqtSq3UO7a8/lccQuVSgWJREKEe46HOV2kCqbZbCIWi6FYLIrBBkB0\nS3qAjMdjjZxJuiedkyjQaDRSaZLP56UFtNvtqNVqyjQhOsRSA4CSa9lQs+5nUla73YbBYIDb7db4\nmp/zQ2vmR7Uz86ilRS1ruVQqpbqN7C/mhzCXj3gtJ15utxter1cwUiaTwXg8Fi7r8/kQCoWQyWTg\ncDhkVUXPDPKQOarmgMRoNCpSze/3w+FwiEfB5ClyJbxeL/b29oQ9c5Et5hDu7+/D5/OpPNjd3UUq\nlUIoFJInHEOLCL3Rf49oCq3HMpmMnOydTqcUJJFIREQhBgtx2sqp5fX1tSKPaRlMmRhjLRKJhMoX\nsvjY/DFD/CHXo1rM1Lsx05nOmeQXb29vi3Nrt9tVBozHY1EtabMFQMJVugCxWSL/mLsdp2m0q41E\nIvfypFmnk6O8tbUFp9OJ09NTTRQp0VpbW5NwYDweo9PpiMQUDAaRTqclElhdXUWtVpMxY71eR6PR\nEBON1gkmkwnb29siVW1vb8ujeTKZaBzNTBLqCVdXV2VDtr29LaiTA5N4PK54CbqXMn6COzXxe5ZE\nTqcTwWBQ7qbpdFpw5Pr6+oPu/6MqMxiW2Ol0kPsihPHk5ESB5PRxq9frkgWZTCZUq1V15oPBAKen\npxpeMB7C4/HI7XNpaUmmKH6/H7VaTcy55eVlHZmU3S8mmN7e3qLVauHk5ASbm5uo1+toNptKwWId\nyQDN5eVlUTfPzs7kz0y9nNfrVT37zjvvKGGW7LhyuYxcLodEIoFyuYxkMol8Pi8Vzc3NDQ4ODuBy\nufDq1SvV/W+//bZMXwjtcfhBfJ0Wv5xSUuFCo51WqyVuM51VKQUjgZ/ezwCUGvu616PamVdWVkQn\njEQionICdw0hlSg8TjOZDK6vrxUi2Ww2kUqlEAwGhQhQNkS1SK/XQ6vVUkdPcg1wdzO4k5LfzBKB\nmsLhcKhygSR3WnsBUOwDJ2x8IJi4ShkX0RI2VA6HQ7Upd06askSjURQKBT2Y0+lUJt8A1JiyPPD7\n/YL9mIO9+HmFQiHFWDAAiI2cyWTCzc0NisWipqQkIbEs4USUjS0X91cTwIWLUBgNRRhDRq0d61iS\nw5lRQl4AVddMJ7VYLLJs5XSLdTBVxZTwW61WjclZkrARSiQS4hgTVVlfX5f7D3HrdDqNYrEopCEU\nCmkX5MJhCi3hLZJ7CInRBiCRSKBYLMJisSgbm/ki5GQT8aH1LQBZc5lMJuzt7amW5yKMx+MaY/Nh\n4ENEPjM9rWlOEwgEUC6XxSkJBoMqlUg28nq9ePr06YOsBh7VYv5/2HuX2MbXNL3voSiRkijeREq8\n6a6Squqc03X6nD59mzFmpoE4i0Hs2SWzCbzILpuBYwdxso8RZJO17VUwNgLYm8DxwHA8iCcz4x50\nt/vUudRNUkmibhTFOylRlERJzKLO72mqPXaAUpzxCP0HDk5dVBTF//f/vvd93ufCbplMJvXy5Uub\ncePkzsCDsW+xWNTZ2Zn929rttq0I4GccHx+rXq9raWnJkB0ZJyhF2D0JvwQCxGLr5z//uZaWlmzO\nPTU1ZV4GJUE0GtX29vYdqwJ2O/gOuBmx60Ki73Q6zsPGJB2oD9ekxcVFM+Cogxk9l8tlN7DhcFhH\nR0c2A4cui/80pUa32/XDDb21UChY8IsYAYiQrJRAIOBhDqgMvG3I+u97PajFfHp6qtnZWTsSgRSM\njo5qYWFBh4eHd8IooV0Sh4ad69ramh3vGUqgxJ6amtL29rZlVpFIxLXy1NSUkQs69VqtpvX1dXtJ\ngBMHAgHbeDEe7nQ6ppEiAmVogRsR9EwGEghxiVA4Pz83P+Pp06dOV8Xi4NNPP9Xe3p6J9ciYIFJh\nkTA5OakPP/zQKhWULaOjo3r06JG2trbMwVhaWrKPHV597Xbb2TEff/yxXr9+rXK5bG7zxcWFlpaW\n9NOf/tR86sXFRf3BH/zBe9//B1Uzs6OBOLRaLZVKJfV6PW1vb5sMhPdZq9XS1taWpf27u7uSpD/+\n4z82ToxzJ6UIfsaMYEl1Qmp/cHCgbrerVqulYDDoxpK0VY5fkATYdbD9Tk5OtLu7q/39fVvbbm1t\nWQECzZP8FUkOh6QJhSvCgIRxfSAQULFY1M7OjimvIyMjevv2rSYmJmzHcH19rWazaZIQEQ4YhG9s\nbLie5j0DSZ6cnGhvb0/VatWl15dffmnJFYJgfDgoRSKRiH7605/e6/4/qJ0ZoguezKAHNBhjY2Mq\nFosmteDX1mw2XTfSgBHsiC0WTp9MGKGCNhoNhcNhLSwsaGNjww0lk0ZUJ2dnZ+780SDirUHzOdwg\nofeDyDMcbgl6kkqlnF3SaDQ8XKEePj4+to6R5Few8qOjI0WjUSMmmJEzOOLBweEIo3CIXKhQSMqC\nYDQ9PS1Jd/jW2C6QQ55MJu+ExmP7y7993+tBLWaEmnhNAOgDb7VaLePMlA4ctYyV8UCDAgp1kRKA\naDByOeBKo6/jRsEoQ8SKjReDG9w+oZlK8k4/MTFhKwQeCMhR0WjU4tTR0VFzrJfUCdUAACAASURB\nVDm+ISNBlOdBokyg/MGPj0ZYeicqODk5MWeEMT28auig8Cn4zHkNXP/hmvR6PWUyGX8eJApAxwXB\noQnkc3jf60GVGZlMxvG6sMAoO05PT7WxsWGft+3tbXvFQVHsdDreeTiuqYtxkz85OTHcxPes1Wo6\nPz/3wmFBM8plzM6EkXp8mFyExRXyLnZZID2C2ilX0OXBa2bHZ3cbjg+emJiwPxyhm2DqU1NTHhJB\nfaV86Xa7XpA42yMXgzZLM1mv1++M3FutlsbHx1UqlcxFQUYFPl0qlWwOAzx6n+tB7cz1et1sucPD\nQy0tLdkDbjiJ6vT0VPPz8yoWizo4OND3v/99L/zb21sVi0VTLTEyQdpDycGNh9vcbretwN7f31cw\nGFQkElE4HFaxWFQymdTe3p5mZmZsaQtBCHcjOvxer2fFCLvi5OSk7buoU4djzjCbwcARESuSsGEl\ndiKRMDzHsKPf73vsLP2C03Fzc3MncxAnz06no7W1NS9SsHAkVVBZgQbHxsZMCWXTGB0d9YInw/s+\n14NazNAlu92u1tfX1ev1tLq6qoWFBcViMcvfi8WiRkZG9Lu/+7v6+3//73uXAycF3ltZWVGj0VA8\nHtfOzo4//MePH6vVapm/S5NXq9U0NTWlmZkZL3BJHu9+8skn6nQ6ury8NOQlyRYC+H4woKA8gIif\nz+e9ED/++GMnQEFawpeCdFTQGlxM4U4z0WOw9PjxY/Oiz8/PfSI8ffrUwUYMU4AA4U8zoMJ2C1UL\nWDRG64FAwPkmTC3D4bDevn2rlZUVU2V//OMfv/f9f1BlBjtMJBLR9va2ZmZmtLm5qePjY21sbGhk\nZESbm5va3t7W9fW1/uiP/sh14v7+vvNMGOtubW1pYmJCf/Znf6bFxUUT5iENkWLKtI/FPD09rTdv\n3tjhBzYYabGBQEBv3771BLHT6SibzXohkDFCwhRDj3A4rJOTE83OzupP//RPzQhEywcXmjG8JPtu\nEEwEe29vb88ck6+++sp8aZyggsGgk2CxNsAjhIknuDH2vbjs93o9/Zt/82/8cxAkNDY2pkgkomKx\nqGq1qlKpZBLT+fm56/D3vR7UzsyMH+y4Vqvp6dOnPloZbYML09gtLS1Jkk0Ih9Oger2elpeXjTkj\n0BwfH1c2m3XE7/HxsSdxjUZDS0tLNjan3AGayuVyLn0WFhYsI6JBwsSFeAZ28Ovra62urno6yEgZ\niA2JF6YqWO9SbszOzhpJYac9OjryuDqdTjsQk1obGBBSFdNBBAYEbi4uLjoACKN3ml+abxIAEomE\nut2uCoWCSqWSJ7c0ou97Paid+fLyUrVaTb1ezxEPBwcHCgQC5lNQryG5J2CnVqvp7OzMIemYk2M6\nzo4WCAQ8vABL5e/QFmLq3el0dHp6qp2dHd3c3PgoZiFTEoCJYzvAQ4BRODl7wIiVSsViXB4Cfn5I\n7yzm8/NzJzsxqcPc/OjoyLnZ7Nq3t7ceTXe7XXOSydqmB6FnQGxQrVa9WDFlhOvBCcLDzESWr8P2\nlhi3970e1GLmOB0bG1OhUHDcWDgc9i7U7/cdYQABPhQKKZvNWjaFXIkunEBKbk6z2fRNn5iYUK1W\nUzqdNmwGJRJn+5GREbXbbd9UXDCR5+PEyeIHoyU7cHp62hYBiFuRd0E4wkgRUS8TymGBLAaN7XZb\njx49crJrtVqV9IuHYXt7W5FIRNFo1Lg0wyLp3aS12+2qVCo5fg0SlqQ7uYTwm8fGxhwNEY1GPW1F\nnVKr1e7Fy5AeWJnBTYYsgzUAi3RsbMx8AnDoSqVi5x+OyMXFRScxFQoFx6VhWwD3F0cgTGFSqZTx\nZSA3BAL4rREkiS6QhRAMBi0m5TRAtwgEB0e43+/ryZMnTkENBAIObOd98vNKsj0tZUAymfT4nWQo\nBkszMzOS5GaRsufjjz/W/v6+x+98lsOEouEyBN3ksL0XpdPExISazabm5uYcAB+NRrW+vq5/9a/+\n1Xvf/we1mEEXkPIwWfre976n3d1d1et1TU9Pe9pUqVTUbDYt/4fv+/nnn2txcdFEI3aQi4sL7e3t\nWdKPi2a9Xr9TMszMzJjsP1zSMG6/vr7W8fGxj140gzxYyPtp7Jg2AsuNjo5qf39fhULBOO/19bVq\ntZpj1hi0oBiJxWKOHx4m+PR6PUej8XMmEgm1221tb29bRf6zn/1MhUJBr1+/1vr6uiPdsDoACWq3\n2xoMBoYhyTSR5CaUevzNmzfG5QOBgF68eHGv+/+gygwWAGJQjm+GA1hHzc7O6vr6WpFIRAsLC3Zt\nLxQK7txnZ2eVzWaNXLBDIt1nPA2XGChqWIEMmsHolmlYOp02rjwxMaHz83ONjIxofn7e2DTMNKZp\npFCxg09NTfn4xok+n8/bkovmja9H1c176XQ6biCB7Six2FEvLi7cLDNc4nUgOoFQENLJ2D0ej7sE\ngjgFuQnoELMeyFmccO97PajFHIvFDMZzYzEVp6mizMBkEANAXIgYGaMmgXyPSSGdeCQSUTabVSQS\nsUQrkUj4e8RiMXOEUZ9QfpRKJU/POp2OxsfHbUYIY40RPJL9SCTicTwsNth/TPsoldAuwskm6/rm\n5sZ85EePHtnEhihkRAmUOysrKx7F83nwUKPC5qFiwBONRu1Vx4m1srJiO4PBYKC1tTXzzDc2NnR4\neOh7dp/rQS1mkAlk/DRdgUDAmR/hcNilCB8eDR3TuKOjIzdvyITQ4fX7fR/3dPG4EQ0GAw8ukNUz\nVcRSdmRkxOmr8CDg/WJ9xTHPkby9vW0VNiNjMg+RfGHCSOlCUgB6x0QiYV/ndrutvb09x7PRBGMs\ng1UWE7tisWgkZXgoA/w5HLUBMsTPO6xCWVtbM6OPIRQ7OIOm+1wPajEz8YrFYspkMlpYWLhjUIIO\n7c2bN7bVyufzdg1KpVL+Wiy0YJrhw4aBCsSdR48eqd/vO8R9YWHBLj7hcNjEGsLooZb2+33Nzc0Z\nG5+dnVU+n1cgEDC3hFOARQEDDQOVq6srra6uGiLj/QN7dbtdGxjyUGE1m8lkTCiCGjs5Oem4YiaE\nYOG4f+JeSvPJZwWKg4f1wsKCJicnFY/HXa9XKhUlk0kVCgU/aExVgQrvcz2oBpAOm9BKjj0IPNVq\nVWtra3acbDab+slPfqLf+Z3fMU9CeqfoKBQKNhGkMaLJYmrIrokBzBdffKGlpSUnn0ajUYsCUIfc\n3t56isaUjigGjFjIGWFHYzFeXl4qFos5aw9zSExeGo2GLQnIrIZkRVN8cHCgq6srVSoVvybE/M8/\n/1zRaFSdTkdXV1fa2NjQt771LWPGkJBoImHUYSIDsnJzc6ONjQ19/PHH2tvbs5cIzqWMwMHLCc7c\n2dm51/1/UDtzo9FQNBq9M7qV5GYvkUh4d6NUYGdm52NnhjQz7C8My02SNYB8DcoRGhv8ncFaY7GY\n+dNM2XCyB7KC0QfkBQUU939y/7CmhZ7KbinJQ5B+v+9/gy8Fp8DCwoK1i9Tr2NQOy6emp6fthB+P\nxzU7O2tYE0wb9TXO+5D5sXigtuczYyfu9/sKBoNulDOZzL35zH9hizkQCAQDgcDzQCDwf3zz++lA\nIPAvA4HAZiAQ+D8DgUBi6Gv/+0AgsBUIBN4EAoH/9N/zmncYbfF43PUdgxIUwagmIMeTeVcqlUz6\nQRERiURcdnCzmOpJ73BfdGwwykAFgsGgTwoeDEkWrZKvgjEMjDe0eRjbMGFE+c0pwvFOUzoYDFzz\nN5tNcx5ohuFugPgwyGF6R34J743mF4f9QCDgEwsCP+6e/X7fJ9jMzIw97piK8lkxNCIgk2EQm8/7\nXn+RZcbvSXolKfrN7/+OpH85GAz+50Ag8N998/u/EwgEPpD0X0j6QFJB0h8GAoH1wWBw+8svyNz/\n+vraw465uTmHwrBbocP7zne+o+PjY+8oIA7r6+taXFxUt9t1HY68H7n/4uKiDg8PjTywUIH2hkk/\nS0tLhukgxvOay8vLikQibigZ/ExMTOjJkyeuddvttubm5jyYoBeA5TczM+Pp4K//+q+r2Wzqhz/8\noUqlkl8fEtTLly8dAVev1xWNRr2DMkwhygFmnCStrKzo4OBAyWTSKVmkFcDNgMfS6XRMUWVAhDXY\n4uKiarWalSiJREKJREKFQuFeC+ovZDEHAoE5Sb8t6X+U9N9888d/XdJvfvPr/1XSH+ndgv4dSf/b\nYDDoSyoGAoG3kr4n6c+dfbLrFotFFQoFhyh2u12dnJwoGAzq5OREIyMj2tvbsz0U3IJ4PK7NzU1b\n37bbbTvaB4NBJ5XC38AbgjocUhApqwsLC3rx4sUd1yCQgnw+r2q1qsPDQz8c6XTaNer+/v4dU/Ji\nsXgnYSqVSrkhbTQabnh3dnY0Pj6uL774wgQkxu4w/TDJYcAxNTWl5eVlnZycqFwu69NPP7WY4ZfD\n3gnlhFGHri+fz2tra8sELgZT8Xhcx8fHxqNPTk4ccccJEwqF7h0E/xdVZvwvkv5bScO7a2YwGJx8\n8+sTSWho8pIOh77uUO926H/rormCIMQCQNqEjJ5mJJlMWscGPIcHBnUftgKMeamb4SWTz41ekPoY\nST6RC9TLwGCUB3hGh8Nhzc/PW6pF3jSsNIYb2OaiDcTPjQaNh4VaF4sAJoe4k3L0Q0/FVJFhysTE\nhPkVwHAY12CzMDxm5/OSZOydzPGbmxv3F3zmw+HxvD9KsPe9/n/fmQOBwH8mqTIYDJ4HAoHf+vO+\nZjAYDAKBwL+P3Prn/h3TulAo5FDFbDbr+DGoiIg78W1molar1dRut50dQjjNRx99pHa77boZwn4o\nFNLr1699XLKrXl1d6dGjRyarszAxER8ZGdGHH35oOKzZbDoEiIkbZcnY2Jg++eQTnZ2dqdVq2bgc\ntQrfA7YaDkZkpoAbgxqA+GCyPjIyopWVFQt/yefGM5nmGI7zN/fHglbKomQyaZsHuBnDAZl4ZpdK\nJQ9zMB4fHR01Ln6f6y+izPg1SX89EAj8tqRxSbFAIPD7kk4CgUB2MBiUA4FAThJxnUeS5of+/dw3\nf/ZvXV988YWB91gspu9973v2NJ6ennYgZavV8gcLPtxsNl2rknrKqHhjY0Orq6t3AiOldwoR6Z2v\nM9M0VNns6MiuSH7FQLBcLltPB6aLMyn+yZI8esepnxwQJoGzs7M6PDz0wARNIEproLP19XXjzMBl\nNKiSnA3Ybrc1MzNjRiAC2WFbA+r9i4sLraysmFZL5gpWva1Wy9NWgjNxPo1EIup2u/qDP/gDR3L8\npcsBHAwG/8NgMJgfDAbLkn5X0v81GAz+S0n/VNLf+ObL/oak//2bX/9TSb8bCARCgUBgWdKapD/X\nYOG3f/u39ezZM62trZn/S+cOBRJMFix32KkHqVG1WrXUX/oF6Z+Qeeo8vCzm5uYcPD/MVMOU5uTk\nxIMNJndAdvCEGSODIEjvTGGKxaIHGSyKer1uiwCUK6Ojo2bqVSoV+1ygpuZUOTo6Urvd1tHRkbF4\n+gqyTVDc7O7uuvkc9rkmLxHzRR5wBjAnJycW3TYaDdVqNVUqFY/JDw4O/P0eP36sH/zgB/r44481\nPz+v+1z/MQxNKBn+J0n/OBAI/FeSipL+c0kaDAavAoHAP9Y75ONa0n89+Hfoa6rVqlUW+BOvr69r\nZGREc3Nzkt5lBQ7nYuN8xL+5vr7WX/2rf9WOoWNjY/ZmhvM8jO3ifwz+G41GzZhDALq6umpeBOlT\n6ALHxsb06aef2pyGvG3qZWpqmlaiIPBQ5vtLMo0T9IQMFkbHy8vL+uijj3R8fKyTkxOl02lJ704x\n9IY0iRMTE/r000/NJ1lfX7dsbG5uzqUTPzfmktls1jwNKANra2va2dkx7rywsKDT01N9+OGH+vGP\nf2x+yO3trf7JP/kn772Q/kIX82Aw+L8l/d/f/Loh6T/5d3zd35X0d//fXo+SIpVKaWtry9RKIDLI\nRLgUgQEXCgVzjs/Oziyy5NhvNBpaXFyU9Av4j3oPDJejFr9jBiF4One73TvJVVjUfvDBB9ra2jLB\nKRaL6fj42Po8nP45NWCtYSADrRO/O7gn6A15n9lsVmdnZ9rY2PDUEAU2jeX8/LyazaaHJeDAQIZo\n9X72s595HI/iJpVK6fr6Fymr19fXymQyVspXq9U7tbn07sRbWVnx2P9XXnNDF5ZXjUZD9Xpd+Xze\nWDCSptHRUdVqNevwcOqBWIQh4dnZ2R19Xz6ft6kL/Irj42MtLS1pc3PTjvLUsQxOarWak6pAF2q1\nmtNih3dCxtE0i2C5mBFC3SQ0XpKnhLVaTdls1sMNdtRhr+RWq6V8Pq+XL19ay9hsNq173N3dNQNw\nfX3dD1Gj0TCKAc7OEIi+4ejoyIgN4e8IEnA9Oj4+dv0fCoW0ubnpxK2pqSltbGzc6/4/qHE2kBML\nSZLhKqxhWbT8Gd369fW1KpWKVlZWrELGlhbeLkEyTMskeVgCfsrNabVa3v1IfaJxBIeFpim9a6ym\np6ft5wxScHt7q16v598zBgbOg81HhsnU1JTDMMGgqcrgh9DwAqsx+kf6xGcjyc3p2NiY3aJIASAM\nE/UNjS9mjZKcnXJxceFGmM8LBToOUQxZ3vd6UIsZzBJVMHXwcKQXU8CJiQnl83kNBgP/HgJRNBq1\nkSHwHpgsujiCexqNhon25AF2u10tLCzo+vraTR6eyjh2krEC6kBziCxpamrKRCJI/MQwMJ3L5XL+\n3njcoSaHmE89/fbt2ztuTaurq8adZ2ZmjCfjTQ0vnOgKyoNQKKRkMqlMJmMrLiBMuBXBYNC+H/yM\neO71+33lcjkbmu/v7zvy+S8dzvwf8uLoe/TokXZ3dz2sgHr50UcfmVvMQqUehA/BDkJWB4lK6Ao5\nOiEFnZ+fu65Op9MuN4ikQEzL8Q36US6XVS6X9eTJEw9xoGaWSiV7JrNDYudF7iDuP2DCjLiDwaAN\nx1moR0dH+vVf/3Uf91NTUyqXy8pkMpqamrLi5PHjxyoWi16U6PPGxsYsdkBdTX4gD2omk/HPEIlE\n7jR1o6Oj2tnZUS6X84l2c3Oj9fV1P6jcp/tcD2oxswt2Oh1PskgXhUZJTZpKpXR6emqvDEz8aGJ6\nvZ4bP5ohdHVYFJAKdXZ2pkaj4bixQCCgcrmsZ8+e6eTkRLVaTZFIxFRPLK/y+byPeHKpr6+v7xzB\nktw4ogVkqHN+fu7d9urqyijKF198ofHxccdgEGjJRA5KKyaKfI9ms2mDxtvbW9XrdROOMK6B6Xd9\nfW0EhFMLnFuSU3Jvbm782SJawIcPshMptn9Zx9n/QS68JGCDochgVNrpdDw1g63GgKFcLlu9LMmE\nfbK3wWKr1ao9iMFx4WRcXl7q8PDQQ5nNzU03jJQRPBjSu4cPfw4eEtyLGJkz8pXkCWWv11Ov1zN+\njckLdgW4+Pf7fZXLZYfPl8tltdtt48g0j5CwSqWSm8VQKKS9vT0vUpAd2If0J9TmBHIyqaSGHx0d\ntWd1sVg0w25qakrFYtF9y8HBwb1Zcw9qMdOoIF1iAgY1sVqtqlarmUNRLBZtHJPNZh1Kw9exACET\nAV9h3s2xyGtK8s5FibG0tKRKpeKdb9jjmUZwf39fp6en1tSR7AT7jLoXQ0eEAZwO4XBYjUbDtS9E\nI+DCSqVi6y+4JSxMml0e8MFgYI/rdDpt9GR8fFyvX7/2yTHc6LKbk60tyZg0D4Yk5fN5G8+g4Lm+\nvtbW1pYGg8G9yfmB+/p7/cdyBQKBwd/6W3/LcBcmK1NTU8rn89re3nb6KhDT4uKi/sW/+Bf64IMP\nfETiLs+ABMEpMn4GAbgFpVIpCzUlefFls1mjEOyCPBzU54y4u92u6aGSjLB0u1078w8rsHu9nmZn\nZ+0YynhZeuctx/eA4IMOUJKj5c7Pz/X48WM9f/5cCwsLarVanohOTU0plUrZOw94LxwOa29vT/Pz\n86rVavrOd76jg4MDD094DUkO3+E9sMlQFvV6PaVSKQcSZbNZ7ezs6B/8g3+gwWDwXmLAB1UzU0dS\n25JGen197d0NJXM4HNZPfvIT+09QJ6Ktu7q60uvXr5XL5e4ouDmquTHDOxVGiAw1ZmZm7gTWUK+v\nrKzo1atXd6LLRkdHdXp6qkQiYUZeOBxWv993qYFdLH7LS0tL3pXJa0mn0y4ppHcTT5pTHOwh+PNz\nVCoVnZ2d2dsDkhWLmAVIniFmjGQs4oREmREKhRzYSVJXqVRylgvfhxMUaJTm8H2vB1VmQCXEIYc8\narwpKAtoxgqFgp4+feoINNzt8Y9IpVKmQ+bzeSuncR2CaA/PIh6P2+qViSHHLoR8giYhBA3j3DDq\nJicnbTMG8R/jRpAPfDTw1cDeAAuEfD5vAn4wGLSIlnE7Uz5IT7FYzLAfsij+L71DTWKxmOkAnFjk\ns7DwcW0aHx93VPJw5AbMQGi2qFw4Ue5zPajFDIzEWBpDPsB4dkDwT5ovFhq1JX83Pj5uGAt4D24x\nN4yRMfU2JQNNFjgsN4whAaXJYDCwSJTXxMWfMTwPGLsfv+50OpYcgZkzGCHm7fz83GUN5pAgMPF4\nXOl0WrOzs4YcIWdJMrxHrU0ZMuzzTOkEdIiA+OrqStvb2+Zew0ch/4+HiXr6+vr63r4ZD6rMqFar\nFna+ePFCq6urVkZUKhUNBgMzyrLZrBUgIBmJREJv3rzRl19+qd/8zd+0kpkdB/IP9loHBweu0VFS\nz8/P+wiHRvry5Uutrq7aVw6HfBYBHhNMLvGq6PV6zg8JBAKeUMJ6IxTz7OxML1++1NOnT1WtVrWx\nsaFcLqdGo+Fx9He/+12XLZRF5XJZlUrFKhC+dmpqynazKGSCwaDZe+zoqVTK6BCsw7GxMafFUtqh\ncUQ4gCHlMFJzeXmpP/3TP73X/X9QOzOE71qtpt/4jd9wk5HJZLS8vKz5+XktLCw4n2R9fd2LZ3V1\n1Q3Pr/3ar1kvFwgE9OzZMw8k4FeMjIyYGx2LxZRIJFyyUDJwcxcWFix2xfyQsS4awm63q5WVFe++\n+H+k02nbdi0sLLiBXV1dNRV1fHzcKbCRSERra2t69uyZDWeSyeQdESmZ36izP/vsM4VCIS0vL3t6\nGA6HVSgUbPV1c3NjSy6U2ZwSlEoEuSMmpsYfGxuzmePk5KS51PjTIXxdX1+/1/1/UIuZumtqakrP\nnz93t9/r9eygj4UAuSH7+/v2v7i+fpd/t7+/72O63+/rxYsXHrdCUuc4Zxfudrva3d3V9va2nYko\nGYrFot3lsYPllMDPrd1u6/PPPzc/gl3/8PDQ/s3lcvnOe5qamtLbt289TKlUKup0Oh748GAwkgbx\nAKEAa9/c3FQoFHJ8G+VSs9n0/8GxW62W6vW6tra2XM8jRfviiy9MGsIUcbicwqPj4ODAvBA41ldX\nV7bWfd/rQS1mTMAZSRP+gjKZm/fixQt33YxhqXXJMSGeASXH+vq6RkdHHXbDhA1HI0xMpqenzbTD\nTT+RSNg8EHSiWCx6XBwMBrW+vq5CoaDx8XH/HnbZy5cvzXir1WpaWVmR9G5w8eTJEx/ZcB6IsIBH\n0mq1lMvl7vQM+/v79rogSmJ8fNzxFcOefPQRpGphKonYAUwZvgkPOicM7qlTU1NaXFw0TwbWIpHN\n1Orvez0onPn3fu/3lM1m1Wg0bKGFDIhmj6kXyuGXL1/qu9/9rrnAML6y2ayCwaDi8bj29/eVSCTs\niTEzM+MdKxKJ2OGn0WioXC7rO9/5jqEtmkn8inu9niE7xursrMVi0bKpfD6vZrPpwcT4+LjlTJIs\nph02RJekR48eeQeHttlqtbS2tqZqterQTGBIbHNBLeCVrK2tObx9b2/PAl1Jd0QJ8Xj8TlOMAQ99\nCerwUqlkHSbKHjz2EB+fnJzoH/7Df/grnFl6B8Rj6DI6OmquMkOBi4sLVSoVXV1d2dwF8jkZJoyW\nk8mkyuWyHj16pFwu5zF0r9fzWJZUUtTfoVBIhULBhPTb21sT2OEqsDihmGLa0u12vdBisZgjgbHH\npRTK5XIaGRmxOaQkP0xjY2Pa2dlxTBzvczgDEZ4GFFJOj06n41qW6d75+bk2NjYMqd3e3nqgRK1M\ngxoMBm0GyWeJxxw6wvHxcSd9QZ2FAgvP+z7XgyozUDTTXAD9QBCnXkYrB6Go3++rUqlYaAm8l0gk\ndHZ2ZiiPY5obgHEMSg+GKOx81MKQlKiVaaAIk0SkCm8auBDkBEU4wxygr2g0ekeyhI+HJDsNhcNh\nN4gYGzKs4LMCB0Z9g/8GJQCnDiVHNps1FCfJ8B3qF7IRsRgGlSEujQcBExu41ffNNHlQOzPdM/oz\n4n+BwOD+QpznmIdUxDABKie+w+xawWDQDDgWifSOzsjCQ6UNtkr+nSR7QqPQJpJ3eCBycXHhiSRk\nf45m/i02XKFQSGdnZz6+Dw4OzGADRmSxMHnDu4PanNIJS1sIWaAWCAFo4ubm5kzQh4fNa/E9rq+v\n9ejRIx0eHnpkz3QTigAnZ7lctgUDzfX7Xg9qMRNZxqBi2ELgW9/6lssISXbvubi4cLYJcNWTJ0/s\n0wa0hPE41FH0hkzxMFak7MArAtMWDF8Izzk/P1cmk7FQFp41R7gkE+zBmUElMIohPIf0J4Y/cJQh\n1SM0CIfDWl5e9tCEU2Ztbc1iU+y6mEZSK/OQ7+/v69mzZ2bJkeN3dXWlVCrl4QruqIFAwA0zlNtM\nJqNGo6FkMmlZWzweVyaT0e///u+/9/1/UIt5fHxcf/RHf+SdgiYtl8upVCr561KplDY3N8304liE\n51sqlfThhx8at0W5EolEjAJcXFz4RqCZ29/f19XVlZ48eeJBCjU5Rzz1KiGQjLKpF0Elfvazn+n2\n9tbE/16v52ObcT2j6WGrWTLDYdxRokC7HB0d1fPnzzU6OqqFhQX1ej0dHh5qamrKTenBwYEk6U/+\n5E/0gx/8QMViUbFYTMVi0RRRSqm1tTVtbm6az8Ewh6DON2/e+H0Pm8GjEaOx9AAAIABJREFUECcl\nizyY+1wPajGHw2F9+umnkqT9/X3lcjlH+FIijI6+C1b/9NNPdXh4qF6v52EENTfqEbK4i8WiPvnk\nE11fXzuJ6vLy0vG/sNAI5gmFQjYCDAaDajQavmEMEEqlkkWylAT4shGTDHRFRjVlEWFCt7e3WlhY\nMI2T3BFG52NjY55IPn782Gbei4uLtpLF40LSHfQnnU7r6dOnVsYgJ2OqSMOXz+fVbrdNbY1Go8rl\ncsbBnzx5Ikku7dj15+bmLHIgGeu+QfAPqgEsl8sG4NvtttW/OOZj/8RiSqfTbrhIe4J0BCmJ8oDm\nBSQENQj/BpvXk5MTNRoNHR8fq9lsGhqTZG40rkl7e3u2O4DpRrjN0dGRzs7OdHx8rFKpZOwbo3Ho\np5VKxRERjKlRcnPasDPi7onNAZ8NMil8+n7Zfw81CGN/eBUoyodFBDjg02CD7fd6PeVyOUeo8VAg\nUSsUCsbP3/d6UDtzLBazgcrjx49teTU1NaVcLqfj42P/GVTJ2dlZzc/P6/j42LDXs2fPVK1WNTMz\no8nJSa2srDhhtVAoaHd31xmAwzawNzc3mp+f19XVlU1nzs7O9OGHH9ooER706Oio/fDm5+e9+MB7\nP/vsM52enro5ZKDA4lxcXDRaAc6MgSHSLcSxjN/Hx8f15MkTZ5VEo1ElEgmHvWNsODU1pWQyqU8/\n/VSnp6e2q/3ggw8s9wIbnpiY0OPHj90rMHqXZFbh48eP9ebNG4dwghrlcjk3iVdXV1pYWLjX/X9Q\nixlrq0QioVKp5KiFfD5vFly5XHbkGTsHtlpnZ2e6ubnRj3/8Y33rW99y140XBrs3MiiI5+zK4+Pj\ntrKlbgd7ZVedmJiwXS7/BqfQsbExk3tgvKFsBpID193Z2VE8HjeHGNNEyPws0FAopHQ67UnjxsaG\njcvJ1YarcXJyckf6BK4NQjJcKyOjokxidD5sc0sZ9ZOf/MQCBfLIm82mNxNgxb29vXvd/wdVZpD4\nSdmAATecY+KFi8Wij2QaL8a54MQ48EMNZSEP482tVsuvD46K5cDZ2Zl97pBnUZOXy2XX76VSyW7+\nTNRg6gFpoUZhAXGEg1+zOHEm2tvbs6PR8fGxnj9/rmaz6TobSwPwZkl3yqJarWYjckSzfGa8Bgy8\nwWBgmdmwRS/4+sHBgYW7ePbh88dDge8civP3vR7UYgZu6na7XqTIh4CvWHwTExN2pZTe5W1gVM6R\nSeeOjSzjbuRNNzc3hvWwo8IwkdEv+Sa8FgMG6lQaJ/Bd/p5pIwR2VM9o9fh9t9s1J4PviVsoPwdN\nMAMe6Z2YltMFQe74+Lj51ihv0OqBNTMlROaFVW4wGLQotVarmaeBcJWfgYeU04cTcnZ2VvelVjyo\nxcwVDAa1vLzsIxuMNBqNan5+XolEQhcXF/rBD35g0L5arToMZ3l5WZOTk1pdXbUyYnd31/q5+fl5\nm5vgEQdRplgsuhwAviPgkqHBsJ0AsQg3NzdWVMMVpoaFBD8sB4MkBD85Eono8PDQY/GrqytlMhml\n02nrBkdHRz00IZwoGAzahJEHj1JmeXnZpCDYfcMBltTt+DWTghuPx+12RLYgp2QikdDs7KzLQWIz\nxsfHf0XOH76AeJD/4OmAqzvZeq1WyzxjuvxGo+ExLYgGGR4498AMw1YA8hGCzX6/rw8++ECRSMSO\nP9PT08Z4G42GE5Y4MZB6Db5JumL8zi5IWUFyKxNN3gMcYXY3CEQ8PCxEBkgoxzudjndwYtqYgiIN\ny+VyTg0AMcHIhmEIERMTExOeeGK3xZifBAISAcbGxiz1QvnCoOde9///o3X0H8XFBwdJBnlRs9n0\nMckY++bmRm/evDFSQOglu1YikdBPf/pThUIhdbtdR5/RjK2srFgIcHNz45p4bm5OoVBIW1tbxnFR\nWDB5gwAFU4/3x8PCIAZ+Nb9Gzzc5OWmHfwSleOUhcZJkGwBI/MFg0DZbfC6UEWDYjMnJScHyi4XN\nw5tOp/Xll18afYFIBOF+b2/P3Be8q1HehEIhxx8TYTEyMqLl5eV73f8HtZhpKIC/kEQRkUsULoR8\nhghgwSw4GrJhuRA7LyNxFhnecoPBQMVi0c0Nejtiz1BR09TRLKLxY1QOoR2CDzZdkPrxjCuVSob4\n8NAALtzc3HR9jvMpNTLvqdFoSJIV7NI7E539/X1HOfT7fRspDlspDGsMKX8wlESHyImGPGs4l4XJ\nZKVS8ci+0+loa2vrXvf/QZUZ7DRM1MCG4/G4Op2OPzRQBTRs2AOcnZ157I1C5erqSktLS2o2m961\nEYOen59rd3fXgllkVLjgD0f1Yn5CREI8HjdPpNfr6e3bt0omk05xrdfrxmmZstVqNaXTadXrdYXD\nYXU6HfvrIdXCaCabzRodwN0JXLjT6ejRo0cKh8M2aeH0mJubU71e19LSkmOHpXcLHY8QCEtIyaDX\nYhozOTnpQKPhQVE4HNbBwYEfPKaUvBaU1ve9HhQ5/2//7b9tE0BgNpwrhxUoxA4fHBzo6OhIH3/8\nsQF91MZ4NeOPHA6HLTfiuIYlBs46Pz9vUxOk+pCKbm5u3CTmcjmVy2XzKOBo4JzPgwOpabjuTyQS\nHsljoojhOIT4arWqqakps/p2d3f1rW99y6cA/GfKGfyq4TpDA221WndqaWrtRqOhVCqlsbExG7lQ\nKpBwi9KdySBIzXATGolEVC6XXcIUi0X9o3/0j35Fzpd+kZQKCb9QKOj169f66KOPdHR05A+YkoIj\n+vDw0IaLpVLJE7z9/X1ze6EukmmXz+e1s7PjmjUQCOjVq1caHR3V/Py8tre3TX9kFI3ItVKpWKOH\nO1KlUjGnmZwTckRCoZDK5bINWCQZV6aUgNfADkzONrsmKpiVlRV9/fXXzvUmIqL4TcYgDSS2Yclk\nUq9fv9bl5aVPqNHRUX311VdaWlry5sH7hCW4u7vrhpoyazhVFjEDJdvs7KxLn/e9HtRipsumEWFh\n0T0DO0myjAlGHKPfhYUFvXnzxrBSOBx2OUANyKKEbgkMxTQPuf6wGgMOMv8el1Iu5PnDptx4SoC4\n5HI5fy+I/DwAkrzQh/8MNTe/ppfgfcPbgPuNcBc2HwaInEiSHF3MAmV83u12NTMzY9gvmUyagssO\nDe+70+l4uMQD/Jc2O/s/xMXkid2KxYeJCqaEQG+4V4bD4TvHH+76sVjMyIj0iywU0AteH8MW5Eaj\no6Mm+1BqYHGFcADlBgMTMFeIOPF43AMVoC3MbQiFpCSoVqu2t6L0IOUV4lK73VYkErEPxu3trfkg\ngUBAR0dHDrVkiMLPy4ibngFv5larZS43AxbEsbwOny0lCra7YMq9Xs96wPvuzA9qMe/t7dnkcHNz\nU5VKxSUFknZgqJGREdXrdauxSRUdGRlRIBDwv+t0OkqlUoaSJBlSqlar7uLh5lYqFW1tbdmNk1oX\nByJqaRCPq6sr7e7uqt1uW+18fX2tvb09HR4eOvEKXBgDGqBHPI1BZo6Pj/XixQtVKhVP5N6+favx\n8XEz3GC3EbFMs4k2sdfreZrKZwcfZXt725O7eDyuvb09NZtN1Wq1O2XeMCWAzwlC0eHhoX9ebL2C\nwaBr/Pe9HlSZMTwho7lCH5dKpRzzQPc+MTGhly9f6pNPPvGCxrQ7k8no6OjIaU/hcFiJREJbW1u+\nKdPT0x48gPXCJgPRYKiA38Xo6KinYcBSkjxgAPdNpVKq1+s2rMGAEKXK3t6ek6WwTYjH41a+MJYm\nLTUcDvsYj8fjOjk5sSkkk8TR0VEnP0nya8K4I59bkss50m4RCtDoSvLnv7y8rE6n44EKYuDZ2VkP\nfXiv97ke1M48Pj5un+VIJGLTQxx5jo6ObG5IVBqxwEj+b25uXFfncjlP0jhyce1BG4gtF8c2Rze1\n5vz8vKFCxtnUrTDjSqWSDcYh6qAdZPLG8CYYDNriQJK97vg54UxQ06LwiEQiOjs7UyQSUSAQ0PT0\ntJl2PCDSu9qdBxSXfQhJ8XjccCF1NbtwvV53WYVYFU8Oml1KsNvbWy0vL/uERIh73xiIB7WYLy4u\nLF0iVbRcLqvb7drWFVVErVZTLBYzk+7k5MTG3NVqVVdXV84ShCtMSCVCTsbYku6w6SYnJx1ttrW1\nZfhN0h2MGF0hN71eryuZTEqS3Y8Ir4fM1O12bWiDEBTK5eeff24PakmexjGoAUuvVCqmWxKPMezz\nDFR4enqqUCikZrMpSQ7WxAcDQhG5MMCQt7e32tracp2NrS5ErvPzc7169coPCyP7QqFwr/v/oHDm\nv/k3/6b9LSYnJ+11vLS0pGq1atEmVEQojESCkVaFofjr16/16aefegoGXgonAaMVjARZtMj2W62W\nZmdnFYvFvAuyWIgwi0QiHm0z6ctms1aiSPJkjaYVPkUmk/EQY39/326k4ONMMG9ubuw7jUcIA5xK\npeLSAtRmdHTUwZhg5kBoEJYuLi5MKOKziEajHgZtbm4qlUrZZqDdbmt2dtYNOCUIFINEIqFyuay/\n9/f+3nvjzA9qZ6ZZIw4XDsBwOurNzY3H04yHaYBAAMhEIX+DoHWon5hu85rDQZVIpBDSBoNB77KI\nXBlWkHjFAwVPuF6v69WrVz4xkGNhDTA7O6tKpWJZE5gzxPmzszPvqrw/rGYpFchqGRsb83u/vb3V\n4eGhkRGaulqtZvydMT4kfCIyIBIhNID/wqQUpyRQCx4APq+rq6tf8ZmHLxTZuOdDjEGRgcyJ3Qby\n0OjoqL3dIpGIXYkIkCfeiykXHNzhXZlG6fr62goN0ILhmpUSCBgREj2LnFOFDBXYf5Cc+v2+9vf3\nNTs761OEKSW2VzSsCFWLxaJOTk78M1C+9Pt98zCGLQYkGXmBT4JBzPX1tWKxmBYWFty0MjBhx2+1\nWnY0pQGm9JmYmLDpSzgc1tu3b9XpdMwVv8/1oNCMTCZjUj2NHBMxEkZRUXS7XaVSKYenN5tNLS8v\nq9Vqmby/t7enxcVFRydMTk56tA2vIZvN3jFVgRXGAgZDjsfjPimgg05MTNx5ULCNpYxgVxsZGXFp\n0+v1lEwmPXCZn5932QRj8MmTJ0Y0UJ/DEUkmk3r79q0fZBCUpaWlO7pBFtbs7KyazaYJVUCf7LoM\nXvCPnp2ddXgRmwrWuVAF1tfXfVp+9tlnOjo68s91n+tB7czDlq/Yxe7u7jqS6+XLl+YrDwYDY8Ow\nw6rVqiYnJ/X8+XPvcBzJkH8YVvT7fUNyHM+lUkntdtsunxMTE34vBwcH2t/fN+cXQtPV1ZVH2dgc\n4Ex0fHysRqOho6MjW9sy+Hj16pXZcjSvTD1PTk7sqk85sbu76+YWyRK8FeRNaCgrlYqCwaDevn2r\ns7MzZ6CAwQ+jQyhfGKcT6fb1118rEokYb2YMTloW+styuWxt4K9yAH/pIjt7GCojOJI/I4SSpgdI\nCIQBaQ8JSXTqGGzf3t7ao46bgyLl6OjIY2vk9LD0JicnPR0LBAKuw/H0GPa/oJwJBAKuMylVGGqA\nBtB8RiKROxM5xviSjF/jDEpwEfVxIpHw2Bk8m4cRghA2BmDplENMERnHU/dL8oAF/D8cDruZJYy+\n2+3ag+Q+14NazMSJQUHEBhZ39unpae9sKDaIGh4fH9fs7KxrQnBbeA0sOoz/CN6h+clms5qamtL8\n/LxisZjy+bxHyywscFmINpCUksmkuRt8fTQaVaFQsO0WC3xsbEzhcFjz8/Oul9kt8aKmHia+AsXJ\nzMyMm8KZmRkvUFANkgfAiYfH15QwsAQxv2FQg9Ib7jThQNFo1PcGrnQ2m7XmL5FIKBgMql6v6/Ly\n8l73/0Et5tPTU01OTt4xGMRwm6gCjmJUH+zA0i/Sqqh/WRRYyFILD4P9vB5BOZJct0tyXUrdiJE3\nO7kkZ1oz7GCSxi5HLcsDQSmBAyiNGpNHYEkmcwgU2OkZkPD+JHlHl+TPhZ9XkhOvKGcY4HDKwEXh\n52YXxraLyGIEwfwawS4ozX2uB9UA9no9k4kqlYpD0IkvYLGR2wwufHx8rEQi4SMPrLrZbLo0YKer\n1WqWWqGiGCYjATVdX197zAwP5Pr62to4BjeRSETVatXmiVggMBW8uLjQ0tKS5V63t7fmg/T7fW1v\nb3uHhf9MbY1O8PT0VIVCQRcX72IxGNUDPYJdk9gaCoX8ELNoQXIw0ME7D3gNTSO52PQEIDCcmBin\nQ7DCHAdnpvtcD2oxLy8vGzNGcZxMJq1CPjw81OPHj5VKpdTv9zU3N6dXr15pfn7ecBFyJYSfhULB\nZts8LGNjY44qGxsbs3QIgSrdPHUxnAjqRY7ieDzu6Ao0dHjWjY+P6/DwUOl02lTSwWCgQqFgk5dE\nIqGlpSXn+EnSwsKCNjc3lc/n7VIkyelXDMkogchDZKJJ/mA0GtXs7Kyte1lok5OTVphjMcBGAIQI\n1RZsGzuvTCbjUT5+GwiJf0U0+qXr4ODApUWxWLTioVKpaHt7W4uLi25MksmkSqWSTk5OdHx87NIh\nFAqpVCrd8U0jtw6SfCKR0Pb2tjqdjhKJhBs3Fj2aw2w2q2Qyqc8//1zZbFYHBwd30qVglDWbTU1P\nT1shgh4OTjUG6ATb4LbPrthoNDwlRHaFSoSQeDDg4bhfGkkGOIVC4Y5K5+XLl1ag9Pt9RSIR7ezs\naG5uTo1GQ6urq66nKUGgcw7bKVSrVYVCIW1sbCiRSHikT5gSGPe//tf/+l73/0Et5mg0asd7TALZ\nfZDhU16Ew2FFIhF7UCB5v7r6ReZ2qVTS3NycO/FoNKpHjx4Zw6aRHBsbU6PRMCowNTWlZrNpf2Ka\nQqZ0CFmHE5dwM6Khy+fzrpsZceP5wQ47MzPj0+Lt27cmWUny4uOBZleUZK+L4QwSGs12u22fan5m\n6V0/Uq1WvbiB59LptLrdrrLZrPsSppAkyaKuSaVSxt6Pjo4c0cY9+uSTT/TFF1+89/1/UA1gv9/X\nzMyMlcXkgQwntwJnsQgjkYgbJoSXLGgoiuwkHJGQe7gJ0WjUQw4W88rKitlmOAdJMkmIGpQpXyAQ\n0MzMjGKxmBlmDC5WVlaMqkBmIu0qlUopmUwqHo9rdnbWdl1YEpyfn5vrfHt7a3Ny6KcMlnhIoMwS\nJg/n4vb2Vul02uw5lC70EjyYpBA8fvzYmYeUQMOREisrK5qenvZgh//f53pQizkYDKpYLKpUKhnR\nOD4+NuQDrjucEzIctINjD5gsJBweBIB+OBksymKxeMfSCkrk4eGhPZ7xVy6Xy7a8BceGhbe3t6dS\nqeTG7fr6Wrlczuw/lDFo7oLBoBs8QnaGs/6gXvb7fR0cHBiRqVQqNrVhTI16He83vj/fo1aruYGr\n1+tqNBoO70FMgA0X0cvYDjBBxRZ4bm7O77vVajmo577Q3IMqM9LptJlaFxfvUptyuZzH18SmgTBk\nMhmVSqU71rTIq4aTVcfHx12KMHWjhOl2uyoUCo5JA6dOJpP2W0NIy0JbWFhwqYO5YiKRcCNZq9WU\nSCQsDqBUGQ7xkeSaE/gNm16a0lQqpYuLC83NzalQKNitlAdkuCxghx7edVFk39zcaGVlRZ1OR/Pz\n85JkhiENHgYygUDA42/qYh7m4XqdfgC52PDw6n2vB7UzQ9phuifJNShDABowPmiySKBBMsxgp8ag\npVQqmYIJXgu2C8wE8RybW2AvKJPgymQSgt1KMlEfNhlKFSaScDTAxYEGsYOdnJzU/v6+J5X8/DSM\ncJLB1xl0BINB02IhYPEz8JnwEEgyR5mwTH4GRueXl5f2qoNiixSMB3PYRBGN5rAS5n2vB7WYkd5L\nUqlUUr1eNxmcupfGplKp3HEMRV3MqJdjEItZoDMUI1dXV1pcXDQzj10WMjujbB6gYRUy+X/Fb7JC\nms2md2Wmfdvb22o0GpY04X9MzQuMeHx87IWJoSELCV7F6empVlZW/q0dm4eKRc1uC5TGAuckOjw8\nNP7c7/c1Ozvrmh9DRAZOu7u7pnpS+8/PzztCgxOC0yYQCCiXy93r/j+oxQwVkqgzpk2gAF988YVV\nJNTHWMjCRYabwDQMiI0F2Ww2Xe/y9fv7+3fGxzhlBoNBUzkvLy8t12fwMqzJA6GAqD83N+fdn4YT\n2T7Iy9jYmNbX1z1KluRAePLBcd7/+uuvbZEF/DY6Oqpqteoe4c2bN6a3UiqNjIwol8tpYmJCT58+\nteSMh5zT6M2bN45shlkIJRZBL1NIsPiXL19qa2tLvV7PlmX3uR5UzVwqlUzfpB5EECpJ3/72t5VM\nJp1wFI1GzX9eWVmx+SHcCthmHPk4XTLsuLi4UDabdX0IFfL8/FxLS0va39/3eykUCg5oJ0Ma/jFl\nDST9er2uo6MjPX36VF999ZUNBcHJQQzYAaemprS0tGTTcYhOWM7WajXNzc2Z34GKPZlMKpfL2csC\ngxxcP7HYYlIJ+sFGgLi13W7rt37rt1yCDAYDPX782J55w9mI2Dc0m039xm/8hv75P//nSqfTymQy\n2tnZudf9f1CLGQfNy8tL7e7uan193aNWVAy9Xs8y+WKxKElOlBoMBspkMnrz5o1dkRYWFiy5oo5k\nLHx5ealms+malPqXAQniWcoYasWxsTE9f/5cT58+VTAY1P7+vnOxEQUkk0ltb29renpaGxsbGhkZ\n8S6KgTcE/evra2vv4GdgUXBycmKIbGtrS4lEQuFw2AT+WCym3d3dO7yM29tbLS4u6mc/+5lWVlZM\nqJdk1IMyKZlMKhAI6MWLF4YtB4OBSqWSVlZWjOKAr8MrCYfD+slPfqKZmRlbKvAe3vd6UGVGo9Ew\nL4BdUJK9j+Ets4NVq1XX0wTq4IhJWurR0ZHd4rGgpU5sNpt3Xocmbmdnx4lWKDHgLWPyQh429SMl\ny97eno968kmgRkJ4Pz4+9micqIZyuWx6KqbjrVZL/X5fxW/yqiE6MZpGmAo0iRcdJjb4MdNUYzXG\nQwcVFHX1sEUtmwpTyuEkLHB0PhMU5m/evLnX/X9Qi3m4SwfQH5YtkXCEreqPfvQjHR0dKRKJ6O3b\nt5LeWVtls1lFo1Gtr6+bOwFycXR0ZC84OnCQA2AscGK8JiDdo+6QdGf4sry8rFQqZU820BEgLnas\n4Zhi8OlUKuWSgtiFRCLh4c34+LgFvcNMPPw7Tk9PlU6ndXNzo7W1NROFfnkEjv9GJBK54/rZ7/eV\nTqdVKBScIAs/Ay44TR42tpLMHuQU4IS7z/WgFjO0Q2pKfs0ABVgunU5rYWHBNrL8ORBRuVxWr9dT\np9PR9PS0R9O4u+fzeeXz+TuUS+pv6sTb21tTGkOhkGZnZ73j8YCgXAYxQIRKWGUkEjHjjxIoEonY\n4wNvEPgOTOuowcF1IS/hyREKhRSLxXR5eXnHN2Rvb88NLGSphYUFE51I5Uqn0woGgyqVSpqamlKv\n19Pe3p7a7bYDRCuVihc2ppPBYFDz8/Oan5/3OB8l+zAJ6n2vB7WYQSdubm5MbpFkiAmFdL1etzUU\nUb0wwJDic8RWq1Xb20LgOTo6Mk5aKpW82OLxuMWww87zt7e3llPhA4d8C686EABQEOpYBigc05eX\nlzo6OlKr1VKz2bScCuTg4ODAxCGwbyaGkvx/4o7fvn1rzJgUWUb62MyC/tDgMoBiweOfQfnBlJVJ\nI7xq+pCTkxMr3KmnR0ZG9OGHH97r/j+oxYw6hFKBiyYpHo87Xo1SAguqYWokBoUYfQ9LmbLZrCOH\n4/G4d2lQDMoWdmsGG+l02qgBJCdMt+GJ3N7eupRYWVnR6Oiocrmcxa9TU1OamJhQNptVLpdz+A7l\ny9TUlObm5pROpz3lxB9j2AIrFAo5LXV9fV3RaNS0WHR7DJbW1tb8QOLkORzaQ+kGR5zPPxKJ+GRC\nZhaNRpXNZrWwsKBcLmdRLCY4NOTvez0oNAMjwlarpePjY3344Yfa3t62pB0ojV3t8vJSGxsbZrHB\n9nr16pUSiYRevXqlxcVFHR4e6rPPPrNJYC6XszsPwtNIJKK9vT1Fo1Ftb2+b6TY+Pq6DgwNPxpia\nbW5u6oMPPlC1WlWxWLR6Gbejw8NDLx6mfNVqVYlEwkMVSoLz83Pt7+/b3LvZbCqZTOr4+NiZgtI7\n4QDE/1gspnQ6rd3dXbMCZ2dnLQpIp9N69eqVwuGwPTOmpqb085//XB999JEdkmjc+Gw7nY6mpqa0\nt7enTCajL7/80nU3zeBwhszOzo77mFevXt3r/j+oxQwPF4J5KBTS6uqq4vG4VlZWHGqDrzF1KHjr\n7u6uBoOBlpaWlEwm9fjxYy0sLHgYwq6CNVY6nVar1VIul3PjRkQE0cU3NzeOLSYkaHJyUh999JEG\ng4GHEpQwpFHlcjmXMzSGKysrFtKyMyPnxzqMmhUKLMY46AehrUJ/xUBcknd4pqOYiUvvUJ7b21s9\nefLEuj+GH4VCQZ1OR6FQyM3msCYS7nQoFFI0GvUDSv+xtrZmUevGxsZ73/8HVWZgmI0iA9wZZGJy\nctIZf7lcTs+ePdPp6an/TS6XcyYdiopOp6NcLmfhar1e947b6/X05MkT8z+y2azm5ua0sLDgehAD\nlGEjQ7gT/DqVSrk5oxbHIxp6JzxsBLnPnj1TMPguzphgnqWlJTeF7JpLS0tuvhKJhCYmJhzhQBmS\nzWYViUQ0PT2tQCDg7zkzM6NoNGojR0ozAjLhdo+Pj2t+ft4G7vQctVpNIyMj5jED5RUKBU1MTGhu\nbs5wYSqVcsDo+14PajHTZAUCARWLRVM9z87O9Pz5cxv6Yc79xRdfeHeDnthoNDQ2NqZyuazNzU1d\nXl7q5ORE09PTZr0dHx9bxEouyvARyv85HfCWgITPa1OfHx4emhkH6R/vOHZrYuGQXf385z83rl6t\nVvXy5Ut/b4KJcHhqNpuq1+uOOAZmBFEpFosql8u29cJa4OzsTLu7u44SrlarOj4+tpH45uamEaBS\nqaROp+NkXMx0sHmgyTw9PdXx8bFubm5Uq9XU6/X01VdfGWu+z/Vmi5xbAAAgAElEQVSgFjPuPufn\n5/qzP/szjY6O6uDgwDXbq1evbDyCbxyyIfDVRCKhr7/+Wqenp1ZWswhgjjWbTVMaOWa73a62tras\nzGDYIL0zAoetBkWTRXp5eelQH0QEqEe2trYcwdZqtcxXrlQqJgKdn5/r6upK6XTa9gmvX79WtVrV\n/v6+ud2zs7O6urqy1g8PO4ZI5+fnOjk5sWXY5eWltre3LQPb29sztMgIHNV1rVaz+oSHF2gQY5mj\noyMtLCwYbx7OP4lGo2q1Wvrqq6/udf8fVM2Mp0S329Vf+2t/TTc3N1pdXVUymbTwM51OK5vNuqwA\nm4Vi2e/39cknnyiXy5lY/1f+yl+R9M7+i/Ew/sZAcLFYTI8ePXLJwjDl7OxMn332mdrttknpg8FA\nT5488ZELNRQIL5FI3DHehnXGQGQwGCiVSpmFNkzFpJxKp9OeFHa7XZ2cnFjCRN4gCMfq6qrVHsvL\nyzau+e53v6vJyUlls1nnhwN3UpsD4/HgxmIxW56xIaTTaT+olHqS7A6VyWQUjUb1wx/+8FeyKS6i\nG2i0kCZVq1XVajWb/cEfGB0dVT6ft1VrLBZzHASKCZw48dGIx+M2Gm+32zZMCYVCHnsnEgl7uzF+\nHuYJgy9j78VuhhcGBi0saKyvksmkjo6OfByfnp7aVkt6xzvhCEcihqPTo0ePrG1sNBoeyRNkn06n\ntbi4aNYh6hTUO8COGNnABMT1iIcJByOMXqLRqEZGRlxyQGcl/HN5eVmRSMQeG/e5HtTOzA41MjKi\ng4MD+1kMa9ngAsTjcSeHRiIRzc3NmR4J3ZIanIFLIBAwDMdNGfaH6PV6HlpAA81kMqpWqx7jhkIh\n0zsxUcRNCLX08fGxJDk6DSiQIxlYEP8O6Z3NLjxl+A/QW4H2GGAkk0lVq1X1+33zVygjGLTADqxU\nKrYWuL29dckFFZQdGcadJH8O4XDYbkVwvYf1hpRK8GBAVd73elA7M4MPjPkwKSF+YGtry+6dmKnU\najW7WfKhV6tVx5uhhqBm5TUpBejGa7WaoT+kVTwMmLZIshigXC67QWNixn94KEMc6na7Oj091cbG\nhrHlVqulcrls1hqqDlhphPocHh5qb29Pt7e3Ojg4UKfT0dHRkUub6+tr1+ULCwuuo29vb23OyKST\nGh35GA/y7e2tzXBarZabOd47dAL43GDbp6enOjk58evcN6H1Qe3MkUjE5BYmaOl0WpFIxFkky8vL\nCoVCymQympmZ0T/7Z//MdrFAXN1uV/F4XPPz86ZPXl5e2hL38ePHDrZZWFhwlARY8/z8vKeINzc3\n9rgbHx+30yg70/T0tB49euTuH4LU4uKiY4lpULPZrNXTa2trNm6EaA9feGVlRaFQSIVCQWNjYy49\nstmswuGwCoXCHQiNYQdQH43tt7/9baXTaY+hCT2anp5WrVbT4uKid/JMJmMLsqurK+/8YMsgOXz/\ndrutxcVFvXz5Uo8fP5ake8dAPKidGf0eFyaFsNfW1tZULBZ1eXmper2ufr+vx48fO42KHWTY4xnC\nUCqV8g7/5ZdfWr1cLBatokAYgLcdWC0NHO8Ft3m8JqhhIfUMBgP7w11fX6tQKNh7mjp6a2tL5XLZ\nqAoPE0rnfD7vEwIbLHZ73O0xbxl+uCYnJ83rIBGA6R6CX8br8DcmJiZUr9edb0Itnclk/KDBz0D1\nDkc6l8vp+vra2dz3uR7UYoYQE41GTU4ni6Ner2tra8seD0jucTN6/fq11SdgsGSDfP3115bNM4lj\nocDvoFEkx3pkZMTaPpo+rArIy2PnpmY/Pj72Qs/n8/bG2N/fN5WUU6PT6SiTyVj9AhIivSsdSqWS\n2XTDVE6YhJRfk5OTOjo68klCs8tCRYMIFxufEMwVpV/0KsCgDITQVHY6HXU6HaMbpFIRiwG0R7nx\nvteDKjMgq+DbQJcNUiHJtSq7GRo9iEQ0gWj6qP/wRBv2bwP2YpLGwqRposnDt7jVat2hbCLkRCUO\nFRIvj3a7rWw2aztdGjHizIZ9pQn8wdeDxpDdEM4yu2a9Xrf9AaYvuC7xmWElgAfd0dGRxQXs5nwO\nqVTK2SUkVfF3nJYgIQyFyMvGz46I5Pe9HtTOjL8DKmwGHbgKUdtSa+I/zA4JjIYkfnT03bM+DPfF\nYjFDa8M7D7HAQE4ou6VfxDPE43Ef4SAVktwETk5OeudCns+uNzo6qkqlYuJQIBBwQxUOhy3jAn0B\nmqTxg8BEaQGycHFxYUISuylWDZw05+fnajabLr1wSqVR5AEafjCHjRVRyKPG4TNBcAukivPS+14P\najEPW8HSsLVaLY2NjdlDeHiHDoVCRjbYibChQqFC6lS1WvXRyhSPwJ2zszObvtze3nqU3O/3TSBi\nhI6ae3JyUqVSydxg5E/sbJubmybZB4NBR0O0Wi37Y8AVYRd+8+aNjo+Pjaogeo3FYo5sYFemUW40\nGuZkQHyiyUSXiHoaM/ZoNKpGo+ExOzg9kCeWZqAwlDfHx8dGT4YTsEBJMpnMve7/g1rMOBChZxtW\nOtze3lr9wI2U5OmWJDPeyPTAulZ6J+GnURkMBvYjnpqaMg68v7+vqakplxXVatU1eD6f9xEOJyOX\ny9kSgBAfJFM/+tGPvHujSwQdGB8fVzweN7EpHo8bffn2t79tHw+ywyORiHkbOBm1222dnp5accKw\nBGf8WCzmhjCXyymXy7khjUQiWlhY0OjoqG0dGDRR2tHwYRXM0ArHqPX1de3v79vPBAHCfa4HVTNf\nXFxoZmbGtS81LDZTn3zyic7PzzU2Nqa5uTmdnJwok8mYq0sjx/E/7J8xMjJiKRZH+KNHjzykgPnF\nTcRY8fb21mYneEpwOhCxEAwGlU6nTXIC2sKMkRAg2HZzc3OWKeFGNDIy4qRTalS8Nfr9vubn510m\nZDIZoweEaQJXnpyc2OIM32gQD+A58lpWV1c9jSR2jQYQZuHc3JwhS5z+8bRbXl5WPp/XxcWFy777\nXA9qZ+b4J5MOIWYsFjMzLh6P+6aOjIxYWZHJZFSr1TQ1NaXvf//7bhDZvSYnJ3VxceFSA8ssdnB4\nIZIc0l6r1WwEg6M9pcvs7KxqtZoajYZVypCGbm5unI+NF0ggELCDEIR2bHfhITMsgrjPxVSSBxw+\nBCcLDR9oDVNGeMoIejnhOJmIP+ZzB/HhgaLeZ3hECUbWYbfb1Zs3b4xr/yo6behClsRiBUKi7qS+\nQ7dHg3Vzc6ODgwMfc3/4h3/o6Vs6nb7jr4FWTpL1gpQUBwcHSiQSxrORUwEXwiG+vr5WuVxWLpez\nUeHc3JwpoMFgUAsLC3Ye2tzcVL1eN3S1urqqvb09n0SMg+Fw83PTA8zPzyuZTKrX63l48/r1ay88\nIosnJia0s7OjUqlk1Qk2teDltVrNBKphxAJbA1TjX3/9tYlc+PrBz8b+oNfraX5+3o1qtVq91/1/\nUIu53+8rk8nYlHA4nFGScU7MSIhE44hjEPLhhx+a9AJsB1yHmSHHMK6fMzMzSqVSOjw8dK2MTInd\niJIlEAhYAApKgkcH418WMuoQUBR2RkmGzXgAGBKxAPlMQAwoc66urjQ3N2cWW7/fNy8EVcpwqBEN\nGooWampMbVC2876ur6+VTCZtMHl+fm6yfr/f1+TkpObm5swN4QFH3vW+14OqmcfGxrS9va1ut6v1\n9XW1222LO/lw0+m0+RMTExPK5/NKp9M6OjrS6uqqaY1Pnz7VH/7hH7q+pWm8urrS0tKSDVlSqZQb\nRtJJ0+m0yuWy4yQWFxdNsfxlb4zBYGA0g51/cXFR8Xhc7XZbpVJJS0tLarVapo/u7++rUCi43oQA\nBewVCATuGH3jj4zdQSwWs3i11+vp29/+ti1siTzr9/taXV3VYDBwJgxGjuQR0hwTsoMpJWaR+EPj\nAYi6O5lMqt1ua35+3v7Ok5OTtvt63+tBLWacgjqdjv74j/9YH374oY1UmKKxQ62srOiLL76wb0M+\nn/ei3Nzc9OBhY2PDdTblwsbGhlKplN68eePdV5KxamRS1KTPnz/3AiADGyPFm5sbvXnzRoVC4U4Q\n/YsXL5xR0u/3nfsRi8XU6XRcH8M9xpUJke7c3JztDEqlkr7//e/r5OTEtbokl1kvXrywcQxj+Xg8\nrpcvX2p2dlbtdlt7e3v2jF5dXfVUMJFI3AkDBREJBAJKpVKqVqu2FeO0qlarmpmZ0cbGhnf9Z8+e\n6fnz5/e6/w9qMRcKBX9wy8vLVjUAh+FjAaUTdfT09LQHJ9Sr+XxeZ2dnWlxc9DGIrSuICYaJMOlQ\nZGOezQQQOf38/LxVzVAiB4OB1tbWPGRh6LC+vm63ULBnFCEYM/LAcOJQk1L6HB0dKRQKaW1tzQYu\nfAYMhvr9vpaWliTJiAjvIZVK2QckkUjo5OTEQlVKFghXPOwY1GD7tb+/r6WlJX8/kA5Mxo+Pjx1G\n+qMf/ehX5Hyuw8NDCzorlcodUxKgNaiRHIO/vMNJcnqT9E5XuLOz446dhcCxj29dv983T4JjFWND\neBPb29tqNpvmOMBt6HQ6LitCoZDq9br29/ctYRo2UgECxL8ZK9jz83NVq1W7McGVDgQCOjk5sWSJ\nKDbw55ubGyMdGExSu7bbbR0dHalYLOrg4MCIR6PRMC2AQM3h3MHb21v//4MPPrD0CtnY5eWl3r59\n69INMcHu7u697v+DWsyMR5m84QgEtMQOwoeeSCRUrVZtvI3hNzAeOCuqk1/2Nr65uTHri6HMsPsm\ni5YGk4UNG43mEzYauYHAhpisVKtV78qQ5nG5Z8qHhQJ1PQuEKGJOCppESaZk0pgyCkeMS0wyWS1o\n+ygrMDPHngBMGvRIksM8edgZxlByZDIZw5oHBwf3uv8PajGvrq6qXq+7XKDGhQ3X6XSMQ0vvatzF\nxUWl02nHeJHElMvlPEzI5/NOfo3H4zZNYYfLZDJ2KSoUCmo2mx6CAH0tLS356zBNhMMAzkt8wuzs\nrDKZjOMp4GywqHZ3d82RxkgRhyUsDdj5QXDgU1AOTExMWGXNZ4VHH+VONBpVIpFQLBa7Y8GwuLio\nTCZj9t34+LjLBsxlJNmHjocTQcDk5KS51LiXBgIBlzvvez2omnl3d9fH3fn5ufb29ky3pAbc39/3\nbtPtdo0NE2HQbret2aNmBXVgB4rFYrYy2NvbM/m/Vqvp9evXvpnpdNrQ14sXL2xSA77MtI2pZKvV\nUiqVsgni5eWlR+E0c1iQHR4euieg9gyHwx5Tw1tGvEpNzVTy+PhY6XTaGSmUQiAu4NK8FwI9JyYm\nrH2Eu4EFA+GeTFKhsqIXpDSbnJz0hJNBCZzw+1wPamcGhqNhWVpa8s41Njamer1ujgFH/szMjNLp\ntK25njx54ro7m81qeXnZdlWIUlm8iURC3/3ud40m3N7e6tGjR3ry5ImpoSwERr/sZrVaTY8ePdLk\n5KRSqZSWl5f15MkTTU5Oanp6Wqurq8rn81Z1EP1weXmpubk5188EZgIrzs3NuWxZXFzU5OSkgzuH\nU5442ldXV72rT09Pm3jEzwv3BKW79Isdt1qt2jASE5tkMmlbBfoLSplsNqu1tTVb7cIrhxY7PBN4\nn+tB7czNZtO7BbKeaDRqwxG692AwqEAgYG4E4D66t2HqJey6ra0t831xGu10Otrb25Mk7+KlUskN\nEWP1P/mTP7FUiRMhFoupWq2a2IRjJvzjvb09zczMqF6vK51OG47LZrPa2dnxoKVcLnsUD/H/5ubG\nSm44y5VKxZg0LkTdbte6O8j6MzMzprfigAoCwpj77du3Ojs707Nnz3R9fe3Phh0eI8jhGOZ4PG4y\nFqPysbExtdttnZ2dmXx1n+tBLWb4s+Pj43r27JnGx8ftS7G4uGhTP3Yl6suZmRl39clk0se99C48\n5/Xr15qdndX09LRGR0ddGnAShMNhZTIZ7e3t2RKLB6bdbnswgx6P4QEnxMLCgs1gcMn/4Q9/qO3t\nbT+c2GQxoSuVSkqn0/Z6ZtKILo8dk5+B8HXEslhvTU5OOrASg3ASAjKZjAqFgsOJarWaUqmUc1cu\nLi40Ozvr9yy98xbBfw+vEkk+qRYXF525CPID7fRXCa1DF2Pdbrerr7/+WsFg0C6UlUpFh4eHOjw8\n1Pb2tq6urlQul81VZiJ3cHBg0k+xWNTp6amurq684EBI8BVmZz05OTGBiCkd/GluEgw1/C2w/Nre\n3la/39fTp0+Nxe7s7NihHnJQsVhUvV5Xs9m0OppBTSAQ0OLiog4ODryA6vW6Tk9PtbW15UGGJDsN\nYbfVaDSc2wJXhZobH+dhx9F2u+3FSUIANNZGo2HUhO/faDTUbrfvOJyCclxdXRntuG/a1INazBi+\ndDodffbZZ7q6urLJCP/P5/MqFAoaHR3VysqKj2IooaFQSOvr60omk5qZmfHflctlp5hisBKLxVQu\nl410wMmlDDk+PtbU1JSNZiS5Ycpmsx7EzMzM3IkNptEjjAcxKcR3VN2SPCYeDAY6PT1VJpNx44m/\nRTabtf4RVQzSL3jR0WhU6XTaeeH8HdBkrVYzOR81tiSLGOCRsODBkDn52PUlGTFBG0lZ8ivW3NB1\ndnbmm4F3MtBQvV5XJpNRt9u1l1qn01GhUPAuglfa/8Pem8W4mqb3ff+vdq7FnawiWfvZ+3TPTPcs\nPZIVQbDsXDibA8QOksALYASyIyMXUSLpOjGsIIiQQFGgwIHgC8NyvMSJBRuxJDua0YxmJtPdc06f\npU7tVdyXIllkVbFIFvnlos7vaZY8stqn0NKoMB/QmDlbcfne732f5//8F4YfDA3gZ9Tr9Wv+Fycn\nJ3aDLi4ujCUG8uHz+XRycmJ/j+iDUChkWK7X6zWVSzKZVLfbNZ4EF2NxtHIsDLB03juEJthxDI3g\nI1OToh6BXcdnA3kBEep0OqbS5kFFZAveLslw9PHJJgOZ8SYYk5jRaKRGo2GRbGR0jyvr3+S6VYuZ\nZocvfLwOnJ6eVqFQUK/XUzKZtJ0DqIuufzgcqlwum98FmXh4x4HFMjjhxjO6ZljA+JZhBna2sNtg\nm0EjdRzHms+TkxOTYU1PTxtnpNvtmqMQMBZ4LU3VeA4KC4oHFJI+iAbMwG63q1gsZsoR2IAgEjAR\nWbRgz0xFWYy9Xk/BYNCQIWIiYAbyHYIwIezlYYco9abXrVrM3KS5uTnt7OxYfVYulw11IHdvbm5O\nh4eHevXqlVqtlo1Sy+WyKpWKOp2OXr58qVKppP39fSP8MMqWPnFOAtuFuTYYDNRsNs2lf2try3Zr\noK9ut2t1da1WM+U2D+Dh4aEajYbV0/ClIbWPuxSRa/Ls2TPt7OzYz2MgAQoiyVz6qXtxYqrX6yoU\nCte85qrVqgqFgl69eqXBYKCjoyOdn59re3tbH3zwgT1U5XLZhK0Q7fnewc9xNCoUCup2u2o2mybB\ngvOChdmbXrcKzYAVNjs7a74T4LH4zY0f7cQmjBu/rK2tWWNHLcmYHKUFU7l0Oq1oNKp6vW6umODQ\nTNimp6ctkmw0GlmtSmorUB96ORrRQCBgp8rc3Jza7bYeP34sScavjkQitosi58JR6PLyUvfv3zf+\nMPV3KBQyVfX8/LxWV1cNIvT5fKrX68pms5Kkx48fG1TH6FqSiRNwkEIQwNic/G3yFwlCmp2dVTab\nNR0iOze5KD+MGx674CVAcqFLhqhPpw3uymJhyIARIHnQMNTgYbCAqtWqDTDq9bp6vZ6psTHfxlIA\n+T9+ERDlu92uyuWyuc1jik7IPELRcd5xrVaT3+83425qbcxbwIFHo5F5YfAZxk3EsQgjnYqdejAY\nWN0K0X44HBr5CKuu+fl5223JIWRDQFVCI4wxD7Ck3++3iWy/3zfvulAodGNo7lYt5mg0qkgkokKh\nYOLSYDBoqAO79cXFhSWyOo5jdV6/31c6nbbMkng8bhgtJB5MEweDgebm5rS4uGgkdOpwGqZSqaR7\n9+7ZZAs9IdwI8vTG6aSSzLd5MBgY3XR9fd0kSeOpTjSO8D1odpmEjjv+czrxsyHEwxqkIUQIzPSO\nXPHZ2Vk7RR4/fmykpHg8rkqlorW1NaMPJBIJC4zHcyOTyVgjiusSiVSoT25y3aqaeTgcWpAMPhXj\nTu6O46hWqxkP4ejoSKenp2q323rw4IFc19Xu7q6VFb1ez3YTr9dreG6hULAaGuspWGWDwUB7e3u2\n29PQwf2l2UkkEub8Q/oVu9Q4rRQJPyHrkoxKiqAUfwpqZOwQ8K9AroT5DdNAtJDlctkoo3jZwbsm\nExxDGOwWwPMhNL399tv2OXH+pxGn9EKWdnR0ZL6AYPS8xk2uW7WYoXpClSS4Em9iVMnoz7LZrJUe\n3/72t826ikRWnDeRYlH/xeNx88AA2oJcdHZ2ZrIq13XNfAV30GAwqOFwqEKhYF7PxPQiIAU9YMJG\n3ggS/3A4bAgMTReav06no5WVFWPxjdfpeEoD68H8Y7oJlEZp1mg0bFQ+MzOjXC5nKMrx8bEkmSh2\nb2/P/iwYDNqmgvcefUa5XLYyJRaL6ezszPqDu3fv3uj+/5EsZsdxQo7j/APHcV46jvPCcZwvO44T\ncRznNxzH2XIc5587jhMa+/s/5zjOtuM4m47j/Knf7+dOT08rEolci0qAAE8dV6lULKidkJzz83Pz\nnjg7OzM+QrPZNOcecFdJ5itMJAR5KaSOttttOY6jeDxuDc/ExITtiDSmOPrAj8hkMnJd19yLqO0Z\nO1Mzw2mgnMFii52Qh+/Vq1fW2DJAcV1XqVRKk5OTNvk8OjpSu902FyIU1bgucbpxwd3gIfF6vTbh\nG41Garfb9v+Hw6Hy+byazaZarZbm5uZ0fn5uU85MJmMWDs+fP7/Ruvqj2pn/J0n/1HXdB5LelrQp\n6Wcl/Ybruncl/dbrX8txnIeS/pykh5L+bUm/7DjO933fiEYxGp+dnbXpGR04+DBTKhzoKTNojODc\nwqzDgwPeQyAQUCKRMGNE+MVgtfPz8xYdxrROktXmNEaSzK4AxQf4Nzki4zHANHyu6xqxn2YTDNjv\n9ysQCBjagUKk3+9b2tXc3JzV79Fo1LJO+FmUCvy54zhmAIN4F4QHtTbNsuM418LqU6nUNTNGPpPH\n4zEagN/vv7Gl7R96A+g4zrykP+G67l+QJNd1LyWdOI7z70r6t17/tb8t6f/V1YL+9yT9Xdd1B5IO\nHMfZkfQlSd/6vT8b1hYkcelKkoRe7uzsTKFQyGAhqJ+INuF2EAgJNZGpHLIpNIXo++AZcCLQFBKA\nOe4bDbTn8/mMAplMJm0Xm5iYsOEKY21qZfjQjH89Ho+Gw6H5QO/u7hqJfnZ21oYuLEpgPhpBHEZn\nZmasVobMBNKDD914rHAikdDR0ZGFEUlXo+9+v28qGNxYx08EPid8ZxpX8GZEE296/VGgGauSao7j\n/KqkdyR9IOm/lJR0XZcOoCIJF71FXV+4eUnf12IdIsu4USCwFDgpjRZ0THI6KDP44hkTh8NhVSoV\nvffee9rd3bVGyXVdO2oZomATAC7Lw0GpI8ketlwup4cPHxoSEg6HbXdlR8c6Fs+K09NTexBprFzX\nValUUq/X0+Liou3CTNbGbWcZ6AAjnp6e6vj42BTVGxsbOj4+VqPR0Be+8AWre0FoXr16ZQ0msROS\nrHbH5R/oMJPJWMPL0ARrAdydaFbpL25y/VGUGVOSviDpl13X/YKkM70uKbjcq2/J/df8jO/7Z1//\n+tf19OlT/c7v/I7K5bKx3eAFAC2NRiNFIhGr4Uajke7evWs1M+mq0lWA5dramh3zS0tLxkNgN0Wa\nv7S0ZE6kHPGUHkz/eGiWl5etdsb9k+YVhTOYLUJc6JfoB7GKzWQytthhrLE7k3GCpAo3VPjMTB3x\nuwiFQlZ2YCZD08hnmZ2dVSaTMd4HJ1W73TYc/f79+8aPdhzHyPgMdVKplPFfXrx4oWfPnv2xNBvP\nS8q7rvv/vf71P5D0c5LKjuOkXNctO46zIInZZkFSduzfZ17/3r9yvf/++woGg9rf39fjx4+Vz+dN\nlf1n/syf0Xe/+12l02kLbL97966Oj4+VSCSMHonuLR6Pa3Jy0tyPGE9DwifUZ3zI4vP5jFyPsoUA\nn36/ry996UsWSIn75vT0tBKJhIbDob785S9rNBppb2/POA/pdForKyv6xje+YUYrHo/HzBghwUME\ngqyUSCRUqVS0vr5u43z42DRulDmZTEa5XM4WNLXvvXv37Ncw/BAQSJ9MAgmUf/fdd61hHBcwzM/P\nq1Ao6K233lKhUDDbsoWFBSUSCX3hC1/QcDhUrVbTr/7qr77xwvpD35ld1y1LyjmOAw7zJyU9l/RP\nJP2F17/3FyT949f///+W9Ocdx5lxHGdV0h1J3/n9fr7f79edO3d0eHhoFrGdTkff+ta3bOdFqey6\nrnGDd3Z2jOlGbIQkiy7GT2J6elrJZNI87KhRUX7s7u4aW02SjbQDgYCOjo4sCapWq5kbfiAQUCqV\n0pMnT8xCYHFxUdFoVGdnZ/rggw/k8/ns10RGcMyDHCCQxbETE5ZkMmkuoOz40pWYYX5+XgcHBza2\nH1fk5PN5q9Nx65d0zXCcaWUwGDRUZnZ2Vs1m81oWOK5L0F0nJydVLpetzKKxvcn1R4Vm/LSkv+M4\nzhNdoRn/naS/KeknHcfZkvQTr38t13VfSPo/JL2Q9M8k/VWXu/h7LqRI2FrhDo+vMPBQo9FQo9HQ\n2dmZNYGUG6gqkFOBeLA4YYjRCKJ3k65KksXFRfl8Pu3s7NhkkYeAcoMhCOYxDEhw9gyHwxbtwMBn\n3INuvAzC9w6E5fT0VI1GwxYMI2YWMEkB29vb14ZLlBUw/4gD5iSC+TaeMYhwgLoetQt4P98ffQLf\nseu62traMniS/oWH5U2vP5Jxtuu6TyR98fv80Z/8ff7+35D0N/6gn7u/v28+EjRBzWZTmUzG/Ihp\ndlgkH374od59913DodvttprNpu1IhUJBHo9H+/v7isViRpf9F/kAACAASURBVNLhz4DUQAoobfCP\nwOYKwg4wHrgxLp6MoPGdK5fLikajZiWLOsXv95sGEDtckJpqtWqvg3Ib1hp4NGT6YDCok5MTVSoV\nTUxM2E6PpAs9Yb/fV6FQULvd1v379+0hazQaeuutt8zRkxocJAYNIUIG/pzPBhGJh9l13Ruz5pzf\nZ5P7Y3c5juP+1E/9lHEvBoOBZWQTlwDXgBqQnZyJGlwHkpok2S5KXvbOzo5FKwCdkaFHA4ZxeaFQ\nUCqVMgMURtIYhKPLI9RSkqEgpMBCHOp0Okb+l64SWe/fv69CoWA539FoVK1WyzIF3dchl61Wy0wd\nJyYmzKAGywRilsHoCdyp1+smppWuBk/j/Gswe4j9Z2dnZopDucL0r9lsWrTb5OSkTk5OlEgklMvl\nlEgkND09rU6no1/6pV+S67rOm6yBW0U0kqREImHxB6SNxmIxM/wG/mK3LhaLZpoCL5luv1QqGeGf\n3ZFFxoAD0j0LgeOUUTDaOSxxwcCfPXumjY0N40+ABkSjUZs8MoZnEQK10RxiNH58fKxKpWLlDGN3\n8vcKhYLV2T6fT5KszJmamtLBwYHFSBCjkUgklM/nDc0YLyvGVTLjkCH6SPyaeah5IDmZKLXw/CCk\nfnt7+0b3/lZxM46Pjw0tQLlALciuMC56JZnK4/GoWq1aKA1JpixGlBydTsdEpBCCQD2QNkHex64L\notH4EU+cAqNvuAnjJKBSqWTUU6it5XJZZ2dnajab8nq91zSJlBeSjOLJg5tMJnV0dGTfB4McShEM\naeLxuJ1OExMTisViZuCCUyrNM+XD5OSkTUr5njAWx2EVSsC4IABeBu6lYPM3uW7VzgxhptFomJAU\n90t2HaynIpGIyuWyQqGQ6edCoZA6nY6Wl5dVr9fN1w3CfDAY1Oc+9znt7++bnhAbXerTSCRi3T0L\nm3EwgxYsajn6x03ACe3JZrNqNpsKhULGkSAUiBEzyIvjOEbFJA9wfn7eCEi7u7s2+XzvvfdULBZV\nKBTshIrFYsaRwO2JYB7q52QyqcnJSS0vL2t5ednMJNPptObm5nRwcKCJiQkzsnnx4oUl0r7//vva\n3NzUxcWFotGoTQD5jJCn/vSf/tP6xje+8cb3/1YtZjr2QCCgjz/+WFNTU8rlcgoEAmbvSr7H0tKS\nGZY0m00jj09MTOg3f/M3zawchteDBw+uWbiSUbK0tKRqtWrSpuXlZUMF7t+/b5ZeOArhWt9sNk1j\nt7u7a4pxKKb9ft+wYaiseH34/X7t7+9rYWHB5P3tdtuGK1BJMX+UPrFheP78uS4uLoyuiaMnwtJO\np2N9xatXr8yGd3xHHw6H2t3dNbencUFAsViUx+NRr9fT0tKSarWavvGNb9g0E5YdBpPYdw2HQ/3O\n7/zOje7/rSozUP0eHx8btivJ1MKFQsEcjvCE2NzcNLEl4lAWO+JOasTxcJ5kMqmlpSVFIhHL4kin\n09dU1B9++KGRa9iRp6enTbNHPR4Ohw2VYPH1ej1ls1lNTEyY6z9OoShX8NigfAGOoy5nYpjL5Yy3\nzMO7vLyslZUVyy6kcWU3x8ARwQInHPxrn89nJ1ClUrFyCG4LiA+e0aBDEI8WFxeVSqUsExFx8E2u\nW7WYwSnZMRk+zMzMKJvNmko6FosZqwyXHjgFo9FIb731lo6Pj7W0tKRut6vHjx+bKhomWKlUUrlc\n1t7enrHCkNofHx9b8wX1E8dRFtv9+/dtTAwPQ5Jl6VFrM21stVrGqCuVSkYGgi8cDoctg5rm98mT\nJ+p2uzbw8fl85vMB6nF6emqEIyaIYMOgNYT9oErHYyObzaper2txcdE4HECGoBz5fN7gv5WVFTWb\nTRUKBWMKYugoychOb3z/b7Z8frCuWq1mjRhlxuHhoYbDoV69emXHOAOUXq9nNxKzbho3+L0XFxcW\n84tFFWUJNlOSTJpPAwdrDE+7mZkZPXv2zJAR1CqSzD8Ck/DLy6tQ+bOzM5uSgRNTElCPQ6Fk0AG2\nizkM6a0Er1MeNZtNy8YulUr2GXFwmpiYMDU2vwc6hCIbdAXsGUI/f7fX6ykSiZjC5OXLl+YuhdKF\nB50T9SbXraqZE4mETdXu3LmjYDCotbU1U4lwzDFChhoZCoVMgXJ+fq6lpSVrwkqlkpUE4/IpWG6x\nWEx7e3vmNgRvAlx1enraGqnFxUVLJKVkuLy8tAAcGsB8Pq8vf/nLJiWCggmCwQ7LLglBieEEdgU4\ngsIBSafTpslDezhOJ11cXLQsRDzwOIlIfcUzgzIDvvjS0pI1eHzXBHIS8wBCgjMSpye/f9Ohya3a\nmfGIqFar8vl8FlDOl39yciJJNr69vLzU9773PSPqP336VNVq1QYse3t7SiQSNnKVZAQaRrR7e3u2\nwPF1brfbKpfLyufzxvnlJJCu4hVAF6CtssjPzs5MQU2ADdxp/DxyuZypzDFZYZzMe52enlaxWDQM\nOp/P25gfqT/OozwsvF/G9+PKamwATk5OrOQBm8cnhNIBXd9wODSYFJErOkhOsl6vd213v8l1qyaA\nv/iLv2i1LTRDMN1SqXStpvN6vfJ4PKrVagqFQkZER1SZzWa1ublprvTUxXTePp9Pu7u7unfvng4O\nDuTz+YwzHIlETHAK3r24uGgZJSAUeEXTXPLzedAQxKL65oHE1406HU42JwElByLWer1u3nDpdNrk\nSclkUtVq1RYsxKTZ2Vlr+miiiUKGXI8Ui1IGtYjX67UcGU6bbDZrPGl4IgxbyB+cn5/X4eGhfu3X\nfu2HE0Dpyq2HQcLBwYE8Ho8KhYKZDm5vb5tNAFG+jK57vZ458DD5oubb3983b2acORmXE8eGVdW4\n9wMu9ASh49V2cnKiZrNpGDbZJRcXF0Zc4lhmbE5tSUmCkBXBK3g3fwavo9fraX9/3xrPaDRqC5fp\npCQzYwGaQ51OE8tirdfrCoVC5uCJvS9WBJwOPODwPhBFYCrOqPv58+dm27W8vHyj+3+rFnO/37dF\ngocx2je0euxseNJhtCLJaljsqbhJ8I1ZeDhuwl5DvoRChRvPlAwMFl4FuzxqcASio9FIhULBdIgs\nNuxomdjhSgQXA/MWIDZgOvJMHj58aJrBvb09SdLR0ZGSyaRhzYgVQGSIwcDsJhwOX3Mpvbi4sJwY\nEJmzszNr/i4vL80sHWV5LBazJvvly5cGb3LyYKH2ptetqpm73a6WlpasAfF4PEaux3gE21tEm0QZ\njJsFokaGCFQsFo2CCU4NnAYDT5Lxdlm4kNfhNkgyPwseFOkTWinowGg0Mv4FMN3l5VUcMlg0Pso8\nkFBbYaDVajXT1T179syGNkicCCOirsW9E485ooY7nY45GgEbjqu4R6ORNjc3jSJAGq4kO8WA3mq1\nmj34Ho/HOCzAksjP3vS6VYt5ZWXFDLPBMon8PTs7M34wg4FxC9bLy0tTi9DggOHiFgRrbNz9R5I1\nYJiwcJNoinK5nHw+nz0Q9XpdjUbDbizN38LCgtFHJyYm7H3AQIMjQWwCTDX4zAsLC5Jku3U+nzeI\nsFKp6OTkxEhU2CEA62G2yAKfnZ1VpVLR3NycEomEDg4O1Ov1VKvVtLa2ZiP6fr+vZDKpWq1mFrc0\ngZyE9Xpd9XrdNhYyB/EWwc/jpov5VpUZmLycn5/r/fffl8/n0/Lyssnoo9Go2WuRQ51MJs0wcGLi\nKmotHo9fE43SkYNaxGIxnZ6e2uKZmZkxmTwcDpJfB4OBRQmHw2FVq1WlUin7M4wVYZzNzMyoXq9b\niik163jshMfj0e7uriQpHo+bcWOpVDJbW04WdnvyrQnXYeKHfxyjcHjGo9FIqVTKyjCGJpRf1Pce\nj8caUSwdMJ5h9w2Hw4ZpI92KRCLK5XKmeD8/PzdF/Ztet2pnHo1GNgDAL5k8O6Z93Gik+Pl8Xr1e\nT48ePTILXOT5uLljGUBJAb0RrgZH7sTEhGWGIAtikXD802SxUCcnJ806llSsSCSii4sLe4jINcEq\ni9AeiE6YLbK4MAKv1+sW0QBNs9VqmZdevV7X9PS02QNgqcWonBRb2Hvsqixk6uSJiQmbrKLmgbFH\nrgpNKREax8fH8nq9kq4eSDw8bnLdqsWMDJ/AcrR4tVrNYgw4wmliEomEer2eqtWqstmsDTRQWjSb\nTUtiotyg5Bh3mQcSG+cUh8NhHRwcSJLtmI7jaGlpySZ9UC6DwaDtzKAm0WhUXq9Xx8fHdsowzEHF\njQwKrLpWq9lInVg213X16NEjs571+/2mIG+32+YoSo0MVElDSYZ4s9m0CGVG54FAwBiHPATs9ozf\nGdBQRiBNA6KjYU6nv6+DxKe+btViZlekloVvixQIEji46mAwsHoWbzl8MGZnZ21iiNIEPgYjaUmG\nOw+HQ8OWaf5OT0+NWklYDaw49IaYLuLKiTggk8nYGHlyclKNRsPMwJF1EYaJajoajZpqhh2RyIvd\n3V1VKhW5rqt+v29TOJyfRqOR1e64djabTRvagGM3m03LWSRuzuv1KpfLqdFomHhgcnLSUgcwJefk\nOTk5UTqdNtNHHJtQtLzpdasWM1a2pCnBSwBK63a7Ojg4MKioUCjozp07VpaMRyDQWGFmiFkJTDbS\nS/GhGPcvrtVq1hzB+2C6x8KDSYdqGRy42+3K4/HYuBoGIAMJkAw0jDSd4MU44NdqNTu2MW2k/h4X\nFzAyH4+owMiRUgqWHv+fEoLGGWIVzSuE//Pzc/n9fh0cHJgiB14Jqh5Jpg6v1+s3uv+3ajHjZClJ\nX/3qV008GggE9JWvfEXhcFgbGxsGHf3Ij/yIDRJc11UoFJLP59OdO3cUDof1+c9/XtFo1PKyA4GA\nTQzZ1djVfT6fKbDxgcbhh1Li4cOHdnpgyILPHQMK9HDoBBOJhEGNmBOS9uT3+5XJZDQxMaG1tTVz\nEM1kMlaCLCws2M4eCASMhzE/P28DlHv37ikSiVhGNtL/bDZrTL9kMqlQKKSFhQXzqctkMrq8vNT6\n+rpZLpBUgFCA4RJjc5K2JicntbS0JL/fbxvEvXv3bnT/b9Vi5smemprSkydP1O/39e1vf1u1Wk1f\n//rX1Wq1VCwWjZH25MkT20k3Nze1vb2tqakpvXjxQu12Wx988IEmJyf17Nkzo4OenZ3ZlJEF3mq1\n1G63lcvlVCgULHuPYxqFyc7OjkqlkrHO0MK1220Tqx4cHFjdC3b79OlTC6jf2dnRwsKCNjc3NRp9\nki4FJNloNFStVg0poDZmKMJg4/Dw0DSG+XzeTrMnT55Y2bO/v29KFrL8Njc3rcd4+fKlBRrhI42r\n0ZMnTyRdIT3U8jSEyL9evXplSM3x8bE2NzdvdP9v1WJm9Iv6gpwOEqAkGUke7wuv16u5uTlFIhEl\nk0mrCRlo0Cyii0ulUmo2m2Y9xYLAfmpjY8N2psXFRRugTE1NWXkBGZ9pYrlctp9DID01OM0V3GV2\nMYSlkPOpV/lcLN5+v28KFyy7ms2mTe0YM1cqFftMJycnchzHRAQ8SEwNIWwxhmfow9AIF1Lw9vn5\neftM+Nf1ej1Fo1GdnJxYHARkrje9btVipg6s1+vmfQxFEZ4AQxByAKkDHzx4YM0b6gjw54cPH5rR\nX6/Xs1gFjBlRHqPJOzo6MolWPB43SA8rWjgVmCpi/wWjjPo5lUqZsyaN0+TkpHZ2doybDeFHkpmw\ndLvdaza+eH10u11LmYWWOe5QCjKDTnJ9fd3iLsrlslKplIbDoSlIQDLG7RMQD4AzozpHpYJ/HfU4\naV2Li4tGanrT61YNTVgYUCsdx9H8/Lw1K3BtUTQsLi6aQThaQZosHOXn5uZMv5ZIJLS7u2s7PU0Z\nqmdqZmpRFiA7FaPuyclJ86qD7ww/hIEGqabjkB8BnKhKxnfLy8tL87igJ4AZyOtA5GHRj9vzIlJg\nkWIOiXHO8vKywXfU/XiLzM3NmXqFwQeuUdJVPuN4LiGYfyqVMgHxcDjU2traje7/rdqZganm5+dt\n6kT2M0GPHN00c/l83gYY9XpdpVLJ0I5ut2v13Dh0BfmdLp8d/fT0VOVy2WrdcDis8/Nz40wwZOl2\nuzbuHvdwAxtnOrm3t6dyuWziV5Qf8DtOT08Vi8WMQffy5Ut7T9LVWBu73mazqVwuZycJtlrS1QNU\nKBTsBKnVauYeSkNNn8FpVq/Xbdw9GAz08uVLM1qv1WrGQDw5OTGolO+gVCoZlo76u9Pp6MWLFze6\n/7dqZ85ms+ZLAfk8nU4rkUiYCDUYDNpU66/9tb+mX/iFXzAPOISo3MAvfvGL2tra0uPHj+3mjEYj\nZTIZFYtFOY5jtTCUURYE0BSu+Xja9ft9G6qM80NALiAynZ+fa3Fx0SZ3jKeJKtvY2DDVNAOOt99+\n20j6ExMTSiaT8nq9RtuEuca4GuNy3itjfxzx4WDgQx0Oh/Xq1Svz0FtZWTG+OEbiTAIzmcy17EBU\nOL1ez/4MLv14JMa//Jf/8o3v/63amTudjnkTY+iCGkOSTbTY/f7+3//7Njwpl8uSZBo7n8+n3/3d\n35XX67UdKBQKGdG/3+9fcxsCTsOHA981COnjOzjMNK/Xa7RR+A2UQ1BK5+fnNT8/bxBju922EwNO\nMUqZw8NDG/hQMvHaMzMz9vP4+5xkNIfspOSN06gNh0OFw2HlcjkbsmDZG4/HJclOn0AgYM75NJJw\npw8PD42aSpoV43mcp25y3arFPA7sAxXRyRN7Vq/XrYGjAWLc2u12jVPMTcaSgOOcmwtxqd/vq1ar\nmYkLAxMW5sLCggVMnpycaDgcql6vG4MPqAxuhPRJklO/37dFzWcgP3B/f/8a+y+fzxuSAfrR7/ft\n825ubqrdbluYJycDn7tUKhlVMxgM2tQOR3xckngQEfdyYVhTq9VssQI3sslg5+DxeMxU5uzszKao\nP6SAjl00Y5KME0w9eXFxYTAUhHFJhhOfnp6qUChoaWnJCDxwPbjJeKhxU1GzwAkuFovXvJipsyXZ\nRBBOsqRr1lbBYNDkU5Cazs7O1Gq19PHHH1vpVCwWzROZiLNxx/tEIqHDw0Pt7+8bguH3+3X//n1D\nVC4vL/XRRx+p3W6r1+vp6OjI0mnBnycnJ40mKl31I6FQyEoJTjnG9B6Pxx526eqEw8qr0+mY7ApD\nyd3dXeXzeWvKmbLe5LpVi5nYBUa+uFHCM6hWqwbY+3w+22GweI1EInr69Kny+bxlfbDjjsvnwV5b\nrZaOj4+vmZgztmbBhkIh5fN5i3qQPgms58httVoqlUomuSIsEzEqENjLly/l9/tNUABBH5717Oys\nCXK9Xq92dnZUrVb13e9+1xQhcI6Xl5dt5N/v9413Eo1GrwXCY7dQq9V0cHBg9E94JtgAg5lLnyTR\nAjcC5w0GA21ubqpWqymTyWg0GllOYy6X++HQZPyCF3BxcWG0SZ/PZ2lMsVjMjmF4FkBnCESTyaTV\nvjjpE3wDsR1FMbIgj8djP4Njc25uzvw1IpGIxZaBQnDMY6VLPQ2WjEYuHo/bBA/yEA5NlAjU3Ax3\nUqmUvSev16vV1VVDMkiUBesmBoLoMoZIlCx+v9+EqalUyqRc0WjUeCQ4IQWDwWtiWnD9ubk5eTwe\nG3kjgqXnIBXrj1102md5MV5mLAztEhgJVhaowscffyzpagyOLxrURXamg4MDQxMg9/AfWC8TMcj7\nR0dH8ng8xtRjV6TGjcViarVaJrlnJ4MoNQ4posZgMjk3N6disaiTkxOtrKxYElSr1bJhDdg5dXmh\nUND7779vOzluoUCVCAnGTxhKA04YnJl4LzTJUGl9Pp+2traUSqUM60bjiAL8448/Nm43jEHqZBTc\nN7lu1WLGzIXdmKw/dhGv12uKB6/Xq3fffVetVkupVEonJycKBAK6c+eOJFlIYywWU7FY1MrKis7O\nzozMRKkCRk19S22JEIAwdHLyGo2GWQZMTk4auYldeDgcKpfLaW1tTaVSyVCF+fl5ayYfPXqk7e1t\nLSws2EMDbkys2+TkpNLptLrdrpkyhkIhzc/Pa3Z21rw77t27Z4oQdsZQKGSKG1QyfHfsrNTMkJaY\n4qVSKfV6Pb148UIbGxsqlUomCGaIRdgRuzcKoLW1NT179uyN7/+tKjMcx9GLFy/UarX08uVL2xUx\nKkGDRuYGam74wXjIcQwnk0nDQMeDa3q9nvENKpWKKUCYLDJhG/euYDrJkUpJNDExYdyMUqmki4sL\n3b17V7lcznyXJVlmH9xov9+vi4sLvXz50thpqEowIOz1emYFlkgkJMlcQvHzODg4sHID1yKGLHjv\nlUoltVotbW5uWoMKDRU3JcbzEPTpHegPoAigAD84ODAfQPd1NPT6+vqN7v+t2pld19Xq6qqmpqZ0\nfHxsVlegBtgDXF5e6u7duzatw2qLUoCatFQqSZK58WAqjhPnaDRSOp22KR91KLo4ak90ewwriGAI\nBoM2WPD5fObNkcvlzCim2WxaMiociNnZWcPF79+/b6JXEBwI77xfGjDw93HUJxKJWD43vBHeDxku\nGNjgkMruih0Y5Qw7NjESjuMoHA4bp5nvdzgcKhaLWdlFljbf95tet2pnlmQDEnY+HInI3uPIh7zO\neJcRMpgvjQ6TL+RUDCN4ABgUINSEtwFKMhgMrHOnVod8VK1WrUypVqvmu4aamsULhMZrM1WDozEY\nDJTNZo07cffuXUMtpCsOSTAYvGYrO276uLS0dK1koJSiacOEkcaU75WHA/4HwlfkVzSmNMxwpply\nBgIBQ5GIobjJdasWM7TJV69emZ4MXu/k5KRxG2ZmZmwUzPgZNhwLDiYbqgoom0+fPrVhCqE4z58/\nV6VSUb1eV7FYNA7C8+fPDXaC/zw7O6tCoWDSKLzlKHm2t7c1Nzen9fV1I9VTo+/v7+vly5cql8ua\nmpoyeytJ9nPm5uaMu91sNs0v+uDgwIYcNKTn5+cWK0GzWqvVlMvlzIc6n8/bAsYWAfgTHBoFD8Mg\nfPZ6vZ65e3Y6He3v7xunut1ua3d312YAw+Hwh9Dc+NXtdrW4uKhEIqG9vT1jiyHTka4w3EKhYImm\n0BNpDEOhkCWxBgIBW4RwoHGgpw7ErsDr9SqZTJqk/+zszCISOPK73a6q1ap5w3HUExlMXdnpdFQo\nFIzrAYa8tLRksRCQ93E9hTxEHBsstXFjGxY+WDGG5PwaTH1+fv6aoxHoTTAYtAaTB7bdbst1XYPw\nCMoMhUJGzIItB0zJ+56bm7s2PcVM502vW7WYOdaxiR0MBkokEmaKCHAP9ZEjsdVq2YLD1gv3+NPT\nU6NEQtRBSMoIFlNuKKCtVkvxeNzIPSwGeMncYMoaBKODwUDdbteSnGgiPR6PsetYoJjQEEEsfeIg\nNBgMzHeO3EOSnhjeUBYh6yJmORKJ2HhZkrkiQaxnikmuN1Zo5JJzRSIRbWxs2MgaByWGK3BoGNn/\n0Dfj+1zj9E2spCCzMLSAOM6xSNMEdIZyYnyQwcJjLMuE8fLyUrlczky7yfTAplWS1Y2MiTGcwTJs\nNBqZ6mN8gcPHQKVN6TAcDpXP582yq9lsqlwu2zAG0hAXbMBxYny73bamEcSn0+moXC5f46x0Oh2z\nQHBd1/gu8EwY8ZNmBcEKXgg/C/iN/BWStXq9nsnOwL/f9LpVaAZfGPBbIpEwwlEwGLTdDb4uQlRJ\ntsij0ahyuZyxylKplNlhoaR2XVfhcNgmhjDfRqORiWA//PBDra6uWlOEhVWv11MymbT4CJh1i4uL\nisfjxogjAQBXJRYjNgHEp8F847RJJpP68MMPDb9m941EIjo9PTU7he3tbT169MgQD6BJDMj9fr/i\n8bipdIDpeNA4JYigazQaJmglb/wrX/mKMfYKhYJWVlbs5Op2u4pEIgqHw4buHB0d3ej+36qdGYyz\n2Wwqm81a182oFLfMaDRqZiePHj1SMBhUr9ezXSIcDisejxtRhiMfiT5cYEk2FQT2A79NJpPa2tqS\nJIMD4Q67rmtoADDf0dGR8vm8qajhSFMS8NonJyfmm0wphAMof8apcnx8bEc5C4UyLJVK2WdCKQ4N\ns9PpmIiBrGwml5IMkUEkwGmGb1yz2bSyDt+54XCoQqEg6eqkQB8Zj8fNBgFriDe9btVippZLpVLa\n39+Xx+Mxz7iDg4NrBoHsQjR4iUTCdl9UFoFAQPv7+1YPUlZAhzw8PNSLFy8sUD6dTl9TWaRSKSUS\nCXMSJccEUSsEJEoX13WVyWSUy+UsPJOpYjAY1OPHjxUKhUwlTi4IgxssdlnkeOKxq09PTxtezpSw\n0WiYqSQMQGwUUGnzOoVC4ZrrEpndKNa73a7ZGYCZz8/PW94h7vzjfiIHBwfa3t6+Zoj+ptetWsx0\n5gxKMMkOBoMWUwaJHg7E3t6ewuGwarWaDQSAoRzH0dramnmnnZ+f281qtVpaWlpSLBaT3+9XpVLR\n1taW6QWhW/IeQDgCgYCazaYqlYoWFhYUiURMI7i0tKTd3V1NT09bQtTS0pKazaYk6cmTJxoOh0ql\nUvL7/TYup5nNZrMKBALGGcZ9qdFo6PT0VLVaTUdHR9fQHFAOgjF5SKhpx8fcaAuhfhILhws+BCJC\njjgdYBvOzc3ZePz8/NweOgY5PzSBGbtQLAcCAe3s7Ei6UkDAZa7X6zo+PtarV690fn6u7e1ta0qo\n7RqNhmq1mhHZyScZt7yFoYbxIGNyCDcgAtS4eKnx0OAiBAGqWCxKkgVB4q5Uq9UstAaONcJRvCqm\np6cNBwbNgPMMjoxam9ra6/UaRMhkkQcYxbn0yQCqXq+r1Wppd3fXsHkebumKeovyBRwfZILyi3qd\nsoUafDzGeX9//2b3/0b/+gfsajQaVoNiLgjZxuPxWOhkNBo13wZwXJ/PZ0qOhw8fWpPjuq6Wl5eN\ndPT8+XMjzkB9pDZNp9OmQaR2xm6WJotdaH193bwr0um07d7Hx8c2Wt7Y2DDCEg0rECEq6Uqlovn5\neSWTyWvuSaRo8X1MTExoYWHBYDxJRrx3HEfpdNoek5NwsQAAIABJREFUjFgspm63a9/PaDSykM9U\nKmWm4eOMOtAXhjQzMzMW7zw1NWUiCMdxjB9CU57JZCRJ9+7d07e+9a03vv+3ameu1WoKh8PGe2Ch\nwpUAtoO8TiY2scKhUEihUMiUw9Ink7V0Om0WAOxO7CrjtSi7EKUGIe8Q4ceHL/CeaZxAKrrdrpUI\n+/v79jnW19fN9wJcGPNx3IT4M/IHiS/DCgEvjYmJCQtsh6sBnIlvB7g4nngYO4KcwPlGzQKvgwEJ\n9gcXFxcmskXjOD58wo0VUtWbXrdqMQcCAZ2cnFjeBrUtO0UymbT85/Pzc9OopdNpQwPK5bIODw/t\nJpJGWqvV7FiVZDcHTLper9sNgt4I9Adsh9l3p9O5Zh5OgwnmCy7caDR09+5d833+6KOPjMTjuq4O\nDg5s+NHr9Yzn4bqu4vG4/Tz4HdVq1ep/MgVZ4FBXCQjiIYBQNK6bPD8/V7fbVT6f12AwMHSILEDK\nBzLGyTCMRCJWUvR6PZ2dnVn9X6vVLAXrTa9btZhhniEZAj5jiEJKK/L9Uqmkzc1NG8uy63W7Xfu3\ns7OzJlfCHTQajdpQIZ1OW629u7trpwD0U3ZMpnsQ6eEu4PPGIsI6l9p2OLwKXS8UCgYBomaB7smk\nkkaNupnFmMvlrun2oMSCfBwcHKjdbqvRaFgdj1RKkjkaMUJnjM9IW/qE6M9ixuCcqWGr1TKy1LgL\nP/EUUGBvct2qmhnrWIB/eBPseqlUym4+Zt0/8RM/YclIuBnduXPHXCuLxaLVwpQO1WpV6+vryufz\nOjo6MkgtmUyq0WgYR2RcnoRKA5kS07JIJKLd3V27yfgrs7MfHBzo7t276nQ6+tKXvqQnT57YeDge\nj5siZXJy0nBcxs8LCwuGb8NUwzcDD+lWq2WOSvQJ4M7Ly8v2oFM/VyoVQ1sgaNVqNTv1kKKBtGCn\nAKTIWB+ivyTD3H/yJ39S3/ve9974/t+qnRluBrXqYDCwY5XjFII9HIdyuWwumhB/yA4cjUZaWFiw\nUetwOFQ2mzVN38LCglZXV826Fgx5dXXVcFMWNzo+UJHDw0O72djF0gAuLi7ae00mk6pUKqpUKtrc\n3LT6nbqdYzqRSJjWEV8L2ILUt4hyYdsx3ZucnNTi4qJBbKQJ8MCjm2RDmJ2d1UcffWTTwPn5eesn\n4LKAJTNyH41GCofDtrlAf2X0HgwGb4xm3KrFLMkaM75MmiPgJ0k2qm6320ZkR3EC/5lJFna0cHnR\n9zUaDdul4CJwk/L5vCYmJuyhQG2CL0e5XDbEgdIGsxZU3yAWNIZYEhAVPM65HjcER/FNSQJrDjUK\n3tBwLLBAoPw5Pz+3E47GTZINb8rlsvnFoVpnCgqRiMYaMQJqdt6767qmJOd7q9fr14hKb3LdqsWc\nTCbN7Jtuen193VhoyHSQLiWTSWN8ra6u2tBl3EQcw+7Z2VnNz8/bVC2dTmt1dfWaIWAoFDJuBibi\nuAWFw2H7/bt37xqCEAwGjTAfDAa1urqqxcVFmzbGYjFDKGZnZ7W+vm47siQbAnGSzM7OKplMWvg8\nzR3NJ+UMsOD5+blxQhYWFoxmymteXl7K6/Ua0pDJZDQcDg3dgQGYTqetROE1+PPV1VWl0+lrukoy\nWqSrzWVxcVFvvfXWje7/rVrMp6enOj8/1+HhoWKxmO2mSNyZMEFvhKnGDskOCqtubW3NFCk7OzvG\na56fn7eoBdhpYKdM2MLhsF68eHEt62Q8nw9iE+GTuVzO5E8c1Vjo4jcN8R8/DBJlkfOz88KFoFnk\n/Y67FGHZO86F5iRC5YLcrNvtqt1uGxWVhKxxORenCbj24uKiJiYmdHJyot3dXcOdoXvOzMwYZAgv\nJp/P3+j+36oG0HEc4+S+ePFCjx49MvdKQstZuDi4Z7NZGxZEIhH1ej2jjXY6HcViMVWrVS0vL5uS\nGB4xu56ka3wISWY8TlQvjRjhPpVKxUbflUpF8XjcGHwHr3OnKY8QnP5eNTS9AYstmUzKcRytrq5K\nkkmpdnZ29PnPf94miODBWGYRTs84OhAIWK3Nd0WTSZ0L24/3IslIVOgn5+bmNDU1pYWFBZVKJTuF\nMFHknuEIxbj8Ta9btTMTxLO3t2e1XrfbtfovEAhYbh1TwZOTE52dndn/ohVEnYKjPcJLjAX9fr8d\n17iKMtJGLgTnGRgNO1vG5RB7qLvhGAMfTkxMWJnBuB2/DeKK6Q0kqVgsGmLApA91SS6Xs0wUxtQs\naIYvkqy8oWxh9MzDhzKbeDaMKOGlsPvTn0DMAkFCoY6/HdAemYM3uW7VYuamozSBQH5yciKv16tS\nqaRkMmk5Ht1uV8lk0iAiBgNwcy8uLhSLxa6pK2DEnZ+fG29iMLgKU6c5wrzl4ODA0BVGv8T3gofD\ndDs+Pla5XLagenDtnZ0dI7SfnJwYOoK6BQsD6mKI+6VSSUdHRwoEAjbJm56eNvgOohCLj50WwhE2\nCIPBwCDEZDJ5TdU9HnlG6m2n01G1WlW1WrV/2263zYeOBhhBwsrKilZXV63Rvsl1q8oM/CSwWyUr\nr9vtan9/37znUD0fHh6qXq/rwYMH5ubD1BD3TCiWCwsLqtVqlnPHYpienjbnH8dx9J3vfEdvv/22\n5ufnTdlBQA1wITX04eGh+W+gTcRNHuU1DkKoVBiklMtli1K4vLy0Ic3du3fNeIb6l6gI0Amcn/r9\nvpGoUGGT15JKpdRoNEzSRU1NTV4qlcyoEScoyjigNkk2Rk8kEiaURRne7/f16tUrxeNxi0G+yXWr\ndma/36/19XUjsGSzWYOvYHqdnZ1ZAwYpRpJZ1RJVRtjMuK8bdaUka76wGUCgmc1m5fV6TUENkoJ2\nEM82PDfw0wCB4Ne8R+pmhjrg0tSjuGjG43G99dZb5kfHqTE7O6vJyUkj8M/MzBhfghoYWA1cGucj\n8r6hqSaTSc3OzioUCpkahc+zsLCgZDJpDw59CvYIxWLR4tbweJZkzXkikbBS502vW7WYJRleOt61\nx2Ixc72nSSSrJBqNanJyUuvr62ZMAv5KDU4q0nhCEtAYQevo4dDEUeb4/X7zhpZkYgHqdWpHhKe4\nEFFGoAph6IOnBlAZKVGUHjSwSMfwgwabHhee4v3M4GLcmwOCfqfTMTIWLkfY77IgUXdLsoaY7D8Q\nDaab+IcA3xHuCUR6k+tWLeb5+Xm9evXK5DgMHSDDhEIhJRIJU25/9atfleu6SqVSqlQqptAOhUKK\nx+NKJpNaW1vT5eWllQy7u7tGZVxaWjIEBGI7nfrFxYUNCwiDRzdHHjXTM+pjwoQkmT9cMpm0h4tJ\nJQ8jDvnU6ZjDrKysmKAWfBkBLIuJGp7QeIYv0idBR3A3Jicnlc1mFY/HTdGOMyjTRdhyDHfIaykW\ni1byABnCp5Zk6BNayZtct2oxS5906Oj9GCRAfEH9zM0olUp2nI/voHy57DQ0Rn6/35od/g3HJkQi\nVODIhjglxp3hKUvAiDFhxL+t3+9f88bgs7GYeGgoncgQpKHEHoydniBOdI4wCXnQ8PdAHQKRioFO\nsVg0PSETPH4+tTiuRxCfeEB5GMH+aaylTzD/cTeoN71uVQPY6/W0sbEhx3FsqMCxCiQ0GAyMnba3\nt2ewFLsgQ5JwOKy9vT2jPw4GA62urqpcLhuMxO/t7e0pFovZDWLRQXnEUouGNJlMmpMQixlS/8rK\niilY4GTDU8YSDLMXIo2npqb0/PlzjUYjO31w/8QCIR6Pa35+3miyDJRGo5ERgYAfiRxmkoqAdX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+5ru378vj8ej58+fG2nq8vLSaKfn5+fa29uzkwtvup2dHX3uc59TPp/Xhx9+aDK0arWqRqOh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y0cabVaimTydgTS5KJn/g9z8/Pza/Izdbv923Momb5Idej2plJfy+VSjYjr6ys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\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x114254ad0>"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "df = pd.read_hdf('_temp/det_output.h5', 'df')\n",
+    "print(df.shape)\n",
+    "print(df.iloc[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1570 regions were proposed with the R-CNN configuration of selective search. The number of proposals will vary from image to image based on its contents and size -- selective search isn't scale invariant.\n",
+    "\n",
+    "In general, `detect.py` is most efficient when running on a lot of images: it first extracts window proposals for all of them, batches the windows for efficient GPU processing, and then outputs the results.\n",
+    "Simply list an image per line in the `images_file`, and it will process all of them.\n",
+    "\n",
+    "Although this guide gives an example of R-CNN ImageNet detection, `detect.py` is clever enough to adapt to different Caffe models’ input dimensions, batch size, and output categories. You can switch the model definition and pretrained model as desired. Refer to `python detect.py --help` for the parameters to describe your data set. There's no need for hardcoding.\n",
+    "\n",
+    "Anyway, let's now load the ILSVRC13 detection class names and make a DataFrame of the predictions. Note you'll need the auxiliary ilsvrc2012 data fetched by `data/ilsvrc12/get_ilsvrc12_aux.sh`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Now let's take max across all windows and plot the top classes."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "name\n",
+      "accordion      -2.622471\n",
+      "airplane       -2.845788\n",
+      "ant            -2.851219\n",
+      "antelope       -3.208377\n",
+      "apple          -1.949950\n",
+      "armadillo      -2.472935\n",
+      "artichoke      -2.201684\n",
+      "axe            -2.327404\n",
+      "baby bed       -2.737925\n",
+      "backpack       -2.176763\n",
+      "bagel          -2.681061\n",
+      "balance beam   -2.722538\n",
+      "banana         -2.390628\n",
+      "band aid       -1.598909\n",
+      "banjo          -2.298197\n",
+      "...\n",
+      "trombone        -2.582361\n",
+      "trumpet         -2.352853\n",
+      "turtle          -2.360859\n",
+      "tv or monitor   -2.761043\n",
+      "unicycle        -2.218467\n",
+      "vacuum          -1.907717\n",
+      "violin          -2.757079\n",
+      "volleyball      -2.723689\n",
+      "waffle iron     -2.418540\n",
+      "washer          -2.408994\n",
+      "water bottle    -2.174899\n",
+      "watercraft      -2.837425\n",
+      "whale           -3.120338\n",
+      "wine bottle     -2.772960\n",
+      "zebra           -2.742913\n",
+      "Name: 0, Length: 200, dtype: float32\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "with open('../data/ilsvrc12/det_synset_words.txt') as f:\n",
+    "    labels_df = pd.DataFrame([\n",
+    "        {\n",
+    "            'synset_id': l.strip().split(' ')[0],\n",
+    "            'name': ' '.join(l.strip().split(' ')[1:]).split(',')[0]\n",
+    "        }\n",
+    "        for l in f.readlines()\n",
+    "    ])\n",
+    "labels_df.sort('synset_id')\n",
+    "predictions_df = pd.DataFrame(np.vstack(df.prediction.values), columns=labels_df['name'])\n",
+    "print(predictions_df.iloc[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's look at the activations."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "max_s = predictions_df.max(0)\n",
-      "max_s.sort(ascending=False)\n",
-      "print(max_s[:10])"
-     ],
-     "language": "python",
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x114f15f90>"
+      ]
+     },
+     "execution_count": 4,
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "name\n",
-        "person          1.835771\n",
-        "bicycle         0.866110\n",
-        "unicycle        0.057080\n",
-        "motorcycle     -0.006122\n",
-        "banjo          -0.028209\n",
-        "turtle         -0.189831\n",
-        "electric fan   -0.206788\n",
-        "cart           -0.214235\n",
-        "lizard         -0.393519\n",
-        "helmet         -0.477942\n",
-        "dtype: float32\n"
-       ]
-      }
-     ],
-     "prompt_number": 5
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "markdown",
+     "data": {
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x114254b50>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The top detections are in fact a person and bicycle.\n",
-      "Picking good localizations is a work in progress; we pick the top-scoring person and bicycle detections."
-     ]
+     "output_type": "display_data"
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Find, print, and display the top detections: person and bicycle.\n",
-      "i = predictions_df['person'].argmax()\n",
-      "j = predictions_df['bicycle'].argmax()\n",
-      "\n",
-      "# Show top predictions for top detection.\n",
-      "f = pd.Series(df['prediction'].iloc[i], index=labels_df['name'])\n",
-      "print('Top detection:')\n",
-      "print(f.order(ascending=False)[:5])\n",
-      "print('')\n",
-      "\n",
-      "# Show top predictions for second-best detection.\n",
-      "f = pd.Series(df['prediction'].iloc[j], index=labels_df['name'])\n",
-      "print('Second-best detection:')\n",
-      "print(f.order(ascending=False)[:5])\n",
-      "\n",
-      "# Show top detection in red, second-best top detection in blue.\n",
-      "im = plt.imread('images/fish-bike.jpg')\n",
-      "plt.imshow(im)\n",
-      "currentAxis = plt.gca()\n",
-      "\n",
-      "det = df.iloc[i]\n",
-      "coords = (det['xmin'], det['ymin']), det['xmax'] - det['xmin'], det['ymax'] - det['ymin']\n",
-      "currentAxis.add_patch(plt.Rectangle(*coords, fill=False, edgecolor='r', linewidth=5))\n",
-      "\n",
-      "det = df.iloc[j]\n",
-      "coords = (det['xmin'], det['ymin']), det['xmax'] - det['xmin'], det['ymax'] - det['ymin']\n",
-      "currentAxis.add_patch(plt.Rectangle(*coords, fill=False, edgecolor='b', linewidth=5))"
-     ],
-     "language": "python",
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x114254ad0>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Top detection:\n",
-        "name\n",
-        "person             1.835771\n",
-        "swimming trunks   -1.150371\n",
-        "rubber eraser     -1.231106\n",
-        "turtle            -1.266037\n",
-        "plastic bag       -1.303265\n",
-        "dtype: float32\n",
-        "\n",
-        "Second-best detection:\n",
-        "name\n",
-        "bicycle     0.866110\n",
-        "unicycle   -0.359139\n",
-        "scorpion   -0.811621\n",
-        "lobster    -0.982891\n",
-        "lamp       -1.096808\n",
-        "dtype: float32\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 6,
-       "text": [
-        "<matplotlib.patches.Rectangle at 0x118576a90>"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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60PyYY979+5yJb+CKjRVWzPaXKeal4TgOZuNMVKh8oy93V3Qmv76CKUUa6M1nh8dMlpfp5cXjCdj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JlgSmUlc5JFdcLZaCb+yqTqDSFNAORO9djWdz3wD388Uf/gieeeIz1m+tsrN9BmSaNZpPTp09R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Cm1w77oxLKyH4EHHleqv1xPvcMuy0A1Yyuo24daOwnEsqroiDEMzJNYSgKAVlsmMzMuigynr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hsogbSNdl1nCSEYdiYmB0dHdHv95tM3FR2eZ5zfHxcV9/hiY3BfIYJ6ELoST3mnAeDQRMb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\nwNe2trWt7QVq/w/Uvjt8hhUJzgAAAABJRU5ErkJggg==\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x116bcb210>"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.gray()\n",
+    "plt.matshow(predictions_df.values)\n",
+    "plt.xlabel('Classes')\n",
+    "plt.ylabel('Windows')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's take max across all windows and plot the top classes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "That's cool. Let's take all 'bicycle' detections and NMS them to get rid of overlapping windows."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "name\n",
+      "person          1.835771\n",
+      "bicycle         0.866110\n",
+      "unicycle        0.057080\n",
+      "motorcycle     -0.006122\n",
+      "banjo          -0.028209\n",
+      "turtle         -0.189831\n",
+      "electric fan   -0.206788\n",
+      "cart           -0.214235\n",
+      "lizard         -0.393519\n",
+      "helmet         -0.477942\n",
+      "dtype: float32\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "max_s = predictions_df.max(0)\n",
+    "max_s.sort(ascending=False)\n",
+    "print(max_s[:10])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The top detections are in fact a person and bicycle.\n",
+    "Picking good localizations is a work in progress; we pick the top-scoring person and bicycle detections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def nms_detections(dets, overlap=0.3):\n",
-      "    \"\"\"\n",
-      "    Non-maximum suppression: Greedily select high-scoring detections and\n",
-      "    skip detections that are significantly covered by a previously\n",
-      "    selected detection.\n",
-      "\n",
-      "    This version is translated from Matlab code by Tomasz Malisiewicz,\n",
-      "    who sped up Pedro Felzenszwalb's code.\n",
-      "\n",
-      "    Parameters\n",
-      "    ----------\n",
-      "    dets: ndarray\n",
-      "        each row is ['xmin', 'ymin', 'xmax', 'ymax', 'score']\n",
-      "    overlap: float\n",
-      "        minimum overlap ratio (0.3 default)\n",
-      "\n",
-      "    Output\n",
-      "    ------\n",
-      "    dets: ndarray\n",
-      "        remaining after suppression.\n",
-      "    \"\"\"\n",
-      "    x1 = dets[:, 0]\n",
-      "    y1 = dets[:, 1]\n",
-      "    x2 = dets[:, 2]\n",
-      "    y2 = dets[:, 3]\n",
-      "    ind = np.argsort(dets[:, 4])\n",
-      "\n",
-      "    w = x2 - x1\n",
-      "    h = y2 - y1\n",
-      "    area = (w * h).astype(float)\n",
-      "\n",
-      "    pick = []\n",
-      "    while len(ind) > 0:\n",
-      "        i = ind[-1]\n",
-      "        pick.append(i)\n",
-      "        ind = ind[:-1]\n",
-      "\n",
-      "        xx1 = np.maximum(x1[i], x1[ind])\n",
-      "        yy1 = np.maximum(y1[i], y1[ind])\n",
-      "        xx2 = np.minimum(x2[i], x2[ind])\n",
-      "        yy2 = np.minimum(y2[i], y2[ind])\n",
-      "\n",
-      "        w = np.maximum(0., xx2 - xx1)\n",
-      "        h = np.maximum(0., yy2 - yy1)\n",
-      "\n",
-      "        wh = w * h\n",
-      "        o = wh / (area[i] + area[ind] - wh)\n",
-      "\n",
-      "        ind = ind[np.nonzero(o <= overlap)[0]]\n",
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top detection:\n",
+      "name\n",
+      "person             1.835771\n",
+      "swimming trunks   -1.150371\n",
+      "rubber eraser     -1.231106\n",
+      "turtle            -1.266037\n",
+      "plastic bag       -1.303265\n",
+      "dtype: float32\n",
       "\n",
-      "    return dets[pick, :]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "scores = predictions_df['bicycle']\n",
-      "windows = df[['xmin', 'ymin', 'xmax', 'ymax']].values\n",
-      "dets = np.hstack((windows, scores[:, np.newaxis]))\n",
-      "nms_dets = nms_detections(dets)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Show top 3 NMS'd detections for 'bicycle' in the image and note the gap between the top scoring box (red) and the remaining boxes."
+      "Second-best detection:\n",
+      "name\n",
+      "bicycle     0.866110\n",
+      "unicycle   -0.359139\n",
+      "scorpion   -0.811621\n",
+      "lobster    -0.982891\n",
+      "lamp       -1.096808\n",
+      "dtype: float32\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.imshow(im)\n",
-      "currentAxis = plt.gca()\n",
-      "colors = ['r', 'b', 'y']\n",
-      "for c, det in zip(colors, nms_dets[:3]):\n",
-      "    currentAxis.add_patch(\n",
-      "        plt.Rectangle((det[0], det[1]), det[2]-det[0], det[3]-det[1],\n",
-      "        fill=False, edgecolor=c, linewidth=5)\n",
-      "    )\n",
-      "print 'scores:', nms_dets[:3, 4]"
-     ],
-     "language": "python",
+     "data": {
+      "text/plain": [
+       "<matplotlib.patches.Rectangle at 0x118576a90>"
+      ]
+     },
+     "execution_count": 6,
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "scores: [ 0.86610985 -0.70051557 -1.34796357]\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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eUCEwGB3r2urFkIw7PUhxMaYuqqRUnLj+nUCMByOGK6N2NjaYDQa8elnn6G1xnrPlhCMJ2eoPPKE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W/voprCc9JPjW1YsJcDxPRzh4EiPzhXrbY8fuBJzvcO4rttZNt6DU4wxm+obbXDW6ReNomqq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KXqsyZpCZDJjCwtlNn1gnigDS7QjrKjMN8afrcCsjyjFIJfN9s3qosmw2VFSVZVisEuq4x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\nEqcl9b0u1vyhKNZYn87kIr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-       "text": [
-        "<matplotlib.figure.Figure at 0x114f15d10>"
-       ]
-      }
-     ],
-     "prompt_number": 9
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "markdown",
+     "data": {
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x116bcb210>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "This was an easy instance for bicycle as it was in the class's training set. However, the person result is a true detection since this was not in the set for that class.\n",
-      "\n",
-      "You should try out detection on an image of your own next!"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Find, print, and display the top detections: person and bicycle.\n",
+    "i = predictions_df['person'].argmax()\n",
+    "j = predictions_df['bicycle'].argmax()\n",
+    "\n",
+    "# Show top predictions for top detection.\n",
+    "f = pd.Series(df['prediction'].iloc[i], index=labels_df['name'])\n",
+    "print('Top detection:')\n",
+    "print(f.order(ascending=False)[:5])\n",
+    "print('')\n",
+    "\n",
+    "# Show top predictions for second-best detection.\n",
+    "f = pd.Series(df['prediction'].iloc[j], index=labels_df['name'])\n",
+    "print('Second-best detection:')\n",
+    "print(f.order(ascending=False)[:5])\n",
+    "\n",
+    "# Show top detection in red, second-best top detection in blue.\n",
+    "im = plt.imread('images/fish-bike.jpg')\n",
+    "plt.imshow(im)\n",
+    "currentAxis = plt.gca()\n",
+    "\n",
+    "det = df.iloc[i]\n",
+    "coords = (det['xmin'], det['ymin']), det['xmax'] - det['xmin'], det['ymax'] - det['ymin']\n",
+    "currentAxis.add_patch(plt.Rectangle(*coords, fill=False, edgecolor='r', linewidth=5))\n",
+    "\n",
+    "det = df.iloc[j]\n",
+    "coords = (det['xmin'], det['ymin']), det['xmax'] - det['xmin'], det['ymax'] - det['ymin']\n",
+    "currentAxis.add_patch(plt.Rectangle(*coords, fill=False, edgecolor='b', linewidth=5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "That's cool. Let's take all 'bicycle' detections and NMS them to get rid of overlapping windows."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "def nms_detections(dets, overlap=0.3):\n",
+    "    \"\"\"\n",
+    "    Non-maximum suppression: Greedily select high-scoring detections and\n",
+    "    skip detections that are significantly covered by a previously\n",
+    "    selected detection.\n",
+    "\n",
+    "    This version is translated from Matlab code by Tomasz Malisiewicz,\n",
+    "    who sped up Pedro Felzenszwalb's code.\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    dets: ndarray\n",
+    "        each row is ['xmin', 'ymin', 'xmax', 'ymax', 'score']\n",
+    "    overlap: float\n",
+    "        minimum overlap ratio (0.3 default)\n",
+    "\n",
+    "    Output\n",
+    "    ------\n",
+    "    dets: ndarray\n",
+    "        remaining after suppression.\n",
+    "    \"\"\"\n",
+    "    x1 = dets[:, 0]\n",
+    "    y1 = dets[:, 1]\n",
+    "    x2 = dets[:, 2]\n",
+    "    y2 = dets[:, 3]\n",
+    "    ind = np.argsort(dets[:, 4])\n",
+    "\n",
+    "    w = x2 - x1\n",
+    "    h = y2 - y1\n",
+    "    area = (w * h).astype(float)\n",
+    "\n",
+    "    pick = []\n",
+    "    while len(ind) > 0:\n",
+    "        i = ind[-1]\n",
+    "        pick.append(i)\n",
+    "        ind = ind[:-1]\n",
+    "\n",
+    "        xx1 = np.maximum(x1[i], x1[ind])\n",
+    "        yy1 = np.maximum(y1[i], y1[ind])\n",
+    "        xx2 = np.minimum(x2[i], x2[ind])\n",
+    "        yy2 = np.minimum(y2[i], y2[ind])\n",
+    "\n",
+    "        w = np.maximum(0., xx2 - xx1)\n",
+    "        h = np.maximum(0., yy2 - yy1)\n",
+    "\n",
+    "        wh = w * h\n",
+    "        o = wh / (area[i] + area[ind] - wh)\n",
+    "\n",
+    "        ind = ind[np.nonzero(o <= overlap)[0]]\n",
+    "\n",
+    "    return dets[pick, :]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "scores = predictions_df['bicycle']\n",
+    "windows = df[['xmin', 'ymin', 'xmax', 'ymax']].values\n",
+    "dets = np.hstack((windows, scores[:, np.newaxis]))\n",
+    "nms_dets = nms_detections(dets)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show top 3 NMS'd detections for 'bicycle' in the image and note the gap between the top scoring box (red) and the remaining boxes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "(Remove the temp directory to clean up, and we're done.)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "scores: [ 0.86610985 -0.70051557 -1.34796357]\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "!rm -rf _temp"
-     ],
-     "language": "python",
+     "data": {
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+       "piXVqqp64IHgtQUeqNe9Bk4mQLUUTcuqbiJM0FGXdd8r821H09UkmetLptrUHTfzYUQulkZQRaSg\n",
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+       "ArYzFr781Ud487n7+p5Aj9KJI+3ee+GfiMgbjabaru0lspbzRZ/W6msokkAvat1s284TgifLc6wx\n",
+       "NI3I1HnvKZfSwyiiWHBXy/lRTArKZdlP4wE03VDys1YodKVRnfSQxyzLZGzfmr7khpFeSj/IhERo\n",
+       "hhAJkUoefuQbvPX+NwkO2VnqtsYay6QoIu7ZyUSwNbj4/SzjbMA0m8hzjNBCOOco8jwqRgmnShcE\n",
+       "8y785LJmRV6QRqTMGB6ndWbvA0kq1BZJaimXpcwW+KHBX5YldVXhkGtF2fcUMqiWFwUhyFqWy4GX\n",
+       "RDNv3vRSHzKfL/nyVx/k7W89T13X/SRzkqT9ebdcLvu5Bx/rynoNi/+Q9RtnxEJJ4PuIuyzL/ljU\n",
+       "P4wH9bTkqs/TeYsx9HC4RgfTcsl4tH7cNL2Z7bsDd07Iq9bW1mhHztoYw+7uLsUIkaGQHmNMH1Wr\n",
+       "M9OL0Vq7B76nzQpgD/RQFX/GhO+6aLqYY0ymXoxFUexxzuoM9b3rqpILPTZCxqmU1uIUlpRlGc7L\n",
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+       "SuFNRVGwtbUlWYqXseRgRd5uPp+z4Rx1HLbZ2NjYM0DlvSePArPWCWSsbVuhr80nhC5gg0V77D74\n",
+       "nifbR3Whr3z1Qd72ljfsSYXL5Zw0m1DFmqZGRZqJeQPOjgKCXC7SLuKqPYE2yMVVVzV11zIpCqFO\n",
+       "jVDbZVlFtXDL7nzBYrHoM7oXr1xlfX2dPJVhjLZqUXk/G1PoIiuERAu5OJuyEj4eY0mMo4jnrgQH\n",
+       "cbq4FW3NJI2iD1FyS51oYhPWioKvfeNbvOfd7+xpj4MVWGjiHJPJWjzmXRIXR7vjeUrnqeM5lOfC\n",
+       "PaMsk4vFnJ2dXZK8wCWOYm2NtmvInLANWgI721txU4HIMqL/MFY2ZWMCXaucNf46B5kLNNMMjlPH\n",
+       "0fVa8wTKquwDB98NEL2bjZWvr6/zyKPf5Mff/c7eYQJRt3S49pbLpWT4ietBEmoC9R1KKxqwYffO\n",
+       "QIz9iV6HChl87rnnOHHiRO9n8jxne3u7DxbUx+jmpRuAvu54OFAd/iuVU/fdgX/gz/3V/T6EV4l9\n",
+       "nn/9b9613wfxKrPf5l/9yo/v90G8yuy3+Re//I79PohXlVWVOGbtgUEcg2/mvfMXfLnF+5aqGQUw\n",
+       "GuSEjnyS7YmSg/GILKPrgy4Jwirh3/cdnkAX+YhOnz4NDNUApWrQCF0DxnFVYIyC0WG/8RDZKwEa\n",
+       "9t2Br2xlK1vZH8aU6kAd7XgqU7NkpbIYo9f0b7UkqtF7OwJO1HW7h/sIJEtyDJO5ILDnLo7jj6ef\n",
+       "+8eui9rHZc+xw9bj1Y3llSbl93GUfmUrW9nKVvad2MuN0u+LA1/Zyla2spX94e3mc5orW9nKVray\n",
+       "V62tHPjKVrayld2mdssduDHmfcaYbxpjvmWM+flb/f77ZcaYXzXGXDLGPDq6b9MY82ljzO8ZY37T\n",
+       "GHN49NgvxDX6pjHmJ/fnqL+7Zoy5yxjzWWPM140xXzPG/PV4/4FdF2NMYYz5ojHmIWPMY8aYfxjv\n",
+       "P7BromaMccaYB40xvxF/P/BrsmcY5bv9H3DAE8BrgRR4CHjdrTyG/foPvBM4Dzw6uu8fA38r3v55\n",
+       "4Bfj7fvi2qRxrZ4A7H5/hu/CmpwCzsXbM+Bx4HWrdWEt/kyALwDvOOhrEj/r3wT+I/Dx+PuBX5Nb\n",
+       "HYG/DXgihHAhhNAA/xn46Vt8DPtiIYTfAa5ed/cHEck64s8/E2//NPDREEITQriAnIBvuxXHeSst\n",
+       "hHAxhPBQvL0LfAPRUj3o66IEGCIsKefNgV4TY8ydwPuBf4vSeR7wNYFbX0K5A/j90e/PxPsOqp0M\n",
+       "IVyKty8BJ+PtM8jaqH3Pr5Mx5rVIhvJFDvi6GGOsMeYh5LN/NoTwdQ74mgD/DPg5YDyOedDX5JY7\n",
+       "8BVm8WUsSO53s/X5nl07Y8wM+O+ICPbO+LGDuC4hBB9COAfcCfxJY8y7r3v8QK2JMeZPA5dDCA8y\n",
+       "RN977KCtidqtduDPAneNfr+LvTvlQbNLxphTAMaY08DleP/163RnvO97zowxKeK8PxJC+Fi8+8Cv\n",
+       "C0AIYQv438D9HOw1+WHgg8aYJ4GPAj9mjPkIB3tNgFvvwL8CnDXGvNYYkwF/Afj4LT6GV5N9HPhQ\n",
+       "vP0h4GOj+3/WGJMZY74fOAt8aR+O77tqRmaJ/x3wWAjhn48eOrDrYow5pmgKY8wE+AngQQ7wmoQQ\n",
+       "PhxCuCuE8P3AzwKfCSH8ZQ7wmvS2D53kn0LQBk8Av7DfXdxb+Lk/CjwH1Egf4K8Am8BvAb8H/CZw\n",
+       "ePT8D8c1+ibw3v0+/u/SmrwDqWk+hDipB4H3HeR1Ad4APBDX5BHg5+L9B3ZNrlufH2VAoRz4NVmN\n",
+       "0q9sZStb2W1qq0nMla1sZSu7TW3lwFe2spWt7Da1lQNf2cpWtrLb1FYOfGUrW9nKblNbOfCVrWxl\n",
+       "K7tNbeXAV7ayla3sNrWVA1/Zyla2stvUVg58ZStb2cpuU/t/6S2bnP6vZqYAAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x114f15d10>"
+      ]
+     },
      "metadata": {},
-     "outputs": [],
-     "prompt_number": 10
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "plt.imshow(im)\n",
+    "currentAxis = plt.gca()\n",
+    "colors = ['r', 'b', 'y']\n",
+    "for c, det in zip(colors, nms_dets[:3]):\n",
+    "    currentAxis.add_patch(\n",
+    "        plt.Rectangle((det[0], det[1]), det[2]-det[0], det[3]-det[1],\n",
+    "        fill=False, edgecolor=c, linewidth=5)\n",
+    "    )\n",
+    "print 'scores:', nms_dets[:3, 4]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This was an easy instance for bicycle as it was in the class's training set. However, the person result is a true detection since this was not in the set for that class.\n",
+    "\n",
+    "You should try out detection on an image of your own next!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "(Remove the temp directory to clean up, and we're done.)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "!rm -rf _temp"
+   ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "description": "Run a pretrained model as a detector in Python.",
+  "example_name": "R-CNN detection",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 3
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
index 7125907..6d629c5 100644 (file)
 {
- "metadata": {
-  "description": "Extracting features and visualizing trained filters with an example image, viewed layer-by-layer.",
-  "example_name": "Filter visualization",
-  "include_in_docs": true,
-  "priority": 2,
-  "signature": "sha256:64c88129e2eeaa956e4c8a26467ff6119f24ea3d7ef15f8217326249973bea8f"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Here we visualize filters and outputs using the network architecture proposed by Krizhevsky et al. for ImageNet and implemented in `caffe`.\n",
-      "\n",
-      "(This page follows DeCAF visualizations originally by Yangqing Jia.)"
-     ]
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "First, import required modules, set plotting parameters, and run `./scripts/download_model_binary.py models/bvlc_reference_caffenet` to get the pretrained CaffeNet model if it hasn't already been fetched."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe\n",
-      "\n",
-      "plt.rcParams['figure.figsize'] = (10, 10)\n",
-      "plt.rcParams['image.interpolation'] = 'nearest'\n",
-      "plt.rcParams['image.cmap'] = 'gray'\n",
-      "\n",
-      "import os\n",
-      "if not os.path.isfile(caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'):\n",
-      "    print(\"Downloading pre-trained CaffeNet model...\")\n",
-      "    !../scripts/download_model_binary.py ../models/bvlc_reference_caffenet"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Set Caffe to CPU mode, load the net in the test phase for inference, and configure input preprocessing."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "caffe.set_mode_cpu()\n",
-      "net = caffe.Net(caffe_root + 'models/bvlc_reference_caffenet/deploy.prototxt',\n",
-      "                caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel',\n",
-      "                caffe.TEST)\n",
-      "\n",
-      "# input preprocessing: 'data' is the name of the input blob == net.inputs[0]\n",
-      "transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape})\n",
-      "transformer.set_transpose('data', (2,0,1))\n",
-      "transformer.set_mean('data', np.load(caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1)) # mean pixel\n",
-      "transformer.set_raw_scale('data', 255)  # the reference model operates on images in [0,255] range instead of [0,1]\n",
-      "transformer.set_channel_swap('data', (2,1,0))  # the reference model has channels in BGR order instead of RGB"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Classify the image by reshaping the net for the single input then doing the forward pass."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "net.blobs['data'].reshape(1,3,227,227)\n",
-      "net.blobs['data'].data[...] = transformer.preprocess('data', caffe.io.load_image(caffe_root + 'examples/images/cat.jpg'))\n",
-      "out = net.forward()\n",
-      "print(\"Predicted class is #{}.\".format(out['prob'].argmax()))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Predicted class is #281.\n"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The layer features and their shapes (1 is the batch size, corresponding to the single input image in this example)."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[(k, v.data.shape) for k, v in net.blobs.items()]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 4,
-       "text": [
-        "[('data', (1, 3, 227, 227)),\n",
-        " ('conv1', (1, 96, 55, 55)),\n",
-        " ('pool1', (1, 96, 27, 27)),\n",
-        " ('norm1', (1, 96, 27, 27)),\n",
-        " ('conv2', (1, 256, 27, 27)),\n",
-        " ('pool2', (1, 256, 13, 13)),\n",
-        " ('norm2', (1, 256, 13, 13)),\n",
-        " ('conv3', (1, 384, 13, 13)),\n",
-        " ('conv4', (1, 384, 13, 13)),\n",
-        " ('conv5', (1, 256, 13, 13)),\n",
-        " ('pool5', (1, 256, 6, 6)),\n",
-        " ('fc6', (1, 4096)),\n",
-        " ('fc7', (1, 4096)),\n",
-        " ('fc8', (1, 1000)),\n",
-        " ('prob', (1, 1000))]"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The parameters and their shapes. The parameters are `net.params['name'][0]` while biases are `net.params['name'][1]`."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[(k, v[0].data.shape) for k, v in net.params.items()]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 5,
-       "text": [
-        "[('conv1', (96, 3, 11, 11)),\n",
-        " ('conv2', (256, 48, 5, 5)),\n",
-        " ('conv3', (384, 256, 3, 3)),\n",
-        " ('conv4', (384, 192, 3, 3)),\n",
-        " ('conv5', (256, 192, 3, 3)),\n",
-        " ('fc6', (4096, 9216)),\n",
-        " ('fc7', (4096, 4096)),\n",
-        " ('fc8', (1000, 4096))]"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Helper functions for visualization"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# take an array of shape (n, height, width) or (n, height, width, channels)\n",
-      "# and visualize each (height, width) thing in a grid of size approx. sqrt(n) by sqrt(n)\n",
-      "def vis_square(data, padsize=1, padval=0):\n",
-      "    data -= data.min()\n",
-      "    data /= data.max()\n",
-      "    \n",
-      "    # force the number of filters to be square\n",
-      "    n = int(np.ceil(np.sqrt(data.shape[0])))\n",
-      "    padding = ((0, n ** 2 - data.shape[0]), (0, padsize), (0, padsize)) + ((0, 0),) * (data.ndim - 3)\n",
-      "    data = np.pad(data, padding, mode='constant', constant_values=(padval, padval))\n",
-      "    \n",
-      "    # tile the filters into an image\n",
-      "    data = data.reshape((n, n) + data.shape[1:]).transpose((0, 2, 1, 3) + tuple(range(4, data.ndim + 1)))\n",
-      "    data = data.reshape((n * data.shape[1], n * data.shape[3]) + data.shape[4:])\n",
-      "    \n",
-      "    plt.imshow(data)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 6
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The input image"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.imshow(transformer.deprocess('data', net.blobs['data'].data[0]))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAlIAAAJOCAYAAAB8y+mTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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JVtTpaWXQAUGIR1677sZausTsgLUkjKCiPQkQVnziTnp+Sw1UCw93swJ5bPOU/SdS6jIeRmAIGsn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FN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\ng7O2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Te2k+1G/uIEUu9vK9ftIUieb0hFgB952CTcAUpaePObIAUHviZr8LOs9VNGpAKKY\nu3Rrc+PGa0ptWEFtu5jZ/BM3mm639i9RWJKxAjxK2DmNl6AUviWlbGU89DrH0v1qas8k9YG0ND9N\ntPy/p3Sr3ncByZlohx8UqWPbpDYvd9M4fF0zHU90X2vRSk/nPqJsZE2p7bNGixy4yMKllI+RWp/N\njbKhabzNzu7hWmU9yH90uXDp3h3NPwnSnAkVT+k9npH/6KCedKPOK3YNKYoDMklpmzvuLGG/vC2u\n3/q6f40DgvZimrF3Jjz5yPe2h0xDp/IXNIUOOJecikg6jImMpE7UlWKgcdrhOdXTfB7hORURzWIq\nWkGbHD5DVNaAnjWgsTDXPVT3DLpPQ5VRCW1M7Cp3P2cJ+XQmXv7Ahw8fPnz48OHjZxJvDJGaRbnE\n9GZ+0zlCX0ueRzHeiIfGyiBTCCiObIqnQSWhAtE74vpOpHQlVs/nVoZc4lxuyddJaycPBOlalF8T\ncpAVQERoNdvpdZAkw9W1E8xbQPYgiOwtN9A3YxJaUxG0ngiDEYhyUWL7jbBiy+ntP5kcyS0UiYjw\n9r++MYKrIggJCSgez93KbE6rv6ud+w2Lug0TKZ4QKfRTxNbpo5bfWh83DfoiVxE+IvbjPX8k/7sE\nbVyVNiaW6MeQynrnOPf25BenbT969b+7/REBfmhUJA7XQEib6lDyCnIogb5VRkCOA4hq0jJNScYd\njz+M2Y7G7rZy434Q9YsyBHWe3e3/FgjX+sYQkWMQi3t2K8e/jEju4Tv2+MnjaVuj9f9AGmpCdVRo\n8cG53Se2IqTrwtGePH5r2qIl2z05rSsQlGdElFdft0Yd38kFHqgbSy0EIEoPdAI9vB5VQFREpMVv\nGbnqcD/zb1X8MQaCcX1rpNcGBNiM5pUGROWBCLNhhAIQLuxQTzgSDlUw52hlcgbVHtIJjLChLfIz\nd0+WNzYnBWhP9bcUEYkw1gJhlBAILx2/AaE4pPFUoABmR96VAWCSFqh+TeintueM2lqlEKKUUHqg\nf4xSJ6GSmEkSQT3ZmCiNcZIAfWGhxRrjb0sTe1IscUxCDTAX7GieSJEBiEkm4/LSkcYfn7xjv4XY\n6emxa5uHKyv2aFp4eO5+PG1DnYp05LWnSEga2zkp2T0h9DEBAp+QSGtbYyzgOdWQIHCK8v+wpyIS\nyA+wTFADf9KGxIdVCiikAqgIY5YRqQQipjwXjxBbHnG/9uQJG4YooiICfICxlpAnYYB2v+leTNuG\n0SFBGaFZAbICTceEdswTexTlzEgSBW3ImYYSRUER3RMj5qmmo/E/w30ycpu4Y233z6Ztx6u7Hqwc\nHpHy4cOHDx8+fPi4Z/gXKR8+fPjw4cOHj3vGm/Pak0HYrmqYUgak8TDCVyggZdcW/k+kj6ME1JBI\njCE0e0YizCm3PAUEvToyyFa9uV7dkmI6YOymt3TLLHMwctvYO2iKtBTrTkyQMqVWekDlz199JiIi\nD84MHtV0R0gQb9cgPUQEfEH6jLWQikJ1VEhtGmTniODmGgQ8TTvttgZ7L47cdYVETk6gjp7NrK0b\npGzK3rRVAoWqAztWlAJSJR0n5fj1RKxsABmHUBGfHWgMKTmaNYNc+/REQN9Ujjx/unx32pZBe+Vk\nZWmsy+3X8O+/2DEACzcg2xakRK8k55RSi1nkyOFtzyq+7vORxm6YqIeZ9XFVq0+VpQWXkeo4YQzN\nTQuoKTXdZfvYbOBrlltfv4Iq99GRaUBVE1HaYOzTh44oXpPaeqJpaaS4VGlbxIjFKaVsIuQ769r6\neg7tr47aRFNAEaURlCBKXO9J+0uJ4kl6N2XPautKQO+JgK3nvlnbeM4zqEgT2blBqoKJ+kqAV6rA\ngojwL166duqF7j+kAAdKWc9w/5WUblkduTYpS0tZjTjnem/9r6mVhPznJo8/jKc5EctvNo6A3pRG\nzj1euXlnu7V7IkeKviXNnBW0x5rWxsRuC7cDmk/VR1C1eDh0THQdj3+3LeNrENdPOSnVq4ccz4kj\nUpQjF2+AqtDiPJoDxWy3D1b724C8X9O1NiA0d9R3W8x387md5xqp+hfXNiccn57i++5+Ol7aPfn4\nofPhe3FrtIjLly4F1A82/gZQOhLS0Qqhts0Or6rLFrPbQo5UlfqZkgFsvXdjd5ER3aBHupv8F3PQ\nDbj/m06pEuTUgbEbcU0EUltC/dniPHvoA3bUJykKO1I6pwDjhD0hUxRecKHOrn2OYzJRHNqCpHel\n6Wh9JoyjtdcwpXnvkujrhp5J6oZCen/qxRmRs4B6AIeUFl1vP5SfFB6R8uHDhw8fPnz4uGe8MURK\ngu6grFl9uJjX3cNDbSDCtvrpBPSmHQbqHM8HANktJVZs4N4wUzg550SwC4EM5DNDlSqsHEfymuvF\nrWDa1lb/TQ0VVfLriUBsDIiArKv5V7cOQWnJL2gO76g0sLf6GPvYVbb66Xt4o9ES4vgYK6aW/d+A\nyFGjKNlVHe5bggT3G0eEf3T+9rRNSbkFkThTECHbhkpd8VbP6IuuqntSJR+wIhuIqDiqTxzQipRX\nIToY2MMLSsF1Z6u0Ye9IwQ9OvkrXCpSOVkmn858TEZFdZYTiEoUM6qvHMKn6inEBQBA45C4Qch/X\nz1nZHNc9oxX5ogApfE99ApL5PHX77cnDKsbaNaLrV/8zlil4/MRJZlxeGUqocgLLY1tNl1pqT/IL\n7R5yFiBUj8LjxX2PEZEAq9nNhlzlsdJcrkwmRBGLgKUWFm4cban8fD53v1FE7oAIrsUWVJyQJEqO\ntv4vQFTl21+PcXJkCuwT6kXk5dtbN+4DoBoxee2tzl3bba+ohB3K8yxhUAJpPDp9ZMcCEhaR2r+W\npHP9wYBVb0/+h4vCnfPVhbuG2cquoVB1cpr/KkgdRIQ0aIHCjFDyauuuP0wJftCxSwTcLNX51LVo\nvLLxr4rlxczuKz0ndacQERmx+qfulwEoAiPMOo8Vc0Iup/vO/RORr2GHz1YkHbPY4VqTL6ZtRzi/\ndrBrVcIye9cpEvTxM0McjqB2vliCnE2EfZVnWS2sAGMGsvtN+ZntN8Hzp6c5Ge3as3QPbvf2AGGF\nejfaKaEipmYHsndC81+D9iS3i8VEcqdCoQAZnoNiGxQ2kHehToE9SQH1isTq/UnzZBZoAZChr4vC\n3TsBeZJqh54sjNhf4Px2pfWdts9AY1ybIAGqqSRxEfMT5AIMlQzSdwi3EYicWPvr+Mzo/tPMSszt\n3lER2mvCI1I+fPjw4cOHDx/3DP8i5cOHDx8+fPjwcc94Y6m9chhlJC2mBCmOODA4rwMsHhG02oG8\nzGkp1SVKSO9I/2QtjO3ewXNKWOsp7VUgtbJcWCpk3Tlj0oSg6E3tUgErIkXf3rpjHAdmfJkgfVKP\nRDZFakuRxav1x9Nn4ehI0R0ZHweT7hPB00Clj4/sWHECE2ZKGfU1COWxHb9SVWCYonbU1qpsvN8T\nYTd1+z1Qm4bCa0OpNdX9CAJL96lBZUgwahRD24eup2uR7kO6sSEScwKz1pFVlHEyTFiuO3fOm4rI\n8/kjnO9dUviD1TenbZ++/L47j8HB3gz7Bw1Uv4nYr4ajfW/9lEZI45JpZhBpqpL0XqDsnrBSfu3a\nLoHJ73JpaZwRar7kxS0B0lgrguKVWMuaTTFUefel9VMG7Z/dxmBqTRtd37i0IOupPHnidKFYxfx2\n7dLdKWmW6ed7IqrnhTvPjDSDcqRZX61f3Pmewv5Mdl+tXPp8TSTyAqnSjlIh+0ELUDhl5K6jJl0u\nlYOqm6tpm6pi75Cqu3hlad9EBxlRC4bWXevi2O6/eu9+W5HenWgBAqU21KCaVcm3a9wnpV3PBlpF\np2cufbQvqWAEOlZnVFiwR2qvrImCgDGzWpGOFtKtfD9rNr6j+3QHl4cOk42mDkVEchChSRxdBOMu\np0KJAYT2NOa0uJ4c3096ImQWDo0uNQoY6Z5Ug25OGc8X7n6aH1m6Lbr6kdsHmyGj8CYoqKABxOeR\n6Osffvx/i4jI8akrzohprjnKXYHSMrR7OENqr6ZnzQrPtpAcMFpNn1IBhrpdTLwLERkHnfdBhI6o\niCR3fXGztTT+InftPuPcNlKrq4x0nDr3944MisN0Jv9tzBJ3jT0RyjV91lfqUG3jup3oCHavaccu\nl5bG09Qz63gtg7dxjTZP7qEsvquYvD+dibsW6n8tjuhaIqD3+hkXKiFVndK7A/q9ozGplILugObw\nkzEnj0j58OHDhw8fPnzcM94cIlWPk5eZiEgOsnfL/nsT6YxQAixrWH6gV68dkglQddaAVaGBOux7\ntyJNa3obx0vyrCAV7RKrFVrV6qpmRyXsuorf1/aWXkDRdWBpa6xYVM1XCMHoIOtAfG1p8VrNKtIn\nyy+LiMj5mZX1CwiV695WjmXr3uZ7Xn1iNT/27rNlzm/wbijc7olYCwSBVwZKOkxo9T+2d1XUdZHC\niyT1eBqorHpSyEUbNi2RiEGEDWjPw7Q0IZSudX1S1kaOrBr3d0KrnzBU8qbt72T1VEREXt7+s9tH\naW04E4e+sUyHUoUTUvEd0XYRrVJVRT4h8nKkJbvsCRZoUQBI9LUdvwKhOh1pTKoUAxHbX3zhihHO\nzs6nbeod1pInVQ1iOSMiKjeiqMPbT9+dPpvPIfVAEhot2nqxMOkQVXRnrytFP1htnJXfLbCa1HJ1\nkitQ1fOM1PZvrl35f0iQpMo5nJ4aSlQBnenJu1ERu4HkTEqQ0lW9n2zIjORPG3UM8/jX1tnvDaaZ\n6zlTCbkyZss9qddDOkLlKkSstFtLtweSGgiBXOwIElJUL6V+VSmIhr63fOQQxu1LQwT7qSiHFeDd\n332Jwh66fv2L5S96VUInEvVs4cZOzP6T0+RG9+TkpzhtkiED6gCUrqO2iXHvxtT/IcZOQPdVXMAv\nriSiODwJD+Q/ADel5Im43ji05xMQ0E+XD6fP6hoyGXO7J7/26BdEROTVjSlhl7VDVR4uDGHWuWO7\nsevZN+450tcsHZLrhYnI4X2VAeHqqDS/xH2yeg1hP6PCihVkbOLa+kkRKeLzy4j7NBIbTz2ed61K\nZ/R2rBok/iCg5xmKcfr4pR1/7uYnldUREUng7nGc09yJ8dG1P7RjgDSuz/+6uivN0VHBhLY1FzvY\n+bHXqsrp2HhK8ewOCKVleYrXhUekfPjw4cOHDx8+7hn+RcqHDx8+fPjw4eOe8cZSe5tqlIyIbiof\nFJIWSojTW5ev7IdKjiR1XlXbbSrbZtkzu8QGaY5PLxwRscgMsm0aVf022C+F2umeNHs6pAX2W1IM\nBmH3Zm2ppSRx6riqcSUiUu6dVoZ5oJJ2h2h6yK6/xjVGZPz4lS85LSQ2fk1AUN/vTQulRDpA1bRF\nZOrtGLB00LHCtZoG23WVtYNnq8ZgTW3NgNJzIaDSmPSWItWqsqNLrCrWgR03BXl1ABGSMiYTATwc\n7fp7USVgMpFUdWQyTV5DK+rh/F07T1WMJsmQo5lLkdZIre4rIyJvAWfnBelY4Yqy2NJIg6ZxezKy\nDh2MncZEVMZv+5bHpPs3zVyqrFpbKkbTkikbfyJV9eLF57YtVKK2pQxeIn2zWFoK7vzc6U1VPafP\nXD8+euSItScnRhhWQvlmc0Pb0oPPRESqCvcO5aAzKItHIbediw0pcD96rARh1zcdmQFXMFlOqYhk\nvXbXGBMBXlN/rLatE8BI+xs1zUkw/nbt+jtT/TgyTR9jd+9ywYAKmtdkxqvsgYR06W6uPxURkZNT\n02WL0BfVNRkjoy9WZIxb1Wr47P6dLexev712Y7IhysLJzM0119fcTyiAoHZav3TzaEIqzprtaKmi\nQdPnquOTUtpPNb24ACSB0fSMNPhUsZ3TuRHGzEBt3ENZPaJ5NwxtvIscpt2ublx/lQM5UIB6MSdi\n92ru2mRVXk/bXm1cu/Mc37aq7WVtrGTjjz/9zyIi8vbjd6fPZuc/786XcmEPzhyh+uuP/6dp2w9f\n/Ce3r9BSe6coEJrndp9ejC4duA1t3tmBXjErdPzRvYY0akC6R+XWXX9LRREzzI98n8SgdhArQEKk\nhUOhZxx2c0BLQZFXiOKJitLTAc4vLawN68Zd4/7GrquHAnuSWRqvKNy4n5OjRAyaR1vZPDGMjr4Q\nYNwx3UDNoFs2Ep/Sc3axWhRzYCQeKnmeKTgonqJxOAQH/I474REpHz58+PDhw4ePe8YbQ6TaapCu\nIIIXyqQHZkePqqZKqw9dLZFibafKrqSsO5VukrK2IlI3N+7tdndmq5VggrCIsIdX847Yxi3I0R35\nyinJeUmeYMqZLmiVNMvcKul279CELCLVVyBn3WCr3xylq1wSH+EN+vjIkIMZSnJvN0ZUfvYF/J9o\npSEdCJhAi0I63+kSY2uvEoTtiIjV7eguLGqtTRItFz0oCgByRL5KM3h9hVQlO6FuuK6YVnoqJzAS\nYXoI1cOJEIlU1b6p1B2Lo31NpfNzdx3bC0I98efJ3KE1EfmlVSp/QX2SgHTYEHKlXodxYH2Sg3ie\nkPzCvnW/6cVQpzR2q/iqv0vOVkXjhMqfOwysJLR7R8nA6i8nItJhxXbESAdWeIywavufnzpkKDwo\nK0ZpPh0rS9QVwI6lxOOAiN2pklyZ7QkUZaR73IoH4NdF6FMDlETRFRErYY5Y6gDXX5H/nBaZ9K8h\njG63dp8ssIpWwm5IRQx9wzX+Liqgn2lEiJSO+55W/1Bgv70y5HBx7O7/6EA6AirWhJKZjAPuDUIV\nCiAIFclaKPG2IBX9Aavq7c6uYQHEqGX5ARB0e0KkmknuAK4DRITOIfsSE4l+UokYuXgG45RW/00F\npX4u9Ud7DqyADq83RYYiQgSL3N0Lr0htvsJ45nGVQs7maG73zm2yxXnY9SSp2zejmTrGBsDF//KD\n/2v67ASK5nNyoFC1+7ceWql/F0I6Ym/tGkH25PzcikIyOCV8/uKfrAG08AS+diMVJUUoAEp4aGau\nDa8bQyTnGH+MtPS418OY7gk4RXAZiCKRARH6g8llwX3GRTTHS9cmcUoq+g1kGqh46dWVeyblOaF0\nyAj0RIDXIo9ZZnPXrnRz54DSDpa16PAsGtjrM1UVcxprotIZhFxN2haEUqJoQe9hkZ/+ouQRKR8+\nfPjw4cOHj3uGf5Hy4cOHDx8+fPi4Z7y51F4zCgnmSr5ysDQrYavGg3RMNsYpE9lc4fuA4L4GJNqO\n4GZN4+ygt/Tq9uPps0XhYDzWk6igxcRq12pGKqQArcS6R6cGQQ8gFFd0/BxQpRKhI4LHswRmuKQZ\npKK0aWyptRhptiQyGLUGoTyi7pyrWelgMH6HFEwIUjibJqcwvGRyaAsyetcZZK7mvjnJ/apSfDta\nh8bJGY5lcGuA9/YFKSCH0IjpQBgMqU00PRsS2XSOAoWUFHuVT9/Upu2lHEPW7NEea0mxt5i7tsix\n3/jY4PnrmxH7NXg6XYKwSNzEfelSBjkRQMcR50kpKD3qEBrZOIjVcNO1Q0nGm33o+npHKt713sH3\nnJ55C9pPdWX9OYMuS0NpvOcv3HWcnpsCtJrPqkFnP3DKyl1PSlpcmna6uaE0AsjQ7CwQ63giAqiS\nvCMyV9Xzi6APxPvokdJVMimf757U2dNjlypIYk7LuevYbGxMqEYc1RpMxPejpdtvVVP7I7XXk7aV\npttbIpsn6NmBdGwWSCPvNra/zY0rAHjwwAjotzcYOzMbUAVU6ysUr7BmkwYXBagbgBZuiIgUSAFx\navf21rXFjrTSctxvIY1TTaWO2NZ2dq0V0ucFpXZC9N1I16+p14GdAvAT1Q4SEYnn7jxHvqEC1QDC\n9dDxC+hundK2zSs3roeKdAThRhFTUc4CBtnVQArwaozMOkEomlBS/rNn/zx99OGR0517793/YdqW\nZm4ny7mlgh6OrnhjX9j802E+TYg8vkBfryorXumRvsLUIDURq1VvjN0h1Nyd1bnXNe4PmpMizCMR\nzZ0l5q6Q0s1aeNNRGwfaPpjrj1ZPps9WC6dtOJKOVALKwi2lltXw+uUrM3d+dOzSnDG5h0z0DnI+\nyTK4d+DZ3ZGJ8Ch3nx06hpiWMGIb63JNBRWJfU8LJSLCmbyOlA8fPnz48OHDx88o3hgiVdUb2VD5\n/wKkQFai7vGWOptZueTVjXurD8nrR8veO1ZOhncZqxiPIK8XM/eme7M1hd8gdETQILLvN4N7+29b\neqvGSzcTsJWodrs1AvIZVhojl1UCWUshV8ClmQUI47PCVpoVPLcqQhU2G4eSrRZ2nutbt3ItWeoA\n5zSnFUkLKQZVM+6p+5XYycTGDUi5dU1v/zjljtC/AI3SECm/C905ZVRW3IG0GhXWx1GMslpd1ZJc\nhRYeBLQtkQT7tfZPsMLaVhf0W9dnIWyA4DUAACAASURBVPkJyohVamwr8iCATEWonn/kl7Vyq8TN\njspwUWygCKKISInS4I6UnZU9O3Y2TuPR/YZsGqUBmjlg5dRHto+ydee5yljZ3J1vnrMSNRBZlhpA\nYcHVhY3JUPuWVmlKGtf7juUKelwP+1XeXDo0bbWy62+Azpwck68gCNJM4tX7M6MVcT99rgrTtgpV\nKZSRiKAxPm8IJVLkin87oh9bundGoCgdrfADlDWron1B57YGZN4TqqJK/AFLUuQotiDC9mavJe5U\nko623m6tAGJ1Cj9LKq/ugWLH8OtkErVWhfB1qfwD36cqmbKjdlL0o1gYcnL50vVnV5OfHWQnFH1j\nvZAid78Nae7SAqB4RsUzOP5Iq3+Vs2FivU4oIyGxqsqtKAh7vk0EaCpAyTB24x0p0KM989TG6fmp\nu65tSIUSQHEDGuM15owYJPKAniv/zwf/KCIiKTlgfPnRe+4aqLBmDkRYkUERkWvcOw2h5KJK7SQF\npM2tcyMjqCEUxQN6rmhyJCBU56p2468n9GvZu/6J+Jmk8znNcXpvtXTvBor2dm5/M8hLiIisjt2z\nq2tYMRxo3sWn06YCnoA5OWrcbF0xRkoK7AmKNnrKZiQgfg9Af/vG7mEtSpmR/II+W3u6d3qM04DR\npUClc9jrEE4pPJ8H3At3wyNSPnz48OHDhw8f9wz/IuXDhw8fPnz48HHPeGOpvaHupQ+JxA2T0QWZ\nPCqMF61I92bvYLmyNMha1cNrIqD10ILIKI2kkGUEyJbVeXs1vgyJbAtYPjrQ0VFtE4Ii8fe2tNTS\nyYkzCCURX1EcVQ1vk5h0LwAdJqSmGhYutXR9a2aYLwYHlZaNwY5Br5o9Bq0GIJIPdIwI5L0AqaA4\npPQkSIRRRGTfmZL4aVuvaUFKmQBmD4iwp30RElE+gPZX3LOOicK4UKwdKe2Cdho6e9/vQJgMWG0c\nfR2S3s6udGaZBSkLDyBDRgTVB0jbJinMQEceV64v5vNH9n0dV5lB20Hktm32RmxOYMgdlQQjx3q+\n1p450tYd0qic4lksXbo7qKkoYebOKaFrbWEum1Fq5cXnn+NYpHdWun2fcqYIRO7N2p370YldVw2y\ndVmSyWrp0lJ5bsdiQrOGkszZIHYGojAXheg9qFpQnE7QiCk9oSmtGaU721I1i+7qg4WUqlSibkKp\nKi0GqHCNPaURlQA/UMpGjVHjhG5sKO9nuaVn6tLth8n+vd7/OadPkUYisq+myibiPaXCyr07/q4m\nc/dA9b6sTzQdy3QHNetmsv9kCM3m1kiH3ML4eLkkFwXMD3lO6WYocM+WVsTQD65P2HB90gqkPtEC\nGJYbi5C+6ysdO9ZfGzwnrqjY4AtoSm33ZFoeoN1TKgBAoUJE+kjbtWuLek/9joILLViIYupXENr/\n5YP/ZNcVuPv0ydlbtg+krzpy25iDjP78pZGtQ6ToczJBTis3J/Ql2obSUxmwj4YpC3qtZMYe4nu7\nxsaJpv4zmn8TTcFS+rRBSq0kXb5E9cMwTudLS5lqsclua8dq1DWD+n+OIoacuA0VTLWb1vozhsp5\nwu4VB0pXIk3NzzXQE2IbpxnaoqF0ez39bVSdiRZBQmaTkTwVVHhlcx8+fPjw4cOHj59RvDFEKs9i\nycjDqdyjhPehIRiRqmy39qa7XLq3yZpJrPCCYzkBJRnniSE8RQH0A2WdKa3MdNXHq9pYV07EM4si\nRWnojRjICYlSy6tb5+eXkSp1CsJcBGPBOGayN0qO6c1bPb4qWi1c3zq/vs/l42nbMnfIFas4K7H4\ngBQKUv4Isl3ICBaQgZ7UYSP8tiBic6uyE7T6VfXYsraS+BjkwX6wVeKANq4qWmFpyTZIpx2RY8NR\nCYYWFVY6OY0J7bKRVt/rnVuljgmTkqGeTu1eQb1dUPIajLSq76Dmm1jHzkHUDQNCJOE7uCOfvJtr\n109Vber5i8U59mttnGmpr/J6aeGlZO+M0IoYK63rG0M/iwKlxuS1pighl64/eQyvPS5/ByKWQB3+\n6sp8LVVF+/raCOtaiv/ooa2+5wu3j4HgB/WzGgjpUGSXAIGpxHoOtKCsuDgEZHciseZAUAZakZYg\nhTOJewn5AZZuuLhw13Y8IzRLfdpArK531jZawh/TSl8hFvYVVDeAlhSzC6A0C3I20NX3SA2QYo5h\nlGQ6N9yL7OF3dApl70tbaat6+cnKrmu7d9dxfGRoYQnUk1fXA+5xPrqiVDmU0vfUrglQUlZbT3CN\nvA8tReexPnGcCZFSiYORJC7UvUB9IHuSkNFd5ETiztVXcGdzTQOUsidPUCU053STjZN0gCG3ww5K\n2RPZnd023LldXFih0vvR/yEiIlnyv9o5Ne5Y7GuoWRJGH3c7+HnmdozTIyctsI70eWXnpl6vWWzf\n7zCHsEzG9NhjsjXQp4j8X/V5w3Nngrl429r+whTkfYxrJcKLiAShosrTJtkpwktyKnHkxiK7XcSx\nZiIMzdeiDX4+6xAYe32uMbEcfq0VIdKYuzJSxe9adwweT02piDAXr7l2Yj9LdtJ4XXhEyocPHz58\n+PDh457xxhCpxSyQikouE+Sh96TSeXrm3n6zwFCdonCrr5xWf6UKRhKXIIKPHYv0aYl3jXzsSEKH\nU16WkIYUfmk1oR+6cIxolaoePxEJRwbw4hoDFqmET5xyANiZHpyjYWD0ByX0JP65rdzqsO1sv1tw\nc/KZvekfzx7hGOQcDk9AkxpgrAc+fCELaGK1SgsyQ6e4hNQdI46I84ZrS1MqXQdvi0VHdbWnKF1E\niJCWZA/Ur1pq3weG/liZNokpwhNwV5GonLjjFjGvZlwbbHcOrRhb+0w5B+FIIqE4REEcIend56dH\nD6dNzy9+7I5PJekl+BKruR0Di1SZo3Q3TW21GKKcuSXPtzW4TB1JcuTgnjSENM2AurStjcmjlSs/\nvt3ayn21gvgjyvWrve1XqYFcwq5IS0C8QeWNLJaG3H3xhUPkVrRNOYpahi9ipe7KjWK3+puNO88Z\nlZrv4adXFIZIbPeujTviI6lgZE+r6kXq2vjm1lC3DMjZFm0cE/dEhTi1DF7EUKq2s3ZSLlOYkiAo\nkLaE+DWLY3f8qrT2VwSYGRgJEItRfepY1BXyC2cPbKzdAEXsCE2egcOkIpwiIkfw2utGu0+6SrlM\njCaCrwlEIDkmr0/8y+hThK0No8TgerJ3o4puhsSvihSd6G2eEvDQ1Ap0uyPuTavZBOK5gbfFD7ME\nk1bHWqYpBBkJidcfhYRcSaxjB3MHoTrKXwtpTv7hxx+KiEheGPr3zXf/R3e+JNxaA01iTzjBuKfb\neWr3HDxLFjCuA4i0kviowjUd+0QCCabbaRKVZES+h/xDT2Re1dXMaDy3QJYyiKmygKmKWhL1UEa0\nMUv8rDdO/iElfqmOOn6eKtdXeXbuElViRn31bP7NIB3RESKHR6eE7N0a6G/p3Bs3FhvaX6jfY4mV\nu9TNg/CIlA8fPnz48OHDxz3Dv0j58OHDhw8fPnzcM95Yai9L5lKTiniA1NbVpWGcx4DC44BVX+GX\nRTIFi5WDdrc3BgFrGi9JmFjnPs8A8TcE+yuxtetT+r77eyDCXIWS1DwzyDCGengUEYwNaDUnxLpu\nXApClZ1rSg9sSvfFglRfk8FtY0mEFrIH+8p+W4BZWGR2nkq2ffTgW9O2D37oSnY/v3ZE+FQMztTU\nCqdscpQOszqvpgc4FaCq3PFAxPrOpRRCylloNenAfn4NCJVKqCfF+gZSBA2pLqvUQLkmrzeQbGdE\nCk8AXzdUFDCC+N63rJ6N/W3dWNT0p4hInoGIHVoqbti6/WXUJ6qAm1Ja+ASl4B+9/PG0ra6h4kxw\n92oGRf8Aqb0jSmNdQ52dPLSUjF/kVn6ssHwxt3NK0WfHubXJDikl9iT88Q9Btj52BQunZ+fTZzc3\njijPqd0MxOKSSNmrhUtpDAOl25FmnM+JvI8+TohEqqTldpImoXsIwH9CRSk3N+7c0xXJhOC+C3pK\nC8Knjguogxj9RGXVk1Iy5AQ47aMpu+BguXlX2bwDHSEimYa8cOmwgQirSigvqCqlh6J3SHmRRgn4\nyG1tb21MLiEPM1tauicAsXt3ZR6OIUi8SzqWzhkR+WQWaNucnBpur12/NyBgq2+giMjRyo2PmiVE\nMP5iGmst6BYRFftMBR2syp3j88jGc4e+iGuQyFtSAkdK7ZIU+yvMD1wok4Bk3JLETovzHEniRQR9\nx5IUa9AHOhChqWBD1UQCKmwKcE7//MF/nrapOs4JKYBrai0h/CJDmr9pmJQPSkXjjpGKtY0g9TwE\nTAFBKoq8U1ucO9dTKWuEKR1abCBEpu7Uu47Td7i3e1BKusHu/27UogC7rnnq5rWzhc0nL26dJEvZ\nEKUHxVsJyQlp4VN74FSCIi/IBKV0v/TwxxxIwqBF+q6ImbCuqvi0W3yvJjkhvT0GIvQPBzSYu+ER\nKR8+fPjw4cOHj3vGG0Ok4mCQZWZvobutE1A8y43YeH0NsunCVhBF5lZiaUZlrQPQp6W9parDN5uK\nhyCN9p1KGBiq06D89oCcpiTj0VZVe6y0SyIRr4CI5IRSqO9XHJEnF1bOSpwbCC25wtv6OZWmClaL\nIfv8YFkRDCTgh9XEcm4l6auZc+SeJYYS/duf+1UREbn5PyEh0VtZcwdyeEWsxx5SB7OCiXiuQWdz\nWyVVQBMyaux94xCjIuNadxDwexJEA4rQYWXeEelUyfgD+ZUFQKkY1Wogp5CQSGiEFUtAJFItxW9a\n8trDUkIJ1Q35FTYVroFc7ROQXLve0M/jpRuzBZX15iBlnhSE8Ny6VXQcW7sXqZb9u2MsF4aWZIW7\nntu1SShkIMpviDB+duLQrxndTypOGNNq+urSkZIZ4VmtIGYLEvdua+NaQ6UJRAyxZMKqrtb2jFLB\ni68iQU719WNPQC280PZfr61t9BhM2FUhyMNSb9fuuzWR7QEFr2+t7c6BcF9SkUuKFfESIoEbEnrU\n85wREbZWRJqKDbrOndMQkNclhn1C7VSDDH9A1AXqExNyk8Xunq2wci+oOEFFUvtLIpYDdTp+8GTa\nppIFIS2/I4yPrrZ2ur5xY5zJ2wv03Q4SClVJJP65O18Wvx0VTSCUJkpUVuFuX7Mkhp7eGFFRispp\nwBNzFRv6NtzifGkM73vMyVQ81GFM9iQ/0KnA8pzv5wT7s3l/NnN/X1059LNtrL+0oGEYiB0eaPGO\ntdPHP/qBO/7TL0/bjiEdIeQrp9mWJaF+uz2QYPX/bAktQ/FQRwhK16JfW9tWY04OC9umno3NeJfE\nzR6jHSQRYoKzYqDiTaMCmjaGmg5CtxlJF6EpGCU/BbI/EolcRaGZlK4VXR0VY6mwrspqsDffFkK7\nPRVRhJgfYvJVVNkFnk8GeBeOLaNP2AeJWbNkwuvCI1I+fPjw4cOHDx/3DP8i5cOHDx8+fPjwcc94\nY6m9bVvLjHzYVMW0bY0I20IddiACeJw42Hc+IwVwQJqcWtkqzBvYtnnhUiC76hX+NXiyRWqJUxa6\nO86saXquJYGSEjBikrGHFnQvCO1XAugALRJWca6QZlu25us2wuMuIGJhnAAeJf+zFkTFQKydFgX2\nQ3DnCFj47QdfERGRj1788/SZ+h9VFXuIIWVB2lYKhSZErB3Rxgz3zibypm1LJl8vO0QgDtq+uQU8\n23N6BGkfIqeGMT4fDIpV36UiIQI2COAxMaVVq6olmLYHRK7Zu57SA5OycmdjMgChP6ZmyqAiv5pZ\nCmaGlFEuXIAw3LnGsnH9/vTx27gWG2zqIRWnlp69uXTpwfMT0xFSSeGLy5d2XSCehjR2ZtBeKma2\nvx00mJTsuaE0oqYWWPep7rUowa5LCeKcljs+RjqGEHstaGD/O9U+MuievPGQbuT0mBLVaxqnFZS9\nKWMmI8ixc0rBXVw4NfiTUyMA3750PpbXOzgr0PeVsMwpk2n/BwR8105ty9o60BsixaUZNLh2O2un\nDEUxFXmH5idQm26R2icibo05I6NUXIn05WxlKTAVEGItnGNoT21emo5WeOrO/dknH03bqplriwKp\nWPYL3G2gWVfYmCiWaE8qFFDy/EAaTEpeHkkXTpAqjeg8xxQFRRgbTCJXp4rH1Idb3E9XG9JsQpfN\nUvvtBlNh31n7r+CPOI6kVTWHptnGXc/1jRHbB/RJRNSKASm9fGlpJHW+eHllvno5FOq5KCnGOE2J\n7D9gnrzBuJaAH9NwwKDU4ggP03EgYr8S1um3AQprqCZjcg1grbg+eF0a61AXinUMr67dNT48+5Jd\nA+afjIqyjlD4VVPxgHoCBuTooefC5HHFfNSpI6AKkADP1YTcAQLMyQM9//RWDLl4C9pnCT3k00yL\nTIiUTx6srwuPSPnw4cOHDx8+fNwz3hgiFabBgefWCcqFbwlpUZFnXv0pUbwgNEsXQiO7OkOpNC6M\nvJ4DzVG13Q25hZd4Mw2IbK6KuQtSVt7l7k283xsi1WNVsSPF4g4SC2PDZHP3bxThrZpU1wNc5M3W\nVj8rlAan5BdU4K1+T4hQi7L6ly/M/+nn33Urgq6z1WyE0m4lTMa0hI+BKuUzLhgHEZHkAtTjrCvp\nTR/Xw25EHcpvw8Te6lv0XUQK5PMliMyhK6HffGEruB6ok6rEi4g0aPYoZhIlSOlETuy1TJ1K8hPI\nTgwpkdfRPjVWLoy0hCjrDciHq6xUAdu+dw3F3iMqUw5Q2JDQ/hKspg+8zka3v83G9d2jxTemz5Tj\nnOaGCCiakpOsR4/z29F4Vk+snIjiKrvA5c8xbp4WDcv9FYJYXpP8xBxK6HzvqnTIkhzhtRigmLHX\nXIXfEnlXFc1B+mWkczdgLqDvK5rLRSQxvO6akjzJBnWQt++lIKpvLm/oex3O3aF0Y0vSHCrJwL5y\nUHseCVbtgQhwSfzkNUgr4hboTJyw/IKLOaEZKvHw9IlDKb94+Xz67GTl5rPthtE/d+77yrY1IIg3\nJJOiqvBHR4bmaNn9EamXa5vs8NuE2loLCw5QJSUHU6FKEsGTkuvvVTKClu89yujHHUG8kD8IQV4O\nF6YYnmKO3xL6qUjHV8+tsOMTFGPcio2/GYjnazrPEHIuyyXJ3qB4Z4c5/uqaJFlKeL1Fd5Xgj+Z2\nnmaPaN9TV4LTYysKSFGMNBLqluJBkadKLKcCKIwxShJIiPGXUOZGJQRybn887lNCOMfCXWPNINSg\nmRN2hYCfLe5P7muFnV9efzJtmaGIZqBinwIP9Dinm1LtbFMbFCXmMX1OulCJAzxrIp5XQRints4w\n1x5YWAKd60ebJ4IE8z7tL0owJ9EzRrzXng8fPnz48OHDx88m/IuUDx8+fPjw4cPHPeONpfb6YZAg\nJYVpkC5PKRVRg+TLSrzj4FJmQ0dQKFJfNcHoynEsEtIlAmStsHNHRMgBkG0QGWQcpQ72zYnD9+jc\nbXt1ZVB0r6rgncF/NVIElIGZ4FFNrTA6HkN3qKwNMk1DEIEpFaY6Rim1XQ2tnvXWfvvRJ05l9+HZ\nV+0a9XJDEFZzItBBqyRLKWUBku2hYixMfikFq3DvSKrQmtoQMvyN8b2ctMJikM3zU7dtt7dz+vEX\nH+H7BkWrBk1AKroR5NOblhVzdRwRKR6QNXENRWKVKoaKMkmxL9HxGcHOOQjYZUepCEDrN7dG9k5z\n158djdNhUA0eguAB6V/duNTeIrdigzkGT0D6UDUUu/u9EeA1ZkQif+edd0VE5LPPntlvQWx/QKTQ\nIyhlP3/m0keTAbSIdCDxsjq9pnZmM9KA27lzykgBX41+mahsJFIbY5pKVX0ylhFXrZiGDFong2Ai\ncffQhUmJlL69dum7oTdSrBLg9z0p5eO4msab53YNGm3LRFN3fmyaPCKpTVlcaeGawGlMS0fc1VZi\nc1/d99WVS/MvqIhhC0X/k1NLY6n2VUHaSgOcHwJWFsexmOx+dubSfE1F+mGq7aZtTP3VIT3PSRcl\ntAdkRjzNcZRaDyJNgZIrhCqvl6xt5Nqux1wYkGZQhGPElJ6SEXqDVOxzHkDHbG1zYonU/yw1Un4q\n7p7JFjZ3h9AN1EKMkwekLYZ0V0puB+dnjsSf0/UL2j8msnUN7cGLS0vVPjhy93tA43mALlMAVfb+\ngLIC43caV5PRNz0nA8yTIc3JmirLaEyMmqIkU15Vnq9p7oqCQ01D1gILAndOOyqe6lpoplF6LAGV\nJSVl+RhzHDsAxBj/O5rjmvbm4LrZ5DiCaBWbdgueNey2MKUniVqRxuooYm2SJA3Ol8e9/MTwiJQP\nHz58+PDhw8c9440hUp0EEsX0Zoy31eXKCKvlpCJOpalYYSbklxXDf6ij18IKq+kZlclHWDKqN1ld\n2UozTO6qqSphNirsdXSJVZ8hHiK7HeQMdlSS36qKNhEwR5RVgsw2ULl0CFIkE8DzDOgblaPmIOrF\ne+u6AghPeWsrpw8+ctIGa1JxHsStGMJQyeG0CkiB9MR3icA9aThsUC67oDVpCzXsJCMVZSXsDdZP\nYepWkRkpFWexWxGPuMYnj74yfXa1ceXqbUuohhIhiW0cZ6q2TX0dqXQErf5BSkzYkyrW8lusIKmE\neybqYXgXkSoKW8GqoHEb2oqsvHGr/pqKF9QnKxjvkpLr3v32YmcFAzJ3K91stNVvGLo2bDvylcTq\n/Mnjp9O250Ciqr0Rqx8/fCwiIiP5VH38I+e7+ODcqeK/vLTjf+29XxARketrWxmeA4mak9r2FTze\nCMySCP3DfpZaks2rWfXEVCI8K9ZnhftMfRBFbPWdMtKiis2ENJ0cOaTjk09s9T/HCnO1MuTu8tKh\nGSGO22U2XrU4gREZJbsyIqP/y+i3bePmqTBgNN39m9IYU1+9kuYpRWCbTv0/6b5CX2/3dl9nkC7Z\nr21M6D3eU1sr6sXtdHXhUNTTE0O4Pn/h2qzI1FeTETmUyzOqiEuMEhsTiioFNHdpUQITewegeUFm\nRG31XY1x7j0V8Uju+i49O5s2NZB/2FFRiEp3zKitb3DZcUAyJSnQJFJAj5eu7dQbtSG5kixwbRwN\nJv/w4NzNvymlHxQ5GkbOnLj9XlyY1ITgvufiEUWRukElTMh/FSz2jjQMFOE98HrVuT3kLA1cIcgB\nQhHeIaPvqZJ7x9Ixbt8R5i5GkHpIARUkIdDjOc3FO6oQn2YsyQDyPj28w8iN8Twhj0V9LmpGgtCn\nxRx+qSUr22/xL8lv4NmRkkySktxzyjrEKLiJSTqDmuy14REpHz58+PDhw4ePe4Z/kfLhw4cPHz58\n+LhnvLHUnvSh1EQEKwCtdgQjp4DKn18ZiTeAgMZsQWagQCVbUh9tkUbp6Rgj3hv3IDGOdPmKVJNg\n+QTtzgdijCvsmJKKLdKBGZGya8CDFSm2DjinCTIltrmSrhdErI5B4ksTIrYG7gSPSbNkB7PUqLXf\nrrcO7n7WGdk4gdHzYuWgzXlORHxRg2JKO8FQU02BRUR2UGDejaxZAriZjJwThZtjO/cOZPzN1tSz\ni1NHtmxbNYi2Dnh05NJNn778dNqWgZTPAiEJdISKgq5HCcLUd5FqkFAKsEK6U5Du6tnkVTmcwqko\n1+7xaPvNkUZqdhfTtnpw19ixYjUuMSOy7YgCCT3Wq8uPp8+OoB4dCaWxcY0JHV+1xS4u7fhKFF+s\nLAXy8TOXxjs9NbK5ppKDEHpKM0utX2N/GRGwM2ggffHcUmZffvddERG5urI0YgaCfEzEUtWRIlFo\nERQNaEovT20MqxL6nFLGDdK8yxmZ/CLdsbmxFNCIioJTUvu+XbvrOT6y+3S1cv3Z93cVnkXV8Snd\nHmHc1eSKkOdI84xMI8D5UUGJ/nZPelfaTmpGLCKyWKiAnmp8kfEzqAU9pbsbjPViaWOihfZQQAa1\nEegTHaVAdtCWamiePDl1bbbbIj3JaXTo4yWUMlOWPad7AhQAjZ1dl6pi91RsoUa/UW7zzqgafVDA\njniehsZQSppdK/TxFaWR1xs3Fi+pXTUtGlMBSop5nPjHkiUuVbecuflsNbPnT/akwKmRkXeu+6fi\nKUwZNQk0KUUhTS0FtoFuYBnfbRMt2IiJHtBPhUq2jw4PLcq2SoeUKhdlhRgLPVEF1NKB96eOGilR\nMKJE7w+Q2CllnMLFImiIgN67MVPSMyFFMUrfGFUgxr0b05hQJfswIw3AFgUd0CIribKgOnoj6b01\nFWgURO3Q/mEjY03pj0QpGEBL6YkCEghPWnfDI1I+fPjw4cOHDx/3jDeGSMVhIe2eSNwPHImQlVC1\nFLqubVu1BkpEK2f1ogpoRajeOXsqiVcCXlnBVy/isnoQ+0jBtK0O1VRFRIJpBW9vqAXeqnNqzhwo\nFS20plVfC9Xh6mC15FY6p0BhRKyEWgJb/aZYsZ8ckzcQ2uyEFNi7Z1AAJmXjGuR2LSHlzp8fu9+m\nRLrssMJISB46AyK4L61dYyBXpHUuqaIoO1sRL7Fy3O7snIpUVydQwj0gx+J3JImhvmcpMZvDGF5r\ndEGxKgCTT5+qMbcdlc6PqlQMwjJBkhVQqoT8Ghdo/yI2RDCCdEIRGmFXUc+BiNJanh+x/56qp2NJ\nnJBcR1m5VVeUGbE1xmq2r21MruF/VhABPEafXYMILmJK8ayUXwUoyYYP3bvvENn/1hHmQ0JkFJ3g\ncu148lWbNk1k9M3GUCKVM2DQJ0anNUB/DqQu9uqDSIggVp1NY/2k4yQgRLqG7EIQ2jZdkbZESk6A\nsAS4hpjIsZMig52uzOZu3lHJERGRGvIMaUoorZaJE0qjyE1MatMVxsl8bmP88tKhmW89dgrYF0Qs\nX3fuuEfU1zV8AseA5k60cUQyKWv0J/sP1nt3/JbmyS3mWJVhCInErIr5rBitfo4j3YD68UgOFIoO\nRIRwjSrxQaTsUQtegOYw+qZIa0sE/FDc9R/RPLHDPBHdWl83KgUwEClaYRzanxL0ZyDA53S/SIr9\nhdZek/yL8PNEBzl54mF88hjvR5lqxwAAIABJREFU4Cdb13aeOu9H8BVl+RW9d1iRQ+dplvvX8cyF\nQj2eSSWN3RxFW+FB9QT6iRAeBSCzApkj2q86PzQHjg0owKrZV9TNMTN2W9i4dp+TdIuS5wMiyseQ\nm1A0KSP09frazXEJne8IFFt9aEXoeT9wNsPtt2mtUEOATvGzIAkpK/Wa8IiUDx8+fPjw4cPHPcO/\nSPnw4cOHDx8+fNwz3lhqL0lEjkgLKgI8W6RkfAqy5SI1wmwXf+x+HxiMriTOkJTKC5Bc45SVmvE5\nINOGoFAgwUJelJKCRdiVlEaKkGbhV1DAmPHIWhhI2ZAxsaYbVW6qZu0MkFNTuv6z43dFROR6/cNp\n29A7qLigNF6OdFA0EIkQJ/jhJx9MW7a1S7OonkdDRMh5r8q1RKydDG05teNOPididwtTW9YnUp2T\nltJiqlrOOiafvfxYRESOFg9xTgTxAyrOidjaTyrqto8M6RnKQMiANF5OattV664/ILXfrlUFYvf/\nOCciOrRgQlIxj0GALQKDfScCMLE9c4ydLY2JGOlgJs8qkVnNbdPU0nibrSO55rmlDIvMQeAhDcCq\n2+D7RuJUlL3tDbJ+64lL29W1fW8H0uZbT50C/qsLI6wfqbYQEVFV5fvJEzNeffnyJc7dUhZqkMvk\nbU0VsCq4GiIrJ5TJoUoE7ohsrVo5I6XMVIsqpNRSCQPfjtIYi+URPrN0S4zzm8NcuSODZtWUS1mx\nGuMqowKQGiTetiFdOpxnRPdThfRNnDCxV90OiBSLuUv1uQ7TaFDWJ2LvbO7OvS6NApBhflDCuIhp\n+lxevLLrxz3bUapUk/QVtNVS6q8K5OHV+dv2ddyTIc11/R6adUSsHucgoJMGkrbT2LPeG+ZOGKiH\nnfVrA02zDTlA3EArryHdoyJ3bZKSQfQO2l6c7t+DZrBYkDEx5sUEadHF6uH0WQdz5T6zdtV7bOyI\nbC+qd0epfcwtccxq29BFCsiEHKnFqlEtKrHvY/5lcnSj2of0TIyVosHEfjzkxoxSgEjLthUXZemY\nJE1DUGlUF6zgFHzrjlFXlsbX1KPSaEREUsyTHemYJbHSLewald6RZ0Z2H6HbOIJa0tX2XJnP3N+s\nmdbu3DgJ+ZmEYqecxqm+AjB9p93BmJw00LqA74+74REpHz58+PDhw4ePe8YbQ6TmeSAr8hBL4JfD\nb7o3W7ctIw8tRWxCWumqAndHr7X6VpsRSqWryAZqqjWtwgZ9WyfSY4DVZzAQqtW6t9+MyM77BiW5\nVEKcYKXVEwVbzyQGeTAlxewCq9SQasMTqFgX+em07Xr7oYiIRJ2109HCIXZja+d0DlmBF6RU3Sdu\n5aREwYFK6KsdVoFExCzQPyzOrQrUjVBZP/qMyeaCFXbfW99ttg796ENbzY0D1OuxWoyFFauhRE5F\nAYG++1NZ/USKpFWFqjGz15ISiYPA9jcDKVHbZDG3VdhmDW88QpWG7RfuvA04kgSq+M3AysruX/aE\nS0BaZfKqKvvWgjah1aoSNpvRVnpd6MZwQihFD4RtILXfPZCI83NbTav8xyvy+nr80Kmh34CwuVgY\n+qvE8oQUu2dAbq6vr6ZtF1cOxfo3/+bfTtuuLt2K8GhpCGuP6+lJKbrFPauuAyMVOwTRXUkCRUxj\ngmkUm+AVtBK/h5pWxCgnr0liJcbqtIQkQULHV9SLj6+SDAnPSUB/GJHSwpeAFbMjRYJtRT4rHJpa\nVYSwZoc+hTEdq1b/OUL/eqA+A5lIblDkMT9A/9z9N5vZ4L25ccT2orDf1pAYUOA4JPR3QBFHR2zn\ndOXkAug2kQDzGRcljLhnB0KJApi8DSQnoaj3iKKQgyKGB64Yp7+1IoprEIprQhACoDNRRvNEr0iL\n7W/yiZxbH5e1O5cWKt4xef1pwQTPKzUKAFq6/xQ5YZ9Svf9shhVJ8Axg71QtUBghScLnq+hsQAhe\njGPU9PyLdMxQn4yYobkAQmU31FdVRGSPv0OxsXMMLrgWzPD1t0B62tY6qsZzl2UVFFqNSepB4DZQ\n0niKRjxPSKbgZOFcGVbLB+4cdzYnbiEhsSttTlrA47CLbL8VnjHsqKLX3VMB0h5SCxJZhicJfjLm\n5BEpHz58+PDhw4ePe4Z/kfLhw4cPHz58+LhnvLHU3mqZS0Ygp2rrxBHB+PibBGMn00bVieEod2Ru\nC8BflXjd/pSU52DJjJS9a6QFgpGJoFBxpfMMkXpqW9uWQltlfUmK3ZMsNpH9kCpUWHQYGXZ0qZCu\nM3Kiop1MzlPCap4xORPJjcGg2DnUkR+cGSm4vQQpE8abLZk2N0pKpPRIAN2pjAiLKdqwZPJdp7pc\nNpx6VawmaD8EoXIk9fAWqb2qgvExQcER4NQ4sPSQGp7GAadbUWxAuiOaR+16Mo1O7iowZ0gVz2Yw\ndCXNmgGpgJbUySsQS2+2RsrukY7tqZ+C16SqCuinhAGPJ7dvVSKOQtoH4P7La1NWzk8cxh5QylS1\nzTi1sFy49A2bcPcb18YnJw+mbbdrR8puAXEfHbFqkp673ZPPP3dpwS99ycjGIa71xQtLGT565FKG\ntzekdp7qvWNHUIK+Gi8L6wkh3coFEAHunZrukw6K6culpayuLt1xV0em99VMjgYWqtmjysoNpecK\npM+YMhCEarxq4y+BCWtAxNYG9+l2a3pDswKm3ZSWK0HK5xTYFmmLAoryrC1WgPj+6qWNiRppyYzS\nWKqfU9N4UrPmyxeW7l9gnGwoVZKlOk6VCE1FMbEqq1v7T8TqlbW13CJVR3PcgLaN53b9WqAy0H0X\nNe4eC1D5U+2sOKIv3XGT0O7hIxhpM19+g/n58YNH07b9Z+4aS0oj9pgf1qTVNcApYuxdH3ekDt41\nIOdXVNiANGpIRSw2xbCRLxS7A0qVz/U+tVGp5us6/gN6TEfY30j6SBnuIU4PdpgLB9IW0/ERk97T\niLzpjjQNIXMoy9zup0oLNFQzLLTGVnPllsSoVBU8I2L7AqTwkO5AvbaIfptCM2qeW999+a2fFxGR\nNcZVRhSIaIlCpZY1u6DsTs+pGUQdY65KUvcCunekc3831Mb9gZrc3fCIlA8fPnz48OHDxz3jjSFS\nxTyWiMrq1Wtru7bVh77Vk2Dp9PdAb7Wqsn11YwREfcHsxVbEp7qI1BUuvQVHKE1nNdUBvm9Vwyq2\nbjXBSqdpBqQlsVLz7d79TVx3ibGy3OMteBhtZXaLVdeTh/ZWvSsd6tH0jFKh/JYIiLcoe88DQ986\nrDCWCyLstW5Fui/VG8/OV1fQrPq7TNz3Y1qRBliRxqQEO8CvbhhJWR3SDhGxovMU5ayBrXS6BCgZ\nCPshUdaVsBsSgtUNW5ymoW8DSKENldqOk08Skc1X7riqxOx+DDQL17XMSf7hyG3bxdb+u41r15CI\niHusXLqRjo9+GglNUC8o9i5LAiWqgxzPhGWMMVbn3ZVuPKeRSSKoTEhC6KuWR0eHtfM4d1q59tgf\nZCLy3Mb1buf6+IxUtI+P3Oe7va3qj44d2Zh99RIgsQGjSTj+Qak9bvJsruXN5A2mw47kJ9K5KjFT\nH4LY3JF0hkoxNCSd0EJlmZErnQOGyWvPxpqivxGtRnOQ7XsqP+8w7jLy39QS/0hYEsK12Wpp30sS\nTEpEaI8xPtWbUPtBxBCk+cL65OKVQ5gWvfWdqkOXe0OaVFF6sSKy+bXr/4L8FNW0LdTJllbwiua2\njNwCVQsrzhK4vztqzxio60jZhE4RgQXdzxsUeaDf8xMrgNhcu+u53RixuMR9F8fUrziXJKbCAmQp\nopTcHga3v+2ekHNI18QR+rqiEvq9O8+KXDmqvSKtNq5HFJ7w+I+AehYkcaJSC3FC0imFO2e1RKxJ\nriMC6s9FEeoxGxw8J4EmcoZH56eBfBpr96MtOVDMZ++IiMjx4p1p24PTYxzLPWuu1h9Nn1WQU+no\n2aH+e+yKEUPqIKL5V9uHAE7JVy5LMKd2Ws7dfBf2rr++uLD5Z712Y7glX0dVhRdCE0XHHz0TVCak\np0KFmXoRVlQowUaGrwmPSPnw4cOHDx8+fNwz3pzXXhweeJg1W/fmvN6QWBx4CENnb7Vz8JEG4oio\nON16Z2+NKXKo+9oQqSB3b6kRVvrsqj2VOjOCgTL5mtAX6PzJcmb52wGCkbO5+QXdgsPRs69T5b5X\nQrhN5RVERHqUs768+GTatsjh1xbb27d6TdWM5o3u87r/fNrWNsg90zJlrs7t4CXsKFdet24fHSEC\nA0RSg9BWvw2uK3qN/2BNTt/D6FYVMfEBVDgzJtXTEShWrR5qrfHMFJxqB3KQ1xJq4j6FEHZlUbW9\nCgIGzHlxq8nVsXE5SiAWKv7Z0wpOVReKwa5hOXP5eALzpITvXcMwIVbkPYmJ7tHGq9SQAy0ZVt5Y\nL8Q9geN6QH5l13vXx3lhqzUt649YkmKm6JsdPwFvbntlq3lFTs4eufJi9Y1zxwWngvlA6KeqtFXt\nfOna9elbxsf77LNPRUTk5MyQs/UNkFNC6ZT/1GFJmhKqs9u5m60gQcwBq/6MYGpFApvGOiVBX+92\ndq0hSq33FaM0rp1yIDID+fCp/1mW3+U0MaqoTvfdSP5/oZakk+jt7Bj7JR4cdpOT/EDbjDg3d9yb\nGzvfy1dOfuPs7PG07RTCqZu1zXXKkVOxVhGRBjygq621k857jGak4KulkDoIhFEFnTsJfdM5s7T9\ndkD/kpPjaZsiVwEhrOnKoU3Djd33gcqDqDcjrfdXj9x1bT+1uabaut9uOpsnB6BJw2Dfy3I8J2p7\nxvSj+7za3c1OxMhOjI09a7bwhrtak4dfC04TzeeKCIchPWKBHC1m5FMZ6XPH5rMOqMsISZSIZACG\nWn39aKyNmBNZV2HAPE18xBrzYxsxmuX6oihM/PLtx++JiMj50ZenbSt42x0tXH+Gyf8yffbjZ/8k\nIiI/eP4fpm25Xg/xBlUSoqfBVjcqBE3yE8gwvXVu3NgSCPhXn35dREQCylJcXv3YXQuJ74YQTI0T\n4lzqWKc5scXzTOcGEZEYz2LmHAr7WL4mPCLlw4cPHz58+PBxz/ipL1Lf+c535NGjR/KLv/iL07Y/\n/MM/lLffflu+9a1vybe+9S3527/92+mzP/7jP5b33ntPvvGNb8jf/d3f/WzO2ocPHz58+PDh4/8D\n8VNTe7/zO78jv//7vy+//du/PW0LgkC++93vyne/+92D777//vvyV3/1V/L+++/LZ599Jr/2a78m\nH3zwwQRzczRde6AYXOPvPcG+mkbQ1JGIyAwE6H6wdMc8VzkBI5vXKO1v2P/olYNbFwvAzuQDFUze\nWHSSgPjazoiQO6jeSmCQeQFPqIR0GlYrB72rmreIyACoOO7hw7azz1IQ8DZEolRFYy5hjyNNNxIU\nmbq2224MHleyd55YykAVZaPYwbMH9LlaCfi2dRB3PS31Uw9YtCcYW9McTGxuUVbbU7pLy04TVraF\nanyC0vDbziDrPnSpgoFSwDnSgz2RCHuQJ9nDbPI6E0uBtbXb1u2pPZFGaPYu7RRkdnxNbaSZpWxD\nnO+YEgEXKbU6tL5TlXUmz2uBREkyBT1yhKrAG2fUKyCCS2iw/x6l201iqZ0Y5MjFwqBwTTM3JcsE\nuOPvqCT/7MylKpX0yeTgkyO4CHC/oiSbvR41tff555ZaXoDQ3ZV27jOkCLeUWjo/c6r9O/il5UR6\n1nLugIjde6T74hmpDiPd21O+tVi6lNFu5DSy4HpoPCvxHQrnXOo+R2n6bkv3OtKMTDbXlHJH2xYg\ndkeUglTyOCuVT2XalJbW6y6RiuNqbT279a2NtZWSc+fW/7fo45iI8nqt6isoIrKGJEZCB+lAJFdv\ntJhSsSrrEbCzgCp/UxorzkHLoHzTmLk+Y/mTEYRyLn8PVB8jvlucMSK1++iRyW+UaLuyskKlqwqF\nOq1tGwI3Fvc7SguiZH6/5wIIkPILlRrhMYQ0Ms8/+DOgeUofea/z/9xT8YBAbifOSvqeyk6orAC7\nI7i/t0Tt0IIFLpSqUIwRkpxIBPmZiFS8NY0ZEn1gQIUUe2I+eOCI50uMnRuSZJnDeePB8q1pW1s+\nc+fEUjdIQYYHMj0uLZ3SfXINl4WQHC0iPFvVPaCIbR85zv2aUrsj5tMgtNzmqHSL9jVpWZZuEJVE\nkDu//dfipyJSv/qrvyonJyd3tvNLkMbf/M3fyLe//W1JkkTeffdd+frXvy7/+I//+NMO4cOHDx8+\nfPjw8f/LuDfZ/E//9E/lL/7iL+SXfumX5E/+5E/k+PhYPv/8c/mVX/mV6Ttvv/22fPbZZ6/9fT82\nIgG/Qbt/B3oL7QMV8LI3yBXKIEsqTTyaY+UU/8B+i5UQcadlv4XXT+LeXAMi8en7cEwviPMExEYW\nqYT44nZtq5rjpVu5zJaGXGgpbkirlFfwaUuxwotpFZABrQj5hOEc3rfWTVmmb+JUwquIFa1cSnVH\nH8klG4TWNHLnduANhVfqjnzIQpTr9j0TsEHKJeRoelt/zcs1b1LvsIgRSpUfAKE9TowIvq/cym1O\nS4MRxO8sszapcC7DgYcaCJhEtlSn+5HE9GotfwfSNnC5LKQbophL8kFYpEKFCKhCOjJKoT8g6Qac\np6I6bptDWEIQywdefcJrKyD5hRDnVNZEmEaZ8IwI6JPDPZHn9xDfXFLpvJbkB0AJj1a0aFKUhOQH\nIrRhFNt51rUSxQ1pzOHPd3tpKPEcKBZLHHSTJ6L7d0YEzxqyAhHBxA1Qp4H6XwVzWRAxCFRMl9FH\n1z4NFY/kmfvteuOQixmtwnW8hrRa1gVkzygx7mce17e3INaTnIQKaw4HpdTuN3sqP49iN04U/TqQ\nkBj03OwaVImC0Ty9jusrQ6lzILa7yo6l5P6W6s8VAVKiNJ+tCqgKy3ooeZfnSfh0joT+hRgfTF7v\nkTkYaIxNXGQgaD2hCiHafUMFA5FmFhpr/7p18/Nub4hUCq/VVAy5e3Xp5slrEnMu0CYZ4KT0AG7A\n2A2tvSbZDyrrV08+RmTUO7MlhKvCGA9J4kaJ573KhfRMdEa/U1FGi/lnSYj8PHb3eJSyxJD6vxLZ\nutEsBXnNVU5O4/LG5okM93MaOjFf9ah05wfkjISLBRkTSohM7ZQWVqgVYr4fyKe0wBzwyfP3p21P\nnziBX0WO5nO7r85O3D5utnZdmjkR8lXVsduTdEcPIdSqvzvHhiSJMIl5/ytxL7L57/3e78mPfvQj\n+f73vy9PnjyRP/iDP/hXv8uTgA8fPnz48OHDx39PcS9E6uFDc5T/3d/9Xfn1X/91ERF5+vSpfPrp\np9Nnz549k6dPn752H//h330qgbgy1KdfOZOT87PXfs+HDx8+fPjw4eP/zXj14528+jHsisK72RaO\ne71IPX/+XJ48cZoxf/3Xfz1V9P3Gb/yG/NZv/ZZ897vflc8++0w+/PBD+eVf/uXX7uN//t+eSkck\nbuncqRyfWGqnBdwfjpQygAZPQ6kltXhLyOtthC5EMNhvA6SgUqhiB6SOHEdIOzVE+gQ8vSJPviRy\nqY9Na15r12v3QniyJMgS53K2spfOTefIwzsowSakxZIDWk1J9buHPlYxt/NMEpAII/ttDZh/IM0O\n9bgjCyepALemUO/OqP2HACkeUidXv6RxNOAyULJfamnM7R7EQtbWUZIr5fa2e5da2lNa6mjuiO+B\nwteDHSsLHQRfZKZF08FDa6S+y0LVUTEIfF+6lEY7rKdtEqpWEF0PyJglGqojEn2duN/OCoN1c6T0\n9gRjtyAZL2emmbRcuXF6RZpNHTStmtp+qz596jV24HQHjZmYUkYJ0ozDQWoJ6RlKY+1uHRm0IRVp\n1TuiDIzkGbwGWdlarwtptKOF9fUGukxJRvpgSKM2tZE9b0DoTA8KTVzb5VTkoenODON6t7VU1B6E\n6cdnlm7U1OpA16rX2FKbBKUbYwERuwOkmYKDaQ/pFozrgcj+qiLN6TlNafRkGKgpTdWdEhHJQTa/\nurR5YgkvuvhAWwdFBlyAgXPSO2c2IwqCqv1TyrhWRXFSdtYufnBiaaz1Dimj1vqkRAqsIK2wbCL2\nunQHe5KmaM+AtIBUsT8aOWWrPqn22wHXyOn+MHV9xt51WjwzIlXG3nAV7pMtKbbfbHGPUbFPhblz\nX1ubLDHv55HNJ7uNS2OVtbXJPHdtluDZEZHuXQIfvJiuoUPaJyT/zyiFd6YQKV/7jlKAI7zgOnru\ndOj5QRNGKX2GJk5jG+tPlm5cPSTF/hy+cjXlZTfQfrsmVfYWPpI7und1nq5La2MBKXtz63QOAzqn\n568+FBGRm9pAlBmuK6JiAx2TQ2/HUo28kTTwAmg/PXv+T9O2y+tvuOteQUeLiggiPHd6ola0oAMl\n4d13jJ7SeF2rqvik1QUtubfeXclb72Luiyp5/98bTeG/jZ/6IvXtb39b/uEf/kEuLi7knXfekT/6\noz+Sv//7v5fvf//7EgSBfOUrX5E///M/FxGRb37zm/Kbv/mb8s1vflPiOJY/+7M/86k9Hz58+PDh\nw8d/t/FTX6T+8i//8s6273znO//q97/3ve/J9773vZ964Lq5mkppRURikONyXulCFbsjFeUEq7+U\n3rR3a+c6n82pJB/s9aEh/zOsBHoopSdEmAuwmghiJtZCLmFmaccCsgtxSeqsg1v97ypDH06XXxIR\nkRk5aD86/qqIiHz0/D/i+LaCTRKgL1TWOQB9YAkBAdIW0+pL7dnahoiNkB9QJXQRkYW6g3c5ro+u\nFY7X4QFh3e0joRVhjCETEEo4zx06uSsNTRgCKMaKreYVMCi3tiKJBKs+JYJTuXoUqlu3XWuGAoBd\nZWRbJa9GhPCt4Ml2S5DcGlIUY0Hlv7gOJSK2hDRMbTfaCmYAobOuCblEHxeprXTnQOySM9t2e+NW\nv9veVnqKhGy3QL/mtIJFHzPpMcH4jFIq4R0hobAn9Amr37wwwmgJhEdRKBGRFVaziqqN5E331hOH\npn7x3GQNFLBbPiACOPqi3Bn6tzwCskyKwMpTHgm5qLbuOo6PHep0cWFl1SorcntLqteYMypSYJ+O\nSchZj+tXVFnEZAUYYekbdakHEb5ncrDrm57Wglr+PraE/u1cf2opuYhIiPF8cvpg2vbq0l0bK7sv\nUE7OXl7RhKxjpU0o7YS60HkWMx0nJBMA6GJPauMZULKAkLseF1fvyTsTh8iAxJU7m+tmMzd2IvI6\nDbVgg1ByRe4Gup8F/odCThWKxCY0TrVCZMzCg/+LiMSp+trZNVzBp7TPbK6ZYc5uCX1Tr79ZRp6U\nICWPdD0qRRHgX74ElaJPGOlEQU/EkhBKVCf0KYfaekyP3RbEcnZFqOHK0OH5ENXWr8vISQ28TZmb\nr527TIj6YLofuf5/tbb7WSUbeip22eq9u7V7t0db9NTuR83Hbh8btD+hSl/c/IvbR2Pz2oD7LiX0\nOcS1BoEhzKuFe3bs6RkfwAGiyO0e/+jT/+L2i0dx09iztgGqxl6jWiDF42QEOlYk9oyNJp9Ce551\n6LMg5AKIn0wn98rmPnz48OHDhw8f9wz/IuXDhw8fPnz48HHPeGOmxWEwk7oxImCag0RKxp8d4M7Z\nzCD7o4VLN+Qzg+w+AiktmxsUFyfut13JpFT3bw+183Ek0itSgVlKmkVIC80oPVCEC/zW9puJg1tv\nN0YsfXr+CyIiEtD3zpdP8T2XilxvX0yfRSCPRgnD2O64FSkmK+eMjRdFoLbckeEt0l0HRo4rpFRw\nTllEaR+FagNrwxCs5Lq1fsqgQRQQAT3BfuYFqSODsBiFREAFyXsgtrMq0KeZatxYimF1pDo6dKXQ\nAtqKQbsRdKa4KGGZO+ibYdyb9cfu+JFdTwmyc43BURFhWMneIWnBqAL6SCTKBinQs4WZfKrIdkxC\nKu88cmagr15+NG2r9i5tFWFN01XWXhuoFx+fcmoXKZPcoPVycPvII4PMZ0iVlDv73sOHDkYfqO8u\nofN0/tClB06ObR81SPEXV8+mbe/93C+5/RI5dQ9T3dNHp9O2FFA4jz+Fx6vSfnukKUCMyYjo9nOY\nBX/0wX+Ztj04cfc/p8L0FmNlcZXAynMiACMd8/KF3XdH0H6bZHRovz3SAjVda4b0IFMQdiBxL+bk\nGgsyNve/qsj/V/bea8eSZMsS267FURGRuqpu3Wo53TPE9ADkL/BLCRD8AxIghgIzGBIEBzNkN7v7\n9lUlM7MyQx7hWvDB1va9TkfOfQjgIl9sv2Skn3NcmJuZu6299lof35u2nmYM1mtL1ajO1D1Ux7dr\nowfo2ndNaczvvvtWRERev7bCFrVomHo7foN7PdPcscH1D1SU0LQgGyPNvVrZ95fUO1EGVKwvJL7F\nlCBlmdgjZkKBBrESJEQ6fmL18E6NZHEMSsUlOP6bl1YNfl27MXlPBPCxd9f/4spS69K71H5LFIwC\n9/FIKe0jlOxHFMLUDaV4QK0IKbVXiNIiuCgE18pq56o3R9/LEzdm+onS0kipta17npRkfP4K+lQv\nqBELnEpAafQOumQtORvcQ0eOr6eFyvpEBTAp+mwq1sebDs4PIG931F5atBWRsv2xR7qbtL1WmUtz\npyTM1YA0npK5cFC7v9e53fe3734vIiJx644/xDYmk9i13WptyuoJtOJubt/ZNqTMUy4ACNQV5bHL\nSUtjggtZPhUekfLhw4cPHz58+HhifD5Ean4h02AljFoGPRBhbQaztaBy1Tcv/1xERJrBlMWfX7jV\ndN9Z+WUMFKkiZWdYty2rn54UThe/KDbYwSq1b+17+dq9ueak4hwF7i15jozEe4Rn3jo3smmg8gOB\ne9POiBwXLsRG8sYCcsZcc5UimFkmAGXFR+HVP5RlSZW5A4lPycY5EdsTrJKUuCcikgAKioVQpcGt\nkvLE3v61xDkvqEwcv73v7T5NoypVE9l30tUMZC3onhyO7hrWCa0qU3cuShwWEenQZ7alISKKNma5\n3ZMX2TciInJ7MEQgGN1fztrEAAAgAElEQVQqLceq6kikxxAwxZwwiVjL5W1FpHIGH2+MlP3swrXP\nxcY88ULISTx7ZsULB6CTSgRviOw+q9fjyvpwAaQpzoiwC3/KiFR8k9D1iWxn2xqsTvkeqyZcAfkD\n9ot8+86d22ta/U/wNVSSuIjIJbzeTkRYVn78SAhPr6RsKl4YOi1TRltTaXJbu209+W+qT9tE6ui6\nWjycbO7YAOGZCeEaQOwfqI0rnPOs5fqkop5pYQu5LShaxOekKstMbO9BqJ/J10vR5DdvrD0Ph/3Z\nNYiY80GEsd5SCX8AImxNHoYbIFa3Hw0RzyBnwAU1R5UYIaVsLWRg5Gy3dvOpIngR9Yl40ZohWGlS\nxwAbE7Jy816YWJsEmm0gr8cZ7R2kbGwGQj+I8sFEStQoHprJbeEvvnHo/99+9/tlWxQommjH2uIY\nMc3xem9jvsdon5sH154jSW2kuXoy2n2NM/Qnkt9R38EptDHRod9F5GhRoI8lgx3/CsjKgOKFMjIi\neI7+1xCCdAOJlXRvz4RbZGLeU1u/rxwiV5GKe4w5ebe2frIu3X6yNaGEkBMYkJ1oqIhL5/WRJCRU\nKb1qeey6fVzuDOlSe0BqkuXZEVGfVMT+/b1Dx8uVIbhbnHsc2Fwf4/sR+59izo4IfYoxT7aUCVNS\n/jDbSaVBISLmnPLPwyNSPnz48OHDhw8fTwz/IuXDhw8fPnz48PHE+GypvXkqhDh0sofJZ0aKqT0I\n4K8JCrzYubRIRSTKMncpnYi0HpJZYVGDJ/M1oPrYpYoeaoNMF7IZEeYGpCAqJtYhVRUR2bBqkEaL\nLVV3qvG9wCDIUWFOCLWohpKIyAwTzCHgPB5I8UzOBszP6bEQ6Yt1atDmCeTxkMwoRxhDjoAxjzVB\nt7jWiUikQajGk3at3YyUApt2wngyJR2Zi+cufdHdmi7Qdf0B50RKyVCqDwCxhoG14S00hZ5v3yzb\nBqg3q1GvO2d3rQ1pi+Tpa+zPYNwI6rWXW0u33b111xHN7n5dsEEtUrUFGSmrzlhDhRKq1PzjT5Za\nVrg7o7YroIoeBVQAMOu/Dtrva0pFoz8PRNgMke5mdewYx5gIRm+QUhqZRIp0cFkaZK1964gUQECp\nrRwmw0Lk9P29Sw/81b/662Xb3/7d/ysiIr/4wtr1VLn99ZTaG9B3n5NSuWpQaYrv+QX1YYyh9cq2\nzUjZsNBvUbq+c0dsY9WRyXNKt6F9itL6WN+4c8o1LUf7HTGuWNl80RYi3aEBxwooZRhjcpsojdbB\nLDimuePyCvNZRWmxWc/N9TVVCXfn5NozJ9Na1dbi/bYnpIrJ2iIE8Xsgg+BQiecRE8rhsoB0b17a\nWEvQFhG1oaAvBkTsV+2tgHgJIX7LrgRTg6IU0iwKdq5/zIW77+M7G1cVvv/21goGZui4sbZYD62q\nkdpuwFw40hyXo0AgJrXvDtpCqovXkO5S2mDuTmhM4nIiepwGKEqKuCgI96LuyXB8jfacrZ9GMJVP\nU2jLEWF9Rgrw/t76y8/3SFmT2v0RafE9pSAbnbMpLb6GptraupNcbFVIjMyVZ01pq/GvfX8eoME4\nMy0FJG4yIx4n1yfr9n7ZludoHyoUUAJ4R4UqY+vapJ7dbwcSd7tcvcS5WbqxRRp/7G3HCea/iagN\n+nFLrhgzCiAicvkIqc0+FR6R8uHDhw8fPnz4eGJ8NkSq7ToJCJERcW/aXWevui0Qk/CsXNS9LQ9i\nb/BDr2+/tjf1M8oY9hr1N+6zVy++Wj7SsncqYJYJS42RSIQdVj09SQ10eD3PA1ZHdf8+HIxQH2Jl\nkSeXOG97Wz/1IALPhnSEQGmEVnCzYAU/kTprCE9AIuDl4j6/b42AOgRACQb3PVosLyT2KKMuAeQq\nZZkIEEu7/pZ+67atLozsvV67v3+Z2jnd7qEsfiYVDbIpliRpbGXAYewQqbu9tWEwuZXwurT7H4Ox\nWNdG9h6xcirX5NOGldMqNYQrf+6u9/33Tm0+m+z60wISCqRsP0Qoqz1+tGNhtTKRAvG7D9+6/RFy\neIVS7JTU8wNFqUAKTmhtM0M6Yqyp/B3+iGPHqvjunDq6T+OIsn5CrnIoP9PCUXoUErx56dCkn6/t\nujpoOPD4e/3qF+763hvS+Po1yMmh9f+fbxyhn5XVL7ZbnJt1vAwohh6DVfwVdboiSYZTA8I6ISiq\nxv/iuXldtkCaBiKvpyiGmE62rQBRWz3HCkKwlFjNsgp57lapCZGtVf4iprLuEWhSR3IaKZBYbv8K\nUhApFa8c9+p15sZrQu0aJerNaPOkKrWPI5VwQ4F/pOMnKNCYiGytqFtESJyei0pXFDkplgMJi5PH\n8+8ZqqDeZVSSH0CSQAqau6BePldGihZIdgQbN4eEz+y+1r91/fPmZN//ESTz+8bu69t7hyYVa2u7\naev2dyAHhh4Id5yQAjaQoxGFJ4xqz7MqZtvFqppHktK1giA/TVSAA0++ILVMSAXv0DKxOabGDkug\nwwMVTOjdfKDn5AOQ3pGyKRGyA0FIfRdzURdQKT92neekrA9HjZnmrgHSFUdIfTStHauBZEtMUhf9\nqJ6QjJy6bdc3JqcSXro5pqQ+HuizlVwpFnI/5HnG3trw+v69O1/K3PTjEd8zsn+BZ1s4PM7EPJBM\nkfq5PluZd2qUevkDHz58+PDhw4ePP0r4FykfPnz48OHDh48nxmdL7U3jcEaOzEHUrhsiHUKBmpV4\nW2ghtQTjHqFU2zZk7gqV7YTMCIvcpQgmpG+6iRSLVw6qnintkEKdN6CEHzh0UtUGLR+QbuhH0zu6\nQJorHClVBGhftUvmwjSmjoCbRzKDjEGUH4TU3kE2jUc7fqlmnKVBkVsoex9/Nhi7Rirxvn2H/dvx\nZ2ilbLaUHoKyc0OaLZ2So4mwOoHE2E9kfDpAn4g0wHYbRx493JG5MSDwEIq5q9JSgW3n/r69v1m2\naaqqG+1YYaLpULv/d/vv3ffonJ5d/Jm7LiK2bkqofb/8GxER+d2v/x87FnLFBaUiRpDRI0qZnaB9\nRbuVALD47a2d+xi6FOUgRrZMkHpW8eZxMji9H1QfyvY7DJpatX6ixrBshqqFDGlqaTGF24Wg7WF0\nbffdj9/j/6TYD6h+RcraIUi297d2DV984XRvJlLA1/TEdkfaXviXx72m70qk3dRsWUSkV72bmAyi\nU00F2jZNS7OOmbYdk9JV0T0j8ngOAnIYqXYM6eNM6oCwbJLu6Pp6mhCPAIdgvaUBmnGsGK5mxEVB\nqVroTQXUnzKk0gaYQDeNpVtTmHYLaVZJBsoAXVePOZP1kTS1EhNRXdWbQyqyiJEWXPzLiWytulMT\npZZCtLs6F4iIxKLFK7RWx3w7U/GGmjsHG9OlG26+FRGRqLrF/u18n//FvxYRkb97/+2yLUJb/PTd\nr5dt91Di3lPxxgyiektzV4U04jix3hdoBhj282RtGCJ9zmmkBGnmkFJwAegW42DbQk1zRjR28byp\nSKuqQQpUPbCjwK7/AEK1zWoiLc4pIoNkHTNTb/1UWS5BZMfSdG9Heouq49RTocoJmn7HB9dOTOzX\ntFuasxk0FOsjKmzoMHeFNk/s9zCtJlrKOODZTe4RgmMoe6GnlN0DHEIG0mILkdJcpcz3ASmf3EOU\nSTDRvLf0/5i04jbExv9EeETKhw8fPnz48OHjifH55A/GQSbydctAgOzpJXQC8VqVRkVE9lilHUnZ\nt6qUjGw/rkEA7UMu9YUqdu4+o8p0aeCnlRBhb5xRriyGSOhifhhpVVM7RGom9Cvv3SqtIPkBVWpV\nAiyvAlOU2o9UVh+CCJyT19UBx23o+FHg3rCT7C+WbavUkRef08rxdz84JGjCyjAjv6IQb+Etqbgr\n/3Ukvzz12uoZORjd9bOyd5k6RErREhFTry5yfn93K41a5SKoDVfwWBxnO8/9yV1DbQsi0Wr+nhCR\nAavoDx+JqI6y4he7v1y2jegz5cXXIiLy7EtbmVw/OML0VUyrOhQUBLTSntBpW1K7TgExDb3tb+yA\nupCifatyGoXbx5pQjcMB/SRhxXiH8MytoXoD7v802fXH4o4x0kqrq9z+Nlz+D9J6vHJtnZIStpaO\nM2FcizIyQkROWmp/srZO0NfXhGbFGAsdE+Uhf6GVy0NPRHCU39ekmK3ntKZ6bUWkei5TX1Ss7Xp6\nELQLRq4gbZLhGlmJfUYRAUudqIfeac9jB2OBizLQF1gpfkb/r2juKkG2n1i9W6UzVuhDpLqcJo89\n/LTUmwnwKmEQhjb/qExDQr/NcE8mKgAZ0bez0rV/ltv8JyghnykjIEC9EpKumDE/BYX5/w2VQ9ai\nztCEOVY/TUJuLl0RULDHfHL33g6FYoA//+LPlm3/+3/+v0VEZN/YmOgwx2ZEgH57/w7XSkRp9Kcw\nsT4e6LxbuHaKCSWegKrwvVbf1ZgkEQr1ST0RiRlz5pywxAykM2Y791Eg54Dvh1TE1IcodiLu8wjU\nqafnpIK4rOwfA7HKc1KlT4A+EaZSAbEbOrvG5uT+roBMNZQ5UomdkNDXbOXOmQHJEfdkpPZvUZRx\noue0AE0f6ccZiOKNPoCpAKCBdAhLkqSA8WN61kxApEYqCmnbx0h0nmC8pSZTwSjep8IjUj58+PDh\nw4cPH08M/yLlw4cPHz58+PDxxPhsqb3j8U52GyMit4qok4ryCGhzICPb/dGRd4+U2xmR0kliUgqP\nlFBuUP0BBOUychBjQJ81QO6m2VIRynEPQoO2lbDHOjYzUoZzwgS8I7aR3gggeDXNDAjiXJUX2L9B\nluHgrnUUTllEOE+DbBXGDmL6HkxLn11+s2z74d0/unMD6XwmcnYA+Lpnsj+IpSHBowE0syY28gQ8\n39QG2b+9/j2+R5pJUAyOSTOkRponTR4rS0cg27Oy9X6PdC+p006TGlRSGkeNqYkB/uO7fxARkSK3\nfpeuHMl1hgZPSppRJfoLG8pqejaaCW7vVFvMjt9WOHfSJZo7pJtIvb8LXap6Auk4JNQdPs6yWhlh\nO4diMqdxjuO37pwmNoh2JPNuolQZSMZ1S2RXQOXlFikbIlavobr84aNpRv3iK6cjdVMZAXp34dIi\n3/7++2Xbm5cuPZOepZuQsqJUUYe21YKSgKYkVfGe6b5O2EfbWd/NFKqf7V5rX+A0lpJRIyLWqkac\nEsVZR24WvV+2j67XMWHfU9VjNhdfJHBIl2xE6oM1m2qYyyZcUYB5SZ0VdkzYRz9NiIA9LIbndgKa\nUp+osKA6uf6cZtYnooXKQG2CfqwpsIlUt5WIPZO2WIT0YcBq14vOG5HYS9cnxwejAESrHPuzNMok\nbluIgpnmg/W/ce/mxImOf3HhxnNGzhKDXg9RC/Q302j9b4cCnZxU2UP0jwLp9pTSs32dYrf2/TRz\n329pTOj8P5CO1gHq6Ww4LymcKnIapyhuyULVOKP0PFTRq8oaWw2EZ0rjlriGrGAdJ3eMnKgF4+jm\nLk4Bq/I7TXtGaVnmXSKn46EYUVHIhHn3PAXtjv9ATiEdUnYzOXrEeI51NBmNSKVqKnSmcTVpYQOd\nsM4ZFZnQqxzjRM+9Cj8JM7vHSep+k+X2PJ8Cn9rz4cOHDx8+fPj4o8RnQ6TGYZKqthLqOHBv4XNA\nPmAjFHZHezO8e3Arkobe0pUgHuRUOo9yyYFWaVHg3v5PuiKnEvJgwmppthWEAkZMLA/h4ccE4MtL\nt2J8IMXc5NJdDwFXMoE0Ch68RLRaKgu3qhpbQj9yfV0mEi9WDiO9VSsp/ngytfGLtUMEEiLWXT1z\n56lKsCERTJWczWXA6uc30GolAuqnnnciIgkQqRMRZq/vILFAC+2y1NUJ+3q5f1NVXZ7o+oHcXT0z\nlGiNVcKP775btk1YQYesxIv+MdNqWuBF9d37v102BRBNLqNX+Iqt9NZQAt+uDRHQkvgoImLt4Fb6\nEfl63T+4FeluS6XuQF0Y9ZtAZA4SEDypXbXxQlKb1/ZkBXBtzYhWTYvEA62IR7RtTwUIShq/v3Nj\n8eLCxtDNtetPX//SHAD+8Vd/LyIif/VXVtjw/bcOfVR5CxGREoT2lojlDQjKq5WtiK1kHytN9rrT\nEn5ChGRZEVPfBcLKKLFy7FU5XMRQqpBxpwzl7CCvKkldRGTAMjxkpBvzSrkxBf4JBPx3P5on3Osv\nXX/qiCgfgTTcEXIbAJ3ke6zXY9dNpfYYQ4zIKpowMSKFv48nU4CeMSZu7m2eKko3dsuMJBGANseY\nY3ie6tBfk53Nf6IeelQ8o+M4GmiOBRI9l4YI90d3LunW9heiACVQJepXJo3w/lfO17FJrU2uH1zf\njQn9TEPXxwJCOhSBTzPrp3kKBwCS2ElAGi+AUjDaEKnXYEDq8MgIvNjaeT4cnXr36UDEerTj2FHf\n1RL7mQt6cP2iLgZ2Bl2tPoDsrKFIq53nhNsZkbNHisxCTGNMJVNYEmZB4Ak5C4FEJsiICLlihJAC\nSdhrcdTzJRI5np17chaY1pr2sXYq0cYjKZurTMSM7BD7+sWYd0eS6ZlAYm9Jgb5DW/T0nNLihZR8\nBTNIJwUxIVIMN38iPCLlw4cPHz58+PDxxPhsiFQQRFKf7C00RU6XqkolhO9aQKWOLRCbkd4qd2tX\nYjsQH+cA8bVptLz1JFjt6wpuIEJKq6t/e4PNt4oq8UrL/Rv1toIrQqxqEvteVbnjry5spaU5/E45\nCPTGncTue1o2LyJyB8+tkPYrqXubJyqLBLie+9O7Zduz/kv3PRaTi3XVj9Jk8mGaBwioDcQzaJH7\n5pW+ngaJv2WKJpaUD6/B+aFVggoSMuqlnKAgBs+LbMVXa7ffmPgjz69cW+/31q4n+D/JSPcTPIuZ\n+kQO3lhCCNv769+IiMjFGvwB5j6g3V9cvl62VZWWHzObBtfAPAOs4G5IfLRcuc/TgkqiUR49wn8v\nIPQjAvx0as3pXt3SA+r/ipwkGSE3WFWPhPCNQKLY4zGD/IDyXHpCkJRz01Cp+zPwUX74zvhQKXgQ\nLGrX1iorYPdJUZKe0JSyhNcb+kbb2spPeRllwfIjitgRRwM6JhFtUy5PQMKJysNj8csJ16aciogQ\nKeVShOS1GUG4c2IyGVb4H28JEX7mkL2ZOEoPKNPOid8TqMcg6wZCAkTvTcuinjingBBpBYwYTXt4\ncCi2+uWJiAwQWIyYiIf2qY/GUVIBzgDcr5DGelm6c+lJpiLrgDpFdp9C8HDGyhCxEEhHQNIV6abE\nIWmeUJQGbZeR0GMAlczD0cbVEZIxx8qeJy0gk4w0bjqgidFsXMII7T/QNXbg3yj3jO1HlcMbECKm\naMVMc11zAveIEDGZdN4llAacHxWEFREZIbd5gvxA29t91UTMQFIHijDP/DhDe27oXoeYRxmRVcHY\njp5FoyKxZxxaiGTiWZysbK5pwFEOAuJDou06EkTtcKy6JjQJQyEj3qhyGWeWmNFxjONz5mClvCkS\n6W0gdULgu1Rosziz42/XuMfEZc6BUg8k3NrXniPlw4cPHz58+PDxRwn/IuXDhw8fPnz48PHE+Gyp\nvTwNpe05ZQeCJZVGj4Dn1MtHROTh4IjSAaV7lGScEwEwXDmo7lRZuiuCOqnClDF9v4HHXRoaOXhE\nmiEtufzZQeYpqR1PWtZO8GwK5t9IpPgY0GOkZE4iR/YotQ9DLpd1sHia2rYE6QtO2URIQQ2pwe23\ne0d8TUIiSosqIOP9mdp1BHQ6U3pMFZOjs0QiIF6CR9uTlu5TqTOkC4QUY9VHbSTIVCKQ3AHF832t\nQbwus1/a90HKfPHSSNG7zpFHP/xsxQta/k0IuKQJ/Pzo3ql3408//5OIiLwk/8PNxhUgZFRY0KN5\nOkpPDiiXjWhdkgAqDwnG3+9d6mcd2v5GpIVGQPER4fMJCMAR9Ynj4NTW+4pSW2h3EnGWJD7oh8u2\nedB+TLIfIEOr/11zRvZ3x//40dLjGbD4oTfMPEbqd0vE+gaSJTGl78PwcTpUFbjNh86+YwroBPHj\n9FKWldC+Q5UNEGyWhNINWrxQkU+YKo8HscpvkF8c0kKcxdO5pjpaeqiGXxtLkmjZf0xp8RZODSmV\npI+z+vnZ90oUiGgqlDLGS8okoPPU1GtHyvr6W1WiFxEpUTzR0/XHSAdnkfXJCGrwKvUhAY9/HJNS\nhinS8SEpy09ILYYF3Tv0tbAjSkHuUvUhSbeMGJMhxkR3S9IIkRKWiRw9uXlyXVr/O+2dZMJEKcge\n8hikfiEjPh8p3aUOBTHmxHJF/Rbjc7WyY+VIn7GKfiBwxSD6RI5x2pylzLBbSm0O4q53cSeY7L4G\nGAssoaEpUHag6GCKymnhWKVz6Jx6jFMu3tKamZEoACmI7ylSoQGlu1WJn2xql3HK0g3qhdtR+l5V\nzoPZ9tfj855kEqRXUjikCWiuK2O9fitsGHDvHo52rBZzcra2H4exKuBT8UBb4xooVdgwbeRxeETK\nhw8fPnz48OHjifH5EKk8k45WS7rqYgFFXc1f3xiJc0TJfkYrHRU/Y6HHDpIJGfkKRQnenIGSRLTU\nUzdv9mFanNFjdoTHeY62Skoyh2LwW6u+zZ7JFMRKVAWCQ6p+NYigTOI8wP28pDd9XRFNXNaLF+cg\nses5QIohJZSsH/GmPQMtoHpZJdTO7LWmlakkvjkpxDMz/AEHb1r9B7qsCZi8C+SMVtPH+gHHcr9N\nya9qOLm/08BQygwiiWVq5/ls44oN4ti+99MHh9xU7eMS1ozQjBIo1eHuWxERuWnN12sNRKqjlXYH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J6RJyWV+J/j77RksbSopnEqRWkTxqSXU5QMJDQtaoCf0CpQs3G1zXNCYuRsRqvksIx2vNM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\n5xXWJqP41sysdxbu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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd6306e1cd0>"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The first layer filters, `conv1`"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# the parameters are a list of [weights, biases]\n",
-      "filters = net.params['conv1'][0].data\n",
-      "vis_square(filters.transpose(0, 2, 3, 1))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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PE89sQSxDTefTpB6KhIx/zA7HzKygcEb2bKNT2NkY0DFTZbrW9h/VtfQ0LjVDL9XemReHJ0kn0fm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bLlyDAIRAXnI7sQEGcz4S+2m5nAz0wkNPMi6VssInbP7mPye5cPRa2iYHAF1eEwQo0OJQ8b6Aa\nu4+7AWGNLHiS3YAYWskk+Yo8J2KzhGUvkQciOffTXFauJ14s7yY+fBYpSNuVRCjGy8weyxWRnPE6\ndyhwm1lNAkYLuEnIx9OwbyPI+fVsVEMBgZisDojkBbv3iGzeF/m5MEmefh7SBwXAJHm35dWBvGbm\ng60HDsbAQT/sM7sg9wyV4geib6KEEEIIIUaglyghhBBCiBHoJUoIIYQQYgR6iRJCCCGEGMEeJZbn\nywWKc9TpJGKZMzb9eh1ZL4AZGHCGejMrSOx2P0D+LEhieA9SfCIpykaE6Q4E5r4nMigIfxUmxJr5\n1Fgzi6D8lXy6awfKn6n3bccSqFGA7XwQuLX7/TEsQYAtD5EsYiJHNuv5tnY2hhnwxRJuCdIsZe+P\noW1ys7wk8mKXvJyJgnZsfHtWnV/PBcy3w/4eKqDdWaIvkyxRCGcJ8EyODjBggg1EYLcDVuyHiJ8s\nMZ2k9UcQWZlcyweRQN+nbefLeliP3R8sAd7vncm1ZMYAt0zWMy9Qxz4vi0Q+t4lPuO8g5TtVa35/\nA0YGsMEK9HkG7ccGFLD0c+xobL2G3RAsGhur0JR/rOSLaDg49OOeDGSJeJVXjzm6uG334Uuep2QW\nAzawy22bDfpxR0HnLPBrFfjc8NvGz7CLW8LBH35vqSXPkmKAOH8J9E2UEEIIIcQI9BIlhBBCCDEC\nvUQJIYQQQowgJEzR++veIQ33EkIIIYR4ZnKpVyV9EyWEEEIIMQK9RAkhhBBCjEAvUUIIIYQQI9BL\nlBBCCCHECPYkbPPUz/xkttwV+QzfSzIL+GJ+wJV183z2cBZGV5CwTcxOY7OjJzKbd4AQtDvf8U5X\n593v/llXZpaH1hUl2Z9LTzQLEDQX2ezTEEJG1TcSVNZ1eaAamyn8tlv+e1d2yy23ZctF5deL5FyW\nTd6eBzaOuzpf+erXXNn11x3Jljef8AGAW5sLVza/PL9WDUl0PHXHna7sttveli2zGb8jmVkex0vg\nbOJmZiUNYszbryXBmhi6evHAYH/J99c77jzlym75lf86W8bgyYs7ZAcKs7+zcE8SJmoYTEq2TbqL\nu0c7EvZ353vz6/fWW273h0T6fg9Bfj05gJ6F5kJZs0b6+Zrvn2mSn0ygYbT+mfCv//mv+3pCiGcU\n+iZKCCGEEGIEeokSQgghhBiBXqKEEEIIIUaglyghhBBCiBHsiVhuO5v5cgXi5dSL5XEyc2U9zjad\nyKzjnZeOrc+FUDZ7eOj8tno63XxO05IZsEHa7lsiJpPX2RKuTiQzr6OQ2vd+Q03yl7npYJbsftgs\n1rHM22C+5q/Lw1/zgvhzr31Otnz2oU1XpyqXruz4scPZ8hf/8EuuztHn7HNls438fBZnSdsREhjN\nHc56bmY9EYNxFvdIBjS0RLzuU75eTSRr5pUH2H7JhxQ4cObzggjwfSTnjH9vEeGeFBkOdQhoxF9i\nPfSsC7IeUrb+XIrGl7nLV/h7pp35NtgBCb9nsy8wtx7E9UieIx0R4IUQz3z0TZQQQgghxAj0EiWE\nEEIIMQK9RAkhhBBCjGBPnKi03M2XqzxsMxH/yaqpK+rg8EPvhZJI/JUCPI1E/BUWljjkjbMnbhGG\nTzJ1pCBbL/rc42EhnXiYiYVDEgejAE+r64c5GdU0D088+8TTrs6+wxu+bH4wW/7Mlz7t6rzyn1zn\nyh5/aDtbPn3mnKvzgz/2PFd23xcfyJZTmrs6jCFmUSACW8L2i8R/6vztttvl7bls2TVmfRh2R0JP\nGXg79MxtIsGPbgbzgiaHOgpw9FJHwllJAGdwt/JqJyoufPvON/3+pgsIqK18G2wf8Me0nMB6/iCt\nJYfZgnNVsWDdYUqbEOIZhr6JEkIIIYQYgV6ihBBCCCFGoJcoIYQQQogR6CVKCCGEEGIEexO2OQNJ\nfAZieeUDK3ui/MaAQX7EbE1kNnYQrWPBEvKIcOtrkW1Xrix0KLL79UjGohVweXqSuogieUrkvbgn\nlxkE+NT542bsbO5ky5OZb7sjVx5xZZ+/9yvZ8mVX+kDVq6866sr+7cf+Y7b8ov/8ua5Oij5I8/TX\n8jDP57zgsKvDSCBV02tOChOEJXatvw5btW+rczuwHhmYMF/zvWMNQkFLEpDJgeMi++vJPWNptSCe\nkr9vE4TPVq3vZ6n22wrQnti+jHLX73/jrK936Hzedv2UBYf6e2ZrDvfaAd92LRmkgrB7nVr5Qohn\nPPomSgghhBBiBHqJEkIIIYQYgV6ihBBCCCFGoJcoIYQQQogR7IlY3m3sy5fnuWTcBn9YLjHZzEIC\noTi1vk7vhU2XWE6EbfZ2STbl6xCxO3S5gBp6lnjtyxoQ3vvOi6yhWC2WdyQpu21BWh/4Pj2b5OtN\n52uuzqMPPkWOM19+wYue7er8yWf/wpVV83wQwrV/5ypX5w8/5dPPjx87ni0XxbBI6BBAYCY+M1Yx\nM+vg+jVE5t9a+rLz27lmPCm9drxOwtax3pyl2RNcP2N9kfSFhI8KNoCiJTMNgFieFn69uGSmfl4W\n42qxPBJBfW3h19vYyp8TaeHbbnvu16vqvA2Kxj9vqoYMZIFk80hHJqxOZBdCPPPQN1FCCCGEECPQ\nS5QQQgghxAj0EiWEEEIIMYK9caLWDmTL/RTCNpmH0vtAxYgVOxJjR0IzE4YJRhI42JNtxdXvnO6Y\nzJwQRA7JutZfCtxWQ5wvgxnhqTnCdBkIWQxh2Pt0KPP1LpzbIbV8e1559cFs+fGHHnd1lsSXef4N\nz8mWH37ga/6YuqkrO3JFHq555onT5Dg9Pbo4JOS1I34e9paatHlPLsQcgh73+QxSO7Dhr/usyPc4\nrQaGNYLLxPwn3odgvda3uS1IH17mTlSs/Xrlrj/2COIZuT0ciclqgQWHgkdItsXaADdV1r7OZEmc\nRLzXSDCqojaF+PZE30QJIYQQQoxAL1FCCCGEECPQS5QQQgghxAj0EiWEEEIIMYI9Ecv7KpdL+yJf\nDkTqLjoiY4IMzYI1A5GAUfQONFHRy9GJK7dwUGxG+vwYWvMCdUvCGXuUVAPRT+GQiuAl5DKSEFJQ\nWcOAMEMzs7bNzwVFbDOzQ4e9Hf30E0/mx1T5Njhy7Igre+ThR7Plo3OfPHno8oOu7Ny5zXx/cVhX\nT3g+RFZmAwN6uBAFyU6cT/312z/L+/rG3NdZm/jrV0BfSGwgBCF1eZ9i4ayW/LWxPg/SZMGasZu4\nsrDMt1Us/P6mjd9fSnh+q8NS+4lvg8W6L4OsTatLv+0dnyFrBkI4uSzWLX1ZAX2IBdtGcgxCiGc+\n+iZKCCGEEGIEeokSQgghhBiBXqKEEEIIIUaglyghhBBCiBHsiViOCeGo0rpEcTOLRCyNEVKUiXgd\nAhM2QUgnad19IhL3APezI5JsH3Lhtu69ddx0TDYH4Z7573DOMfq2q6K3XcsyT4APLA2dkh9ENfXH\nvdz1KeYo728c3O/qnDnzhCvbdyg3fCO5Vjubfn8bB3PxOQ1Imzcz6zq4yGS1QPoGitCRJGXPKt+B\nZiD9zwu/7Qnp1zjOYtkNGxgQcFBDN1Qshz7bEXO+8cdQwHHFJTnOmtzb0Nljsfr61Wu+nbb2+223\n0/zaNJXf9oJsqwNxHe89M7OSDGTp4dZiz5uOPW+EEM949E2UEEIIIcQI9BIlhBBCCDECvUQJIYQQ\nQoxgb8I2McgSfRLiP/FATAjkYz4CCb+MBQRGkjnU+czuq72TvvOz1PdwPok4J6klLhX6Kz1xTty5\neLepJUGaCVyVshz2Pu0VM+/+sEzQqsq9sN3dha8z8Z5NNcuPa+vCrqsznftkRNDurN4ZFkZZQltF\n4tSxXNIS9hdIDyrJtkroe6QJqAzXQUhmx0JlCRH7EPHzAvnbqgN3KjbkHu1IX0iwfRSEzGhArWF7\nklBXd4xTv//dA35/C+j7dUH6RrXaiWIWU2Bhu7D5yNxNZW0K8W2JvokSQgghhBiBXqKEEEIIIUag\nlyghhBBCiBHoJUoIIYQQYgR7IpajQ4k5cz0xNmP05qWb2Z3ImZFZwDDjfUIL2cyMirqr3zlZaKY7\nQRZmiBK5mQUINGRhmwlSF2NBpHUi6mMjd+3QsMZvvGxmlkiYYNPl4Z7rlZfBm6UXfBe7+XqzmRf3\nmyUJVKzrbLksB3Z1kH4D0YeZbI5mMAsFDUTCx07bkOvQEam6xWvK+jkDD531DXLOPkTSn0tB7tEQ\n8qDXNHFVrCfn5wY6kG07SNBsM2tcWQL5uy/8/d8z2bzEvsHCRclABCjqC79eTwaNCCGe+eibKCGE\nEEKIEeglSgghhBBiBHqJEkIIIYQYgV6ihBBCCCFGsCdiOcqtOEF7oBKpFy8DmNY9qZOIpR4DCtu+\nGRKTZAekJi9rLz4XICu3nd9f25NjgLTnRNsgP052jExy7uD9mZ0vI8H2WTJ31/mU6Mlafn5168Xd\nZesl4H378/bsGr9eS0Kwp1OQhwcmeqN/XjGxnJwzNnFBkuMjOQYU1xP5u6bH1G8zCyCSJxYTT8BB\nBmzgBSZsX1wPBmOQ3fVMuK9g+6QvpoIMDEh5+7FQc4SJ+2y9BNJ4x27rgs1iAG3Xk/2xQTErls3M\nuoH3nxDimYW+iRJCCCGEGIFeooQQQgghRqCXKCGEEEKIEYSUBsoi36odssRIIYQQQohnKJd6VdI3\nUUIIIYQQI9BLlBBCCCHECPQSJYQQQggxAr1ECSGEEEKM4G/8JeoVr3jF3/QuhRBCCCFG8Y3eW/7G\nR+cJIYQQQnwnoJ/zhBBCCCFGoJcoIYQQQogR7MlL1Cc/+Um79tpr7fnPf769733v24tD+I7noYce\nsle+8pV2/fXX2wtf+EL7tV/7NTMzO3v2rJ08edJOnDhhN954o507d26Pj/Q7j67r7MUvfrH96I/+\nqNn/1969vLSxhmEAfyx1JYK0aLSOgogmjpdq8QIuG4IgGq26UEFBxY0U2tK/oUmKC3XhShBEoXFb\nSg0agiB4gZIWxQQUSSAadaFmoUhj9T2LAzl4ij2Qk5lA8vx235dZPDwhkzcXZsDOtRaJRNDT04OK\nigqoqoqtrS12rjG73Y7KykpUV1ejv78fP3/+ZOcJNjw8DIPBgOrq6tjenzq22+0oKyuDyWTC8vJy\nMiKnJd2HqNvbW7x+/Roulws+nw+fPn2C3+/XO0bKy8zMxMTEBHZ3d7G5uYnp6Wn4/X44HA5YLBbs\n7e3BbDbD4XAkO2rKmZqagqqqsavzs3NtvXnzBq2trfD7/dje3obJZGLnGgoGg5iZmYHX68XOzg5u\nb2/hdDrZeYINDQ3B5XLd23uoY5/Ph8XFRfh8PrhcLoyNjeHu7i4ZsdOP6Gx9fV1aWlpia7vdLna7\nXe8Yaaejo0NWVlbEaDTKycmJiIgcHx+L0WhMcrLUEgqFxGw2i8fjkba2NhERdq6hSCQiJSUlv+2z\nc+2cnZ1JeXm5nJ+fy83NjbS1tcny8jI710AgEJCqqqrY+qGObTabOByO2HEtLS2ysbGhb9g0pfs3\nUUdHRygqKoqtFUXB0dGR3jHSSjAYxPfv39HU1ITT01MYDAYAgMFgwOnpaZLTpZZ3795hfHwcjx79\n89Ji59oJBALIzc3F0NAQXrx4gdHRUVxdXbFzDT158gTv379HcXExnj17hpycHFgsFnaug4c6DofD\nUBQldhzfV/Wj+xDFGxDr6/LyEt3d3ZiamkJ2dva9xzIyMvh8JNCXL1+Ql5eHurq6B29Wyc4T69ev\nX/B6vRgbG4PX60VWVtZvPyOx88Q6ODjA5OQkgsEgwuEwLi8vsbCwcO8Ydq69/+qY/etD9yGqsLAQ\noVAotg6FQvcmaEqcm5sbdHd3Y2BgAJ2dnQD+/vRycnICADg+PkZeXl4yI6aU9fV1fP78GSUlJejr\n64PH48HAwAA715CiKFAUBQ0NDQCAnp4eeL1e5Ofns3ONfPv2Dc3NzXj69CkeP36Mrq4ubGxssHMd\nPHQu+ff76uHhIQoLC5OSMd3oPkTV19djf38fwWAQ0WgUi4uLsFqtesdIeSKCkZERqKqKt2/fxvat\nVivm5uYAAHNzc7Hhiv4/m82GUCiEQCAAp9OJly9fYn5+np1rKD8/H0VFRdjb2wMAuN1uVFZWor29\nnZ1rxGQyYXNzE9fX1xARuN1uqKrKznXw0LnEarXC6XQiGo0iEAhgf38fjY2NyYyaPpLxR6yvX79K\neXm5lJaWis1mS0aElLe2tiYZGRny/Plzqa2tldraWllaWpKzszMxm81SVlYmFotFLi4ukh01Ja2u\nrkp7e7uICDvX2I8fP6S+vl5qamrk1atXEolE2LnGPn78KKqqSlVVlQwODko0GmXnCdbb2ysFBQWS\nmZkpiqLI7OzsHzv+8OGDlJaWitFoFJfLlcTk6YW3fSEiIiKKA69YTkRERBQHDlFEREREceAQRURE\nRBQHDlFEREREceAQRURERBQHDlFEREREceAQRURERBQHDlFEREREcfgLd2vbS3y+X88AAAAASUVO\nRK5CYII=\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd63064b6d0>"
-       ]
-      }
-     ],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The first layer output, `conv1` (rectified responses of the filters above, first 36 only)"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['conv1'].data[0, :36]\n",
-      "vis_square(feat, padval=1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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kE6nIw70KItristms2YoOpgSpqZhCsFvW62WPg9sBU7MjEwmo30ERsrKK5fP5z2z0cjIiMlIueZ5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2rG7u9voo1wsOIVUCCJ2Eos5bqHOmIv4XvA8ZOJ4SW7JhYWFMCa89qpGqqKioqKioqLijHCu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WVAWRWLpe9rOgsD5FuzTROf4E2wCo+d+5cot8DvltcXNQ57K4raKNIRz8x1kinwI7CsLgv\nXryobQGDWKvVdB254YYbRMR2Dk+lUqabBe6TxJQwMO6WH1A2m9V5bWXCZt8xi9lMckrH+BYKBTOt\nDcbdkjP6xnMU16XTaU/vOGEoaqlaFQ54LjKz48q5XC7L9PS0iNjsCbPqbjqNy5cvq9zQx1qt5rW5\nVCp5jtH1el11bHV11fPn6eVjDP2FnC0nbfbDZEbc+g3WfHwGx2v+bbvdNqPw8Qwwa9lsNvYeFum8\nv7E+Id1PvV7X9SEpSTSn7sG7htftftMCcZCK69Paz+nMtm2k0Fg3+7OIP5k2NjZi0RzuPXjBcBWL\nnW/xwrhw4UKsZAo/S6S7ELz88svaLkwkzmCMRWxycjK2gQI4J4YLznPllhJhhUQ7R0ZGvEiz9fX1\n2IIi0hl8dvYFeGJA5pzfysq7hSMVpqbdBXZkZMRTNL4G/+ZFkDPvuhvGer2u48lHE7xpSYLlZNgP\nRWsVsrSO//j+3Ca3gLZIdwHixcal4HuVNeAC0HgW7gN5W1R2r74mHbVCryqVih5Xcx4rPg7C9W60\nEGdPdqNeXLhH2QzeoLvoVcibZWoVqcUREb/Q3Ptz5CUwMDBgZld3c1mJdDcN+Cyfz3sRiHz8gQ3a\nxMSE3tsKrgBqtZq5eeGM2P0Ac5mrAuAeQ0NDOu5WVCteckNDQ6a+A1bAC9bttbU1fZ41l1gn3Gjn\ngYEBM/t/Ui4wbIosfXrvvff02BqbKmtDevfdd2s29CTUajV9d2B8r169qrJGH60Nx/r6upcF/urV\nqzr3SqWSN196OY67R+zW3LR0zJqvVukk7osVtYl1IpPJeJnDG42Gt4avrKx4hgNvCJOiEPnYku/L\n0a64B9oA3eX2WdUn3tfM5gEBAQEBAQEBATa2jZGCBYDQYHaqc3eszMZYIeQMDrMV6ew6saNkx0k3\nvFyku3u1QnCtwqKwEKzMtePj47qTx7P4SAR/BwYGdBfMfXOtMW4nLBfePbO1gn6wtcq/h8WCfvZy\nVLSse9cqKhQKXugutwv95IzGjKRss2wJWfSqyypafUmn095nfCRqUdlu29xnWg7t1lGIa8lls9nY\nsaxIxzp19XhjY0P7tFlWXZcZKBaLseNKPIMZS7TXZfkWFxe1mC73F/3gwIzrBebl8vJy378HK8dH\ns1aaBB5/OA9bwBpi6bXFSDUaDT0OtNgwyJ5zt2HdaTab2mcOmnHn3sTEhM5nZrVc1sJ6Poem95sT\nDLpWq9US84yBCYmiyGsLOyUDe/bs0bWB1wOr7pvFcLjh9CI+O5TP501mFXMJ7Fe1Wk1MK8Cywv0s\ndhQO6//xH/8RqzDRC8ViUXWMj5vcNrCDNDO67nXMalr95pMEzju4WUZzwD1y5DxsWBN66ZMVbNCv\nc7abmZ/XP06d0O864a6f/M7nvYTLjm3GmPeT9kB/0/eVAQEBAQEBAQEBMWxr+oOxsbFE5z1YGtVq\n1bOoC4WCxxjceOON6hwOWD41bH2yMx8csmH9NZtNM5mmlR3WdcyOoshjUay2tFotPeNnJsy1xorF\not4P13ECOK6yDauXLRx+tuVQ6lqYqVTKPINP8lFip3PXz82qD8ZWjZWJfjMLB/dMSqppoVgselYx\n18uD/CwrtVgsahvZJ8CyXlz/kEaj4TES+D0jiiK1mtlvAuMBOa+srHg6xvf6SbIXA5aFOzg4qOPL\nNQbxPKtyPPvcoE9uHTaRuH+kJX83pQQzPyL91cWyfN9arZbWOoQfUb1e1zFGYkdm7KBDExMTytpw\nslTIAz6J6+vrusbgunPnzqmesB+Ji5GRES8JLvcV/oybVU9gHzQ3GSWnh8G6uLGx4TFSnAgYmJ2d\njdUXFenoAfrJjBT6i7bUajXvGRMTE9pf/HZ8fNzTxdXVVX2HWCHzFjDOzWZTn8GyhP4msVC9HL2x\njvFv3WzxrVZL5QI5Dw8P64kJz4GkkP0oijxd6bXOWswgZLlZqTZ3rDlIyPWLEoknCcWYcLJb18nd\nOoXYjA3iUx7IHPfpJTP3nuxYzuzX9TBRwLZupPiFi4Go1WpmTilQzTgeajabniJbOTfq9bo6AELp\nlpeXVeF404ZFiAtiuhsk66U5PDzsLRjtdjtxEqDfXOzVou+x6Fh5lrCJEukuDu+++675XJ5wmAT8\nmSvLXC7nvaTdkgW4DkiiYjd7qXOmdzdDsgUuo8NtwaLA9Kz7ck2KiBOxIzTdY19GFEWmzLGBYuda\nyJz1ynr5o424R6FQ0Bctv1DdiMnr2Tyxw6ZIvNwCl1hwF1rOhO861Lv/xvd40V+6dKmn07hId3NV\nqVR0bvKxBufkwrN4k8Y5pwCrSKqLKIq86N61tTW9N+YcA2NerVbVuRht5jI6HO3GhptIPEIXY229\n2HrNLc583wvu8Sf3WaRrxLAc2XGbHafx15IH+muVhwLYeEvKlM7AGnjmzJnEe/d7FIS+tVotL5Bi\neHg4Vi+2F6z1Z2VlxRwHvE/QPtZnGGVsQELe7E6yY8eOvpyeuU0cxebmfWLHfWBgYEDXJXbgtnTH\nLTnDecT4vknBIxaSjtWsgCB2Xkcfx8fHtc3svuIeZW8WuOSuj4nt3vSKgICAgICAgIAAE9vKSKXT\naWWfYO1MTk6aDoLurnhjY8Oroce0NpxEr1y54oUN5/N53dFa+XTYMnN30hYFPDY25jkDMnPFzr9u\nugV2CGeWAv+GLNhRnXfmYNv4SBNt5PBsBvrEx2mupddsNvsq7NsrxwY+5wzUgGVZwHLI5XKmVec6\nVTKDADAF7RY8ZVjWEWeTZ+vYzRxtOZin0+lEJshiq9CGqakptcyT5M1h48xg4jdsPeF7yJELXkPO\nVj6sVqsVc4IX2Zzh4r5ZbAG+Bwvw0Y9+VNsAx3DL+uQ0JxaY/bB0i2sy4v6QB+fuApaWlsys/m71\nBAaYkoWFBdVzrDvnz5+PORLjenducj68XkfJvZ4v0l0Xk9IgPPTQQ/LVr37V+xz3xPrIQRjMGros\nZbPZ9MaM69sBfDwHFAoFz3UjiqJYjiWReE0+Xtcx1mD28vm8mRbCXS9EujJHP3K5nH4G9wrUmmSk\n02nt72aOyBazduedd4qIyHPPPRe7J/9tNpvq3A4mqlKp6DyYn583M9+jL6xPVg4lFyxzzgxuzXfc\nm3NHJaVR6Bc8DphzSewX1810Hce5H5sdbwMc/MM1Zq1AtM0QGKmAgICAgICAgC1iWxNyjo+Pe34w\nVl2i22+/XZ08Ofkadqe8A4UFZzmxJ9Xzi6KoLwZGpHvmDb8kzqIMq5f7BUvCCmFlK4CZEteZt9Fo\nmNnJcU9mY9gRzwJ27nv37hWRTvoGi5EC2NpxP+O2gB1bXV31wrHZouaM9W7StV5WgMswbWxsxDJ8\nc9vd690UC0nV3fk6K0twsVhUqxlttULnGRj/sbEx1Qv8lv36GJAvWNKrV696rESlUlFdxpizn1iS\njx7XeORUHFYINr7vt8I82KB2ux0LtxcR+f73v6/Xs1O62+9UKuUxh/v371fmGu10xxIW/OHDh0Wk\nM9exFuB5KysrXiDA+vq6ri08d10nXfbnwWccls8O3GBccD07KEMe7LthAc/PZDKeLjabTe2Tm8CV\nceXKFfnUpz4lIiJPPPGE9z2309WZm266KVZLFLCybLuIokjvDdnyunzo0CERETl9+rTeD/1IpVJe\nWwqFgsoXa/Xq6qrKjxlAl1nJ5/PeOtxut3Ws+b3Dfq78F/cR6Z0cFvMalS5efvllrWWJ98/4+Lhe\nBxYyk8l46/Xi4qKu0RcvXjSz3SeF8qO/HKjEfXfX2oGBATPx8Wa+RICVAd1NL8OfWW3n9AcW65XE\nskE3crmc14/19XWPVeSam70SI4v05yO1bRupVqtlbppGR0dVST/2sY+JiMgzzzyj37MTJC9QInbO\nExHxonFE/CObqampni81F9gkYAPFR1Fu9m4RO8cQUCgUvM3kwYMHvdxUmUzGe1nfcMMNGulhTXZr\n49NoNGIFbkU68rOOu3hjhN8CVlFY7udmC45IR1bucSpvDhhWhAxk7ZYr4M82A57PeoXJbEVs7t69\nO+bkj7YA1lhbDqVANptVB2n8XVxc1A0D2jU6OqovFi4LYzkvW4VM8RnGKpVKeZsmi6a3sk/z8SF/\nb0XhAFa5oSNHjmjbkdUbOlYsFtXpFu3ENSLxiEgrgz+Oum+99VZ9eXPBaBQZ5iNEXMcvUuglDLSp\nqSm9Nwy4AwcOaAZ09G9lZUXXHW4b5hy/xJI2vHxEBd3qVfxcxHYsf/bZZ+WP/uiPRKSb6ZsdqtGW\nvXv3ekeqCwsLXtFnbhewtLTkRR9fvXpV9cQybIHh4WHtE7/QOHIQ7YROsNGLzQYi5fiIko943QLk\nHH0GcOkURr8Rga4Rc/z4cS14zdHWMEDR36GhIZURlzzjQvbuyz6bzapO8AYEbUhadwqFgr4zIPte\nOajcjSpHhrOLzPUWBQbYYN3MKd0tVM/vPY7aS8oLaDnFA3yM209BaP3dplcEBAQEBAQEBASYSEX9\nbLfe74f+/50e1w8CM1CtVpWSZKbm4x//uIh02amRkRHdAVu7WNyjXq971CRn2YaD3+zsrBYNhbVm\nFWfFs/m5g4ODPXf9Il2ryGLgJicnvdB1PgJwGQeRrmUwPT3tWXqFQiGWR4prIQHIJg+riC04foZL\ncbdaLS/fUyqV0s+Yqk06PsN1rVZL8/OAgePafZCBZSVajBSrclKYNKdxYOuP+45+u8zl4cOH5Y03\n3ujZN86RYh05us6qVt03ke5RCMad9csdF5EO8yLSkSPnWhOJ09oMK3+Vi3Q67dVhtK7L5/M6rlZu\nFsDKcD86Oqrt4z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3sKpjToaEh7Rt0a3V1VZ/Hmd+xpkBPrOCafrCtGylr4Hgh5QXw6NGj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\n8lJsiPg+dMyicuh8ku+UxXQm+WFt1ieM1+Liop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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd621d91150>"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The second layer filters, `conv2`\n",
-      "\n",
-      "There are 256 filters, each of which has dimension 5 x 5 x 48. We show only the first 48 filters, with each channel shown separately, so that each filter is a row."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "filters = net.params['conv2'][0].data\n",
-      "vis_square(filters[:48].reshape(48**2, 5, 5))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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9IUWO80nxJYu+/20vzuvmqNWAfPO3EFL6ws5BltgaNfyy/LKGnOdQ8BnrH9o3PTtiEPGRv98b9eu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\nIqIb+upwfU7EnNLtAIqW6LIF1113XURErFy5cqB9WVKCPjkZ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ZKQZJz5O0GJDBPnNAAAg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STO8ZabZ8lcSaasEQBLDH2JQKbb755JwISfpiHtMs0T1uwGBNaIzRgRSjH6lxk9o0yLdDqWmuZ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\n1k/7BsAeRj8v6JfrgWVZePb8OqPQWYG7du0ayyKM6H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73u8f0RTwKcRv0/dZbb+3kdrwB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\nILe9RLZ22Qf5ncfQXkDaQ4bWi8yaAngBaYP54HkAXE3aFfCzKv5tPB9rJK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ne1BJZ7Z7F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itMop1afSDmp+7SbcQpx4m6zlIAtTCwje7cyziWsA07qnOKHYoEiXrAunCGXeVD8fpl7Z4zh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\ni8T/A2aklexSCttuAAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd630658d90>"
-       ]
-      }
-     ],
-     "prompt_number": 10
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here we visualize filters and outputs using the network architecture proposed by Krizhevsky et al. for ImageNet and implemented in `caffe`.\n",
+    "\n",
+    "(This page follows DeCAF visualizations originally by Yangqing Jia.)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "First, import required modules, set plotting parameters, and run `./scripts/download_model_binary.py models/bvlc_reference_caffenet` to get the pretrained CaffeNet model if it hasn't already been fetched."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe\n",
+    "\n",
+    "plt.rcParams['figure.figsize'] = (10, 10)\n",
+    "plt.rcParams['image.interpolation'] = 'nearest'\n",
+    "plt.rcParams['image.cmap'] = 'gray'\n",
+    "\n",
+    "import os\n",
+    "if not os.path.isfile(caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'):\n",
+    "    print(\"Downloading pre-trained CaffeNet model...\")\n",
+    "    !../scripts/download_model_binary.py ../models/bvlc_reference_caffenet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set Caffe to CPU mode, load the net in the test phase for inference, and configure input preprocessing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "caffe.set_mode_cpu()\n",
+    "net = caffe.Net(caffe_root + 'models/bvlc_reference_caffenet/deploy.prototxt',\n",
+    "                caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel',\n",
+    "                caffe.TEST)\n",
+    "\n",
+    "# input preprocessing: 'data' is the name of the input blob == net.inputs[0]\n",
+    "transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape})\n",
+    "transformer.set_transpose('data', (2,0,1))\n",
+    "transformer.set_mean('data', np.load(caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1)) # mean pixel\n",
+    "transformer.set_raw_scale('data', 255)  # the reference model operates on images in [0,255] range instead of [0,1]\n",
+    "transformer.set_channel_swap('data', (2,1,0))  # the reference model has channels in BGR order instead of RGB"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Classify the image by reshaping the net for the single input then doing the forward pass."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The second layer output, `conv2` (rectified, only the first 36 of 256 channels)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Predicted class is #281.\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "net.blobs['data'].reshape(1,3,227,227)\n",
+    "net.blobs['data'].data[...] = transformer.preprocess('data', caffe.io.load_image(caffe_root + 'examples/images/cat.jpg'))\n",
+    "out = net.forward()\n",
+    "print(\"Predicted class is #{}.\".format(out['prob'].argmax()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The layer features and their shapes (1 is the batch size, corresponding to the single input image in this example)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['conv2'].data[0, :36]\n",
-      "vis_square(feat, padval=1)"
-     ],
-     "language": "python",
+     "data": {
+      "text/plain": [
+       "[('data', (1, 3, 227, 227)),\n",
+       " ('conv1', (1, 96, 55, 55)),\n",
+       " ('pool1', (1, 96, 27, 27)),\n",
+       " ('norm1', (1, 96, 27, 27)),\n",
+       " ('conv2', (1, 256, 27, 27)),\n",
+       " ('pool2', (1, 256, 13, 13)),\n",
+       " ('norm2', (1, 256, 13, 13)),\n",
+       " ('conv3', (1, 384, 13, 13)),\n",
+       " ('conv4', (1, 384, 13, 13)),\n",
+       " ('conv5', (1, 256, 13, 13)),\n",
+       " ('pool5', (1, 256, 6, 6)),\n",
+       " ('fc6', (1, 4096)),\n",
+       " ('fc7', (1, 4096)),\n",
+       " ('fc8', (1, 1000)),\n",
+       " ('prob', (1, 1000))]"
+      ]
+     },
+     "execution_count": 4,
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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SuZBSysAvgkTJrj44sWLqd6jk/OahTXn6zYWLlwYeU2rRmu6rL29PbLeq6++6uJDhw4Nux//99rc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\nTjSMcvnXuFZobhQLFy508YsvvljikSBv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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd621d73990>"
-       ]
-      }
-     ],
-     "prompt_number": 11
-    },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[(k, v.data.shape) for k, v in net.blobs.items()]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The parameters and their shapes. The parameters are `net.params['name'][0]` while biases are `net.params['name'][1]`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "text/plain": [
+       "[('conv1', (96, 3, 11, 11)),\n",
+       " ('conv2', (256, 48, 5, 5)),\n",
+       " ('conv3', (384, 256, 3, 3)),\n",
+       " ('conv4', (384, 192, 3, 3)),\n",
+       " ('conv5', (256, 192, 3, 3)),\n",
+       " ('fc6', (4096, 9216)),\n",
+       " ('fc7', (4096, 4096)),\n",
+       " ('fc8', (1000, 4096))]"
+      ]
+     },
+     "execution_count": 5,
      "metadata": {},
-     "source": [
-      "The third layer output, `conv3` (rectified, all 384 channels)"
-     ]
-    },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[(k, v[0].data.shape) for k, v in net.params.items()]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Helper functions for visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# take an array of shape (n, height, width) or (n, height, width, channels)\n",
+    "# and visualize each (height, width) thing in a grid of size approx. sqrt(n) by sqrt(n)\n",
+    "def vis_square(data, padsize=1, padval=0):\n",
+    "    data -= data.min()\n",
+    "    data /= data.max()\n",
+    "    \n",
+    "    # force the number of filters to be square\n",
+    "    n = int(np.ceil(np.sqrt(data.shape[0])))\n",
+    "    padding = ((0, n ** 2 - data.shape[0]), (0, padsize), (0, padsize)) + ((0, 0),) * (data.ndim - 3)\n",
+    "    data = np.pad(data, padding, mode='constant', constant_values=(padval, padval))\n",
+    "    \n",
+    "    # tile the filters into an image\n",
+    "    data = data.reshape((n, n) + data.shape[1:]).transpose((0, 2, 1, 3) + tuple(range(4, data.ndim + 1)))\n",
+    "    data = data.reshape((n * data.shape[1], n * data.shape[3]) + data.shape[4:])\n",
+    "    \n",
+    "    plt.imshow(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The input image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['conv3'].data[0]\n",
-      "vis_square(feat, padval=0.5)"
-     ],
-     "language": "python",
+     "data": {
+      "image/png": [
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+       "AABJRU5ErkJggg==\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd6306e1cd0>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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++oBKuyoI7DnG6POkec+WKymeN9jDGirKHE81xm3v7CvTg1LbQRziVSkkiRJkiRJOrJDKFLOM57x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pO7JiPB66DOYrriTKNmas8tox+53tcd6S48WzleIxXroefvvtEKds1Gn9OKlJJkiRJkiQ9maoi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\nz+/0OfWdSj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Q//bdY+9C2kopUkiRJkiRJT5akIoVXt3z5cknz97rDS+tbFRcFh/fzvF9H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\n48XaZx4wF6PCwRrnOo+sAzkTXDd7EgJEjBKkXfgu0Y9x7QLfT+2pMY8V44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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd63064ffd0>"
-       ]
-      }
-     ],
-     "prompt_number": 12
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(transformer.deprocess('data', net.blobs['data'].data[0]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first layer filters, `conv1`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
+       "iVBORw0KGgoAAAANSUhEUgAAAlEAAAJNCAYAAAARaCA+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n",
+       "AAALEgAACxIB0t1+/AAAIABJREFUeJzsvXmQZVd95/m77737ttyXysyqytpUpdIuVkFjNrEIjKch\n",
+       "mMF2e6Lb45ihZ9x7G7dBEkJGgJBEY+PGbUfHTAf2KOwxmIhxNNhWu23RIDAGyVjCgCRUWmpfsir3\n",
+       "fPu79775Q27s8/t+K/L1RXbi8fcTURF1fnHufeee7Z1893u+JxoMBgMTQgghhBD/XRR2ugBCCCGE\n",
+       "EH8b0SJKCCGEECIHWkQJIYQQQuRAiyghhBBCiBxoESWEEEIIkQMtooQQQgghcvCCL6L+4A/+wK6+\n",
+       "+mq78sor7WMf+9gLfXshhBBCiB8IohfSJypNU7vqqqvswQcftL1799pNN91kn/70p+2aa655oT5C\n",
+       "CCGEEOIHghf0l6hHHnnEjhw5YgcPHrQ4ju0nfuIn7HOf+9wL+RFCCCGEED8QlF7Im509e9b27dv3\n",
+       "vfTi4qI9/PDDQZ59+/fbmdOnX8iPFUIIIYT4a+NyL+1e0EVUFEXb5jlz+rS997b3m5nZV7/yZXv1\n",
+       "a19n1XJ4XVzE+xQL+ADFYhjr9vuQp9tNINZph7FuykqKP9JVS2F1/eInfhHy3HbnB/FWruitZgey\n",
+       "NBqbEEuzsJylEtZLpVwOy1itQJ5i4S+f5at//FV79WtebaU4vC4yvPc9d98NsX/+z342SPeTHuRp\n",
+       "tdoQ830jLmH9Fkj/qZbjIF2pYJeN4xhiBX8r0jXv+bcfh9gHP3JXkM4yMnBIbJCGsbT/l53qK3/8\n",
+       "ZXvta15naYp9MUnCWNbHe/f7eF1UCOuPjb1//x/+HcRuv/X2IF2KyRQAlWdWqYT9ZXJqBPJMTI5D\n",
+       "rNvvBumz55Yhz4kT5yG2tdkI0rHr52Zmn77/U0H6Qx/8wPf+/8UvPWRvuPn1lpK28lVVrmD/qVQx\n",
+       "Vq2EY6tYwjxpgp/n27jb7UKeThtjH7zrw0H6bqIxLUZFiJXcmCmR+TSOsT59vUQRmXPJu4te+/k5\n",
+       "4IEH/rP9yI+8zXpdnBMGGfbhn3tf2Bc/Rsbj1uYWxJaXVoJ0o9GEPFOzUxibCvtnrUbmyjLWZ9IL\n",
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+       "RBQHDlFEREREceAQRURERBQHDlFEREREceAQRURERBQHDlFEREREcfgLd2vbS3y+X88AAAAASUVO\n",
+       "RK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd63064b6d0>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The fourth layer output, `conv4` (rectified, all 384 channels)"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# the parameters are a list of [weights, biases]\n",
+    "filters = net.params['conv1'][0].data\n",
+    "vis_square(filters.transpose(0, 2, 3, 1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first layer output, `conv1` (rectified responses of the filters above, first 36 only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['conv4'].data[0]\n",
-      "vis_square(feat, padval=0.5)"
-     ],
-     "language": "python",
+     "data": {
+      "image/png": [
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd621d91150>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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6G3atGmn7eF90Y63h8fOeeE1eY0XPP+LLrpop+0BXo57YShweMucH/93qLvk/U8WFooX3rJnfXn2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ShTg\nzUVP97X7LEUQm8H7dzxkrwkSeXt4CexJhneJJ+0xNRF4H3gneEeTqtRdC2PH9fi+ZniZtfsUOUP3\ne1qsRBkfPp54tSifeEv8nf49+OCDJXX7wl155ZWzjoMd9q2OjSqAIkrMXut40l7sPfKi2XkAL9f3\nZnT1CNVh4+PRx7SVz7iK58dirnNujslPYqCiMURtZk64DaMmEzNDzA3KFZ/nfFEldRQtFDPWoNa9\n+VBsmMNDK31fd911vT7vtkn76U9UyNaK2cwdFLJS/SYHVZfxd6UIJQ/FhLUd+tbEY85HMNexi2nX\nE1uo3Tmie3rpHso8i2A+D31mSEUqSZIkSZKkkUVd2TyC9+7R0/5YMTZ4j7yPrvXIecr1GBDPQqo9\nDvD0P7TS+VjQH94v//iP/yhJ2mqrrSRJX/rSlyTV77f1bMMr4bsqElVxJkZw6I70DjF5ZIahfLFD\nOvun1YLqgTLFddFun6945fQLqgvxQr6v3cbKlceZ1eKZlU5pP0TaGH0OpYI+JZsITxhFir4gVgal\nzM+DkoVC1epR8z2UmoVSGCJoD0oSNoLi1hrTg831VXBcmXTIQOU8jD/9OHZmOnNo2krUYoG1JYpl\nc8jiRP1mDY2+X9pHF1KRSpIkSZIkaWSzVKQgetrHox6Kv4fGKyrVRcKrJMYEr9JjrErgpXI+FDjf\nU60WPHcyWOgn9jarhXgA+oN+4PpQVF73utdJklasWCGpq6USsfXWW0tq967JwCBz6Oqrr246zkJD\nDB5eEeNM1lyUpVmKJaQ/iA+phSxYvHBipogPYa/JBx54oOp4nB9l17NVo32uXKHzelNk0m18ffwP\n2x5brWuFOcJeX4xxFL/G5z0rCqWDNcFVvr748cZaO1thbUGNxzZas8PoR2yPzNCxIAuQGDNX9Fr2\ni5S69lKr7vHHH5dUnvMOazT3oFY76YtnmxLTB2Qik6HP24t//ud/ljRXIYoyiGuVZxTgt771rZK6\nNY74z0iR4rwlUpFKkiRJkiRpZGqK1BZbbBEqSlR3/cu//EtJXVzBZZddJkm67bbbJHVP1zxt4w2M\n9dRN+/AOePpFQYiUArxivEWeamvftzoeW9XqNZKRg+LT6q27YoS3SPv+/d//XVIX20N/8X46ipVC\nAURp6AvKxEEHHSSp6//vf//7TcdbKFAw3ZuttePIW2NcWhU+xgn7Y3zIQKuF757PlOwAACAASURB\nVBE/QjyOe6mAWoPdEA+EPXGdXN/GSq/XOGPODo39Ke1qX1shmjnINUV9AF7XyePFUJJ8DayF8zN3\nPFNyoaEfWSu5flekandLwNZQZ8eue0T/1SoXtTDnbr755kHH2VRm60KAEhfFd3IPO/zwwyV1andU\nAzJ6VqiNFePtEHGeKHul+Re130lFKkmSJEmSpJGpKVLzZTP4flh4qGRI+Pto98KG1oQAvFrOT72f\nyCsFvCm+z3W0ZnCQWUA8xdCsvb7v2Ut4f5ChxM/aGi7EzLR6jR67RUYHdjPtivCRquHKIF5Wrb34\nPmOAt1VbrToCu2Pe9d05gJgo4l1QETy+Z99995XUxfBRAwZFC++QfkSF2Xg+8FnmzFgwpyMPtnZO\n9q1j5EoCihFzirFFEYkqbJfwfRmnTRQHR+Xx2tgYr0PVN5szqqgNzAn2bItie55tlOwPtZsMb1cO\nx4ZnBOI6vd7XUFKRSpIkSZIkaWRRZu2xh9mPf/xjSV2EPe+L8dJaMyJKcFze4+JtepZaBJ62KwF4\ne143qARxFSgOrRWmFwqPF+nrhZcUvwjeg6MgkqmBPU1bkUJBcS/VVQ7iGkpxORDt68ZxvRZRLXiH\nKIWoA56RUwIVoeTVoyBiN6gJrjjTH2PHRM4H11yKqZjUecFVQfqCMWbN4v+om/Q96qVnIrfGJY4N\n14cay1zAFqM9BUtwHLfB0n6SrNWoqV7zjP6P1vbFkjW62CBe0tc2xr815i8CJQr7H5tUpJIkSZIk\nSRpZlIoUist//Md/SJrrmaMY4aWMHQ/h1YZRoPAOS4oQT9N4eyg0PA23xqxsLu/b8YbxcvvurN0a\nA4ZagLfNeJH9NW24Lvf+3Uvue/0lxaq1P+k3FFayZ/sqUqWdBvD2iUFcunSppLLixN8XQqHtq6qO\nhauJrCFeZ4k+QJ2MatahmDAm/F7aa2+hFDkUNcaedrYqCbSbOEl/m1CKCSspSvyfe5Lb4tiVzX9f\nKO1ZOXaF/VKF+qGkIpUkSZIkSdLIolSkHH96dcVoKNHO6ez5hVezfPlySZ2HHsHTNEoMCoTXlaqF\n73Ec9glarPDUj4LRN9uw1etFiULZQLEcquQRc0X7o0rcJfBOI69/UrTuPck4ohL0zXjqe37UFyrc\nM7+pMROxEHtPTmt/S1dEfLd6bIo5U/LkXb1323aPPVLhh8awMCe9Jh5rHYoaqqjHqdbaFJ+LsvZa\nbRr8OlrjO5PfUZrrY7HllltKqt+jr0QqUkmSJEmSJI1sFoqUw/v8sTIiSu/J8fbwimr3zCNegads\n4iz67tyNN0jW2bp16yRJRxxxRK/jAE/jXDc1Wth3aCx42u/rzbd6idQuQUmk36P9zPoed6wYtb5x\nE0P3jWtVbrF7VAsU0do99qC26jfqBnE77PHHPmPR9W9OmVHE+tSq6h4/56omfdY6xk888cSsn762\noUjxd2yC/T7pezI7a0FZ8nhRrsPjS2lfX3WVtfOKK66Q1PXnbrvt1us4EcwJ9lBM+rFs2TJJ3bi2\njnMt3Ov63oNLpCKVJEmSJEnSyGapSLXGqETg/ZQ8ZryZ0tMstU54qsarG/qUTcwPilwrKFJ33323\npPHeE0fnIWZp0hksKE+33HKLpM4bHVrZG6aVgYMS1jc+BGoVVId4Feye+I++yiXtd0XX5xsV9zkv\ndaVKcTjTil9qgba2xhYxlyYVZ+d9ydix5vJ/VN9WuH6vBcheaFwfc3hoLBNV8seGNWHsuNVaFXdz\nZ6gd9WVS2bepSCVJkiRJkjSyKBSpVk8b8GB539rXW6tVGmr358HbIsaDGBe8O+os8V498k6p1P3K\nV75SkrTHHntIiuMRSlV6yaIjvgEvjf5vVfp8/BgPMntcmZo0Q2OiFhqvIA4oMuyvRv8Ss1WaL/T/\nzjvv3NQu4hX8eH3xzLDSfOO8jONC2c1CMDSeixgPFAt+sqbQZ7X1clijItV87Bp9DvFwgGKArQ1V\ngbE9GDv2hrcTffefLEHsFeM4VJGrhf7qu1fjtCjthbhQpCKVJEmSJEnSyJJnplD4YsmSJZqZmVno\n0yZJkiRJkvRmZmYmrBOWilSSJEmSJEkjU4uROvvss8OMBN4PU9U2iuwvvR9F9frkJz8pqYshirLu\nDjroIEnS6tWrJUk333yzJOmuu+6SJO2yyy6SulgPYlqoF3X66afPOu+k4Tx9z0eMFO0vvX8nDuMj\nH/mIJGnt2rWzvkcWIZ+L+pf9rqgVw/t/vs94M/5HHnmkpN/ZilTOYNlqq60kzd0hnhgu4kD4nfMT\np3HSSSdJ6vqTdvl1ErfhMWXEOhHn4fEYxI5xvve9732SpLPOOktSFxdSim/hONEec/QDsYJc7wc/\n+MFZ1zcpmJdnnHGGpC7Lj6w8vDquY/fdd5fU1acic4uaS8QYEoeCfTGfjznmGEm/G1+/tu22205S\nt0Zg8953xB7xd7cNxoZ4tbe85S2S5vZlKdvq4IMPltTVY2KNcZgD2Nqpp54qSfriF78oqYsjo130\nEWuRH4f4SPoBG6UPaTf9QJ9Oey1jTcCWPWaK8WWOekwXNsbcJYbszDPPlNTdG5jL9Ce2xpoRVdzm\nuL4WEN9IzNGxxx67yevDnjhf7b6kvv+s4/0ZxSHvuuuukro12e+1tN/jaH0covFjLaCdPi+wN+6t\nN9xwwybP7xm8xx13nKRu7eS6OF5rdp6PP+095ZRT5v1eKlJJkiRJkiSNTE2Ret7znhdm1/F0jDcY\nPWXWhnfV1hG6/vrrJXXKCU+leHF4M7SHv+PtbS5EikmEV/R2b55+KCkp1KtyBRGFAQXCx6u2loor\nUcDx8OJoP144mUuOe5ml+mGl6s6c1/cXYxxqM60iJQq8H0rZdn1r1pQ+7+NLvbKo/tSdd965yb/j\nnZe89EsvvVSSdPLJJ8/5Hxl/payeyINF6WBsUHiANYLPRX2ydOlSSdLRRx8tSbr88svnbQ/n8+NF\nmbWuRAG29Ytf/GJWOyM1v2RbkwYFwtcmV0AYBxSVH/zgB5s8HmsXCqDvk+r9ieLBvYWMY1ekOK7X\nwQJstlTDjXZFx3FoP0oW7eIeFGXbRWs9ClS09vD24v77769qH6DUcV3Yldsz8y6qzI8iGO33SX/Q\nj6x12Effiv/c26G2AnoqUkmSJEmSJI1MTZGqqfvAUz31k3hP6jFKtU+NpT314Bvf+IYkac2aNbP+\nzlPv8uXLJXV1oGqPu1jo63X65/39PN5MaS+60pjjVY9VMwW1gHZGNXxKdadcdaiFfsI7Qhkba8++\nWsauDN63Fs+kqgnDfF7n0Poy3jeuOnocXQRq7JVXXilJ+uEPf9jrvICHTp9Sa452EaeHYoGSQ804\nvu/txUbdIx8KigTXU3qLQLuYO9Gc5bgPPvjgvMdjbeprB7TX1WPwPQ8jSmsLx+m7V6GvIVEMV4mS\nYtNXiaJd22yzjaROIXrkkUckxWsR8ZMO6jpvifxe62sR9tM67/ke41K75qcilSRJkiRJ0sjUFKk+\nVbSJoSCGhqykWiUKRaGvZ0wGAd4aXgpeBt5Sa7VispXuueeeWcdf7OBluFI1dE87vKPW6sN423hD\nKFy00+MsiF8oeWVcF95pabzxlmkPqsW0qu/2VUyJU/nc5z4nSbrxxhsldd7/NddcM+/3fS/ISe3k\nDltvvfVEj78xHktSe214tldcccW8n4uywMAVEtY0jo9tRhm5tN+VIeZAbUxJ7W4U2HxtHJ6vKfSH\nKxms/aV7QGuZRGJvuOeUsuQivHJ7dJ7atwR8blK7N7Sq74A9YEf019B7A7Ffvi+s2xP90roLg8+7\n2vmdilSSJEmSJEkji2KvvVrwPnjKrX16xptp9Yx5uqa+FApVlElQC/WpyAzxp+3Fimei0A+uuJDx\n4bV5St6XZ0bVwp5yb3jDGyR1tXZuv/12SdItt9wy6/N4M1GmC94w7S21G6+LWD7UAffeFzozqq8X\nTX8Qt7By5UpJXW2hm266SVKsmlDbB0pe+VCGbM6wYsWKWT+JCXnssceqvl+r4DBHiGny46N8uG34\nXCDWBPzzpfaMtZEFx4n2iXSYA31V99b9P6FV5UeBYm1nfPq+1fBsPF8LSvekkmLVN+O2BG97Hn/8\n8abve/wy9zT60dvrylEUQ8Va6v3AvEKJ4vio6rV1uYDxYt65uh6RilSSJEmSJEkjm5UiBcS67LXX\nXpLmVgd2L2CsLDBqbuy9996Sxsu+2lyUKPCnfrwLjx8hdgWlCEXxe9/73rzHr62p4qxbt05Sp6Bw\nHGLQ+kIGE5k5XCfZm4D3QnYp3jr1k2gHCuqkY4bG4sILL5z1+6pVqyTNjTVzGAfw2j1j4+PRB5So\nV7/61ZI6G61VpLwyeLTWlOIpa+M9o+O75zxUySmBYkP9okiR2nPPPSV19bz6KgRObWzWUFD2uK7W\nzFMfB7IpPbYtYqeddpr1+7333itpmM1vCtbMl73sZZI6+6edfddQ1kC/PtRpKtbzuaeeemre46E8\n+XWj/jMPsYvWGCnWapTWUh0wSEUqSZIkSZKkkc1akYqykTxWx5WjVoWKp2EUJI5b8tB/36AfSrVh\n8Grw7mpjg1q9LRQx6oANBa8GRSWyG1QNqizTft7bc93YS5TBMjRjZtJElclLRFW3x6KljhvV7PHE\niQl56KGHeh0HD7hkI7VKimeG1sZgYXN4+rQjWpuiDFQ8/BJcB2sAe6WhPBELhqrLeYYqUtFaM6m1\nuFYpjPDx7ru2kYFM7BKK1Ngwh7zSOfbUF5QnX/N5i0Glf+Joqcl42223bfJ4rI0oRcC8o3+492Nv\npRgzYt+IC0WB4zz8v0QqUkmSJEmSJI1MTZH6oz/6o2LF5Qi8jlrvhqdZGOrxkw3Gcf34v+/U1kOq\n3SvNGfv9f1+8ZkypFgreDu/X8baoJk39pShTBfvB+yvFC/RlaA2XoUx6PFviV1BeUFDw9PvW52Et\nKa0pjDmxTJFK17fWmGdB4YmXlJlI6eob94ltEyeIZ4+Sg7LRGrPiRIpUlLXWt06Tw3iU6ntF1Gal\nRbBH4tVXXy1prp211rcC1iyUQ+YDcaE77rhj03G5TlfZqcCOYkXFcuZjpJT6HpEQjTtrHtfl84Pj\nkWGMHbNWcc+iFmCJVKSSJEmSJEkamZoiNYaXXPv+Gq8AL80j8fvW4KDt0Q7tyTCmHSOEF+XeT5TB\nQe0hMmzIVsQrw14ibxT7nJQdTTtLsFV5rqVlLSEbC8WB2JBJgWdL5iO7Jjie+epgK8wRYk5QEGqV\nF2wUBQ5PvK+6h21Ftdjw7MlWmxSRjQ+1fY8H7RuL1Xp+1h7icX1cUb1Rr1Gk+tZsw/6ffvppSZ0C\nNrTfUNe5DuwKRc/3dsSut99+e0ndbibA/PG1hDWZ47r6jWLHPKF/UKb4vn8Pxbb2bUoqUkmSJEmS\nJI1MTZEqeV411O6YjcLAU6tX5cUrq33PTCVynqpra85EDH3P/fsGmRxjw/twvK9I+cKLwvshnoVM\npAiqTuM94f0sW7ZM0txqvzB0z8bFzqSzWvE2+4ACFXm6Ea1V2hl7drNvhZgf1gpXSkrXwedY+4j3\nhLH3g6R/ae9YlbhRMErXy1xuVblRgojdQamptenWel6MA0qjgyLl49da29DvYdyT+o4TyiPZbvQ7\ndsDxuHeiJqNgUZfMY9u4R/tbAvqJ9jMu3PP5P+OG3bPWEsfq0E7uFSVSkUqSJEmSJGlkqjFSpfew\nY3kvPF17zQieVvFuauMLUNN4+h36PjmVqNm0xlN43Se8uTVr1kiqVxDxIj0bs+RdEiuFt8j7dewY\ne6vNBEnqqInr8awrxhabqVXI/XOMJWtHaS2I6lSxNqF4RZ4wa47vXYZnT90hPG6PI8Wjj5SOvuph\nKWaIv6PosBZHbxNqY5BqFUTWgtbMUdZmzldb6boWYuaiGm3ebsaPWCYnilWD0j2VtwEcp6+ixnFR\n8b2WHlApHXsgvjTajxTlzfeexI7cXiIFks9z3rHeAqQilSRJkiRJ0sjUFKktttii6FXgxeA91So3\n7jVECkTklZWofW/6+wpeQW3V5b60KjbYE14osWy082c/+1nVcbA7aqjgPeGt4WV5zaH99ttPUlfl\nmfageqAOTLquknudXg14odlnn30kxVWLS6BQRvO1JkbKPWs8WBSQVlWYtrWOKbbGHmeomhHU3eF8\neNS0H9UzymhGUYuyFPvWxCvFVHE+fpYUjtYK5Sg1vttC37pgEZPKPHUFE0WS7DXqm/G5M844Q5L0\nn//5n5K6uk+1UAE8+h7nZxx8D8cSrLWlewPj45XDS/bkx22NOfQagUNJRSpJkiRJkqSRqSlSNR4H\nniZPjbUK0qTrOpH9xfvW1vfm1NDwGA8UhNqsxFaIq8ALwRsoeV9kr7k3hbfD9fjxfT8yvCIyNfAq\n3Svuu+M7ihleO3Epte/78fLJwsObRomMjkNcwK233ippbq0ir/kyKciA4TpqM3lcyaLa8ND90Xbb\nbTdJ0s9//nNJc+0LleXVr361pM6+GDf2xVu3bp0k6fbbb5fUKX0bV1/2a/XsHVctUT+xPWzVs5b4\nv3vMqJSMdRSbwXG9QjNrHBWfS568x/8xxqwlzJG+yg7t4Di11Noy7S2tzbXKHvtaomgQQ9O3HhgZ\ntcQEsdbQz9TbYk1h7rPWsUcjdY/8+kpz74EHHpj1O3OQe8Ahhxwiqetn7K01G7CkYHFcriOKxRoK\n/ed1oLgXbG772KYilSRJkiRJ0siSZ6aQMrZkyRLNzMws9GmTJEmSJEl6MzMzEyqwqUglSZIkSZI0\nMrUYqXPOOWdDvEHfGBgnqnaK6vWNb3xD0twIf+ILyJwhQ4FYlug8fB7IkDnzzDNnnRd8B2yyybzC\nteMVz71mzOmnny5JOuussyR1sSK8dyfegc8Tw7PDDjtI6uIDiOmh36hFw3trMl8++MEPSpIuvPBC\nSV2Miu9kv+eee0qS7rrrLklzx7V2vOlHfo5VV6x0vi984QuSulgj+sV3RscOiKPAvrAT4jeI+SH+\ngziYf/iHf5DU9Sf9TTxNFAfB+aJ4B85HfAHjdPzxx8+6zknDeS699FJJXW2YKNaROBRipsi2Ja6J\n+UnsFv9nfp166qm64IILZv2NvvbYJfrE48BoAz+Zo8TJMSeZ65/4xCckdX2NzXhm77777iupi8Uh\nloc+wWaIgSFminbTl//yL/8iqRt7j/0itobrYu76WkOtM9rDT7IQTzzxREnS+eefP+v6+8J1MecZ\nQ/qL8eH61q5dK6lbu1ij+RxrE2sB101/+Zrie7kxfu94xztmnXfS+Fq22M9H7GApZo1Ysg9/+MOS\npEsuuURSN15RHSxi8vpmVRI75fc+7Ar7pV1R3TbmN/aAPdIu5g8Z26V+TEUqSZIkSZKkkakpUhtn\nv+BdtCpSHAulxb0vfscT5qmW8/H3UlYg5+m7Q7pnq5Wy/Ki7Q9YYT+0oMZ7Vhgf/ile8QlLnpXm9\nJxQOvGCUNK6b6rIHHHCApE5puvvuu2edr7Q33B133DHv9UXjTHYWmTDOpLMxgf7CS2G83D64fq9K\njNfFuKFUYXe+XxvePv1SysgpZdG5l9eyF53UKZZ9M6Ec1IIS9LtnMgH94vu3bZwFSF/iCUd1kfgO\nSgy/R6osx/UYCfe4oxpzHIe+8MrNnLeUJcXciHZhIHuwlPHre7SB2/jQPVE9y7G05x3XFfUjay+Z\n07SPccbWXWlbqLVjsdGa/VabPelri8+jCOpk+VrF2hjZnV8HayZrMWtvZN8QZcdif6W3RU4qUkmS\nJEmSJI1MTZHamLFqRbiXCSgzvjeen5caFrUedC3uxeJt4fUS07Jy5cpZ/4/eH/vTvtcp4mmcuABX\nOPi/P7Vz3fQfMSh9n86d2piovlV6JwVxFXg3KFL0S8lb8/HxWDf3yvEaS14c9N3JnvO3svfee0vq\nlCDOf8sttww6bl+89gwQcyjNVR6i2KhoreD7qLXY7lCItRhKaQ5F9a5aQSGgXzj/WMdHra8FJcH3\nagN+r903tRZicOgPjwudNJyf65vUrhJ98XsDylBkp9iNv+UgJmnnnXeWJP3oRz9qak/tWkf8arQD\nQF/mXSV+8Ytf6OCDD9Yuu+yiXXfdVf/0T/8k6Xc3+MMOO0wrV67Uq171qlmNOe+887Tjjjtq1apV\nuuqqq0ZpZJIkSZIkyWJkXkVqiy220EUXXaQ999xTv/nNb/TSl75Uhx12mC677DIddthhOuWUU3T+\n+edr7dq1Wrt2rdatW6dvfetbWrdunZ588kkdeuiheuCBBwZ7dXz/r/7qryRJ3//+9zf5uSi+wP/u\nlbnxXsZWoiCKJaJdHqcR7QQOrqTxlI+SwtM9cQMoKKWSYRyH46Pk9a127NTGwOH1Ev8wLeg/f+/u\newCiJJVi6zgOXpCPw9A4lBKtlfeJjeInewhGMUwRKEmt+2KRCUc1ayqcw8ZxUK5+YrvEDDGWrAEo\nVB4HhuKATQ7NLB4L+oK1yhU4FBPGHJUbBaDvnoD0F/3E8aMYJldfI7CJoWqpn2dSa/hRRx0lSTr2\n2GMlSV/72tckSZdddtlEzue0VjJfrJXBXTFkvt18881Nx2Mtju61zAfuaSUlivWhdjeVeZ9wttpq\nqw2p7M973vO0884768knn9R3v/tdvfnNb5YkvfnNb9YVV1whSfrOd76jY445RltssYWWLVumHXbY\nYcHl/yRJkiRJkoWiOkbq0Ucf1c9+9jPtt99++tWvfrUhnuhFL3rRBi/gqaee0v7777/hO0uXLh0l\n7uXd7363JOkNb3iDJOnqq6+W1P4enKfRkjfkNVA83sLrQ0WUvNnarEHwdvM0/+CDD0rqvDK88dri\n9Xgvnt3o8RBcNwpLKYaqr1cUKRdjx39EYFcoRYwf5+3r1QNxDrV7343FWOcrxfl4rSDoGwfjoF5Q\nE8bHfz6ly+cmnj01wFC5UINRWqIYlCgLcKHg/FEWmnvkQx1Z5gJKlCte2JbXh/LYM4c1JnpbwXk4\n/1gbcFBnqC+sdcQLPvzww5I6ZWrSa9KkYT5gV61rHPbZ997M+LLGl/Z7dbA7xpe1m/nPddXeY/vW\nt6p65/ab3/xGb3zjG/WZz3xmTjHKJUuWzPtAMlS6TZIkSZIkmRbXXnvtvP8vKlL/+7//qze+8Y06\n9thjdeSRR0r6nQr1y1/+UltttZWefvrpDVkzW2+99ax4pCeeeGJDFeb5IPYEL8e9Kqr1Uj+HGJYo\nJsornbtyVBvngJdBfADVgIm34H1rqWbL2PEV0cMp/cN5Su1yPJMJJcEVJfqTduCN+nt8Hrqj99YR\nkcJX6/XVVkBH6XDvA6/Fr7uvl+TgvUexVlzf2NtftsZIlfCaL7Tb7XyoIkVMFMf1/tvYLvzcke2h\nYt12222zfi/RN2NybFiDhtb2qoW1j7nEHOd3fjIGtXOUtSOyTWxm0vGDtbA7Brs1/OQnP5E0nhJV\n+3bDawOOxZo1ayRJK1askCRdeeWVkjrlrdQewF5a3xbttttukrpYqb5rIf1X6kdiDVn7S/fmgw8+\nWNdff334/3kVqWeeeUZve9vbtHr1ar3//e/f8PcjjjhCX/nKVyRJX/nKVzY8YB1xxBH65je/qd/+\n9rdav369HnzwwQ1bIyRJkiRJkvy+Ma8ideONN+rrX/+6dt99d+21116Sflfe4MMf/rCOOuoofelL\nX9KyZct0+eWXS5JWr16to446SqtXr9ZznvMcXXLJJVWv9ngf6xWf4Zvf/KakLp4BhcoVKb7vXkJt\nLE8EygReg+95x1N4RF+vBUWNp2R/Wo6enlGAhipgVA+maq17jXhDJa+I71F5PdrD0GlVZNinDG+o\nVIHeK4oD7Wa8vbp1hNcocrguj7PBPlCmxlY9avu9FuzM+43rc2VyaE0fP09r/MamKClRk97fsS+u\nAEwabJqx9fg36LvGMUci2+i7e0Tf8/YFO2nNPC1RmvPcR1FSxlKk/O3N+vXrJcVZmcC9we2hNgYp\ngrWq9R5Qmqdk46Fqj1UPbN4HqTVr1oQ3YwK+ndNOO02nnXba8JYlSZIkSZIschZFZXOIPP77779f\nUld5PMqcib7vMRV94WESbwSPGG9q7IwNjlcb24LXiFLH763xBZ5J05owQHYkP1v3faoFbwRlirpH\nxI5hRxB5T16dF/sp1cgpebuMh3txUcXzsSgpOLXxGYA3WpuR26oulPbd2hS111JSDwE12yueL3bw\nvPtmHznMBWyf/TCHMi2Fb9oxbq2wRpSUolawExSa0j2NONrWfTwjon1Wa/HxRXEj5o7fx1S1pdxr\nL0mSJEmSpJlFpUiV4KmyVGnbFZWS91PrnfpT7KRrh9R6bfQHXihKFjU1+r63JguTDKGhe+1BSYnC\n60V5dKLYL64XBYN2o0gRS+eKVIRXLKcf6V9Uib5eNd7SpOI/IjwOwsHbrVUM+9aG85jC2ti9SIki\naxelcWNqd1GoVUXpm0llPvalNsaHGBpXUbFhbLAUi4LNEpuF2osi8cgjj1S3fWOwtcUSe7a50Brj\nFWVWcw9jTeNz22+/vaROoYpiiYbGRE0azybF7oYqtU4qUkmSJEmSJI1sVooUT8WlzBX3eEvvxfHY\n8VKnvZ9WX/CWUezIqsIb5Wm8dr8mvM5ly5ZJkm644YbR2jofeMdR/SuvUcL1esVwxpGYtqjeWATH\nw2vxDCPOgx3WemW+g/tC4UV0HfprUqoL/Td0XmGXL33pSyV1Vbs3Vkw9CyxSwfg7cz9aI7CBxVJY\nuLY2HHOJ+D7G2Gt+1YLCRYzOUDWe+oJ9a8wNZWhNs80N1PRIkQKUxZ122mnW3yO7L709WChqYyKZ\n/9jx2PXJUpFKkiRJkiRpZLNSpKhwXKrb5JSUmNadtWvpmxXVFxQSYqU4D3EMfbPkUCZqa4qMTdRe\nshJRIGgn7/dRLNmTrRWOS80WMrdQA7A/lB76ueTl4w0tX758UPv6Uqs05L+doAAAIABJREFUTSpe\nxeM6Wuuc7bPPPpI6FalGnaGvvUIzx6hVZmo/h+IxtHZWRGm/Q28HtsrvfXc7oAYcqisKEmPY93pR\nSJhbC60QDd2dYHODe4JnIHvNOhSau+++W1IXb1q6124qTnEhqb2n1lY8d2rXzlSkkiRJkiRJGtms\nFCm8nr7e3tj7EvWFp3+8WjIiarPIHI95wUukKmxfr9NhHy8UHvfG8UZ5WncFyWvOoGh5bBGZQ3y+\n5C1ynlbvwqEGiu9UjzJD9iJeHN4d3hrXQX+UaqDg1S+0F16rpqA+ML+ID0K9ieJi+B4qg/cD/UM2\n5RNPPFHddqnrZ5RdVJkaBS3ak442Da0n41lxk1KioFY1RGFgzrWC4sC+lGRMogL3vV4+T+YnCtVC\nsVizBFtVWvqPtcl3MSCG6b777pNUtnfWdNbG6F6Cvbdm7a1atUpSOSuwL6zNrNlR+0tvifg+b0FK\npCKVJEmSJEnSyGalSDmeUUAsS986PUP3pitBDBZKEj/xFn71q1/1Op57cTx1R8fhKZ2ncLxVvA9+\np12PPfaYpM5L8EryeCM8rePl8TvfQ5nwyt0oT65w0B9RjBTjjTfD+3u825JXg5eFUoZ3TVwAEBsW\n2QNKFUoNx0VxYRyi63DFhkwZvkd/o6RyHN9LEbUBxQ+vlB3US+0AjhN5aaUMLcYTb9gV05UrV0rq\nskA5fqk+GeNM7SOyL+erY+XqWaRAcEzUNI7ZN8OQbKiS6s35YOw6Ng7XH52ndv9Lz/aDFStWSOpi\n0H76059K6sY0UkFZuzyb7NmC17xjzUPNZc5GSiqw1vga5HOd8WUeeMyPzw/WAuyZ/3N85jKKpCtS\nzP1SNiYK2VBYs1jTsSuUVFekPL6VtQg7ZN6zlta+zUpFKkmSJEmSpJElz7RuszzkpEuWaGZmZqFP\nmyRJkiRJ0puZmZlQaU1FKkmSJEmSpJGpxUhdcMEF4ftH3t/zHtlrwNSC6sVPsn94D0oGA+/7ySaK\nsseITeE9LO9neR/70Y9+dNb5Jo1fXwT9OLSaa+35xoLznHPOOZK6ceI9PrFNjANxIXvvvbekblzI\nyuM9OPEIjDdxBSeeeOKs8+F9eBVmj10iZgo89od4BmL4yFx605veJEm66KKLJEnbbLONpC5OgvZ7\nZlgEcThcL9mBxOideeaZkqTPfOYzkubGElI5nPlBfI3HXZDRwvwh7oJxYZ6ccsopkqRLLrlE0tx+\n4bqIVaM9feuecd7TTz99w7UxRvRZKc6LayhldRErctJJJ0maOxeGzjX6jtgZruPkk0+edT7iEek7\nYkGiuj5R7IrbJrsBHH/88bPOB8SYEFtS+0KDfsH2PVbnjDPOkCRdfPHFkrrr53vMVY8DJTYG27/j\njjtmHf+Vr3ylpM5GiBn627/9201eH/cI5jyxc0MzvznPueeeO+u6/F7EGsDcJS4Qu+D/XC/xrNg3\nMUs+92g//Y/d0J9cL+PpsXPYB/bC2ks7TjjhhFnX2ZdS5XWgH7jXnnXWWZK6+cBxaL/He65evVpS\nF0/rNQk5DvcI4k/f9773zd+uef+bJEmSJEmShExNkZqv/ghP55F3iBdSqtvj8HTqWWg8vZbqGOE9\n0C68vFL20bRx75gK0Xhbk6pc7nvftYK3hYLhey0yrngrVDYnswRQPFBasDMyX4DxxTvjc1E2aGn8\n8abxglwdwYvES3VVAQWo1ltDNcBeXTXw60BhpR9KexPSH4wH/cVPz8SK+od2tVbgh42/h+LSdy+4\n2vpCpTo8Q22dsWDsouwnbKGUqcz/fS4AtukZvRGtlcH9uNH4cN3cHzif13oD7gF+L2A8mUvYtvcT\nawmKDf2AIsb5x6pFyJzh+nwOlbL12N2DrLJShno091zZ414QVfLGfrwumdtDrbLk1H7es2lRiN2+\novpQrG0+r+h/+ovfa+vMpSKVJEmSJEnSyNQUqfk8Rp5+oxojxHK0KlL+tNo3ngHviKfV1sTH3Xff\nXZJ07733ShruzdbCeWqVKK8LVAvj595wqVK2g9KCchPV+MG7K1XbxevCjtw78fEca38uqkNHtXuI\nT3G4fpRErypNP1Mp3/dBczzGiXGIVIsI7yfUFJS16HzO0GrgG9eT66tE9cXVS2fo+Wtr4LGG0Xd+\nXjz1/fbbT1Kn0kbxpqxpkTKAUsOYD12roj36/O/MPVTWvms1n0dh8jmBYofixNrBXOxbhb8E10M7\nmDP8vfZeUmsnzD1imVjzWSN8HCNlFiWK44H3J/38yCOPVLVvKKzd2Adre2RfpfpW4GtjiVSkkiRJ\nkiRJGlnUlc15f+07mT/wwAPzfq92x+ZayMry981E+PetTA7Eeu2xxx6SpK997WutTezFnXfe2evz\nrft1ucJx0EEHSerGr1YRYzyJd4i80pe97GWSOtXghhtu2OTn3Isvebm1XkwEihFeYOTllLwo5sOe\ne+4pqeu/H/zgB7M+75lArhBxHP7fN54hgvO6ssZ5mL8lhQ8vvXYfLzKQWui7qwEKRl/w1BnL2tiL\nSFWkvVEMDOpnpDw42GS0dqKA+W4SQKY1NllSViJbJ34xshG+RwYvCkpUKRsFzpUL4DxcF3OV3znf\nWDFS7GLguwlwHsazr/JGxXG/N3J9HvtTUlYhirsE75colg08G3IoHss0dO9MxqFv/6cilSRJkiRJ\n0siiVKTwoNnHiadh3leX9odqjemJiLy+obEdKDY77rjjoONMmrH2BeM9fd84EuI98DaiWJ7ttttO\nkrTLLrtI6t7Tu73gneOV+Xt/BwUnirErgZ2UYrxK/XLddddJkm6++WZJZa+J6/MsVbdblNVop/Ra\nSsod/VhSpPoqZEOyZvvur9mqdpf2oIsotS9Smh588EFJXRZYyWaxCd8T0Inaj23XXl80h5mLvueb\nt/Oee+6pOg/H4a2CZ/x6hixqKMojCkurIuXKD7bNcVFUSjbPGhgpPlF8JfdOn/MoTaUsO+wvyhz2\nuRzZGd8/5JBDJHX1vu66665Nfj7C1fWx8X6KFFgnFakkSZIkSZJGpqZI/dmf/VkYA8FTMB463sD6\n9esllbOA3NuJdrUfSm0MRwQxPGNnhiw28Iqo4dHXq2CcSwrM97//fUmdd1ZSLqPjeVYhKkStd+Lg\ndeIFRtQqdbXv7zmeK0XuVdbGgHnNnb7UqhWTzrwbQm29Kac1s7fvmuUxX7XfxxNvjQEbK86O9qKU\nDI1NQrGjX1yddfg/cx6Vu7XWnitSrWt9KfYo+j9zyZVNX0NoJ3Pc76EoqiX7iN7SoAxSmZ17eF9F\nqnUN7ovHsJVIRSpJkiRJkqSRRRkjxXtXnm49vgBFozZCf6iH2zezpy+larYlJt2+VvAqPWOJOAy8\nz+j9PtQqMHjFP/7xj/s3diPwRrAbVIjaGJ8I7NczhyaN24XvK1erWgxVB4YquIuBVmVpoRi6BrRm\n6I4Fc5i55rsjRLFCpdp0rLHLli2b9/zMbXYhoNZcqxrbGkfLmkm8L+2Pri9SUGrvfbW15FCS+JzH\nDEZrCXOf2L3WNXRoVl4tUQ3LiFSkkiRJkiRJGlmUe+0BMS48zeKN9FWYeEpv9Q54Oo1iSSadSVBi\n0kpUKbYngvfZtI/9ofDy+lbSrmVo1WW/XuwGr88VnVpQoqZtL5OuoB/ZS9/4hqExWZOgti1RnaRJ\ngzKD6ts3o3Gh1dIIlAfmGjYbrXUlRQoFy7P0HDKUWeupID6WDdbu6sAaSUwR1x1VDHfFDsa+N3jN\nRM+CLEGdK+4Fk6bvLhqAslabpZuKVJIkSZIkSSNTU6Rq3pF6/SKefnm69P2YInivW/IOo4rKeGmu\nSJXqD9XSt5LzQsHTfKuXihe3evVqSdIOO+wgqXvaH1q3aFKgGBGbRVyM/94XFK3WzK++4J36/Jh0\nnE+kSPX1CheTEgW16uxQJYrz9I1Zoo+ZY2RZ1aq/Y1WcHoqv8RDFyNTG3JTUWFRT5s7QXQ0cj7+M\nYPyYq0uXLp319yj7L1pTPdasFV+7+lYA57pRbFHcyOgem9b4aOysNlYqFakkSZIkSZJGFmXWnsPT\nq/+s9bJqK3NHihDeAJkcgBc0VGEgM2OxKVI8zQ/NeiQTh37Cyxvb22vFY3f4HSUOLw5vsG/cAfEA\nKKqRWkEsH95jVJunNkaL/nUFyuuqoawOVdyAjKPfRyJVeuxsImwsUoNLmbrYGGp3LX0Vhlaiitoe\nh8jvXKfbfF+lpWTbKFG0j/4fK56zbwYyc5SYN/qlth4V6jo/W3epYE1kT0WUy751zlCZGc+x6kK5\ngtuaFQi19aM2nH/Q2ZIkSZIkSZ7FbBaKFN4VGRTE7gx96nRWrVolqVMOUL72228/Sd3+QDBWrAve\nFPtBoQDVeg881eNtoYDQX63wlB/tQF8LNVBoZ2sW4KRwLxXvzWuzkAFVqz6whx1eLdftmS9Qq3jV\n2l3kffvxuR6ul3GKvE2PvfJ5OGlllfHwHRCmwaTr2kQVq0s28sIXvlCStNVWW0nqFJWhaya27Mfx\nNaIUIxYpSCh82DhjG9ly35gfjyHienxPPpSTsStpu5KI0uRrPVl7xJfS36wpN910k6SywsW9gH7k\nenkLgsIa2QXXT4V31GYUKc8SLIGShuL3+OOP9/q+w7MA9oIC69mqzAdfO6Iahn33VV1cd7QkSZIk\nSZLNiM1CkQK8qpI39hd/8RdNx1+xYoWkzishNqr1eLWgULTWJ+J7tdVpa6Gfh3rdvO+/++67B7dp\nIUCRouYM3gxKS9QfeG/RvlV4vaXYsEkrLNHxaXfk5eLF4oVGcRqebYd3TYwhKgLerSt0keoBfI//\n962V1AIe9NZbb930fWJLqI2HZ7z99ttLku67776hTZwFfUpfYcNDs/KitwFk5HJdKD+PPfbYJo9T\nqoC9UDAXuJ4777xz1v/HyswGr2kYvXWgAjj3JOYU/Vkba+VvK1xtRrHi/9gNyhl2z5yP5motfd+2\nOF5/yteyaC1A2WU+jLU3JKQilSRJkiRJ0sjUFKn/9//+3wYPd9ttt5U0t04UT5G8x+Qp2d/z8jTN\n03NtNVKHGChqr9x7772SFq4SdWvMFe+vUTrw/KO4AvqN6yKWyuMNSsqAHw/lDiWnpLzgndEOvu+K\nj9fZ8qyzWvCmURzxStwLxmvz+AjiQIhT4Lo9m5T20W+egVOL17PqC+1zokyn0nlK8RTgWXtPP/30\nJj/nWbDePvrf42361JxhzWCN4ZprlRnWEtamVnWa8zMmKAx9Y0xqbR81mb4fS+V0T5727LLLLpI6\nG1q5cqWkrv+iitwRrD2ePdU305e1kTXE+w3FiXZia/QfSiL3lvvvv3/W5/pS+z0UvRtvvFFSN+f6\nxr1yHM8Y9nbw9oXrZBxZG7Efv7e6+kxMHmuhZ+lh77WZz9gBn++7Bx4w7qW1w3dTqI2RS0UqSZIk\nSZKkkSXPTGE78yVLlmhmZmahT5skSZIkSdKbmZmZ8C1PKlJJkiRJkiSNTC1GapKKFO9VTz31VEnS\n+eefL6l7H966xxvvZ3m/TCwHv3NN/OR9Me/1/T18Kc7Bd5Dn+8Rwvfe97511PvAMoVbIxCGu5C1v\neYsk6bzzzpvVfuIYoh3aPXPE/06/8l6a99Qf+MAHJPW3FcbZs9A8Jojx4+cpp5wy63yl6tFQu58Z\nGSd87swzz5QkrV27VtLcuAXsmLgCYsfoR/qf+AXa65lB/P2jH/2oJOmCCy6Q1NkXsUq+D1hUEZ2/\nl2r40I+f/vSnJXWZY4wz/RDFjUQ7t9Nuxpn6b6961av08Y9/XFKX7cQcvPXWWyXNjfEh3s2r+Hs2\nEn3INZ944omSpLPPPnvW5zzOsVT5vDZT19eWPffcc1Y7yTbzviRejTlFVhPnoy+xMWzq7W9/uyTp\n8ssvl9TFqTKXauP2aB/9QNwr52d83vnOd0qSLr30Uklzs8PYk43x8pp+HJ//kxVGbJHHop1wwgmS\n4rWldu6X4kiZM6eddpqkzl44bumFUBQnyVz1NY74z3e/+92SpHPPPVdSt/bQXsadmCviWoHjRFlw\n9DPfZ2357Gc/K6nrf+Y814t90t7I7n1e0A/cM1irP/axj81qb1Sjz9vd9xmgdA9KRSpJkiRJkqSR\nzaqOVC3uHfAU2/cpdO+995bUZb7wlM1TMseNsgTxaqKaFSg+Dz300Cb/jxfh9Xe8BgdP616/aCh4\n557V5v1byuKKvC7+7t6WZ4L0Be+/5FXSn66seIZL9H284Nr2RspcpMjQr3iLeF0onK7UuNcH7o3T\nXv9cSWHqm3Xo5+tb3yzKNPPMo40zwrxuEpm3PgeXLVsmqZu7eNa+xxu2Sb2nqC4SfexZVRwv8vD7\nZuqifu6+++6SujHzGm2cN6og7bspLF++fJPtI7uxtb5TVP0efG5FNki7ovpDzPlI+etbt6ikRKF4\nMjej66N/AUUEpaq0Z16k/EVrl48fChT3CPoHu4vuXaXsQL7HPcf/Tv9hN30r6vu8iPqBtbQ2m7Pv\nM0BtHbFUpJIkSZIkSRqZmiL1h3/4h811k6KKyJHXF3kppT3p7rrrLkmxZ1yqzRLVz4FIiQK8KPc6\nXNHgaZ+n9rESMfFGPV4EL5fzlvqhtEM7la8Zz7Fq3tTWKnFqFaa+Fd8jr7j03p44kl133VVSp2yx\n31bJG0NNcZh/tfEgtfheinjDpXbyPa6TPRqj/eZgY7tCefrJT34iKVZ8iB/Eg3YbxxapP0RMiStb\nzAVs3GGtYgzp46iGVgna6/tW+nXye6l+E33stfugb92mvnitMxQA5grKDf3L57n+vuq1Kyh9wQ5o\nx8MPPzzv531c6OdSO2rnpMfROnzf32bQf9GaXFKnWftdpcbOgXvS2PviOpPa87L2uKlIJUmSJEmS\nNLJZKlKRgtR3z63SU/JQZWSoMlT7FE98Bt5qayyLg1eCVw5476Wndb6H9xPFyOCd8dMVjVqIWyh5\niU5rJXyH+BX6pXYciOeJFCkypqKdygGFFS+VcYoUHR8fn1etldW9GjBeccnL5u+MI+oEylvExvtv\neUxIlB3kY8PvXrkc20DB8u/Rt1EfM6YoK0Pj/4C1BWVrqJoYqdn049h7k4ErKR6LRX/zk9i2PfbY\nQ1IXG1aKNcImPeYFpQv78H50m6W9njXosJZF94BSRnXteJbuEVyXr7GtldkBFd3Hi3swawnxpqXs\n1UmDUoYiR3vG2pc2FakkSZIkSZJGpqZI9VFN8Brw+HmqLsUglZjW03HEYYcdJqnzdry2RwTeLv2D\nlzA0viHau5Cx46ker83PV5vpg9eEl9S6nxL2gBdEu0vtcLUCRQe7i/qxVnFzPB6Hnd5bYdxRDTg+\nakikrEbtpQ7ZmjVrJEm33367pHqlzxVFxhOFszT3v/3tb1edBzaO50Dde/7zny+pU2xKajU24Kof\nSpPXHAOuLVJs8MxRJoYqAZ7JSRzjUBU6ah9q96QUKd/zsLRmsVcatl2rJnN9bpusndH1uTLEXGOO\nrFu3bt7zeSyc92dr7BBKodeDcjzzuBT7VEt0Po+d4nrpL+KCh86DvnD9ZOJz709FKkmSJEmSZMps\nFnWkeIrGC2uNoamFp3281LFijkpwHpSOSJFyLwyvmTiHsZQ2vAuPefH+L2VVlfCaJq3tH1thLHlv\nKF1eK6aEe6Gt8S2oLmS5oWy5HWDPteBN4631VQi932or+beycdwRfYk6WaqHA1GFcdQ8+tKvbeut\nt5bUKSWlejcRKAteYd2hfV7lvpQZWwKbdLW0No61VOF7LJhzrXWtXFHsa5PMBdZA1G+PfaPf/Hz0\nk6+pfcHOqP/F75HSg5147cPWOOWSQsl18vYIu/TdQPrSmnWJIt03jrqWVKSSJEmSJEka2SwUKWes\nejcRfbOUxgKvtlRN1Wuv4B3xtB/VvOkLx+V4Tqs34+Cd4C1NenxL9PWWhnqXHmdTqy74/mh4gR47\n2Neeiet44IEHJA2PI5j0eG6s9pSUKGJiyDryvcfuu+++TX4v6kPqNJUyfFFqokxIz66KjoeSQHYh\n32NN6FvBG7A9rwNUm2U4aSVqKPRbaU4xl7EHHydiumqVTj8f9ob9eYxYXxgfr+3nsFZ4RXSP4XO4\nF/n3WHN87eP/tAN77LtHY8TQtXZSpCKVJEmSJEnSyGapSI1F9H57WpAxxB58Ee6tuhc7llLEcT0m\ni/4aS2nAi1ms3kYEMUpLly6VVM6Si4gUxpL3jL3g5UWxan3tgfNS9TqilLEGk87Q2ThepqQU4Enz\nHcYQm45ifZgDPra1Y13KAMXzp8p/pIwRP0m7XUlqVaRon8/BxZbZDNG+lRHMAY+t8jWM43FvwA6i\n+lLRvQPlMaqTNdbuDeyhyBqycU01qVOisC/sn+thDlOHy/uT+RCtRf55lDzsnP4ZKz5yrF07xiYV\nqSRJkiRJkkaelYoUcRJDFSm8w9YMEoenfrwK2ulP895eapuwP9hYtUK4Ps/koV1jKQ14w3h5C5Ul\nORTPmKrdU85B+eP7qB+Mc+SF0f+lcWC8xgZvvRTXM2mlsaUyPUqLxy7huY+VWQme+RjVXCt53KwN\nzEnmDO1uzcYiZmdSttJKpDxxnfQHv6PIRWuIH4e1M9pVIBr30j3D7zHAuI0dhxutOVwv58POUKpY\nu0p2V3tP8aw6xmFolmB0/MVCKlJJkiRJkiSNLM7HuwnDU/LQ2Cie7sfaq42nfo5b6wXglaII4P3y\ne6v3Q2aQe3ce0zT0vXVrXMe0IR4HdaPVDvi+7wM1VjxAlHU5lNo4j0ln7W28P16r5+t1dqL/t1Ib\nV1iqyeYxKFwnf0dZ67u21dpuSX3si5/Xx4/YH+8X1rhtttlGUjduKEHEDjk+vtHbhNpdJSJc+QGu\np7TX3lgKDnZCPCXKG2sMbx2ifTD7xshxPM8cRpnjXtJ6TxqrhiTHwR6G9nMqUkmSJEmSJI08KxUp\n3lPzlLxy5UpJXf2cyJuJYH+vsSjtLO5Q5wdvgmrLeFWtT/9UgXVvEK9vWvW2Fht4562qhfcvXmAU\nI1ci8uodVIxJZ9WV4lCGsrHK4J4l1x7FkPB5st8ipWWoAjNWZjBzDjWU47J2tZ6Hekae9eWMpUTB\nihUrZv1OrFa09qAkUNEbhYz2lzJIfY6OfT2O1wSkfaU5jV1GdcegtqK8xxYxH1gDUM68Zly0prGb\nwt133z3r75GyyXmG3jta1W2PP6W/uO6ha1MqUkmSJEmSJI08qxQpvFO8Njx/fm+N1RkrS64Vnu69\neu9QxYj36s6LXvQiSZ1y5zFaffHsx9b34NF+ZdTm8ff2Q0FpcXuirhS1WUpEdcGw11pvac2aNZI6\nL5Wd1qP9pfDG+ipSJZXHFbAo0yaKtynFh6Akc57ddtttw/+op4Tn2vfamDujx1AEMSh9P3fPPfdI\n6vrssccekzSeqtj3OltVU1i/fv2s30trFv3CvpLY0FiZ02Pjdc1od20/l/qjtOaytrImuWLJ2hKd\nx8eVLD/ewniWp18v40MsGwpjawzatttu2/Q9FCnWRpTBsVTyVKSSJEmSJEkaWdSKFE/T2223nSTp\n3nvvldQ9laKI1CpC7kHzdMx5ogyFksJQu++S05qZ4e+h/f04+3/5+22u02Nj+npznJ+fPO1HsVSc\n16sL0w73klrfgxOPgGJB3ETf6yvFJfB/FCn2SOT6+u4wvmrVKkmdQkS/YdfYJe3hOvEO99prL0nS\nfvvtJ6mbJ8S7REpr1E4UR9QYvNLaGLBIqUIZxB74nfZRzbsU7+F7DG6sYDJX8dRd8YhA3SIbjLnB\n74ytq7R45owFnrYrBbV9x5yIqv1zHjIVaSfHJ1aK31EESrXNiFXydh9yyCGSpIcfflhStwbyuUiJ\nYg4yl/mcH9/ra7HWoxTwf2w+2v/T6yTx/2XLlknqbMrbiy15pXjGkfMRR0v7qdlHv7IWeIyR2zKK\nCNfD2teqKDLHGXeH6+Enaxd2Rb/V7pXotfL8XkS/AP2LPaBMYResQYxL1A9Ds0Vpb+mtU61yPOd7\nTa1KkiRJkiRJtOSZKWxes2TJEs3MzCz0aZMkSZIkSXozMzMTKsupSCVJkiRJkjQytRip+RQp3m/z\nHpn3psQpbLnllpK6miNUifX3n2eccYYk6VOf+pSkOJvNK3hHMTV8Lso44Jr4yftwMomIr/D30Vwn\nsV/Rzu/EDxCTddJJJ0mSzj33XEnd++OhtTY87gK4rrVr1876nEPMT3QdtXh/Rhx00EGz2nPzzTfP\n+j/xL6WqwqXzEUcRvWfnPT79H40D/fyhD31o3vOV7K0WYp7e9a53zTpfabwd4nNqYxJrx8/pGw9B\nu04//fQNc93nHDESYwnwXNN5550nqRxjgu1tv/32krqMSq97RKwNawFZeh/5yEckSWeffbYk6SUv\necms45EN5rZNDBdrEf3BWsr5DjzwQEnd2nLooYdKki688EJJ3VgQK0Rc3jXXXCOpixPcaaedJHWZ\nlI8++qgk6bbbbpPUxccR28NYv+lNb5IU2woxXMQC+RpNXSNidHzOcD5iro477jhJ0qWXXiqpi1Xi\n3uNxiYcffrgk6YYbbpj1eWBtJkaKmCDiRk844YR5r28ozAE4/fTTJ3o+h/Mw/0oV+oF7XxRDB9g7\nnzv++OMlSV/60pckzbVr74/aGDDg+8zDY489dt7PpyKVJEmSJEnSyKLM2ivtao/3gzLgdYMioqfS\nPfbYQ5J09dVXz/t9vJmSQuBVXPk9Oj/eT6TgcJyoFgj/x7vjJ14BXiftKNWHImMmyvQpZZgMVaL6\n7vCNFxqdl+su7W9VopTxUaug1NbcqfXqSkTj2LfO2Fj10krZqqV+xNtHzdlY+aPPmCsoU2P1pVPr\n6TIGd95557yfQ9FAOfM+8sxQVEXPFgNsluO5Ike/oER59pfbDkoQawRrMTAXUcJQovz7tKNUSR24\n7mhtIBsMpc9hzvned6xlnt2GcsYc+d73vjdv+/y89JvXWYogi45cf65JAAAgAElEQVS1Kpqb2DX9\nQW085qb3J+dnjngdJUBJxB64RzDXuOe4/WB/gIITVTyn3by14HyltZnz+9rJ9UdrRl8lCuiv6v1u\nm86SJEmSJEmSTE+Rev7zn7/hKZWn9761NEr7KkHJG8X7QHGqPW6EK2p9FRbHY7e8GiuKFu+b/Xx4\nq1FVWLwcjoPXxlN53/4gtoe4EI7L032pmmzfyub0c1QDZGiM0djU1g0reVNc74477ihJuv/++zf5\nub47uLcSzR9XaIeqQ15/bOP+ZE1Zt27dJr9L9XdigBZb9jDKBPGfHgvE9aEs4MlHY1yKl+T/KEv/\nv71zjbGqOt/4c2JJajK1WFsGZGwGuch9oBBKPxhrBJMmDdpAGm2wNGJMjEljNbb9YjO9qLVJS5G0\nsRdNSBqt8UNLmwoxTfBSEjpYII1OU6QMBhCxgk2gjcE2+/+B/+8cZs2sWXvvc9kzw/P7MnDOPvuy\nbnu9z3rfd6XU0lChCKEv/vWvfx32eZj3Cd+uvKT2Ety7d++w64fQJsNyChUHyjflS5d6V9B38yoi\nXC+mROFj9ZnPfEaS9OCDD456HO0ivE8Ux7A9cDx7F4Z9KlQQAeUrVNxifZvrUP4cl3csiB3H9WO7\nQ6TKP9aeef68Y7UVKWOMMcaYklSmSF155ZV1z3giHlhXxapYvXq1pMascd++fZLiUXVYc0Ujc/Cj\nIBKFyIyQouutKDL4C/BcRRUClIeYNYaVkdr5HSUo3DGc2TzKFdZjrBxT1hgKUFklqOi+XUQGlYX2\nVZZ7771XUiOzOBElKeusWW655RZJjWjCmCLVKWLtAT8KFNNmI+ioL6zsi63G1O7y+IKsX79eUmNM\n+cMf/lDqXsruThADS5ooJXYpAK4TqvnNQt2FvlZhpCZjSEw1jvm38v8wo3fe/S9TYxttIZZhHMI2\nFyoZlG+s7zL2kTGdqMqQsu+iGChA+LGGGcQh9H8Nn493RajY7Nq1a8zrU67UO+UQlhO7jYSE91HW\nXzVcbYmt9uR9h6RWwVCGU1iRMsYYY4wpSWWK1D//+c/6LJVZbjg7HBgYkNTIE4Ri9OKLL456zrKz\nf2bx5GKJUXSnaKwILOiyvlLh/kyhgpKyflCYYopBaMWkZvNld3ofr6Ss3RRYsatWrZKUXvcvG0kS\nQr6svJFPVUH5oBKh1Jb1lWLcoF8UiSakzFCgmlXxQpWtWcII3BixKKqyhPtmAmMLz4k/aZinJy/U\nGWN92fOEoBxw/pgiFUI5M6alcpjNnDlTUtpvNNzrsFnI3ffyyy9LKr+/LIR7OMagvilfokXDaM0U\n4f6sKQU3tuoRqvnh2E15U/6MNbFySEUIxyLcQ6xIGWOMMcaUpDJFKo81ynru7t27xzwu5bOTmpWy\no3kqwgWrJe+sGh8hFIiyFji/5/5CK471a74PfchS68BE6eG7xSw9pnSlZvGp+iA78qFDh8Y8z3gH\n6weF9Iknnujo9fEzGO8KIe2Hdtjs/YZ+NRdbqai1sWzt+GE+/PDDktJKEgpN+AzQ6rKnD6b8C1Hx\nUz5BeWHMwJ8TeL7QJyZvzrSQ0D+O85aFul+xYoWkhoKQ1wcnbB/smkF5hGNYUb/PMG9VWXjn7Nmz\np9DvWI2g3TKm51W0wnKIRcdBbDeGlO9iCOUWln+opIXvbO6HfsHfsrkN8/ZvK1LGGGOMMSUZl5nN\ni5Jar07NKvl93vXsvBE6zL7zrkfHYNaNNReeD6s5jOTJu+ceVhhWHFbHjBkzJI30DUv5ZYTZc7nf\ntWvXSmr4GWAlxSI9xjuUd7OZ3Ft1HzGabX/NgnrCfcSiVmmHWNGxdhH2v4tVItp8qo3m9WlKWdCt\n8ncD7psotNR1UdubhTKMKVuholFWkeJ31GGr7h8fnli9x1YRQmWGsS5Wr6l6CWlVNCcKDe+oEydO\nSEq38/CdVtanLm9904dRpIgoxscuFnEfgt8n5+H6qfunnXKdMFN/UfLmNLQiZYwxxhhTksoUqQ9/\n+MOFM5nnpejOz1gheXOa5PWR4rhWWa34J4QWfahYxZQo9jcibxb5l7jP2HlTikcIVi3KFJm3yawe\nZiKfqLRajShLSjVpNnIIaxLrEp/CvIyWgXw0sLq5HhFCqXHi4vYettVm8/ngw8M9tEphSNGsJV2W\nWAQrYyp/i+7TGBJGV5WFPkgmdRQu8nChstO2Ur5kYRRfs/fXqqg9FBnGbvJIpXydwvbabN4zovhi\nfTK2NyTlQD2k/IUpf5RGlKm8exc22z4hb87Hif0mM8YYY4ypkEp9pMKIglZRdJf6opnGUxEIWLE8\nX9H8UxD6tnC+0L8DayXl94EvD0pQat+sspnJUQiwXrBG3nzzTUmN8s67Xm7GJmXdNWsVY8WW7aeo\nBCk14B//+Iekxr5fqB+p6168j1uoEnJtxoSiliq7LtBnwl3t20XeaKFmo/XyghKCwsB1UQ/LjqGt\ngrZDxvHY+cMcfGG+pzCPV7NjFFFjzYIyw33hF5t614XtnectqtRSLjwPvmKxDPZh+XE99nVlNSTW\nbg4fPjzq50VXR/KCTxbPxXWc2dwYY4wxps1Upki9//779dkts9dQGWEWy2yR4/CdaBXMmvHhSUWR\npaxarLRUNGEKrGksbqLoml3/xZrB4o8pWaG/QFE4PxEmKFyxfb1Me2i2vdA+yraDMBtxzBqO5WpK\ncbFyG94jClVZf7bBwcFSv2sW+nrKb7Ns9FyMUEFhLAvVQcaksooUbYrnbBbqHTU8VJ5QGlBEIOYr\nhALXrCLVKl+3MDI7b0b4sK/ljeQOoXwZy2l3odpNuwjLlevzLi+bQ7BdftXhGMX95/WbtiJljDHG\nGFOSMRWpY8eO6ctf/rLeeecd1Wo13X333frqV7+q/v5+/fKXv6xnMX3kkUf0uc99TpL06KOP6qmn\nntJll12mxx9/XDfffPOo5+7q6hqxdxyzXRQLsuwyy2VWHMvmi09OWSsCK6TZvEZYAc0qAfi+MDvm\nuULlLu8sPVxfx58A6wIfJmg2Ko1ZPvVq2kOz7T4vZdvDmTNnhv0f6xS/o9BKRt3I238utn7D34T3\nTFnRt1q1V12rwCeL+8xrEbeKcExF+cAXB18Zxuyy0V/U8dDQUKnfh9CGwgjmkFQbjvn+lKVVfZL7\nIU9TXh8z3mm0ozBqL6zfFOE7pLu7e9j3vKvDfsX58X0qq6Q2uy9qjNg4kFfBG3MiNWXKFG3ZskXL\nli3TuXPntGLFCq1du1a1Wk3333+/7r///mHHDw4O6tlnn9Xg4KBOnDihNWvW6NChQxM+zN0YY4wx\nZjTGnEhNnz69PqPt6urSggULxsyoumPHDt1+++2aMmWKent7NWfOHA0MDGj16tUjjr3iiiuS+yEx\nGyR/DbP72Hp82dk/s2sUthixfYRCsBZSlnfR+0OJC/enyjtLxwpg3T6mRKXg+VI+M62yNltF3vor\nCn0k707hrQa/j6qiILFSY1ZmzNqN9YeivnN5fLfog6jc/L9opuqQOXPmSGo8e+j/l7L0Ua+XLl0q\nqaH0kG+H/EhVESpjPF/ZsSykWdWe8kMZoS/Eyi1v329VHqJWQcQ19583Epx3Bf62+KShHIXRqChV\n4fsdpZTf8w5hVQliCmreXT64X1YzQjU7dnyz/six6/DuTZFbKjp69KgOHDhQnxRt27ZNfX192rx5\nc33QeOutt4Y58/X09HhZxxhjjDGTllxRe+fOndOGDRu0detWdXV16Z577tG3vvUtSdJDDz2kBx54\nQE8++eSov43NQPPszs06d2gdxCzfMBdEXrAa//KXvwz7nNk6s+O8/hRYyFgBYebwotFPYYQGCkhZ\nmt0bjujGWK4PqNr/BPUB66nVShQ5RrgO7a7TGc9Tyl+zuWyuvfZaSdKRI0ckNaxA2nFKdQnzlWHF\nMjY0a01eHKFFXwkjZxkzyDfUKkK/Rcokr+8QfSTsSyhSeeG5GbPCNphSxVFrw9+F0Vn8nv+HCgZq\nNWNfTDnh9/j8lIW2GNuHtCiM1bE9BVEoaHP4LjG2Ux6M0WHfK5pZnNUYFJOiqjP3F0YxMhbSzhBA\n6DeUJ/VJOeNbyO9jeaRCwqhBxk6ei/bJ81LOKUWK9srxofJFu2Zsjo1Vsc9RZFMkFakPPvhA69ev\n18aNG3XrrbdKutD4a7WaarWa7rrrLg0MDEi6sBntsWPH6r89fvx4fYNaY4wxxpiJwtmzZ3X27Fnt\n3r17zONq2RiyQZZl2rRpk6666ipt2bKl/vnJkyfra6VbtmzRvn379PTTT2twcFBf+tKXNDAwUHc2\nP3z48AgroVarqb+/v4nHM8YYY4zpDP39/dFVljGX9vbs2aNf/epXWrp0qZYvXy7pQqqDZ555RgcP\nHlStVtOsWbP0s5/9TJK0cOFCffGLX9TChQv1oQ99SD/96U+bllqNMcYYY8YrYypSbbtoraapU6fW\nndTxbWJ9k3VW1lFZZ2ddHX+AMPKAdWqWEzdu3ChJdfUr5icQrkOH4COV8n3hOj/4wQ+G3U9IGOWU\nun4Iz/3Nb35z2HXbDdfhb97oPSi6t2J4vRR56ynv9a655hpJjQgs/AbCzPCxve7wS6Ad0O7wk3jo\noYeGXa/dFC3PVl1v27Ztkhr9GDU7lrMH/xr8Gyg/yp9yp9/w+b333qvvfOc7kloXVRajbFnybKl9\nMWPX+/a3vy2p4bNCGRAxmuqLlB3DfszflOt973vfG/O4VsH1fvzjH0saGbkZGzt4HvokfZ+xie/x\nScKwv++++4ZdN9WnP//5z0tq+Pbu379/2Pf4QoX7SlLPsefjXcDz8Q7kfnk38i4Moyd5Hv7S7rne\nE088IanhC8WuILQT+hb3vWjRIkmNcj548KCk+NiKT9XXv/71Ydct+m4oms8qb/+j/Civsrsz9Pf3\nj6lIOcGTMcYYY0xJKttr7+KZHREv4WwUq2D+/PmSGhYsyk2oYEEsmixmpaaUIHKUkPGc2Tb3G85S\nU/sghfeRV4mCmKKD0kEkTGhFtjpqrejsvl37JEGro+UuDpy4mNBqjBHL71U2G/REJVzeT2WPxopH\nQY5FKhEZhTUvtV+JapaiSlQIYw1tq2imZxSQvHmS2q1EhcTaROxzxuDw3VF0LOD8sXLhnRKLeEZh\nSuVAC88f1mcIfSUWic7vY0oJfSeV4452uXfv3lG/j5VnbNWFd1HeHIp5lajYdWJjat4I/jDqryhW\npIwxxhhjSlKZInWxhRHORvFNYV33pptuktRQVPbt2ycpnhOGWWqrCPfeS1kBYS6V0Aptl9XMrBwl\nj3Xh6667TpLq+yH+6U9/ktTwVeH5YgrMpRowgF8A7TOst5gi12wm+5BO7aXXLshRg/VK/4ipDJR7\n6nlp32NtQRXz7VixYoWkkbnjJjtXX321pPz5tFJ+h4xx+AhRF/SN1F6B4Z5x7VatQ1Ai6OMxBS6V\new9fIdo45RauTuA3SXmG+ZnKkvIh63Sm9k5dr1l1n7kC70h8wopiRcoYY4wxpiSVKVLTpk2LKiDM\nElk3JtoHC3Tu3LmS4r5QRWep+FpgTaWyrqfWc7Fq2pXhOuWDFWaKxkoiM/X1118vqWEF7dmzZ8zz\nVZ2hvFnK7sdEO8Jqzfv7mBIV25MuZfWj0LZqf7hOg+pABnj+H/MnydtvKMexlL/YuVauXCmpoRC8\n+uqrktJ1XFadDVWzVqmVsbYTRnOFY2qrIaqMXQ/wyaGOYv6ZVfsLhsoQSkrKNyyMKA99hTgvUWNA\nfUFKiULx42+eHUEuBqWKd1ZZpYg+S31VVW/h3n4pUmo+UYphPRXFipQxxhhjTEkqU6TG8mtgXZ1Z\n/ZtvvimpMbv+1Kc+1dJ7YX0fK6PorD+E2W+7fKGKRjgQFYgC+Prrr0uaeMpGWbDKi+YqwSrNuwN4\nWVIKTCpyZ7xD+8N6p58VrY8Qyq1MbpiXXnpJ0sg901IUVWex5L/2ta9JauQjIh/UH//4x0Lnw8eJ\nthBTGPB/RIFC+Th16lSh66XaJv6f+JaEPiYXR1SORqhslM2zVZYw/xLKXUqRiu0hGBK2F/b9TIFC\ngoJFvrDYuynWfskb1Sxl8y+1mlDRS5GqR9pbsz5dVqSMMcYYY0pSmSI11hprzApi1p3a7b4oqdwf\nRRlvuWxCv49Q2SAT/IkTJzp2T52krF8ImbWxBv/+9783dR9YR0X9bDqdy6fVhMoRz4PPWFlFinaM\nolyEVBRWq+CZd+zYIamhhMXy9aTA9yg1xjSrqldFp5QooC8W9Z/MS9i28yo74RidygN1qVA0cjml\nNKHQkiGgLFakjDHGGGNKMi4ymxeFCJBW5ethvbtdES3jnaVLl0pqWEGxbLUTnbztJYzSI/KjVf4b\nRdv+rFmzJElz5syRlI6yHG9glaNAhVmk8Uvhb1F/jKKRPFXQKgUs71g3XnKP4dPS6fxQeaHtNJvH\nKUarcxpOFJrd9zRGq1d7UG6J2iyLFSljjDHGmJJUpkg14/eBf1XMsi/qg0L0UFElhj3tWhUZ0WmI\nAMJaHCuScjJABFGqnomYIdoM/wQUlbKwDl/U+uW65JOaaIpUqj+WzU1DfV6qmffHolUKEGWbV0Xl\neBQJlDHU/rCOUznx2k27x7xOR9qOl77QrhyKRUmN+XzO6kNZJW1yvzmNMcYYY9pIZYrU1KlTkzlN\nsMRZF+UvuV9ivipFfVDK+gThMzPRFCny+PDcg4ODkia/j1jRjNn46rTKui+bYR1FjP2gyE00XnK7\npOA+6ZcouZRr0f5HOaImTHYltQytUgQo25RaSOQkdUMfSv2esXyy0umI23DvwkudvCo3ylVZnzaP\nQMYYY4wxJalMkcqzNs56bxht1a6dpZnN59nDS8q/gzoU9TdoF3mz8k40UkoNvk+p7MJEOtHuqK9m\n6436L+oLRH4vrKbFixdLkvbv39/U/XQK1JFQWS7rHxMqeqns2aY8qO7k2kNBYgwOM4KHe/qlxuqq\nfXrGu6pb1GdnvPgmjRcoDzL9s3rEGEx7Zh/Q1157rdR1rEgZY4wxxpSkMkUqj18R+WfCPD4oRkRE\n5J2Fx/IIsa5PJmv29stLXquqrKKBr9hEz3Ddbsj/RH3QLsi/tGDBAknS73//+zHP0y6rrqwvHtYT\nGdbxlZooihT9lj002fOR50LFKKrU0Z8nUq6eqvM7Fc2FRp0wBhHpS1sOVVbGOMaqVJtPqf60eSJo\nmyX0IWLM6FTuvJ6eHknS8ePHcx2PPyvvS78DyhHLNUe7btY/2IqUMcYYY0xJKlOkilj9oQ9E2X2R\nQusHBYooIjKmF1WOsNLaRausEKyvdvmYVU1MaaT9/PnPf+74PUkN5aRsRA3WFOv5fX19kqS//e1v\nkqSDBw82e4tthczsoWpB1F5KHaEe+R3td9WqVZI6n6unDLTBZiMMUSjK+jkWzcofHn/o0KFh/8f3\nJFS6WE1IjaXhPqf4zeX9fVFCn6h27bEXo2hm7om6Z2K7KNt/Yv7MtL9m1X0rUsYYY4wxJalMkZo+\nfXrSTwDrBGsHSxSrDIu27M7YWHX8LbuPD1FVUNbno9VgBYd7m0008vp1oNzRPmhfhw8fllQ8HxRR\nftRnKtovBu2qbHtg/f65556T1PCzafW+U+0CJY7M7ihslAeRSXxOPZIBnt9TDnyPf8PF7QLVjmO7\nu7uH/Qalg+OoW/y2UnCvecGCnj59uqSG6l0Wxqowc3i7ctnFosYoe3yLwszljN2UO+VM+fP/3t7e\nYeflewjVRlYPOD8qO32b+zp69Giu50uNCYwBPH9RX6pQhc77+zBH2kTxjaIPoyTSHsKI6aJjIe2c\nMaTVNBs9akXKGGOMMaYktayCpEa1Wk39/f2dvqwxxhhjTGH6+/ujPntWpIwxxhhjSlKZj9Rzzz1X\n92FhHR7/AXwjrr32WkkNX5DQjyH0ucAfgnXYO++8U5L03e9+V1Ijeyl/WRcNs5mSd4h18fC67CvF\n+jX38ZWvfEWS9POf/1xSPOLiRz/6kSRp9+7dkkbmNVqzZo2kht/B3r17h31PlODdd98tSdqyZYuk\nhk8QvlGszxNZw/OEfhr4ILFuzfesS7O+zfMZY4wx5gJWpIwxxhhjSlKZIvXuu+/q1KlTYx5z5MiR\nMb8PIzrIFhtGA6K0cD3WOWP7LBHlFSPMfYKCBqncH08//bQk6dVXXx31+xUrVkiSnnnmmVG/D3Of\nhM9BJAp/iRSJRX6QPTiMfqQcO5X11xhjjJloWJEyxhhjjClJZYrU+++/X/cxIidI2T3OUpmN8aHi\n/Py/VTuPh7llUjt2x5QofK3wjYrlhgn3BQpzr4SkAjPxQcOnKlS4Uuc3xhhjLlWsSBljjDHGlKQy\nRercuXN1JaSsEpWX0Men1b4/KGpQNoM1vlbbt2+XFM+6G+52n8p6m8q0zucch1JXQYoxY4wxZkJh\nRcoYY4wxpiSVKVKjwS7vze7IHe5vBKFyxHEoMEX3YuP3+FxBs/si4QMVU5Ji0YYhPG9ehYzyn6h7\n8hljjDGdxoqUMcYYY0xJKlOkrrjiihHRdq2KDgsVG5SZMEqPKDl8pYoqUmQEZ8fxGEQn4hOWgkzi\nKENlfa74Xeq65I+66qqrSl3HGGOMuVSxImWMMcYYU5LKFKmPfexjIxSpUEnCR+gTn/iEpJGZt6Gr\nq2vY/8MoQJQuFCn2okNJCq+DQoUixPnDDOb4MoU+UiFcJ69vE+dtVqFDicqriNk3yhhjjCmGFSlj\njDHGmJJUpkhdfvnldWUo5puEgpJSSj7+8Y9LavgEnTlzZtTjyIt0+eWXD/uLIoUShe9Ub2/vsPOG\nihTKVyofVV4lClJKVJhJPUVMUQvxnnrGGGNMMaxIGWOMMcaUpDJF6tSpU/VoupgihYJEJvIYZ8+e\nldSIokspQCgzXB8fInyZiF5DsXr33XfHPB+/7xRhPqwU3B95oigf76FnjDHGNIcVKWOMMcaYklSm\nSL333nsjMoCn9oSLcfr0aUkNX6qU0oIvEL5D+Grhk8X1jx49Ouz8MVL3i88VSlBMgZs6deqw72PH\nEdWXFzKw40t2+PDhUY/zHnvGGGNMMaxIGWOMMcaUpDJFarT96Mpm8Ia8UWcch+8TihF5rdjrL+Wb\nBbH8TB/96EclNRQkng8fJ/7iu4Ry9K9//SvXdfPyzjvvSEr7jlmJMsYYY4phRcoYY4wxpiSVKVLN\ngC8VPkUoKShDeRUdlKJwT7uiGb5RngCFC2WL85IBfdq0aZIaiheKVCrPU1m4H6IQYz5YlGerFTFj\njDFmsmJFyhhjjDGmJONKkULZQUHBtyfcOw+Fh73xyJNEdF2oEMXOT74o/LVee+21XPd59dVXS2oo\nTDNnzhz2fUxZQjkjGhDCPQdjcN+xaL4Yn/zkJyWN3GMQTp06pcsuu6yujFmRqpahoSHNmjWr6tsw\n/4/rY/zguhhfuD4uYEXKJDczNp0lnGibanF9jB9cF+ML18cFKlOkbrjhBt14440duVZ/f3+u4zZs\n2NDR67WKZq+3e/fujtWFMcYYM5mwImWMMcYYU5JaVkHyoM9+9rN66aWXOn1ZY4wxxpjC3HDDDXrx\nxRdH/a6SiZQxxhhjzGTAS3vGGGOMMSXxRMoYY4wxpiQdn0jt2rVL8+fP19y5c/XYY491+vJGUm9v\nr5YuXarly5dr1apVkqQzZ85o7dq1mjdvnm6++WbnkmoTd955p7q7u7VkyZL6Z2OV/aOPPqq5c+dq\n/vz5euGFF6q45UnNaPXR39+vnp4eLV++XMuXL9fOnTvr37k+2suxY8d04403atGiRVq8eLEef/xx\nSe4jVRCrC/ePUcg6yH//+99s9uzZ2dDQUHb+/Pmsr68vGxwc7OQtmCzLent7s9OnTw/77MEHH8we\ne+yxLMuy7Pvf/372jW98o4pbm/S8/PLL2f79+7PFixfXP4uV/euvv5719fVl58+fz4aGhrLZs2dn\n//vf/yq578nKaPXR39+f/fCHPxxxrOuj/Zw8eTI7cOBAlmVZdvbs2WzevHnZ4OCg+0gFxOrC/WMk\nHVWkBgYGNGfOHPX29mrKlCm67bbbtGPHjk7egvl/siDG4He/+502bdokSdq0aZN++9vfVnFbk57r\nr79eV1555bDPYmW/Y8cO3X777ZoyZYp6e3s1Z84cDQwMdPyeJzOj1Yc0sn9Iro9OMH36dC1btkyS\n1NXVpQULFujEiRPuIxUQqwvJ/SOkoxOpEydO6Jprrqn/v6enp14xpnPUajWtWbNGK1eu1C9+8QtJ\nF7aJ6e7uliR1d3fr1KlTVd7iJUWs7N966y319PTUj3N/6Rzbtm1TX1+fNm/eXF9Gcn10lqNHj+rA\ngQP69Kc/7T5SMdTF6tWrJbl/hHR0IlWr1Tp5ORNhz549OnDggHbu3Kmf/OQneuWVV4Z9X6vVXFcV\nkSp710v7ueeeezQ0NKSDBw9qxowZeuCBB6LHuj7aw7lz57R+/Xpt3bpVH/nIR4Z95z7SWc6dO6cN\nGzZo69at6urqcv8YhY5OpGbOnKljx47V/3/s2LFhM1jTGWbMmCHpwqbPX/jCFzQwMKDu7m69/fbb\nkqSTJ09q2rRpVd7iJUWs7MP+cvz48REbZJvWM23atPrL+q677qovT7g+OsMHH3yg9evX64477tCt\nt94qyX2kKqiLjRs31uvC/WMkHZ1IrVy5Um+88YaOHj2q8+fP69lnn9W6des6eQuXPP/5z3909uxZ\nSdK///1vvfDCC1qyZInWrVun7du3S5K2b99e7zSm/cTKft26dfr1r3+t8+fPa2hoSG+88UY9ytK0\nj5MnT9b//Zvf/KYe0ef6aD9Zlmnz5s1auHCh7rvvvvrn7iOdJ1YX7h+j0Gnv9ueffz6bN29eNnv2\n7OyRRx7p9OUveY4cOZL19fVlfX192aJFi+p1cPr06eymm27K5s6dm61duzZ77733Kr7Tycltt92W\nzZgxI5syZUrW09OTPfXUU2OW/cMPP5zNnj07u+6667Jdu+tes7EAAACgSURBVHZVeOeTk7A+nnzy\nyeyOO+7IlixZki1dujS75ZZbsrfffrt+vOujvbzyyitZrVbL+vr6smXLlmXLli3Ldu7c6T5SAaPV\nxfPPP+/+MQreIsYYY4wxpiTObG6MMcYYUxJPpIwxxhhjSuKJlDHGGGNMSTyRMsYYY4wpiSdSxhhj\njDEl8UTKGGOMMaYknkgZY4wxxpTEEyljjDHGmJL8HyFOTlbukMv2AAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd621d25190>"
-       ]
-      }
-     ],
-     "prompt_number": 13
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['conv1'].data[0, :36]\n",
+    "vis_square(feat, padval=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The second layer filters, `conv2`\n",
+    "\n",
+    "There are 256 filters, each of which has dimension 5 x 5 x 48. We show only the first 48 filters, with each channel shown separately, so that each filter is a row."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
+       "iVBORw0KGgoAAAANSUhEUgAAAlIAAAJOCAYAAAB8y+mTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n",
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+       "WhtvpcoteI2gomKoaETF6FFMuWgoaY2paVrbNKmttrWttRFbQ1VEBZH7RZCLcO4zc94/Tj7Ps3+f\n",
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+       "i8T/A2aklexSCttuAAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd630658d90>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The fifth layer output, `conv5` (rectified, all 256 channels)"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "filters = net.params['conv2'][0].data\n",
+    "vis_square(filters[:48].reshape(48**2, 5, 5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The second layer output, `conv2` (rectified, only the first 36 of 256 channels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['conv5'].data[0]\n",
-      "vis_square(feat, padval=0.5)"
-     ],
-     "language": "python",
+     "data": {
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+       "RURERKSDKSVKlmX4/X74fD7s7u6aMQIRAECSJAwPDyMUCmF0dBTA57fGIpEIBgcHEY1G//g7dUR6\n",
+       "LS4uQhRFBINBbdv/5XBnZwc+nw9+vx/FYtGMkckCuuVyc3MTbrcboVAIoVAIhUJB22fFXBpeojqd\n",
+       "DlZXVyHLMiqVCk5PT3F3d2f0GEQAPl+ipigKVFVFqVQCAGQyGUQiEdzf32NychKZTMbkKemnW1hY\n",
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+       "hyRJ8Hq92g0A0d/ULZfAf6+ZgHVzaXiJajQa8Hg82n+3241Go2H0GEQAPu+qpqamEA6HcXx8MuSB\n",
+       "aQAAAd9JREFUDABotVoQRREAIIoiWq2WmSOSRfXK4dPTE9xut3Ycr6FktL29PYyMjCCdTmvLzFbN\n",
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+       "j7VCLg0vUS6XC/V6Xftfr9e/tFciIzmdTgBAf38/4vE4SqUSRFHE8/MzAKDZbMLhcJg5IllUrxx+\n",
+       "v4Y+Pj7C5XKZMiNZj8Ph0Er90tKStmRn1VwaXqLC4TCq1SoeHh7QbreRy+UQi8WMHoMI7+/veH19\n",
+       "BQC8vb2hWCwiGAwiFoshm80CALLZLGZnZ80ckyyqVw5jsRjOzs7QbrdRq9VQrVa1J0uJ/rVms6n9\n",
+       "vri40J7cs2oubYaf0GbD/v4+pqen0el0kE6nMTQ0ZPQYRGi1WojH4wCAj48PzM/PIxqNIhwOI5FI\n",
+       "4OTkBJIk4fz83ORJ6adLJpO4vr7Gy8sLPB4Ptre3sbGx0TWHgUAAiUQCgUAANpsNh4eHllg2IeN9\n",
+       "z+XW1hYURUG5XIYgCBgYGMDR0REA6+aS384jIiIi0oFvLCciIiLSgSWKiIiISAeWKCIiIiIdWKKI\n",
+       "iIiIdGCJIiIiItKBJYqIiIhIB5YoIiIiIh1+Ad4CxRoGhD90AAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd621d73990>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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yt+5vqjzedrnqrwQkQIAAIjEhRQAAEAkUntoq8MtKb3izJYeyDJE3m1/c+sivW7dujC2d+/eoqaT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\nCyXVb4j7xBNPZD6HVvn+Sr3QJ2l8fPy8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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd621d1b3d0>"
-       ]
-      }
-     ],
-     "prompt_number": 14
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['conv2'].data[0, :36]\n",
+    "vis_square(feat, padval=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The third layer output, `conv3` (rectified, all 384 channels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
+       "iVBORw0KGgoAAAANSUhEUgAAAlIAAAJOCAYAAAB8y+mTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n",
+       "AAALEgAACxIB0t1+/AAAIABJREFUeJzsnXmwZVV1/78t4IBoolFRmbqlabqBBoFuhqAFBBpsgxTG\n",
+       "ImpiRDEOIWUoLcuRxEfwJ21MaZwSE4eExCqc4gAkEhAbFLBpgZ4YuwUkCEqMZnCIcQi/P6jPO+9+\n",
+       "31u99zn33Htfw/r8c/vdPvcMezp7ffdaay944IEHHlCSJEmSJEnSmkdM+gaSJEmSJEl2VHIilSRJ\n",
+       "kiRJ0pGcSCVJkiRJknQkJ1JJkiRJkiQdyYlUkiRJkiRJR3IilSRJkiRJ0pGRTKQuvfRSLV26VPvt\n",
+       "t5/e9a53jeISSZIkSZIkE2dB33mkfvnLX2r//ffXl7/8Ze2xxx5auXKlLrzwQi1btqzPyyRJkiRJ\n",
+       "kkyc3hWp9evXa/HixVq4cKF22WUXvehFL9IXv/jFvi+TJEmSJEkycXqfSN17773aa6+9pv/ec889\n",
+       "de+99/Z9mSRJkiRJkomzc98nXLBgQfGYRz7ykfr5z3/e96WTJEmSJEl6Z5999tG3vvWtOf+v94nU\n",
+       "HnvsoXvuuWf673vuuUd77rnnwDE///nP9djHPla//OUvJUmPecxj9KhHPUqLFy+WJP3oRz+SJD32\n",
+       "sY+VJJ1xxhmSpEc/+tGSpOuuu06SdN999w18/sqv/IokaaeddpIkHXnkkZKkqamp7d7zr/7qrw78\n",
+       "/u6775Yk7bzzg8Xz9Kc/XZL0r//6r3P+nuPOOeec7V6P5/nxj3888P0ee+whSfqv//ovSc3zR3Cf\n",
+       "r3vd6yRJ73//+yVJxxxzjCTpe9/7nqQHJ6yS9LOf/UySdOedd0qS/u3f/k3Sg+XO/++888763//9\n",
+       "X0nSM57xjIHn2nXXXSVJp512miTp3HPPlSS5e51fr8STnvQkSdK///u/z/n/lCOfxx9/vCRNK5zc\n",
+       "3yMe8aCwetttt0lqJvOPetSjJM0uzyOOOEKS9IQnPEFS87y77777wPUiqC/u//vf/74kabfddpPU\n",
+       "tNP/+Z//kSTdfvvtVc8HO++8sx75yEfqJz/5yXbvI+Lggw+W1JQL9/eKV7xizuv1Dc//5je/ec7r\n",
+       "Ue5+f8B48d///d8DnxG77LKLJOltb3ubzjvvPEmaHlvawj393//938D3tLVf/OIXkppnWrt2rSTp\n",
+       "qquuktSMPcuXLx/4/caNGzvdD0RtZVTM1+vttttuevzjHz895reFvvvKV75SkvQP//APkqT7779f\n",
+       "UnnsjfD2AYxBb3nLWyRJH/rQhyQ1Y33tWNmWSdXfZz7zGUnNGHTIIYdIkk4++WRJ0qc+9SlJ0gc/\n",
+       "+EFJ0lOf+lRJTbkxUXnKU54iSXrBC14g6cFJjCQ9+clPlqTpOcY73vGOgd8DY8i3v/3tTs/zpCc9\n",
+       "ST/72c+mx55jjz12uo/PRe9LeytWrNC2bdv0rW99Sz/72c/0qU99Sqeeeuqs43bbbTftuuuu2nXX\n",
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+       "VOIHKWOMMcaYSv4PwNFhvU7XHUcAAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd63064ffd0>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The fifth layer after pooling, `pool5`"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['conv3'].data[0]\n",
+    "vis_square(feat, padval=0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The fourth layer output, `conv4` (rectified, all 384 channels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['pool5'].data[0]\n",
-      "vis_square(feat, padval=1)"
-     ],
-     "language": "python",
+     "data": {
+      "image/png": [
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd621d25190>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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E7FtJvVrx2ft2rVGTMu3v7/fiGn7PS8vz2q72udN3M9bTUFBgRGzPW9tc9Gm9Gu0c1nT3t5uxOrq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\nIqDoAAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd621d7cd90>"
-       ]
-      }
-     ],
-     "prompt_number": 15
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['conv4'].data[0]\n",
+    "vis_square(feat, padval=0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The fifth layer output, `conv5` (rectified, all 256 channels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
+       "iVBORw0KGgoAAAANSUhEUgAAAlIAAAJOCAYAAAB8y+mTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n",
+       "AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XuM3Gd1//HPEN/vXtu7vqzjTeI4xiShoSFQCUpTCBVS\n",
+       "GwUh0oYKIqBV1UoBmnJJ3RYGihRTFaFfC0H8gUQqJEjUKoR/QCFVSJXQYG5pEjuO7ZD1Zb273ptv\n",
+       "sZM4iX9/ROeZM/HXOzPPfG8z835JKF+eXe88Ozvzne/3nPOcp3Lu3LlzAgAAQMveUPQEAAAAOhUX\n",
+       "UgAAAJG4kAIAAIjEhRQAAEAkLqQAAAAicSEFAAAQKZMLqR//+MfaunWrLr/8cn3lK1/J4iEAAAAK\n",
+       "V0m7j9Qrr7yiK664Qg8++KA2bNigt771rfre976nN77xjWk+DAAAQOFSj0jt3LlTmzdv1tDQkObO\n",
+       "nas/+7M/0/3335/2wwAAABQu9QupkZERbdy4Mfz/wcFBjYyMpP0wAAAAhZuT9g+sVCqpfA8AAEAZ\n",
+       "bNq0ScPDw4lfS/1CasOGDTp06FD4/4cOHdLg4GDT/37hwoXh+MyZM6nOzVSr1cTjIjCXZMwlGXNJ\n",
+       "Zo9f1Dzmzp0bjv/hH/4h1bnYjWdMOWvRz4vHXJK1OpeLLrooHL/66quSpEWLFoWxBQsWSJKmp6fD\n",
+       "2GyvHft+Sbrjjjtamssb3vCGMJ+zZ8829W+aVaa/0bve9S49/PDDF/x66qm9a6+9Vvv27dPw8LBe\n",
+       "eukl3XPPPbrxxhub/vdnzpwJ/wOATnD27Nnwv7SdO3cu6iIK3emVV14J/7PXxgsvvBD+Z+xrjV47\n",
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd621d1b3d0>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The first fully connected layer, `fc6` (rectified)\n",
-      "\n",
-      "We show the output values and the histogram of the positive values"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['conv5'].data[0]\n",
+    "vis_square(feat, padval=0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The fifth layer after pooling, `pool5`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['fc6'].data[0]\n",
-      "plt.subplot(2, 1, 1)\n",
-      "plt.plot(feat.flat)\n",
-      "plt.subplot(2, 1, 2)\n",
-      "_ = plt.hist(feat.flat[feat.flat > 0], bins=100)"
-     ],
-     "language": "python",
+     "data": {
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+       "JJNJ2bt3rzQ3N3M8IjbX59O2bdvk2WeflcnJSTlx4oQcO3ZMrrvuuihTTb0oGrF+8IMfJFevXp1c\n",
+       "sWJF8qtf/WoUKSxoP//5z5OJRCJ59dVXJ9evX59cv3598oc//GGyp6cnuWXLluSqVauSLS0tyb6+\n",
+       "vqhTXVBaW1uTd9xxRzKZTHIsIvTWW28lN23alLzqqquSn/jEJ5L9/f0cjwg98cQTyebm5uS6deuS\n",
+       "X/jCF5KTk5McjxB9+tOfTi5evDiZk5OTbGhoSP7Lv/zLJff/V77yleSKFSuSa9asSe7ZsyfCzMPB\n",
+       "s/MAAAAcMLEcAADAAUUUAACAA4ooAAAABxRRAAAADiiiAAAAHFBEAQAAOKCIAgAAcPD/ADWWZox7\n",
+       "IqDoAAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd621d7cd90>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAJPCAYAAACgtar/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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4z4eneQg97Rk8YaSpqSP+cc+lmx+eVKtbu+Xeh+HP9Nzm7kk7cAZ5jhz+tx/v7RsWdqlSMfWrft+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\nvb29mRkQWbndL7/8cv/P119/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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd63064b890>"
-       ]
-      }
-     ],
-     "prompt_number": 16
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['pool5'].data[0]\n",
+    "vis_square(feat, padval=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first fully connected layer, `fc6` (rectified)\n",
+    "\n",
+    "We show the output values and the histogram of the positive values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
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+       "g4svozE4j5dsHvPkoibe4maDuegYV101vjbGNT6sPjFhn2yQZBUjwfaCAYxCYryEKKCAMxN0RG4i\n",
+       "MFPPH2MPPT3V3XU5p+pU9ef9evFipqfqnFNVp6p+fc6pUwXP8zwBAADAmP3SLgAAAEDeEGABAAAY\n",
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+       "unXrdPDBB+vss8/We9/7Xn3+85/Xjh071NXVpaamJklSU1OTurq6rBcWAAAgC+oGWHv37tWTTz6p\n",
+       "L37xi3ryySf1N3/zN4O6AwuFggqFgrVCAgAAZMmQeguMHTtWY8eO1fve9z5J0qmnnqqrr75ao0eP\n",
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd63064b890>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The second fully connected layer, `fc7` (rectified)"
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['fc6'].data[0]\n",
+    "plt.subplot(2, 1, 1)\n",
+    "plt.plot(feat.flat)\n",
+    "plt.subplot(2, 1, 2)\n",
+    "_ = plt.hist(feat.flat[feat.flat > 0], bins=100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The second fully connected layer, `fc7` (rectified)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['fc7'].data[0]\n",
-      "plt.subplot(2, 1, 1)\n",
-      "plt.plot(feat.flat)\n",
-      "plt.subplot(2, 1, 2)\n",
-      "_ = plt.hist(feat.flat[feat.flat > 0], bins=100)"
-     ],
-     "language": "python",
+     "data": {
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+       "GERyBQAAYND/B6hFJTD2mK/NAAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd6306fb450>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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/37n6R97zP5zE98oo7xIJvWCXOztt6XLL+/92bBhuT4cTjIZ6c//XFq/PtzYomC6nm64IdzOy6tX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\nAACAQSRXAAAABpFcAQAAGERy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-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd6306fb450>"
-       ]
-      }
-     ],
-     "prompt_number": 17
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['fc7'].data[0]\n",
+    "plt.subplot(2, 1, 1)\n",
+    "plt.plot(feat.flat)\n",
+    "plt.subplot(2, 1, 2)\n",
+    "_ = plt.hist(feat.flat[feat.flat > 0], bins=100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The final probability output, `prob`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7fd63060d990>]"
+      ]
+     },
+     "execution_count": 18,
      "metadata": {},
-     "source": [
-      "The final probability output, `prob`"
-     ]
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = net.blobs['prob'].data[0]\n",
-      "plt.plot(feat.flat)"
-     ],
-     "language": "python",
+     "data": {
+      "image/png": [
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd630627290>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 18,
-       "text": [
-        "[<matplotlib.lines.Line2D at 0x7fd63060d990>]"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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NqI2Z1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\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fd630627290>"
-       ]
-      }
-     ],
-     "prompt_number": 18
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat = net.blobs['prob'].data[0]\n",
+    "plt.plot(feat.flat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's see the top 5 predicted labels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Let's see the top 5 predicted labels."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['n02123045 tabby, tabby cat' 'n02123159 tiger cat'\n",
+      " 'n02124075 Egyptian cat' 'n02119022 red fox, Vulpes vulpes'\n",
+      " 'n02127052 lynx, catamount']\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# load labels\n",
-      "imagenet_labels_filename = caffe_root + 'data/ilsvrc12/synset_words.txt'\n",
-      "try:\n",
-      "    labels = np.loadtxt(imagenet_labels_filename, str, delimiter='\\t')\n",
-      "except:\n",
-      "    !../data/ilsvrc12/get_ilsvrc_aux.sh\n",
-      "    labels = np.loadtxt(imagenet_labels_filename, str, delimiter='\\t')\n",
-      "\n",
-      "# sort top k predictions from softmax output\n",
-      "top_k = net.blobs['prob'].data[0].flatten().argsort()[-1:-6:-1]\n",
-      "print labels[top_k]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "['n02123045 tabby, tabby cat' 'n02123159 tiger cat'\n",
-        " 'n02124075 Egyptian cat' 'n02119022 red fox, Vulpes vulpes'\n",
-        " 'n02127052 lynx, catamount']\n"
-       ]
-      }
-     ],
-     "prompt_number": 19
     }
    ],
-   "metadata": {}
+   "source": [
+    "# load labels\n",
+    "imagenet_labels_filename = caffe_root + 'data/ilsvrc12/synset_words.txt'\n",
+    "try:\n",
+    "    labels = np.loadtxt(imagenet_labels_filename, str, delimiter='\\t')\n",
+    "except:\n",
+    "    !../data/ilsvrc12/get_ilsvrc_aux.sh\n",
+    "    labels = np.loadtxt(imagenet_labels_filename, str, delimiter='\\t')\n",
+    "\n",
+    "# sort top k predictions from softmax output\n",
+    "top_k = net.blobs['prob'].data[0].flatten().argsort()[-1:-6:-1]\n",
+    "print labels[top_k]"
+   ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "description": "Extracting features and visualizing trained filters with an example image, viewed layer-by-layer.",
+  "example_name": "Filter visualization",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 2
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
index 03c811b..e98d13d 100644 (file)
 {
- "metadata": {
-  "description": "Use Caffe as a generic SGD optimizer to train logistic regression on non-image HDF5 data.",
-  "example_name": "Off-the-shelf SGD for classification",
-  "include_in_docs": true,
-  "priority": 4,
-  "signature": "sha256:741422697d76b1667287180dc7c6360cf105ee774b1e2def800dc8fe80f78f67"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "# Caffeinated Logistic Regression of HDF5 Data\n",
-      "\n",
-      "While Caffe is made for deep networks it can likewise represent \"shallow\" models like logistic regression for classification. We'll do simple logistic regression on synthetic data that we'll generate and save to HDF5 to feed vectors to Caffe. Once that model is done, we'll add layers to improve accuracy. That's what Caffe is about: define a model, experiment, and then deploy."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import pandas as pd\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe\n",
-      "\n",
-      "import os\n",
-      "import h5py\n",
-      "import shutil\n",
-      "import tempfile\n",
-      "\n",
-      "# You may need to 'pip install scikit-learn'\n",
-      "import sklearn\n",
-      "import sklearn.datasets\n",
-      "import sklearn.linear_model"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Synthesize a dataset of 10,000 4-vectors for binary classification with 2 informative features and 2 noise features."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "X, y = sklearn.datasets.make_classification(\n",
-      "    n_samples=10000, n_features=4, n_redundant=0, n_informative=2, \n",
-      "    n_clusters_per_class=2, hypercube=False, random_state=0\n",
-      ")\n",
-      "\n",
-      "# Split into train and test\n",
-      "X, Xt, y, yt = sklearn.cross_validation.train_test_split(X, y)\n",
-      "\n",
-      "# Visualize sample of the data\n",
-      "ind = np.random.permutation(X.shape[0])[:1000]\n",
-      "df = pd.DataFrame(X[ind])\n",
-      "_ = pd.scatter_matrix(df, figsize=(9, 9), diagonal='kde', marker='o', s=40, alpha=.4, c=y[ind])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAImCAYAAACB54oCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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/BsYjTWEwzvx+zUikQzBoItAYBQYobj4OhIRLz7VxtP7R7lm7Uz+n3vvPZ0qvJ2dO1vRNCeQRdNe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/d8upmnyxBMvUFHRjtc7d7jvdvtIJt08/fQO7rvvS/NlOzoWsGvXGVwu7/w1XdcwzRR1dXVv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l88ihsEVMgpkPMRTTWkECbBBo3AVUiJDEH2KRJBxWNLWbwSaGjISkQUiFmi2VC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\namtrqa2txefz4XA4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rl1lutEgm4pw54MHGN67nctvuIHv33sv6+UyC8tVZDkOODhOlUcf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BVY5ndSUlFDmdLKqvJxkTw8njh2bbfOuChRF4fXnn6daq2VhaSmlBQU0lJWRF4ux+803Z9u8\nOcvo6FQis/HxqYfkvBC5tPzDP0xF1dx1F8Ris23NPB9waP9+VCMjrCgvp8zppK60lGV2Ozt//etP\nFBE4V7nkYkQQBKcgCLvO+nkaQFGUvwWqgEcEQTjHi+j73//+zM/u3bsvtanXNAMDA1iyWQxnhcqW\n5+XROi9GLgqBQID4+DgFZ42AuJ1Oepubr4oO5WLz2muwYgVs2QIvvjgVOTPPpUUU4f/+XygpgU2b\nYHh4ti2aB6D16FEqzsqpZDEa0SWTDF8FjXTJnQEURfEC58ROCoKgVRQlDWQAGThn6Ob73//+pTZv\nnmmuFCfOea4NjhyBv/s7aG6Gp56CGz5d9PU8nxK1Gh59FH74wykx+Pd/P5Vq/yrznZ5nDjGb0zTf\nEwRhF7APeF5RlMgs2nLNU1ZWRkStJp5MnrG8b2KCRVd5TZPLhd1ux+R04p2cPGN5v9dL5ZIllz2n\nzFzj+HH48z+HJUvgC1+YCjVtbZ0XIrOFIEz5j7z1Fjz+ONTWTjkPd3RMORPPc3lZvGoVvV7vGcvC\nsRgpvf4jy3VcCcy6A+uFmHdgvfy0NDfz9vbtFIgiOrWaiUQCa00N9/7e7807sF4kRkZGeO7nP8eW\nTmPRagmmUiRtNh545JGPrI9ztfJBu7/6Kpw8CTfeCGvXzucOmWvs2wdPPgk7dkzVAKqrg7w8sNmm\nhIssT+UricWmfqLR3/7+4G+PZ2ofuDbu94tJIpHgmV/+kszQEHkGA4lMhgm4ahxY57QYmW0b5pln\nnnnmmWeei8eFxMicngGcq0LpSiYWi/HTH/yANQUFM2mGAU7297Po9ttZd911s2bb1f6mJMsy/+ef\n/okFgoD9tCIq3SMjGJcs4Y577plF62aPq73dLzWJRIL/84MfsNJux3haAsfmgQEW3HwzGzdtmkXr\nLsx8u197fJhv4lVYhWCeD2NwcBCrJJ0hRGAqaqbt+PFZsuraYHx8HDkUOkOIAJQ7nXQ2Np5RwXme\neT4uQ0NDmLPZM4QIQHl+Pm3zkXDzXCHMi5FrjAspU0VREOcjai4pgiBMTa6ff+XlNWaeq4YPvaev\nxqp381yVzH9TrzHcbjcRjYbYWVEz/T4fC1etusBe81wMCgoKUOfm4guFzljeMzpK3fLl8w+OeT4V\nZWVlxLRaoonEGct7Jybm7+l5rhhmszbNIuCngAS0Kory+2etn4+muUS0trTw1vbt5MNU1EwqRW5t\nLfc8+OCshpdeC3PIw8PDvPCLX5CTSmHWagmkUlBQwP1f/eqsVNGcC1wL7X6pOXXqFDufemrqnlap\n8KVSWBYs4L6HHroskXCfhvl2v/aYk9E0HxTKm/77UeA/FEU5cdr6eTHyKUilUqTTacxm84c6CwUC\nAdrb2qYK4lVVUVlZiWqWYymvlc4pEolw7OhR4pEIpRUV1NbWztkHxuXgSm/3dDpNKpX6yHvuUjM5\nOUl7WxvxSISyykqqqqpm/Z7+MK70dp/nk/NhYmTWomk+ECLTGIDgbNlypRKJRDi8fz+djY0ogkAi\nm0WORtEIAuaCArbefjuSJHGqqQlFUahdsoTq6mpEUcRut7NhuuxpMpmkq6uLbDZLSUkJmUyGQCCA\n1WqlqKhols/y0pDJZOjv7yeZTFJYWEh+fv55t5NlGY/HQyKRoKCg4JxcIB6Ph+YTJ0hEo5TX1LBw\n0SJ00yn1M5kMx44cofnQIbKZDLXLl5PndHJ41y6iExPIgoAsSSxYsOCSn+88U0L96JEjtBw+jCLL\n1K1YwZp16zAajZ/q89LpNLveeosj776Lb2SErChy/e23c8fnPnfBz1QUhbGxMcLhMHa7/Zzv3cjI\nCD6fD7PZjNvt/kRiIjc3l+s2bPhU5zLPPLPNrOYZEQThTuDvgKOKonzlrHXzIyMfQjwe51c/+Qnm\nyUlK8/I4tH8/nuFhCmtr2bZ2Lb5QiFePHKGooAAzkMpkUJvNVK1fzx2f/zyRSAS1Ws3Y2BivPfUU\nxnQaJImDp05hM5lYWFFBTJaxV1Vx9/33f+oO+5Nwud6URkdHeeGxx9BEImgFgaAsU7t+PTffdtsZ\nfhuBQIAXnniCjNeLVhCIAIs3bmTrTTchiiLHjhxh74sv4tJq0arVdHq9iIWFfPOP/giTycRzTz5J\nsLWVBQUFqFQqWnt62NfWxhe3bsXlcJCVJDo9HsTKSh78yldm3qo/eGCl02kKCwtnxM2HIUkS4XAY\nvV6PwWC4VJfuknA52l2SJJ557DGS3d1UFRQgCAIDExNki4r4vUce+VjX+Gxe/PWv6XnnHdIDA9hE\nEX8ySWsoxMKbbuKPv/c9rGdFTcViMV565hkme3tRZbMEMxmqV69m5bp1yLLMkb17mejsxCoIJBQF\nVUEB9z788FVbzXl+ZOTaY06OjAAoivIK8IogCP8uCMJnFEV56/T1p9em2bJlC1u2bLm8Bs5hGk+e\nROf3U+d2EwgEECMRri8v5/joKN7JSTSKQqKnhzePHqVApUIHBFUqDp48yammJoyKQjKdpqO7m7tW\nrcJVWMiR1lbc8Ti6RAJXfT35+fmc6u/njR07uPsLX5jtU74oSJLES7/6FVWiSL7bDUyNfhzdt4+m\nkhKWLV8OTAmCF598krxIhNLp7SRZ5uju3TgKCqiprWXPK6+wxuXCGwhw8NgxtOk03hMn+NvhYe76\n0pcYb2tjbXn5jMjQJpOUpFJMhsO4HA7UKhULy8o40NODx+OhpKSEiYkJXnnmGRJjY2hEkaRazcZb\nb2Xl6tUXPKeW5mbee+015GiULFC9YgXbbrkF/VmhntcyPT09RLq7WX1ayd9FZWUc7++nvb2dZcuW\nfaLP8/v99B0/jjw6ihZo8ngwSBKWTIYDL79MRW0tX/ryl8/YZ+fLL5Pq7ibp8zHu8RBNJHjz5Zep\nW7QIm9XK6PAwn7vxRsqcTmCqTMCO557jS1//+u949vPMM/eZNfd9QRBOnyQPA+dMmp9etXdeiJzJ\nYGcnRo2Glt5eTnR0kEwmEQQBiyzTMTjIqa4uOoeGqEsk+KzDwQ0OB1t0OkaOHmXs6FE2lJVRo9Xi\n9Pk40thIMp2mt7eXGrsdh16PZ3AQgBqXi4GmJqLR6Cyf8cVhcHAQIRQi/7TpFlEUWZCXx8kDB2aW\njYyMkBobo/S0YXSVKFJbUMCxvXsZGhrCKssk02kOHTpElSCQAxSo1SRPneKZn/8cUzZLJBIhEAiQ\nzWaJTE5SmpPD2NjYGTaZBYFgMEg2m+X5xx8nPxJhvdvNqtJSVjkc7H3hBfr6+s57Pj09Pbz95JMs\n0um4rrSU61wu/MeO8epzz13cC3eF4xkcxHEevxyn2cxgd/fM/4qi4PV6GRoaIpVKXfDzgsEgxOMk\nYjG6h4dZqFZTZzRSpdWSF43y9H/9F4FAYGb7cDjMYGsrw4ODiKOjLDabkf1+bjQaob0drdfL9XY7\nBw8dIhSLAVP5ZyYHBvD5fBfxSswzz9xkNkdGPisIwp8yVa23D3h9Fm254vCMjtK1axeVZjOpRIJT\n/f2MBoNMhkJY43GGx8cRolGKT/P5kNJpFokigyMjAGQliRKzmYlwmEGvFyQJjUqFRqUiMd0Ri6KI\nWhBIJpOYzeZZOdeLSTqdRnseJ0OdVksyHp/5P5FInHc7o05HfHISURSRBYHuwUGM6TTHRkawZDJo\nZZmEIDAeiTApijTk5aECsmo1skpFNBbDWlp6xmfGFYWcnBz6+voQAwGKp0diAPRaLeVmMycOHqSi\nouIcew6/9x7VNhuW6Wk0tUrFotJS9re3Mz4+TsFZJcevVYxmM0lJOmd5Ip0mPycHmJqWe2X7diLD\nw2hEkZRGw6bbb2f5ihXn7Ge1WokrCmPBIEXT90jX+DhKIkGBSkVqbIwf/s//yZ/+1V9RUFBAMpkk\nGg6TnZyk3G6na2ICuyxTaDIRTSYJTEyw1OkkP5Wid3iY5bW1AGgEgXQ6fWkvzjzzzAFmbWREUZRX\nFEXZoijKZkVRvqwoynz6yY/JxMQE0ZERSnU6yqxWFrlcVBuN9PX0kFWr2VRcjNtgwCbLBDOZmf3S\n6TQmtXpmnjbXZiMGGIFUOo3GaMQfjxNKJHBMi5hoIgEGw1Uzb11UVESIKSF2Oh6fj8qFC2f+dzqd\nRAThnO1G/H7K6+pwu90ktFr8k5MMjo9TpijUmExYRZFVJSWY/H6GJybIMxopt9spMxqJ+f0cDwbJ\ns9tJptNkJYlTw8NYKyooKSkhHo9zPs8Fi9FI6LS37NPxjY5iPyskWBAETIJA6Kx8JtcydfX1+EWR\n8PSoA0A8mWQsm2VRQwOSJPHcY4+R4/dzndvN6tJSVubmsufZZ2dGpRRFIR6PI0kS+fn51Kxdy0gy\niSBJjIZC6FIpjCoVNrOZGpcLWyzGa9MjVHa7nRignf4+JdNpDKJIMpPBYrGg1emYjEYxqtXEpm2M\nJZNkdLoLOlfPc3UxPAx/+ZfwF38B0wPT1xRzujbNPOenu7OTKpsNw8qVdDc3o5NlQpKExWBA0GoZ\nDocxOxwIOTkkEgm84TAGjYaELOMXRcorKwGw5eaSV1bG6wcOYEkmUdJp9g0OUlFSwkMOB2OBAN2h\nEFu++MU5HSL4SbBarazcto3DO3dSabNh1OkYmZwkaDJx62mRCBaLheVbtnDkzTepyc/HpNczGgjg\nURQe3LwZnU7HLQ88wL/87d8yHgiwODcXXyyGPicHUaslXxBQ5+fTnslgiscRgXFRxFRZyWtHjyJH\nowgGA+tuuYWvPvAAgiCQn59PmKmH3ukhot7JSUovUDMov7gY/+goRQ7HzDJFUYgqyjVbBfh85OTk\ncNtDD/H69u3o/X4EIKbRsO2LX8TpdNLT04Ps81F22qiUQaejwmLh2P79JOJx3n/jDRKBAIJWy/JN\nm7j985+nra2NY088gSkSoUSrxWC1YrTbSVmt1LrdDI2M4Pf7cTgcbL7lFrYfPUqJyYRJr6cvmUSl\n1WIuLMTmchEIBvEGg9RVVzM8MUF/NMqWL35xVnP/zHN5eOcduP9+ePhhUKth3To4cABO+zpe9cyL\nkSuQbDaLKAi4Kyqw5+XhGR7GEw5zXVUVaaeTtUuWYNDr+YUkMdbRgdNiwWqxIBsM9Pl8bJkuNy3J\nMpOiiGIwUONwYNRoWFVfT+foKC82NbFhyxZuv+8+qqqqZvmMLy7Xb96Ms6iIkwcO4A2HKb/+em5f\ns4ac6eH6D9i8dSuOggJO7N1LJBTCvWQJD27cOPOmWl1dzbf/+3/nbzo6iKtUuPLzMRqNdHg86A0G\n8u127ty2DX84TDqdJtrSguT18vC99yIoCtFkks6JCTweDzU1NbhcLlxLlnCysZGaoiJ0Gg3DExNM\naLV8du3a857Lui1beOmnP8Wg02Ezm8lks7R7PJQsWTL/Rn0W1dXVuL/7XYaGhlAUhZKSkhkn31gs\nhuE803JWo5F9ra14WlpYnJ+PrayMZDpN6xtvkIjF+Iu/+iv+t1pN20svUeJwoDca8csy+rw8ivPz\nGR4enqk59NlbbqHtxAk6Dh7EolaTdDiIqFQoajUr6+sZ9vkY9PvxarVIVit3PPAAldMvDvNcvezd\nCw88AM89B5s3Ty2zWuE734FXXpld2y4nsxra+2HMh/ZeGI/Hw3P/+Z8Iw8N0HD+OKp0mFI8TU6u5\n8/77WTQtHmKJBP/1m98gZ7PIkkTdihV85q67GGhvxz88TDyVou3UKVY7HNRWVZGXn48oikiyzP7h\nYb763e+eE554Pk6dOsX+/ScIh2PU1rpZt27Vp5rWuRJD/RRF4d///u8RurtJ+HwIokhOfj7dp06R\nV1PDoupqdh1uorW9i7BviFXFhZRVVdGwahUarZZT3d0MGwx860//lJKSErLZLIcPHuTEvn2k4nGq\nFi9mww03nCEsgsEge3ftoquxEbVWS05xMVGvl3Q4jKJSsXDNGrZs2/apwlVng7nQ7qOjozz3n//J\n+rKyM0aluj0ejo2Pc2NlJXmnidV0JsOzR46gLyxjMhRnuKsVSyxImdNJRXk5S6qriSUS9AgC3/iT\nP6Gzs5NDu3bhGRzEHwigV6uxmkz4IhGMej02mw2V2Ux8YgKHRkNWURDtdj734IMUFhbOxiW55MyF\ndp9tenpgwwZ47DG4+ebfLk+loLYWnn0WPiSQ7opjTmZg/SjmxciH81ff/S7Hn3iC1TYbBq2WrnCY\ntnCY9YsW8cD995NIp2kbHaVq0yZuuvVWYCocsbenB4BwJMKb27fTsmcP661WRJOJXLebFWvWoFar\nOT48zM2PPEJZWdmH2vHee+/z+usnyc2tQq83EQiMotf7+eY3H8But3+ic7qSOqexsTEGBwYQVSq0\nWi27nn+eAkXBajQSiMXY19mJVaOlfyhFaDQLikTE38HyQguLKwroDwaxmUzkaDTsDwQoqqzEWFLC\nrXffzZKGhgvmdYlGo/zqxz/GHo3idjrJShJdo6NoFyzg9nvuwWAwXHHZXOdKuz//zDNMNjZS53LN\njEoNSBKhcJjb6+pmtstmMrz37ru8drgZS8l6rGYn3kSEVMbDTUucFBr0eEZHCRoMfOmP/xiNWs2u\np5+mzuHAbrEQiERoGR9n4z33sGbtWgRBoLe3l1d/9jNWFRfPVNTuGBri5OQkdz/4IDW1tThOm4q7\nGpgr7T5bTE7C+vXwR38Ev//7567/4Q+hrQ1++cvLbtolY87mGZnn05FKpRg5dYr1CxeSTqWIAMtK\nS1mUyfD28DAvt7ZitdsRTSaaDhygu6UFTU4O4f5+8kWRVCrF06+8wjKLhSKNBqJRiMcZTyQYdDqp\nqKwkJkkfWSslEonw9ttHKStbj1o9Na9dXFyNxyOwd+9B7rzz1stwNS4viqLwzhtv0LZnDw6Viqws\nMykILLvxRpBlAl4vVW43N3/nO/x/f/mPeOMRskoEhyMHtSqMXmukf8xPIjhB5YIFZGQZKRymPBik\na3iY3ZEIxysquP+RR847utR48iTGYJAs8Jtdu4jH4+Tn5yOFwwRuuOG8ETfzfDzuvOceDhQWTo1K\nJRJULFzIAzfeyMtPPUUwGsU2HU3W39dHf3sPelMhNaV16LUGCtMp2n0G3mptoSFfT3FeHoscDt57\n4QXCySQ3lJVhnk5Gl5eTw0qNhuN79rB6zRoEQeDkoUNUWCwzQuRkZyddbW1kQyEOShKH7HbW3nYb\n68/jOxQMBtm3ezcdJ0+i1mhoWLuWdRs3zueZmcNks3DffXDrrecXIgBf/jJUV8NPfgLXQlPOi5Er\nkMnJSeR4nCqHA8NZzm1l0SifufdemvbsoQQodrkY9/l49bHHqF64kEVr1nDg+HEqslkMqRQOp5PR\nsTFqtVr8oRA9HR1MKgqqoiLGxsbQaDQXDOkdGxtDUawzQuQD8vNLaG09wZ13XqorMHv09vbSvns3\n68rLUU1na02m0xx55x3+nz/7sxkB4fV6cRZVISoC0cFujDoN40oB/lgAJRShWJwKKz02MkKD201R\nbi6o1WRkGXssxp633+Zz9913zvE93d2Mj48TGRpigcWCMScHfzDI0e5umhob58XI74BGo2HTli1s\n2rLlDCfidVu38t7TT7Nco8Gg09HX1cVoMo2tpAq9dkpg6LU65EgcnaLlrs2byZ0W8mOBAE/v28et\nZ6X8txiNREdHOXr0KFarFb/XS+X0E2d8cpLu1laW22xMACV5eTgLCzm8YwflFRVnlGiIxWI8/bOf\nYY9Guc7pRJJlunbtwjMwwANf+cp8Jeg5yl//NQgC/K//deFtCgpg2TJ46y24447LZ9tsMS9GLoAk\nSfT19REKhbDZbJSXl8+ZiBKj0YjRbmc8FsN9WsREKpMhplbj9XhwyjJulwuASCDAstxcBkdGCITD\nTIyOYtJqyRFFNIC7tJSW0VEiqRTe3j4K9YWUilU8+eQBRPEN7rjjelavXnmOHVPTAefmQEink5jN\nV1ZK8o9L64kTlFksM0IEpnKBOIDmpiZy7XYymQxWq5VIJEBH7wj+wRAWQw6yIuJDJJtJMkkKZyaD\nw+GgdjoXiAAosky508nepibke+4552GiMZno6upim8uFenpdgdmMKxiku6UF7rrrcl2Kq5rT/UYa\nli4lmUxy8M03EdNpmiIREjYHCwprz9gnGgxSUKhBo/5tt2q3WECS8Pn9OE/L+dLc28fbBzoYiO0l\nHo/j93WyqkDHrWtWMzg6ilOtnsr3w1QEmFajoUCtpqOt7Qwx0tTYiCkcZsF07hoNsMTt5nBvL319\nfVed8/nVwEsvwVNPwdGj8FGPlM9/fmr7eTFyjRIKhXjssWfxeiWmsnDEKC7W8fDD982JxF9Wq5X1\nN9/M7scfRyUIOM1mouk0+4eGaLjzTsLj49ScNsQvSxJqUcQmSUxGozjMZgYFgYyioJJlqvLycNvt\n7Dx1CkPhItasfwCDYeo80+kkL720l+LiIlzT4uYDSkpKyM0VCATGsNunnOxkWWZ8vIt7772KvK5O\nI5tOoz3P2+aYP8Dux17BWbgIQVAjy35OnDiGKK7GmFsKqRQWfQnDviPUVJRi1Wu4e/Nm2vbvB6br\n0aTTLC0pmZpHF8WZB2I6nSaTyWA0Gil2u5EzmakIjWk7IvE45pwcMqfl0Jjn4rJm7VqWr1hBKBRi\nwdq1vP3EMwTCoxTap0aiUtkMoWyE60sLZqZjAFQqFZb8fE6NjJCfl4coioxPTvLsnnZU1kX09kpA\nLolELY83v4ZWPVW6IZvNMuj3Yy8tnYny0qhUZE/LGwQw3NND/nn6JJsoMjY6Oi9G5hijo/CNb8Cr\nr8LHCXa7+Wb4l3+59HbNBebFyHnYseMtJietuN2/vZE9ng5ef/0d7rvvc5fFhmQySXd3N+FgkHyn\nk8rKypmRmXQ6TX1DA80NDexuaSEyMEA0EqGyqgp1NsvY+DhFFstv56idTlq6ukgw9RbvrqxkoLeX\no14vy/Lz8UajjMXjjOj11NdumBEiAFqtHq22iMbG1nPEiEql4qGH7ubxx19gYGAYQdChKEE2bKhl\nxYrlF/2aBAIBerq7kSSJispKnNM1PD4ukUiE9rY2oqEQxW43VVVVqNWf7BZYsHgxB5qazsjrEU0k\neLdliPWf+TqFhcUAjI8PEo0eIy8vg8ZuJDSZYjg0hDEnl9Kltdx2yyY69+7FL8vI4+NERZGc0lJK\nCwro8nioX72aZDKMaeRFAAAgAElEQVTJu2+8Qefx4wiyjLmggGXXXUfhwoUMjY+jzmaRFQXBZKK6\noYGJjxH5NM+H84GTtyRJlJSWEolEGB0awmKzUVdfT15eHpu2bqW7vR3v2+/TMTiGjJmIFGH5dS7K\niqaEg6IotPf3c6yxkXA8TpdGw+D+/Sx0uzne3Y9kLkeWc8l3VEyLziIUJcW7vS0sry3Gn05z08qV\nuKen3RRFYSyZZGXtmaMxVrudUG8vZ+fZTcgy5o/w+Zrn8qIo8Ad/MCVGLhCpfw61tVORNX19cLXP\nwF5zYkSSJJqamjl2rA1Jkli+vI5ly5bORCBEo1Ha24cpLd14xn5FRQtoatrLnXemLnnIpNfr5blf\n/hJ9OIxRFGmSZd53uVi6bh39XV0cef99irVaGiwWPOk0Xr+fpRUV5NlsFEkSXX4/u/v7uXvDBvRa\nLXl5eWRtNvonJlguy4h6PXJBAeacHLIOB72pFJmiIupsefT2jiBJbbjdpTMOrBqNnmg0fl5bnU4n\nf/InX2dgYIBEIkFhYSF5eXkX/ZocOXyYfa+8gl1RUIkih2SZpTfcwJZt2z7W/v39/bz82GPkZrMY\n1Wq6du/mkNvNfQ8/PFPlNp1Oc+rUKUb6+7HY7SxctOgcJ9L6+npa6+o41tFBcU4OWUniYG8vtqIl\nM0JkcjLI0QMHCPvSqLOjuKvKaGiox+ncjE6nIZls4eZbb6V+8WL27d7N+2+8QbHZTEJS+PeX3kJj\nt/H1W/L46X/8B+NHjlFgtFDsykcXibD3pZcoXrgQi9NJgcmEShQxmc0cHxpi7e23X9yLfo3xm1de\nYccTT2FKpLHmmOjwjlGen8/y2lqGMhkO7NzJ7Q89RH93N8lgkOIyJx6vl5I6N/d+8Q+or6/nuSee\n4OjAAF6Ph5PHjmHVaFi/bh21lZW0DA2hdrsxxhRGWkcxGrOYzXGMRhMAFosDs7mSL3/7EdoaG/Ge\nPIkhGERRFIYiEUpXrqT8tEJ/AA0rVrD9wAGcicTMy8dEMEjMaKRmOp/QPHODN9+cio555pmPv48g\nwA03wLvvwte+dulsmwvMWmivIAhrgX8GZOCIoih/etb6ix7aqygK27e/wMmTEzim30j8/kEWLDDw\n8MNfQKPREAwG+dGPHqesbMM5+w8O7uF73/sGJpPpotr1AS0tLRzevZvdr79OicnExpUrser1jHg8\nvLlnD6q8PPJMJoSxMcwmE+OA1NdHkUpFymik3O2mPRbjug0b2NXTQ7HLhUUQyMgyhqIiSqqrObp3\nL/FIhLoVK9DpDXR19KLXqxkZi5JKWWlr82A0LgDCrF/fQH5+Pv39x7n//rU0NDRckvP+gAuF+vl8\nPp74l39hdVHRTLRBVpI4PDjIHd/85jkd9Nlks1l+8qMfUa/VzkREADQPDFA+LWhisRhP//zn4PXi\n0OuJZzKMShJ169djy8nBWVg4MzqVyWRob2+ns6kJtVYLWi2HD4coL19MIpFg12uvkfSP097fgdVU\nRF15CSq7nY033sjExABr1uRy222/TSoQDAb5px/9Jx0dYbQaAxrS9A93IY10cuPC61CrtSSTISwW\nmbKacqipITAxQdfR42hkGZ0jly2f+xxbP/OZM3wdrhTmQojnO++8y3/8j39ksa0Mo95I+0A7xugI\n5aUuVm7disPhwB8O81p7O/V5eSx1u9Go1cSSSV49coSYIIAM5rx8VBqR9154gWUmEzUlJSQFgbBW\nS0N9Pc8cOEFB9SZ2725Cq10OZCkvL8Jmy8HvP0lFhZFvf/sO6urq6Ojo4FRjIwD1y5ZRW1t7hg+R\nz+ejp7ub3p4e+pqbsavVyICYm8sd999PcXHx7FzMj8lcaPfLhSzDihXwN38Dd9/9yfb96U9h376p\nXCRXOnM1tLcfuEFRlLQgCE8IgrBYUZSWS3rA/n4aG8eoqFg702lbrQ56eo7R0dHB4sWLycnJweHQ\nEw77sVp/OxQ/OemluNh+yYTIgX37OPrqqxTrdNRLErZ0mt+89hpWtRoxGkUZGeHU0BD2nBweWLoU\nbzTKRFsbC7Ra7AYDg/E4akGgRK2mZ3CQ6uJibnvkEQB0Oh3JZJKXf/lLygUB0WLhpcefJyQ7WbHu\nBg4ePkEiEWHbttXE4xlGRsbRavM4dOgIixYV43ZrqTstz8LlprOjg3xRnBEiMFUQzmUw0N7U9JFi\nZGRkBHU0iu2snCkLCgs5efQoW7ZtY/+ePQgjI1S7XBh1OsLhMN27dvH8/v1s27CBFlnmwGkjKQ0N\nDTPirLe3l337nkeWJbq7upjo66NUr6fYKJPMDjDUn0Dtz6Ep30RFhZbrrrv5DDsGBweJRE0YJC+5\nMT8GlYaeviGITpJOJ8mxOjAZLfgDo0T8k/QcPY5ocqNybSIry0hCHK8vjCzLc8bJ+koikUjw1BMv\n4jYXkZc7NfWXTqcoU+cghSOMeTw4HA5Mej0TnZ3cVFFBatp343hrKxNHj5NMKdgLauh4r4Xu2Ci1\nWigzGFCCQRZUVDAejfLm7r3odYVUV6+gt7eX/v5uzOZq+vu7KS7WUViox2bTUFJSgkqloqamBq1W\nSzwex2aznSFEDuzfz6HXXiOPqQ5eD+QuXMjGzZspKiqaj6KZY7zwAuh0n86/fO3aa8NvZNbEiKIo\n3tP+zQDZS33M3t4BtNq8c94eTSYnHR19LF68GEEQuOuuz/Dooy8Ti7kwm+1EIn5gjAcf/PwlsSuZ\nTHLorbdYU1rK5OQkg34/A+k0w6OjqHJyGAtmiCYsRCU1neOT+Ly7WFyQS3YyiFdUkwlGGVeBNDJC\nPJ0mHA6zwGqloKAAg8GAoij89J//mXqzGYfVys7DjdgM9dgEA76xSSTJjtVazcmTh9m06bMMD3fT\n39+H39/Dhg0r2bZt66wm0spmMqjO88avPo9D3/mQZfm8IwaCICBLEuFwmO2PPoo1EqGzqQlZq2V8\nZIQcWUbUaNBqNKwuKqJ1cJCdO3ZQVVuLSqXCZDLx9tv76O+foL+/i/f3HCE4GkMTT9Cvz5KRQ9iN\ndgJxH0PDXRRPCnzzH//tnKmf9vZe/CNDlGYzFNgLCYXD5BvyCcYDePpayctzISBgsdhp7GzFay1l\nw6Zl+H0ewj4PGoOZgwf7Wby49ZKPXl2NjIyMkM1o0KmnvuPJVJxEMgpqHeFQFCk71TUlUimikQhv\n7t2LQaUilsnQ3tlJeUxNWBEZiXgozrWTiI3TH46Qp9OijcfRWSzkOxz4mjsw1lRiNFq59dYH+M1v\nnmR09DiSlKWwsAGn08hNN60gJycHn8/HY489RyAgIAh6FCXE0qVlfP7zt+P3+zm0YwcrCwsZ8fsZ\n83rRa7V0HTjA+o0bzytEJiYmOLR3L33t7ZisVlZs2MDSZcuuyJG0K5F//Vf47nenpl0+KYsWwdAQ\nhEJwVsWKq4pZ9xkRBKEByFcU5dSlPpZer0OWz314ZbNpjMbfhshWVFTwne88yOHDx/F4Rqmvd7Jm\nzY2XxBcCppzm9JKEoigcbGxEjERwATbg1WE/MbmCKrWJpCKRlacKtgUne7GIAg5nOQMRH/3JOAui\nUey2HCSdjvHRUfx+PyUlJUxMTJAJBnGUlpKVJPpGQ+TnVIEAnWOjpNMK2axCNNrPxMQw5eX1lJfX\nMzi4lw0b1s968qSKqioa33yTKlk+o6MdiUa5YdGij9zf5XKR0umInjavnpUkujweajZs4NnHHsPi\n97OmoABfLMaBlhbSgQALXC7iwSB7DhzAftNNJKJRXvynf2JRbR2pbJbGoUkWrvg8NTXrGOkZoVjq\nIxlpxS4IBOMq9MbFVNndLHAIdPp8ZKQ8BgYGz8lMq9WKRMYGyCudck4UBAGTxsCk3kwwFiKRjGPU\nm4gkopyaDKASKnjhFz8iT05R5ixC0OsYS0TZsUOcFyOfArVaTY49D58vACPdxMeH0ScTDMfGUIQs\nS6e/Mx1DQwTGx9lQWEipxULv0BAdXh8ThiJErQmjYGIoECARj+CQs8SCQbJqNe+fOsVNK1YQySQp\ncS9Co9Gi0Wi5++6v0tfXRmvr+2zc6OaGG65jwYIFKIrCU0+9RCrlwu2emmpRFIUTJ05QVHSQnq5O\nOo8fZ4/XS54oUldQgKxSMRwOs+PFF/mDP/qjM87P5/Px9I9/jEtRWOFwkEil2L99Oz6vl22f/exl\nv97XGkePTomJz33K2Ae1GpYvh2PHYOvWi2vbXGJWxYggCHbgP4BzszsB3//+92f+3rJlC1u2bPmd\njldfX8vOnYdIJuPo9VPptjOZNKnUKA0NZ2Y2LCgo4PbbL8+NajAYSCkKPR4P2kgEs83Goc5OUokE\nyYwBgwrGUikKgbQgIGPCr2iQpThvjfQgiwIVgkggEsWXTLBgxQpuqKvjrZdf5ivf/jaCIJBKpxmf\nnER7VpK0QHCUUDJLOGxDEFS8//4+GhoCOBwFlJXZP1WNmY9DIBDg+PFGRkd9uFz5rFix9ILblpSU\nULVuHYcPHKDEbEYligyHQuQtXkx1dfVHHkur1XLTvfey88knsWWz9A0O0jcwgGI0slivRwwEWLF4\nMb7ublpHR1mk1eKRFXrHA+gsJoplmad37qS5pY1QTEM4WoRGb2LEL5HJHCAWm2CwZT+GdJJSETKZ\nCGm5GJMGgskkGiCpUlFYWMeePUdZvnzZGfY1NCwingzQ1t9GLB5EpdIQTqXJN1mZ0JloCvkxxCOM\nhMYw51rwDp6iJBHDrjYSGhihuLKKWqOFrqOHyGQy81VePyHFxcUUFVk5PmhivOMYC612SnLyOBKb\npMhiormpiZCisH3nTspzc+no6qJTrycdS2AV1fTGJzCLVuxSgmDGT34GEiozGSWXWHSSRGyCp44c\nIXdxA6JGpK+3BUmWCPs8DHcchdQoh9+IE/EOsunmmyksKsLrTc4IEZgSqIWFNfzqseexRUbIer0o\nvgBjkoqAP8TWJfUssVho3b+f2COPnDGdfPD99ylSFCqm85PotVpWGo0c2LePVevWzVd3vsT87Gfw\nrW9NiYpPy+rVcPjwvBi5JAiCoAaeAP5cUZTx821zuhi5GNjtdu69dyvPP/8OkpSDIIhAkDvvXH/R\nnb2SySTj4+M0N7dx8mQnkiSxcuVCNm26DovFgizLDAwMcOzYCWKxKDFRpL+5mbTPhzmZZIvLRefA\nAEpWYEwaJyrZSar0+KUEZnzYyOJAJECWsCxQIGoQFcgIAt6uLjobGxGrqwmFQjQ2trC7aYijqVEM\neogngyjKCMmMQiAaJS9/EZHIMKIoolZXcvDgQW64oYp77vnWRb0mHzA0NMTPf/4CslyAyWSjq8vD\nvn1NF9xeEARuueMOuurqaDt5krQksXHJEurr6z+2j0RdXR22b3+bf/27v0OfTnPnpk2UuFwca23l\nRFsbS2+7jf7BQUKBAPqkTDytJSBpKMx10doxyBHfEIasngVGC+nxXgYlNaKpgd7WvSQH9mJNBCnR\nG0iqNAgqPeGkjkA0SlajQa3WENFZ6Onx0d5+EptNy8KF9ZSVleF0OrHZbORYRNJdzZSb80jLUVLp\nSXwCTIpOkjEZozFOjk2kPKui19uO1eBCLaeRJImO1ibKFhRRUe3A4/F8pA/NtUAkEqGrq4tMJktZ\nWekZicLORq1W89BDn6P58H50eU66o2Gy2STLljWwYuUyjnd1cWxkhJV5eVzvdjPh8zEyPMyOsTGU\ndBaTIpJVvHTJWXKkBGnRSEY0I8gq9GoHitrCmJKgUFAYO/kKoZTAkN+HJZ3AYdCwsqKMWCBA46s7\nGGtpwb1+PaJ4btJASVLo7+jkS+sX8devH0SUS9GJVpLZCN0He7mpzk6F283AwAALFy6c2W+gs5Nl\nZ9W1UatUWBQFr9c7L0YuIek0PP88HD/+u33OmjXw619fHJvmKrM5MnIfsAr44fS85fcURTl4KQ+o\nKAp6vY6ysjyGhkaoqCji5pu/+KEd1SdFkiR27drDe++d4NixDiKRNA0NK6irW82hQ4N0dj7N1752\nPy+99Do7XnwLZcJHjiKTUCL0B73YgkE25eaSFARclZWMdQ1TkIKkGCehaFALASoVAZUAhYKaqAxN\nyGhUWvLVIqJaIZTN0tPcTDQa5Z//4Qec6kmzdOU9dLe0IaVSxJIifeP7CWe0ROM2YvEJBEEkN1cm\nLy9CVdVq1qxxX5LCXIqi8PLLb2Ew1JCbO5UdITe3AL9/9EP3EwSBmpqa3ylc0efzoYtEsektjI5M\noNVoKC8qoqelhYGxMVatX09jcztqkxmDLo0BHWq1EX8ghSqVpUbvoMg6lalIHh+hOfw+VSoj2fAk\nhUi4rAb8iTBpiwWtkkSfseNXBMzmIurq1+L1niQWU/GTnxxm2bJJcnP3cf31i5DTce5YvZoxi4W0\n30+eSoUurPDORIjl192FKFrpaz9Be2sLDk2IXCFBJOlF0ecSTMSZTCZRNElSk0Pws5+x7dZbWbps\n2SVztr7cJJNJTpxopLm5E51Oy+rVU0L0Qv4Ora1tbN/+JpJkQxDUKMpB1q+v4bbbbj4jguP0/UtL\nS1m1op4R/zBmtRqL3oGiVZEcH6e4oICUJGFVFBLpNPn5+XSMT1CoiOjUOcSVNKIsIUlJfEoKUc7F\noTcgq9SodFryzXrGUsNEugfIUVlQ5ZhxCWnq8ixMRKP4x7yEAhEyEgyndXQMvoyjbjlO5yK02t9O\nkfb3d1CZb+H1Y+2khCU4BAd6lRqD6MQb83LI5+f3rNZzfeIsFmLx+BkO4ABpRZkJa5/n0vD661M+\nHx9Rb/QjWbkSvve9i2PTXGU2HVifBp6+nMd8++1dvPNOKzk5FVitRXR3ewgGd/D1rz940Tru99/f\nxzvvdKLRVKIoAiUlLnp7O9Bq26ivX8nAQCPbtz/LazsOo4wOU51XgjPHgSRlkTOHCIfDiDk5JKJJ\nZAmsBpFQOo4CRNBSpKTRqBKYFAlZBhCxAKNSEpdWj06lJq4odI+NoddqGRIs6OVKOk80UrdyJbIk\nYY9WY/Ia8XqDhMM15Oe7sNlyEAQIBE7gcn2yZGKfhHA4zNhYhLKyM6dlPsjgerGPNTQ0hCAIuFwu\nfvX4MwS6JtAXLUCWJQ4f7sbtziEnN5eOvj5qSkqQdSaygg5BZaTevYTx8Qlichyr3oqg1yGIIvFY\njHy1AWvKg1ptQaU3ISezBENBbBYNCb2eNU4Hr3UGUOeUUVBSS3//MXy+Vhoa7kOSoKWlB4vFwp49\nT1DtSvHQ2tU4c3Px+f2ko1GGmjpZXr+QPFcpXY2dLHVVEPZ4CGbaWeMsYGR8nHgqi06dj1VvIJNU\nE1LraT/QSV4ySeP+/Tzw9a9f8W+9qVSKRx99muFhBbu9hGw2w+OP72LDhgHuuOOWc7aPRqP8+tdv\n4nAsn0neJ8sSe/cepqzMxdDQCAcPNgMC9fUVbNt2PQUFBSiKwoTPRzabRWcxkxUECs1mgmNjtKlU\nrKutpbioiM4jRyiUZXpGxnHrTQzFExhttYhqPZmIl5GkF4PFhKjVUVbkwqDT0T05xkQkyfKichRB\nh8acgyEYIjDuJZOM4fWHcZpzUUjTOzFCTvECQiEf/f0HsdurMRgsBINetNpxHAU2DjaN4C7eSMTn\nBwSQJeyGcsLZNKOZzMzIWCAQQFEUlm/YwN6nnybHZEI9PZI4PDEBublEo1Gam5unsylfminZa5kn\nn4QHH/zdP6eyEiYmrm4n1ll3YL1cBAIBdu9uwu1ej0o1ddoWSy6Dgy0cP36S668/N6/IJyWTybBn\nz0mKi1fS0zOAWm1CpdJgs9XQ3X2c6uoG1GoTTz/6Y4z+KC4BenwjHFckKkrrsOhyGRcGOT7oJUdr\nQlSryRjtCEkPsXSCeHaCAtLkIBJGYRAFPSCh0CODOZ3ClM3gE0UCBgOfq67muD+FwypiUanpaW3j\n+s98BlEUmPA3UVlZxciIjN3umHmbEoQChoZaqa+//ne+Hqfj9Xo5dvAgfZ2ddLZ1YTYvPMOR82Ln\nGzh86BD7duzApijIikK7z0+/X48zpwCDfkp4GgwWBgZ6KawsBYuFQ14vEYOBvf4Y+WojoeF+4iqR\nSYOZFVYj8XiWQDxOOBojJWVRIyGrAhh0FgJZSKQjONNG/J4Q6nCYXKuGnolGhOQ4OQYVBgrpOdVL\nLC0hijHWrFlJOi1y4NhzBJpbWFheCoJAWhBQNFZktZZoNIZOymLQ5VCY56K3p4XNRbl0BoMEYioK\njQK+RBzRrKdh0RYy2SSKpGCPRtm/Zw+3XuHVChsbmxgeVigv/614tdnyOXjwIKtXL6ew8EwR29PT\nQyaTc0YWYVFUoVLl8Wf/7/cwZATMFgdmp5tMJkpPzzP84R9+iWQySdDjYTwYJDM+jlGtplVRUFmt\niGVlJNRqXMXFSJJE89GjhDJpbIBoyUWnU5DkNDarCRM6wlYj2bREWIozHIvTm5WwW/LRa4wkZAW9\nzkBEo0NKycSiUWS9BRIxJJWaXL0Oz0gfzqpFLFvm5Pjh9/GOjFOzsJKvfe0LPPerXxGKREiLg8TT\ncWKygigasdmKmUymuP6226aiw37xC0IjIwiAIS+PvIYG9re1YRUEUrJMWK1GiUbZ9+STqIG3geVb\nt7J569b5CJuLRDIJO3fCj3/8u3+WSjU1wtLSAht+90fVnOSaESMejwewzQiRD7DbS9i9+yBdXYP0\n9XnQakUqK4toaFhMVVUVRqPxYx8jkUiQzQpotXr0eh2S5AdApdIiyxrS6SRdrfspzqTRav5/9t48\nyLKzPPP8ne3u+5b7nllZqk2q0lJSgTYkIQzIBowHA27sxh3ydHvcETi6e6L7jwm7Y9rj9vTg8LTD\nHtvCAgMyq8CAVJJAa2mrfc2qzMp9v3n35Zx79nPmjyxKSAgMDskIrCfiRuS9ee53MuOc833v977P\n+zwBas0KUdvC6LQ4X1zBkhXauESTXWQlGRfQLRPVdvilZAJfFjlfLlNyXZrABBAAmsCwKLIBNHwf\nNxhkuFBgpVZDLNepF+voSggz3o+q3owsC9i2xshIH8GgzszMZXw/jCAIGMYme/fGGX+Ny+hPina7\nzYXz5ylvbJDt7mbvvn00m02+/jd/Q78ssyseZ5o2zz76MLfc/f6ri8nW1uI/6Xyvh/X1dV7+h3/g\nYF8fwStkzqXVMp2qSz0RotSqongSHVWl0m7RTEv8H3/wB3Q6HU5eWiAaSZEIR9F0Fd2X8aMVgmGd\noAyXl5dQbA8HCV0R6U4EUGWPhuAhui7L7TZtQaBXEAgrCjsiIqFQlkBCoVG3sBsl2qZBOg1nXvo2\nQcmFRh3ZbhCSIBqNcnFtjZcrDUh1M+GFCNkBfD9DMhFkSfZ5rtFAUIIU5QJ6NI0lWBzad4hULEu7\n06DaLHFgYoTHnnmGUk1jYWGDWCzMO9+5n4MHb/q50iK5eHGBVOrVNgSiKAFpVldXfygYcV0XQXj1\n/2dZFidffAlno8qdN24zACv1MmvtOn07b+Do0ZPEYiHMzU0+vGcPxXqdaq3GgO9zsdnEXltjWhBY\nOH+eQr6HGSvEkhtBE1xGYj0M5XsRBOjYBsVQBymbxw3kuFAt4nsaqlFEFPKcW1tk9/guupM5VkQR\nU2vhOg5dpk7b6HDGdchGEniBIMVTz/LN9eP82u23kx++lrPz8/yXf/NvqDebWI1lQCEf6MeRFUzF\nxZSbjAzmaTQa/F//+T9zXSbDofFxRFGk0mwyMzfHr95/P6ZpAvDIQw+xN5+/KgLouC7Hvvtd+gYH\nfyJS+Nv4x/Hcc7B3L7xR1e59++DcubeDkZ97qKrK7OxZLl26TDAYZGxsgoGBHZTLa5w/P8OhQzuo\n13NcurTIo4/OMTp6lh07uvn4x9//Ey/M0WiUUEigWq0QiYQRBA3D0JBlCVl2MU2D9tYlfvmGa/nW\nd18goas09TaDrssQPoZpccKx0fKDVINhHNtkzVDpCYaR9Q6FaIRaOMyipjEMOFdcPdueR9b3iYgi\nwXSaGU0jK0nckMngJxKcnS+jSDLH187x+ON/j6ZpFAoyly4do1DYi21rtNsNfN9Flle4557fudpC\nu7S0xNGjp6nX24yN9XPTTddfNe76Qei6zveeeIIv/+VfEgd2jI5SS6U4+fTTEAgwEYnQfSUT8qFb\nb+Irz5zgxWe+zg2H7sbzVAqFV3ZjrVaLVqtFKpX6JxkTXjhzhpwgXHW1BUhEQsiWiUYP3zz3HCG9\nTjoSQsVlj5ugWq1y6exZ3rt7nLNzmzQ0i0wiQ9RpUkn5PLlWQWwb5D2TuGBSFkRSkTRbgk+6WWEn\n4IWDqLZFJBJBSSbp1TTslE/dKLO+JiLYNrLfS0BoExOiRDoadb/GdekkWTvIzOoqng84Hr2egKYJ\nNI8/xXo4TLk+RrneIdd9kI12ibq1TDyXpLdvL512m0xmm8vSMVtkEyG++L2n+cbzl0gmlsn3DHHD\nwf18+9vnKRarfOhDPz+y8aFQANs2X+c3DuVyma994QvUymV6h4e58dAhBgYGgOdwXefqxmNjfR2z\ntspornB1159PZGjXNjF0jfn5NfoLUbLBIAv1JtMVE92K0a5vEfZURicn+cgdd/B///03eWp6g5AU\nR45ey6bapNPYxNAtUsk4y3qJkQOT3P2hD/Lk499jbnGOgNqkIMO661APp1goLlOy2sxWGqxaEr1S\nEMdzAdgnisxaOmOZbkS9wbAbpFKr0VJVVs+fZ6hYJG1Z7Myneam+iCFLSFKWZFRmqXiCcGyC//qH\nD5GqLqHmk2wsrnPbbTeTSyaptNssLy5y6+23MzU1RdyyXqVGLEsSw4kE544ffzsYeYNw+DD80g9X\nEv/J2LcPrgjy/kLiX0QwUqvVeOKJo5TLIqnUOLYtcOLENM1m/Ur55BbK5RZnz67Q07OTQmEXzeZJ\nQqFJHnroEf7jf7x/20L85RPMzCyTTMY4dGg/k68xrTIMA8tSeeKJvyce34HjmNTrp4AWO3bk6XSm\n2HPNMLFclm8SXyQAACAASURBVJbTotZuMOLaxGSZju8RliV2IbDRrDJ0zc2cXbxAFogZHWKRMNlC\ngYGtLRqmCb5PQxDYmcngCwKb7TaRWIzkzp1MmCYFyyJ9hZx2zaDN2fkVBLVNq1LjXe/5GH193fzD\nP/wtJ09+nX373kcms50VKRT2cOTIeQ4dOsTU1CW+/vUjxGLDhMN9HDmyyYkTX+D++3/9VeRW0zT5\nsz/+Y05/5Sv0WhbhUIilapXK2BhduRzPTk1x6Nd//erxiWiU33rPO/nW2bPcfHOK8fEDjI2N8alP\n3c83vvEdTp6cRRQj+H6HW27Zzb333vUT7+YXFxc5/PDDhObnWY3HSRUK9PT3kwyJzK9P41fDREM3\nEoh51IwSfbkKv3pgP0989asYhsEdQ0PsHBxktVSiqXWotSRm1+NE49fjuW1ajk5HKrM/oCK4cFZX\n6ZEVVNdg1/g4bqOB5Dgc39ggCjQsi9FehaXKFqlogoZbJa6kMAybqGQg28v0hQcQfZtIPM50tcFk\neoCo77Poymg6VLQt5qstdo0dYKR/BFXvRzQncMQNhvaOUVmroXZ0HLeDIlc4OdPghaNTpIMT9ISz\n2OU23/vWd7nvIx/k5Mk5br21jKIozF6+jG1ZDA4P09fX95ZMz99ww17Onj1MJtON63p0Oh08z6ZW\nucjFpy8ymU4zGY1SPn+eL505w4fvv5877tjHk08eIx4fRJYDLMwdZyBnkiaEYXYIBsMICOA4XJ46\nSj6/m3Ykj5Iv8N1j6wTFJFVVpdkOYwsOXR5sVCpkEhPkGxqDhQL5XJYzc4usbIrM+2vIuLz3Nz7A\nv/3df8sXv/hl7KUq+3r3gqri2Boho8KmIrPkQWm+iUQ3ffE8KcmkYy8z4TToCoSwDJ358ho7M1mo\nqXznkUcJiwLjjoNgWZiWxU0jIyTCTc53NhH9Mo4jsiObREpcj+C5RBob1NY2MSqb1Irr/NKvvJ9E\nKESttN20aFkWr9f8HQwEaL7t/PyG4fDhbc7IG4Vrr4W//2dlWf7z4hciGLFtm7W1NWBb4Oq1RnYv\nvHAU3+/hnnuu4eWXz2GaAQQhx4kTR0gkPNbWGszNTWGaSer1Rbq70wSDEXzfwzRjnD59mmeeOYVp\n5shkJtjaUnnwwSd473vL3HbbK4Z6X/vat2k0ohQKKWZnXwJkQiGHj33sLg4dOkihUODTf/iHHHv2\nWQqGQcm12PB8BMsGwWfJE9nwYxhNn+LLT7EvHkYOhHC1JglFRm008DyPlCwj+T5hQSDousRCIZRI\nhK2uLu694w6eXVhA3thgrlSiVi6jtlqopkM2VqAVDrCyskGlUiOZnCSbNQkG14hGE0SjaeLxDOXy\nBlNTU3znO0fo7j5AsbjMuXOncF2XSETm8OEn+Y3f+F+AbXXTxx97jLnHHqPbshiNxUCWObaxweXV\nVa7buZPm/DzffOopfunWW68y+iVRJJ/Lcdtt7yTxA26zJ06UGRh4B6Io4boOR46cJRx+gTvvvO0f\nvQ/W19f5h898hslEgnIohFRr8MKpC2w6Di1foG4nCXmzJGKDgE8kpBMMSMTDYYLtNk3LwrAsoqEQ\nIz09OK7L3z3+Ejg5Ygr0dMfxVRVByKIL84yLBpfbbbryGTKJfiKizHy5RthxCeETk0Rcw6C4topo\nd9gXT9MJmzy/cZGAI9Iblgh5BsVakd6AgIeAhMRRrcNlXUBHJCKFiQojhAIh1rc2adQuIYVjJHv3\nkIh14Xuz2GKbsxsbDKdD5GMyz7x0DsV16aWBXFPRBYGQ0sXR51/i5lt38eLzz7N46hQZ30cWRU46\nDiM33cR7f/mX33Iy4mNjY9x11x4+9+CXKK60UHwHmyqFhMeBu+4iecXMMRYOE6pWeeaxx/jYJz/J\nyMggp05dQNfb3Hr7ILOPnENdmqG9uowST6IpIUpby8QTUWIbcU5cOs+xi0uk8xPMrzbR2nkkv4uO\nr/L4S3MkQjF8vxfPqDC3Os2xWQfXEwgGRW7ZvYuxvZP8/n/9AzY2Njhx5Ay7usaYPXcRyQUIs6la\nLLUvUve7EBkASSVRyNMVybNV92n6bQq+het75HqGcQSBjZZGtVFjNBYiHA4j+D6GaVLXNJKiSFBw\nGMsmqPlxpnWXntQIK5cPE+zUGYukwTcRqnVe+t73CA0Pc+311wPbc+QR38d7rYhgvc6OW275GVzl\nXzwsLkK9vi1W9kZh7144f37b5+Yt9pi+Ifi5D0bm5ub48pcPo+vbi1wwaPLhD9/DNddcc/WY6ell\nMpndhEIR3v3ud1Iul1lcXKbRiDA9fY5otBtJChCNZlGUIBsbFbLZ6pW2OpmjR0+h61kgzIULsyiK\nTE/PCN/97nEOHLiOWCxGuVzm5MkZ5uc1JGmcPXtuxDCarK6+zOGvPEysUeXc5cvItRqS7SC7ElkE\ncqLAmu9R80OU3X7ChPBRMRsGp9UmCirdnkuq0yHhOGi+z5brIgsCKc/nfMsg2rao+xZdO3dS7XQ4\neOed1GZmUKemSEYiTPT1MbNe5sxKh7WlJsGUhKYJzM6uEIl0MTAwyPz8HLOzKr4fwLabSFKNcHiA\n1dWXmZ+vEY0OEI0mKZc3+Pznv8lAf4ELL79Mp93m8COP0LW2htnpsC5JLPs+mVCILlEkJwhc19VF\nZ2WFY+fPc9uVCXGhWKR3cvJVgQhAf/+uK5wAkCSZvr7dPP/8SW677R0/NjuytrbGn/7J/0t9dpGx\n3jzzqsb6zAK+rpL1PTw/QLcQpOKvMDIxTCwUJRUfodZeodxs4vs+8Z4evvn44wzGYuR7ekjk81Sa\nNqF0DqNcxnI86ppOJqigCTLBVJiA7yNlM2yUK0iVJrZlgi9giBJ6x6TsuAgEKSLy8OVNImHokiSC\nrkraELAEkZlmkUo4jKBbnLMUfHcclzyykMDwymj2FPnAIGElQbnhkDUKXC5dpONVUdfyfOCde1mQ\n41TrdVbKNnJHY2cgTkQOE1Ii2J7DrLFOcV1A07o4/fQp7hofJ3JFWdfzPI69/DIzk5Ovem7eChAE\ngUQ8wt6cxz2DBYKBAEFlgscef5yly5evLrAA3ZkM04uLOI7D+Pg44+PjWJbFX/yP/4HpOOwcGcSo\nNpgvrbNSK9Ff6OLWWw7QKhZJ1+s011ZY8CWi8l4CYQnd6BALF9Asi0eefQ5LmWCt3AKhh1BwiHQ8\nQ0Pd4PkL0xRGtnWKFhaWcd0A5xcuoasu2XCKqlFjrqUTpIc4A0ik6bg6FzZLDO2epLdnhHppE93V\nsJQYJVtmpgWqKmGQpGyqiIk462oHV/R4bHGR3mAQU1LY0ktsUkbNTuC6JlnPxYmkqdoGScFD1A3m\nL11iq1TCTSZpViq870MfYuKWWzj+wguMZjIossxatYqZzZJMpTh+/DiJRILR0dG3BfT+iTh8GN7z\nnjc2aEint19LS9vdNb9o+LkORprNJl/4wiMkk3vJ57d5DLqu8tBDj/Pv/32OfH67jp5IRGi1tlVX\nA4EAzWabUslGlpNks9fS6Tjouocsr5JOT+B5TTzPuMLIr7O1pbG8bNNoCIRCSVzXZnHxEvm8SrFY\nZHx8HE3TWFraRFGuJRbbbo3tdDSCegSzZbGnq4u5M2cYCQQ4rRr44Th2s0rbsegAm8TpJYJKiWEg\nLYWp2j5twWVLlqmZJoKuowEaECbIppwlKiu0HAddlOgrNcm02wxubrJYr9Pe3OTW4WFkUWSlPs0a\ncfozw3SaZTIje+jpGWVm5llOnChSLPooyiAgoOtFZmfbWNZzrK15KMpuqtUykrRJNpthbVXjs//P\np/nobbcip1J8Y24O03VJhkLgeZiGQcJx0KNRWp0OQ5OTCKLIS1NTRFMpXFkm2NvLh19HH/m1BONA\nIIRleRiG8SPbr2dnZ/nc5x7h8ozLaGwfq6UOF9ccNNPgYCCE4HugJBgMDTFXX2VxbYW7brwLAN93\nMC2L6WKRfk3Dcl1OXriAcvYsWjxOLTLINfuv49GHH8XxJKKhLGvtEqZd5mjHoJXLca5SIdVoEvJB\n8EXmbYMt1waCBMigksIjju3E0NorJEId4orCSadDnyTxznicimUxbRm0vAHiwX4kgkjE8fw4BjXq\n+hqauRfXS1HV6jhOEheJy4ubfNlscsdggQFRpJxK0ZJFugMK6+1NAulhFFEm4/tsGUU0bZXJRPBq\nIAIgiiLDqRQXTpx4ywUjvu9z7OmnOTg6elXKv6VpJGMx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DMr1OoVAgHilQsp16fV9Hnvo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JFJk3swGkRE5EWEk3GQZ8k8mLTYOwDWUKSLqCqIe32FqDQbPr4/gBhaAMlPG+ddNpg+/ab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UUMv7UO9qITAo0ghU5N8xnsrOTkZqzUBp9OG2Rzbkmtv70Wp1KLXq+nwOBnw7QUBksJAVOXFNtJF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\nb765DbXa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-       "text": [
-        "<matplotlib.figure.Figure at 0x11dade4d0>"
-       ]
-      }
-     ],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Learn and evaluate scikit-learn's logistic regression with stochastic gradient descent (SGD) training. Time and check the classifier's accuracy."
-     ]
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Caffeinated Logistic Regression of HDF5 Data\n",
+    "\n",
+    "While Caffe is made for deep networks it can likewise represent \"shallow\" models like logistic regression for classification. We'll do simple logistic regression on synthetic data that we'll generate and save to HDF5 to feed vectors to Caffe. Once that model is done, we'll add layers to improve accuracy. That's what Caffe is about: define a model, experiment, and then deploy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe\n",
+    "\n",
+    "import os\n",
+    "import h5py\n",
+    "import shutil\n",
+    "import tempfile\n",
+    "\n",
+    "# You may need to 'pip install scikit-learn'\n",
+    "import sklearn\n",
+    "import sklearn.datasets\n",
+    "import sklearn.linear_model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Synthesize a dataset of 10,000 4-vectors for binary classification with 2 informative features and 2 noise features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Train and test the scikit-learn SGD logistic regression.\n",
-      "clf = sklearn.linear_model.SGDClassifier(\n",
-      "    loss='log', n_iter=1000, penalty='l2', alpha=1e-3, class_weight='auto')\n",
-      "\n",
-      "%timeit clf.fit(X, y)\n",
-      "yt_pred = clf.predict(Xt)\n",
-      "print('Accuracy: {:.3f}'.format(sklearn.metrics.accuracy_score(yt, yt_pred)))"
-     ],
-     "language": "python",
+     "data": {
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11dade4d0>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 499 ms per loop\n",
-        "Accuracy: 0.756\n"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X, y = sklearn.datasets.make_classification(\n",
+    "    n_samples=10000, n_features=4, n_redundant=0, n_informative=2, \n",
+    "    n_clusters_per_class=2, hypercube=False, random_state=0\n",
+    ")\n",
+    "\n",
+    "# Split into train and test\n",
+    "X, Xt, y, yt = sklearn.cross_validation.train_test_split(X, y)\n",
+    "\n",
+    "# Visualize sample of the data\n",
+    "ind = np.random.permutation(X.shape[0])[:1000]\n",
+    "df = pd.DataFrame(X[ind])\n",
+    "_ = pd.scatter_matrix(df, figsize=(9, 9), diagonal='kde', marker='o', s=40, alpha=.4, c=y[ind])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Learn and evaluate scikit-learn's logistic regression with stochastic gradient descent (SGD) training. Time and check the classifier's accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Save the dataset to HDF5 for loading in Caffe."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 loops, best of 3: 499 ms per loop\n",
+      "Accuracy: 0.756\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Write out the data to HDF5 files in a temp directory.\n",
-      "# This file is assumed to be caffe_root/examples/hdf5_classification.ipynb\n",
-      "dirname = os.path.abspath('./hdf5_classification/data')\n",
-      "if not os.path.exists(dirname):\n",
-      "    os.makedirs(dirname)\n",
-      "\n",
-      "train_filename = os.path.join(dirname, 'train.h5')\n",
-      "test_filename = os.path.join(dirname, 'test.h5')\n",
-      "\n",
-      "# HDF5DataLayer source should be a file containing a list of HDF5 filenames.\n",
-      "# To show this off, we'll list the same data file twice.\n",
-      "with h5py.File(train_filename, 'w') as f:\n",
-      "    f['data'] = X\n",
-      "    f['label'] = y.astype(np.float32)\n",
-      "with open(os.path.join(dirname, 'train.txt'), 'w') as f:\n",
-      "    f.write(train_filename + '\\n')\n",
-      "    f.write(train_filename + '\\n')\n",
-      "    \n",
-      "# HDF5 is pretty efficient, but can be further compressed.\n",
-      "comp_kwargs = {'compression': 'gzip', 'compression_opts': 1}\n",
-      "with h5py.File(test_filename, 'w') as f:\n",
-      "    f.create_dataset('data', data=Xt, **comp_kwargs)\n",
-      "    f.create_dataset('label', data=yt.astype(np.float32), **comp_kwargs)\n",
-      "with open(os.path.join(dirname, 'test.txt'), 'w') as f:\n",
-      "    f.write(test_filename + '\\n')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 4
-    },
+    }
+   ],
+   "source": [
+    "# Train and test the scikit-learn SGD logistic regression.\n",
+    "clf = sklearn.linear_model.SGDClassifier(\n",
+    "    loss='log', n_iter=1000, penalty='l2', alpha=1e-3, class_weight='auto')\n",
+    "\n",
+    "%timeit clf.fit(X, y)\n",
+    "yt_pred = clf.predict(Xt)\n",
+    "print('Accuracy: {:.3f}'.format(sklearn.metrics.accuracy_score(yt, yt_pred)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Save the dataset to HDF5 for loading in Caffe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Write out the data to HDF5 files in a temp directory.\n",
+    "# This file is assumed to be caffe_root/examples/hdf5_classification.ipynb\n",
+    "dirname = os.path.abspath('./hdf5_classification/data')\n",
+    "if not os.path.exists(dirname):\n",
+    "    os.makedirs(dirname)\n",
+    "\n",
+    "train_filename = os.path.join(dirname, 'train.h5')\n",
+    "test_filename = os.path.join(dirname, 'test.h5')\n",
+    "\n",
+    "# HDF5DataLayer source should be a file containing a list of HDF5 filenames.\n",
+    "# To show this off, we'll list the same data file twice.\n",
+    "with h5py.File(train_filename, 'w') as f:\n",
+    "    f['data'] = X\n",
+    "    f['label'] = y.astype(np.float32)\n",
+    "with open(os.path.join(dirname, 'train.txt'), 'w') as f:\n",
+    "    f.write(train_filename + '\\n')\n",
+    "    f.write(train_filename + '\\n')\n",
+    "    \n",
+    "# HDF5 is pretty efficient, but can be further compressed.\n",
+    "comp_kwargs = {'compression': 'gzip', 'compression_opts': 1}\n",
+    "with h5py.File(test_filename, 'w') as f:\n",
+    "    f.create_dataset('data', data=Xt, **comp_kwargs)\n",
+    "    f.create_dataset('label', data=yt.astype(np.float32), **comp_kwargs)\n",
+    "with open(os.path.join(dirname, 'test.txt'), 'w') as f:\n",
+    "    f.write(test_filename + '\\n')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Learn and evaluate logistic regression in Caffe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Learn and evaluate logistic regression in Caffe."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 loops, best of 3: 240 ms per loop\n",
+      "Accuracy: 0.752\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def learn_and_test(solver_file):\n",
-      "    caffe.set_mode_cpu()\n",
-      "    solver = caffe.get_solver(solver_file)\n",
-      "    solver.solve()\n",
-      "\n",
-      "    accuracy = 0\n",
-      "    test_iters = int(len(Xt) / solver.test_nets[0].blobs['data'].num)\n",
-      "    for i in range(test_iters):\n",
-      "        solver.test_nets[0].forward()\n",
-      "        accuracy += solver.test_nets[0].blobs['accuracy'].data\n",
-      "    accuracy /= test_iters\n",
-      "    return accuracy\n",
-      "\n",
-      "%timeit learn_and_test('hdf5_classification/solver.prototxt')\n",
-      "acc = learn_and_test('hdf5_classification/solver.prototxt')\n",
-      "print(\"Accuracy: {:.3f}\".format(acc))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 240 ms per loop\n",
-        "Accuracy: 0.752"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
+    }
+   ],
+   "source": [
+    "def learn_and_test(solver_file):\n",
+    "    caffe.set_mode_cpu()\n",
+    "    solver = caffe.get_solver(solver_file)\n",
+    "    solver.solve()\n",
+    "\n",
+    "    accuracy = 0\n",
+    "    test_iters = int(len(Xt) / solver.test_nets[0].blobs['data'].num)\n",
+    "    for i in range(test_iters):\n",
+    "        solver.test_nets[0].forward()\n",
+    "        accuracy += solver.test_nets[0].blobs['accuracy'].data\n",
+    "    accuracy /= test_iters\n",
+    "    return accuracy\n",
+    "\n",
+    "%timeit learn_and_test('hdf5_classification/solver.prototxt')\n",
+    "acc = learn_and_test('hdf5_classification/solver.prototxt')\n",
+    "print(\"Accuracy: {:.3f}\".format(acc))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Do the same through the command line interface for detailed output on the model and solving."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Do the same through the command line interface for detailed output on the model and solving."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "I0307 01:34:29.141863 2099749632 caffe.cpp:103] Use CPU.\n",
+      "I0307 01:34:29.418283 2099749632 caffe.cpp:107] Starting Optimization\n",
+      "I0307 01:34:29.418323 2099749632 solver.cpp:32] Initializing solver from parameters: \n",
+      "test_iter: 250\n",
+      "test_interval: 1000\n",
+      "base_lr: 0.01\n",
+      "display: 1000\n",
+      "max_iter: 10000\n",
+      "lr_policy: \"step\"\n",
+      "gamma: 0.1\n",
+      "momentum: 0.9\n",
+      "weight_decay: 0.0005\n",
+      "stepsize: 5000\n",
+      "snapshot: 10000\n",
+      "snapshot_prefix: \"hdf5_classification/data/train\"\n",
+      "solver_mode: CPU\n",
+      "net: \"hdf5_classification/train_val.prototxt\"\n",
+      "I0307 01:34:29.418416 2099749632 solver.cpp:70] Creating training net from net file: hdf5_classification/train_val.prototxt\n",
+      "I0307 01:34:29.418583 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer data\n",
+      "I0307 01:34:29.418598 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy\n",
+      "I0307 01:34:29.418608 2099749632 net.cpp:42] Initializing net from parameters: \n",
+      "name: \"LogisticRegressionNet\"\n",
+      "state {\n",
+      "  phase: TRAIN\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"data\"\n",
+      "  type: \"HDF5Data\"\n",
+      "  top: \"data\"\n",
+      "  top: \"label\"\n",
+      "  include {\n",
+      "    phase: TRAIN\n",
+      "  }\n",
+      "  hdf5_data_param {\n",
+      "    source: \"hdf5_classification/data/train.txt\"\n",
+      "    batch_size: 10\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc1\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"data\"\n",
+      "  top: \"fc1\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 2\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"loss\"\n",
+      "  type: \"SoftmaxWithLoss\"\n",
+      "  bottom: \"fc1\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"loss\"\n",
+      "}\n",
+      "I0307 01:34:29.418692 2099749632 layer_factory.hpp:74] Creating layer data\n",
+      "I0307 01:34:29.418853 2099749632 net.cpp:84] Creating Layer data\n",
+      "I0307 01:34:29.418879 2099749632 net.cpp:338] data -> data\n",
+      "I0307 01:34:29.418905 2099749632 net.cpp:338] data -> label\n",
+      "I0307 01:34:29.418918 2099749632 net.cpp:113] Setting up data\n",
+      "I0307 01:34:29.418926 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/train.txt\n",
+      "I0307 01:34:29.418992 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 2\n",
+      "I0307 01:34:29.420812 2099749632 net.cpp:120] Top shape: 10 4 (40)\n",
+      "I0307 01:34:29.420841 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:29.420852 2099749632 layer_factory.hpp:74] Creating layer fc1\n",
+      "I0307 01:34:29.420866 2099749632 net.cpp:84] Creating Layer fc1\n",
+      "I0307 01:34:29.420872 2099749632 net.cpp:380] fc1 <- data\n",
+      "I0307 01:34:29.420882 2099749632 net.cpp:338] fc1 -> fc1\n",
+      "I0307 01:34:29.420894 2099749632 net.cpp:113] Setting up fc1\n",
+      "I0307 01:34:29.425689 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:29.425709 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:29.425724 2099749632 net.cpp:84] Creating Layer loss\n",
+      "I0307 01:34:29.425731 2099749632 net.cpp:380] loss <- fc1\n",
+      "I0307 01:34:29.425739 2099749632 net.cpp:380] loss <- label\n",
+      "I0307 01:34:29.425747 2099749632 net.cpp:338] loss -> loss\n",
+      "I0307 01:34:29.425756 2099749632 net.cpp:113] Setting up loss\n",
+      "I0307 01:34:29.425767 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:29.425781 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:29.425789 2099749632 net.cpp:122]     with loss weight 1\n",
+      "I0307 01:34:29.425801 2099749632 net.cpp:167] loss needs backward computation.\n",
+      "I0307 01:34:29.425808 2099749632 net.cpp:167] fc1 needs backward computation.\n",
+      "I0307 01:34:29.425815 2099749632 net.cpp:169] data does not need backward computation.\n",
+      "I0307 01:34:29.425822 2099749632 net.cpp:205] This network produces output loss\n",
+      "I0307 01:34:29.425829 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\n",
+      "I0307 01:34:29.425837 2099749632 net.cpp:217] Network initialization done.\n",
+      "I0307 01:34:29.425843 2099749632 net.cpp:218] Memory required for data: 284\n",
+      "I0307 01:34:29.425961 2099749632 solver.cpp:154] Creating test net (#0) specified by net file: hdf5_classification/train_val.prototxt\n",
+      "I0307 01:34:29.425984 2099749632 net.cpp:257] The NetState phase (1) differed from the phase (0) specified by a rule in layer data\n",
+      "I0307 01:34:29.425997 2099749632 net.cpp:42] Initializing net from parameters: \n",
+      "name: \"LogisticRegressionNet\"\n",
+      "state {\n",
+      "  phase: TEST\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"data\"\n",
+      "  type: \"HDF5Data\"\n",
+      "  top: \"data\"\n",
+      "  top: \"label\"\n",
+      "  include {\n",
+      "    phase: TEST\n",
+      "  }\n",
+      "  hdf5_data_param {\n",
+      "    source: \"hdf5_classification/data/test.txt\"\n",
+      "    batch_size: 10\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc1\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"data\"\n",
+      "  top: \"fc1\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 2\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"loss\"\n",
+      "  type: \"SoftmaxWithLoss\"\n",
+      "  bottom: \"fc1\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"loss\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"accuracy\"\n",
+      "  type: \"Accuracy\"\n",
+      "  bottom: \"fc1\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"accuracy\"\n",
+      "  include {\n",
+      "    phase: TEST\n",
+      "  }\n",
+      "}\n",
+      "I0307 01:34:29.426126 2099749632 layer_factory.hpp:74] Creating layer data\n",
+      "I0307 01:34:29.426311 2099749632 net.cpp:84] Creating Layer data\n",
+      "I0307 01:34:29.426331 2099749632 net.cpp:338] data -> data\n",
+      "I0307 01:34:29.426343 2099749632 net.cpp:338] data -> label\n",
+      "I0307 01:34:29.426354 2099749632 net.cpp:113] Setting up data\n",
+      "I0307 01:34:29.426362 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/test.txt\n",
+      "I0307 01:34:29.426484 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 1\n",
+      "I0307 01:34:29.427692 2099749632 net.cpp:120] Top shape: 10 4 (40)\n",
+      "I0307 01:34:29.427711 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:29.427721 2099749632 layer_factory.hpp:74] Creating layer label_data_1_split\n",
+      "I0307 01:34:29.427731 2099749632 net.cpp:84] Creating Layer label_data_1_split\n",
+      "I0307 01:34:29.427738 2099749632 net.cpp:380] label_data_1_split <- label\n",
+      "I0307 01:34:29.427747 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_0\n",
+      "I0307 01:34:29.427759 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_1\n",
+      "I0307 01:34:29.427768 2099749632 net.cpp:113] Setting up label_data_1_split\n",
+      "I0307 01:34:29.427777 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:29.427784 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:29.427791 2099749632 layer_factory.hpp:74] Creating layer fc1\n",
+      "I0307 01:34:29.427804 2099749632 net.cpp:84] Creating Layer fc1\n",
+      "I0307 01:34:29.427813 2099749632 net.cpp:380] fc1 <- data\n",
+      "I0307 01:34:29.427821 2099749632 net.cpp:338] fc1 -> fc1\n",
+      "I0307 01:34:29.427831 2099749632 net.cpp:113] Setting up fc1\n",
+      "I0307 01:34:29.427845 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:29.427857 2099749632 layer_factory.hpp:74] Creating layer fc1_fc1_0_split\n",
+      "I0307 01:34:29.427866 2099749632 net.cpp:84] Creating Layer fc1_fc1_0_split\n",
+      "I0307 01:34:29.427872 2099749632 net.cpp:380] fc1_fc1_0_split <- fc1\n",
+      "I0307 01:34:29.427881 2099749632 net.cpp:338] fc1_fc1_0_split -> fc1_fc1_0_split_0\n",
+      "I0307 01:34:29.427891 2099749632 net.cpp:338] fc1_fc1_0_split -> fc1_fc1_0_split_1\n",
+      "I0307 01:34:29.427942 2099749632 net.cpp:113] Setting up fc1_fc1_0_split\n",
+      "I0307 01:34:29.427955 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:29.427965 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:29.427976 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:29.427991 2099749632 net.cpp:84] Creating Layer loss\n",
+      "I0307 01:34:29.428001 2099749632 net.cpp:380] loss <- fc1_fc1_0_split_0\n",
+      "I0307 01:34:29.428009 2099749632 net.cpp:380] loss <- label_data_1_split_0\n",
+      "I0307 01:34:29.428017 2099749632 net.cpp:338] loss -> loss\n",
+      "I0307 01:34:29.428026 2099749632 net.cpp:113] Setting up loss\n",
+      "I0307 01:34:29.428035 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:29.428048 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:29.428056 2099749632 net.cpp:122]     with loss weight 1\n",
+      "I0307 01:34:29.428064 2099749632 layer_factory.hpp:74] Creating layer accuracy\n",
+      "I0307 01:34:29.428076 2099749632 net.cpp:84] Creating Layer accuracy\n",
+      "I0307 01:34:29.428084 2099749632 net.cpp:380] accuracy <- fc1_fc1_0_split_1\n",
+      "I0307 01:34:29.428092 2099749632 net.cpp:380] accuracy <- label_data_1_split_1\n",
+      "I0307 01:34:29.428102 2099749632 net.cpp:338] accuracy -> accuracy\n",
+      "I0307 01:34:29.428131 2099749632 net.cpp:113] Setting up accuracy\n",
+      "I0307 01:34:29.428140 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:29.428148 2099749632 net.cpp:169] accuracy does not need backward computation.\n",
+      "I0307 01:34:29.428154 2099749632 net.cpp:167] loss needs backward computation.\n",
+      "I0307 01:34:29.428161 2099749632 net.cpp:167] fc1_fc1_0_split needs backward computation.\n",
+      "I0307 01:34:29.428167 2099749632 net.cpp:167] fc1 needs backward computation.\n",
+      "I0307 01:34:29.428174 2099749632 net.cpp:169] label_data_1_split does not need backward computation.\n",
+      "I0307 01:34:29.428181 2099749632 net.cpp:169] data does not need backward computation.\n",
+      "I0307 01:34:29.428189 2099749632 net.cpp:205] This network produces output accuracy\n",
+      "I0307 01:34:29.428324 2099749632 net.cpp:205] This network produces output loss\n",
+      "I0307 01:34:29.428342 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\n",
+      "I0307 01:34:29.428350 2099749632 net.cpp:217] Network initialization done.\n",
+      "I0307 01:34:29.428357 2099749632 net.cpp:218] Memory required for data: 528\n",
+      "I0307 01:34:29.428388 2099749632 solver.cpp:42] Solver scaffolding done.\n",
+      "I0307 01:34:29.428412 2099749632 solver.cpp:222] Solving LogisticRegressionNet\n",
+      "I0307 01:34:29.428421 2099749632 solver.cpp:223] Learning Rate Policy: step\n",
+      "I0307 01:34:29.428431 2099749632 solver.cpp:266] Iteration 0, Testing net (#0)\n",
+      "I0307 01:34:29.471674 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.4532\n",
+      "I0307 01:34:29.471724 2099749632 solver.cpp:315]     Test net output #1: loss = 0.694067 (* 1 = 0.694067 loss)\n",
+      "I0307 01:34:29.471853 2099749632 solver.cpp:189] Iteration 0, loss = 0.692695\n",
+      "I0307 01:34:29.471878 2099749632 solver.cpp:204]     Train net output #0: loss = 0.692695 (* 1 = 0.692695 loss)\n",
+      "I0307 01:34:29.471890 2099749632 solver.cpp:464] Iteration 0, lr = 0.01\n",
+      "I0307 01:34:29.483834 2099749632 solver.cpp:266] Iteration 1000, Testing net (#0)\n",
+      "I0307 01:34:29.486868 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7424\n",
+      "I0307 01:34:29.486896 2099749632 solver.cpp:315]     Test net output #1: loss = 0.601764 (* 1 = 0.601764 loss)\n",
+      "I0307 01:34:29.486922 2099749632 solver.cpp:189] Iteration 1000, loss = 0.472665\n",
+      "I0307 01:34:29.486934 2099749632 solver.cpp:204]     Train net output #0: loss = 0.472665 (* 1 = 0.472665 loss)\n",
+      "I0307 01:34:29.486944 2099749632 solver.cpp:464] Iteration 1000, lr = 0.01\n",
+      "I0307 01:34:29.498821 2099749632 solver.cpp:266] Iteration 2000, Testing net (#0)\n",
+      "I0307 01:34:29.501900 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7364\n",
+      "I0307 01:34:29.501941 2099749632 solver.cpp:315]     Test net output #1: loss = 0.60818 (* 1 = 0.60818 loss)\n",
+      "I0307 01:34:29.501988 2099749632 solver.cpp:189] Iteration 2000, loss = 0.6863\n",
+      "I0307 01:34:29.502003 2099749632 solver.cpp:204]     Train net output #0: loss = 0.6863 (* 1 = 0.6863 loss)\n",
+      "I0307 01:34:29.502013 2099749632 solver.cpp:464] Iteration 2000, lr = 0.01\n",
+      "I0307 01:34:29.513921 2099749632 solver.cpp:266] Iteration 3000, Testing net (#0)\n",
+      "I0307 01:34:29.517227 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.6964\n",
+      "I0307 01:34:29.517300 2099749632 solver.cpp:315]     Test net output #1: loss = 0.604707 (* 1 = 0.604707 loss)\n",
+      "I0307 01:34:29.518105 2099749632 solver.cpp:189] Iteration 3000, loss = 0.617542\n",
+      "I0307 01:34:29.518154 2099749632 solver.cpp:204]     Train net output #0: loss = 0.617542 (* 1 = 0.617542 loss)\n",
+      "I0307 01:34:29.518170 2099749632 solver.cpp:464] Iteration 3000, lr = 0.01\n",
+      "I0307 01:34:29.531672 2099749632 solver.cpp:266] Iteration 4000, Testing net (#0)\n",
+      "I0307 01:34:29.534873 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7424\n",
+      "I0307 01:34:29.534920 2099749632 solver.cpp:315]     Test net output #1: loss = 0.601764 (* 1 = 0.601764 loss)\n",
+      "I0307 01:34:29.534950 2099749632 solver.cpp:189] Iteration 4000, loss = 0.472666\n",
+      "I0307 01:34:29.534962 2099749632 solver.cpp:204]     Train net output #0: loss = 0.472665 (* 1 = 0.472665 loss)\n",
+      "I0307 01:34:29.534973 2099749632 solver.cpp:464] Iteration 4000, lr = 0.01\n",
+      "I0307 01:34:29.546567 2099749632 solver.cpp:266] Iteration 5000, Testing net (#0)\n",
+      "I0307 01:34:29.549762 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7364\n",
+      "I0307 01:34:29.549789 2099749632 solver.cpp:315]     Test net output #1: loss = 0.60818 (* 1 = 0.60818 loss)\n",
+      "I0307 01:34:29.549815 2099749632 solver.cpp:189] Iteration 5000, loss = 0.686301\n",
+      "I0307 01:34:29.549828 2099749632 solver.cpp:204]     Train net output #0: loss = 0.6863 (* 1 = 0.6863 loss)\n",
+      "I0307 01:34:29.549837 2099749632 solver.cpp:464] Iteration 5000, lr = 0.001\n",
+      "I0307 01:34:29.562142 2099749632 solver.cpp:266] Iteration 6000, Testing net (#0)\n",
+      "I0307 01:34:29.565335 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7476\n",
+      "I0307 01:34:29.565373 2099749632 solver.cpp:315]     Test net output #1: loss = 0.59775 (* 1 = 0.59775 loss)\n",
+      "I0307 01:34:29.566051 2099749632 solver.cpp:189] Iteration 6000, loss = 0.664614\n",
+      "I0307 01:34:29.566086 2099749632 solver.cpp:204]     Train net output #0: loss = 0.664614 (* 1 = 0.664614 loss)\n",
+      "I0307 01:34:29.566097 2099749632 solver.cpp:464] Iteration 6000, lr = 0.001\n",
+      "I0307 01:34:29.577900 2099749632 solver.cpp:266] Iteration 7000, Testing net (#0)\n",
+      "I0307 01:34:29.580993 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7524\n",
+      "I0307 01:34:29.581015 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597349 (* 1 = 0.597349 loss)\n",
+      "I0307 01:34:29.581038 2099749632 solver.cpp:189] Iteration 7000, loss = 0.456775\n",
+      "I0307 01:34:29.581050 2099749632 solver.cpp:204]     Train net output #0: loss = 0.456774 (* 1 = 0.456774 loss)\n",
+      "I0307 01:34:29.581059 2099749632 solver.cpp:464] Iteration 7000, lr = 0.001\n",
+      "I0307 01:34:29.592854 2099749632 solver.cpp:266] Iteration 8000, Testing net (#0)\n",
+      "I0307 01:34:29.595973 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7568\n",
+      "I0307 01:34:29.596002 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597265 (* 1 = 0.597265 loss)\n",
+      "I0307 01:34:29.596027 2099749632 solver.cpp:189] Iteration 8000, loss = 0.673885\n",
+      "I0307 01:34:29.596040 2099749632 solver.cpp:204]     Train net output #0: loss = 0.673885 (* 1 = 0.673885 loss)\n",
+      "I0307 01:34:29.596048 2099749632 solver.cpp:464] Iteration 8000, lr = 0.001\n",
+      "I0307 01:34:29.607822 2099749632 solver.cpp:266] Iteration 9000, Testing net (#0)\n",
+      "I0307 01:34:29.610930 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7432\n",
+      "I0307 01:34:29.610960 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597777 (* 1 = 0.597777 loss)\n",
+      "I0307 01:34:29.611558 2099749632 solver.cpp:189] Iteration 9000, loss = 0.66526\n",
+      "I0307 01:34:29.611583 2099749632 solver.cpp:204]     Train net output #0: loss = 0.66526 (* 1 = 0.66526 loss)\n",
+      "I0307 01:34:29.611593 2099749632 solver.cpp:464] Iteration 9000, lr = 0.001\n",
+      "I0307 01:34:29.623009 2099749632 solver.cpp:334] Snapshotting to hdf5_classification/data/train_iter_10000.caffemodel\n",
+      "I0307 01:34:29.623209 2099749632 solver.cpp:342] Snapshotting solver state to hdf5_classification/data/train_iter_10000.solverstate\n",
+      "I0307 01:34:29.623319 2099749632 solver.cpp:248] Iteration 10000, loss = 0.457922\n",
+      "I0307 01:34:29.623333 2099749632 solver.cpp:266] Iteration 10000, Testing net (#0)\n",
+      "I0307 01:34:29.626454 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.752\n",
+      "I0307 01:34:29.626484 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597362 (* 1 = 0.597362 loss)\n",
+      "I0307 01:34:29.626493 2099749632 solver.cpp:253] Optimization Done.\n",
+      "I0307 01:34:29.626502 2099749632 caffe.cpp:121] Optimization Done.\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "!../build/tools/caffe train -solver hdf5_classification/solver.prototxt"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.141863 2099749632 caffe.cpp:103] Use CPU.\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.418283 2099749632 caffe.cpp:107] Starting Optimization\r\n",
-        "I0307 01:34:29.418323 2099749632 solver.cpp:32] Initializing solver from parameters: \r\n",
-        "test_iter: 250\r\n",
-        "test_interval: 1000\r\n",
-        "base_lr: 0.01\r\n",
-        "display: 1000\r\n",
-        "max_iter: 10000\r\n",
-        "lr_policy: \"step\"\r\n",
-        "gamma: 0.1\r\n",
-        "momentum: 0.9\r\n",
-        "weight_decay: 0.0005\r\n",
-        "stepsize: 5000\r\n",
-        "snapshot: 10000\r\n",
-        "snapshot_prefix: \"hdf5_classification/data/train\"\r\n",
-        "solver_mode: CPU\r\n",
-        "net: \"hdf5_classification/train_val.prototxt\"\r\n",
-        "I0307 01:34:29.418416 2099749632 solver.cpp:70] Creating training net from net file: hdf5_classification/train_val.prototxt\r\n",
-        "I0307 01:34:29.418583 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer data\r\n",
-        "I0307 01:34:29.418598 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy\r\n",
-        "I0307 01:34:29.418608 2099749632 net.cpp:42] Initializing net from parameters: \r\n",
-        "name: \"LogisticRegressionNet\"\r\n",
-        "state {\r\n",
-        "  phase: TRAIN\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"data\"\r\n",
-        "  type: \"HDF5Data\"\r\n",
-        "  top: \"data\"\r\n",
-        "  top: \"label\"\r\n",
-        "  include {\r\n",
-        "    phase: TRAIN\r\n",
-        "  }\r\n",
-        "  hdf5_data_param {\r\n",
-        "    source: \"hdf5_classification/data/train.txt\"\r\n",
-        "    batch_size: 10\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc1\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"data\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 2\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"loss\"\r\n",
-        "  type: \"SoftmaxWithLoss\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"loss\"\r\n",
-        "}\r\n",
-        "I0307 01:34:29.418692 2099749632 layer_factory.hpp:74] Creating layer data\r\n",
-        "I0307 01:34:29.418853 2099749632 net.cpp:84] Creating Layer data\r\n",
-        "I0307 01:34:29.418879 2099749632 net.cpp:338] data -> data\r\n",
-        "I0307 01:34:29.418905 2099749632 net.cpp:338] data -> label\r\n",
-        "I0307 01:34:29.418918 2099749632 net.cpp:113] Setting up data\r\n",
-        "I0307 01:34:29.418926 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/train.txt\r\n",
-        "I0307 01:34:29.418992 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 2\r\n",
-        "I0307 01:34:29.420812 2099749632 net.cpp:120] Top shape: 10 4 (40)\r\n",
-        "I0307 01:34:29.420841 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:29.420852 2099749632 layer_factory.hpp:74] Creating layer fc1\r\n",
-        "I0307 01:34:29.420866 2099749632 net.cpp:84] Creating Layer fc1\r\n",
-        "I0307 01:34:29.420872 2099749632 net.cpp:380] fc1 <- data\r\n",
-        "I0307 01:34:29.420882 2099749632 net.cpp:338] fc1 -> fc1\r\n",
-        "I0307 01:34:29.420894 2099749632 net.cpp:113] Setting up fc1\r\n",
-        "I0307 01:34:29.425689 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:29.425709 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:29.425724 2099749632 net.cpp:84] Creating Layer loss\r\n",
-        "I0307 01:34:29.425731 2099749632 net.cpp:380] loss <- fc1\r\n",
-        "I0307 01:34:29.425739 2099749632 net.cpp:380] loss <- label\r\n",
-        "I0307 01:34:29.425747 2099749632 net.cpp:338] loss -> loss\r\n",
-        "I0307 01:34:29.425756 2099749632 net.cpp:113] Setting up loss\r\n",
-        "I0307 01:34:29.425767 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:29.425781 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:29.425789 2099749632 net.cpp:122]     with loss weight 1\r\n",
-        "I0307 01:34:29.425801 2099749632 net.cpp:167] loss needs backward computation.\r\n",
-        "I0307 01:34:29.425808 2099749632 net.cpp:167] fc1 needs backward computation.\r\n",
-        "I0307 01:34:29.425815 2099749632 net.cpp:169] data does not need backward computation.\r\n",
-        "I0307 01:34:29.425822 2099749632 net.cpp:205] This network produces output loss\r\n",
-        "I0307 01:34:29.425829 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\r\n",
-        "I0307 01:34:29.425837 2099749632 net.cpp:217] Network initialization done.\r\n",
-        "I0307 01:34:29.425843 2099749632 net.cpp:218] Memory required for data: 284\r\n",
-        "I0307 01:34:29.425961 2099749632 solver.cpp:154] Creating test net (#0) specified by net file: hdf5_classification/train_val.prototxt\r\n",
-        "I0307 01:34:29.425984 2099749632 net.cpp:257] The NetState phase (1) differed from the phase (0) specified by a rule in layer data\r\n",
-        "I0307 01:34:29.425997 2099749632 net.cpp:42] Initializing net from parameters: \r\n",
-        "name: \"LogisticRegressionNet\"\r\n",
-        "state {\r\n",
-        "  phase: TEST\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"data\"\r\n",
-        "  type: \"HDF5Data\"\r\n",
-        "  top: \"data\"\r\n",
-        "  top: \"label\"\r\n",
-        "  include {\r\n",
-        "    phase: TEST\r\n",
-        "  }\r\n",
-        "  hdf5_data_param {\r\n",
-        "    source: \"hdf5_classification/data/test.txt\"\r\n",
-        "    batch_size: 10\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc1\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"data\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 2\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"loss\"\r\n",
-        "  type: \"SoftmaxWithLoss\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"loss\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"accuracy\"\r\n",
-        "  type: \"Accuracy\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"accuracy\"\r\n",
-        "  include {\r\n",
-        "    phase: TEST\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "I0307 01:34:29.426126 2099749632 layer_factory.hpp:74] Creating layer data\r\n",
-        "I0307 01:34:29.426311 2099749632 net.cpp:84] Creating Layer data\r\n",
-        "I0307 01:34:29.426331 2099749632 net.cpp:338] data -> data\r\n",
-        "I0307 01:34:29.426343 2099749632 net.cpp:338] data -> label\r\n",
-        "I0307 01:34:29.426354 2099749632 net.cpp:113] Setting up data\r\n",
-        "I0307 01:34:29.426362 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/test.txt\r\n",
-        "I0307 01:34:29.426484 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 1\r\n",
-        "I0307 01:34:29.427692 2099749632 net.cpp:120] Top shape: 10 4 (40)\r\n",
-        "I0307 01:34:29.427711 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:29.427721 2099749632 layer_factory.hpp:74] Creating layer label_data_1_split\r\n",
-        "I0307 01:34:29.427731 2099749632 net.cpp:84] Creating Layer label_data_1_split\r\n",
-        "I0307 01:34:29.427738 2099749632 net.cpp:380] label_data_1_split <- label\r\n",
-        "I0307 01:34:29.427747 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_0\r\n",
-        "I0307 01:34:29.427759 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_1\r\n",
-        "I0307 01:34:29.427768 2099749632 net.cpp:113] Setting up label_data_1_split\r\n",
-        "I0307 01:34:29.427777 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:29.427784 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:29.427791 2099749632 layer_factory.hpp:74] Creating layer fc1\r\n",
-        "I0307 01:34:29.427804 2099749632 net.cpp:84] Creating Layer fc1\r\n",
-        "I0307 01:34:29.427813 2099749632 net.cpp:380] fc1 <- data\r\n",
-        "I0307 01:34:29.427821 2099749632 net.cpp:338] fc1 -> fc1\r\n",
-        "I0307 01:34:29.427831 2099749632 net.cpp:113] Setting up fc1\r\n",
-        "I0307 01:34:29.427845 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:29.427857 2099749632 layer_factory.hpp:74] Creating layer fc1_fc1_0_split\r\n",
-        "I0307 01:34:29.427866 2099749632 net.cpp:84] Creating Layer fc1_fc1_0_split\r\n",
-        "I0307 01:34:29.427872 2099749632 net.cpp:380] fc1_fc1_0_split <- fc1\r\n",
-        "I0307 01:34:29.427881 2099749632 net.cpp:338] fc1_fc1_0_split -> fc1_fc1_0_split_0\r\n",
-        "I0307 01:34:29.427891 2099749632 net.cpp:338] fc1_fc1_0_split -> fc1_fc1_0_split_1\r\n",
-        "I0307 01:34:29.427942 2099749632 net.cpp:113] Setting up fc1_fc1_0_split\r\n",
-        "I0307 01:34:29.427955 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:29.427965 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:29.427976 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:29.427991 2099749632 net.cpp:84] Creating Layer loss\r\n",
-        "I0307 01:34:29.428001 2099749632 net.cpp:380] loss <- fc1_fc1_0_split_0\r\n",
-        "I0307 01:34:29.428009 2099749632 net.cpp:380] loss <- label_data_1_split_0\r\n",
-        "I0307 01:34:29.428017 2099749632 net.cpp:338] loss -> loss\r\n",
-        "I0307 01:34:29.428026 2099749632 net.cpp:113] Setting up loss\r\n",
-        "I0307 01:34:29.428035 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:29.428048 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:29.428056 2099749632 net.cpp:122]     with loss weight 1\r\n",
-        "I0307 01:34:29.428064 2099749632 layer_factory.hpp:74] Creating layer accuracy\r\n",
-        "I0307 01:34:29.428076 2099749632 net.cpp:84] Creating Layer accuracy\r\n",
-        "I0307 01:34:29.428084 2099749632 net.cpp:380] accuracy <- fc1_fc1_0_split_1\r\n",
-        "I0307 01:34:29.428092 2099749632 net.cpp:380] accuracy <- label_data_1_split_1\r\n",
-        "I0307 01:34:29.428102 2099749632 net.cpp:338] accuracy -> accuracy\r\n",
-        "I0307 01:34:29.428131 2099749632 net.cpp:113] Setting up accuracy\r\n",
-        "I0307 01:34:29.428140 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:29.428148 2099749632 net.cpp:169] accuracy does not need backward computation.\r\n",
-        "I0307 01:34:29.428154 2099749632 net.cpp:167] loss needs backward computation.\r\n",
-        "I0307 01:34:29.428161 2099749632 net.cpp:167] fc1_fc1_0_split needs backward computation.\r\n",
-        "I0307 01:34:29.428167 2099749632 net.cpp:167] fc1 needs backward computation.\r\n",
-        "I0307 01:34:29.428174 2099749632 net.cpp:169] label_data_1_split does not need backward computation.\r\n",
-        "I0307 01:34:29.428181 2099749632 net.cpp:169] data does not need backward computation.\r\n",
-        "I0307 01:34:29.428189 2099749632 net.cpp:205] This network produces output accuracy\r\n",
-        "I0307 01:34:29.428324 2099749632 net.cpp:205] This network produces output loss\r\n",
-        "I0307 01:34:29.428342 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\r\n",
-        "I0307 01:34:29.428350 2099749632 net.cpp:217] Network initialization done.\r\n",
-        "I0307 01:34:29.428357 2099749632 net.cpp:218] Memory required for data: 528\r\n",
-        "I0307 01:34:29.428388 2099749632 solver.cpp:42] Solver scaffolding done.\r\n",
-        "I0307 01:34:29.428412 2099749632 solver.cpp:222] Solving LogisticRegressionNet\r\n",
-        "I0307 01:34:29.428421 2099749632 solver.cpp:223] Learning Rate Policy: step\r\n",
-        "I0307 01:34:29.428431 2099749632 solver.cpp:266] Iteration 0, Testing net (#0)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.471674 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.4532\r\n",
-        "I0307 01:34:29.471724 2099749632 solver.cpp:315]     Test net output #1: loss = 0.694067 (* 1 = 0.694067 loss)\r\n",
-        "I0307 01:34:29.471853 2099749632 solver.cpp:189] Iteration 0, loss = 0.692695\r\n",
-        "I0307 01:34:29.471878 2099749632 solver.cpp:204]     Train net output #0: loss = 0.692695 (* 1 = 0.692695 loss)\r\n",
-        "I0307 01:34:29.471890 2099749632 solver.cpp:464] Iteration 0, lr = 0.01\r\n",
-        "I0307 01:34:29.483834 2099749632 solver.cpp:266] Iteration 1000, Testing net (#0)\r\n",
-        "I0307 01:34:29.486868 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7424\r\n",
-        "I0307 01:34:29.486896 2099749632 solver.cpp:315]     Test net output #1: loss = 0.601764 (* 1 = 0.601764 loss)\r\n",
-        "I0307 01:34:29.486922 2099749632 solver.cpp:189] Iteration 1000, loss = 0.472665\r\n",
-        "I0307 01:34:29.486934 2099749632 solver.cpp:204]     Train net output #0: loss = 0.472665 (* 1 = 0.472665 loss)\r\n",
-        "I0307 01:34:29.486944 2099749632 solver.cpp:464] Iteration 1000, lr = 0.01\r\n",
-        "I0307 01:34:29.498821 2099749632 solver.cpp:266] Iteration 2000, Testing net (#0)\r\n",
-        "I0307 01:34:29.501900 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7364\r\n",
-        "I0307 01:34:29.501941 2099749632 solver.cpp:315]     Test net output #1: loss = 0.60818 (* 1 = 0.60818 loss)\r\n",
-        "I0307 01:34:29.501988 2099749632 solver.cpp:189] Iteration 2000, loss = 0.6863\r\n",
-        "I0307 01:34:29.502003 2099749632 solver.cpp:204]     Train net output #0: loss = 0.6863 (* 1 = 0.6863 loss)\r\n",
-        "I0307 01:34:29.502013 2099749632 solver.cpp:464] Iteration 2000, lr = 0.01\r\n",
-        "I0307 01:34:29.513921 2099749632 solver.cpp:266] Iteration 3000, Testing net (#0)\r\n",
-        "I0307 01:34:29.517227 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.6964\r\n",
-        "I0307 01:34:29.517300 2099749632 solver.cpp:315]     Test net output #1: loss = 0.604707 (* 1 = 0.604707 loss)\r\n",
-        "I0307 01:34:29.518105 2099749632 solver.cpp:189] Iteration 3000, loss = 0.617542\r\n",
-        "I0307 01:34:29.518154 2099749632 solver.cpp:204]     Train net output #0: loss = 0.617542 (* 1 = 0.617542 loss)\r\n",
-        "I0307 01:34:29.518170 2099749632 solver.cpp:464] Iteration 3000, lr = 0.01\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.531672 2099749632 solver.cpp:266] Iteration 4000, Testing net (#0)\r\n",
-        "I0307 01:34:29.534873 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7424\r\n",
-        "I0307 01:34:29.534920 2099749632 solver.cpp:315]     Test net output #1: loss = 0.601764 (* 1 = 0.601764 loss)\r\n",
-        "I0307 01:34:29.534950 2099749632 solver.cpp:189] Iteration 4000, loss = 0.472666\r\n",
-        "I0307 01:34:29.534962 2099749632 solver.cpp:204]     Train net output #0: loss = 0.472665 (* 1 = 0.472665 loss)\r\n",
-        "I0307 01:34:29.534973 2099749632 solver.cpp:464] Iteration 4000, lr = 0.01\r\n",
-        "I0307 01:34:29.546567 2099749632 solver.cpp:266] Iteration 5000, Testing net (#0)\r\n",
-        "I0307 01:34:29.549762 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7364\r\n",
-        "I0307 01:34:29.549789 2099749632 solver.cpp:315]     Test net output #1: loss = 0.60818 (* 1 = 0.60818 loss)\r\n",
-        "I0307 01:34:29.549815 2099749632 solver.cpp:189] Iteration 5000, loss = 0.686301\r\n",
-        "I0307 01:34:29.549828 2099749632 solver.cpp:204]     Train net output #0: loss = 0.6863 (* 1 = 0.6863 loss)\r\n",
-        "I0307 01:34:29.549837 2099749632 solver.cpp:464] Iteration 5000, lr = 0.001\r\n",
-        "I0307 01:34:29.562142 2099749632 solver.cpp:266] Iteration 6000, Testing net (#0)\r\n",
-        "I0307 01:34:29.565335 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7476\r\n",
-        "I0307 01:34:29.565373 2099749632 solver.cpp:315]     Test net output #1: loss = 0.59775 (* 1 = 0.59775 loss)\r\n",
-        "I0307 01:34:29.566051 2099749632 solver.cpp:189] Iteration 6000, loss = 0.664614\r\n",
-        "I0307 01:34:29.566086 2099749632 solver.cpp:204]     Train net output #0: loss = 0.664614 (* 1 = 0.664614 loss)\r\n",
-        "I0307 01:34:29.566097 2099749632 solver.cpp:464] Iteration 6000, lr = 0.001\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.577900 2099749632 solver.cpp:266] Iteration 7000, Testing net (#0)\r\n",
-        "I0307 01:34:29.580993 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7524\r\n",
-        "I0307 01:34:29.581015 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597349 (* 1 = 0.597349 loss)\r\n",
-        "I0307 01:34:29.581038 2099749632 solver.cpp:189] Iteration 7000, loss = 0.456775\r\n",
-        "I0307 01:34:29.581050 2099749632 solver.cpp:204]     Train net output #0: loss = 0.456774 (* 1 = 0.456774 loss)\r\n",
-        "I0307 01:34:29.581059 2099749632 solver.cpp:464] Iteration 7000, lr = 0.001\r\n",
-        "I0307 01:34:29.592854 2099749632 solver.cpp:266] Iteration 8000, Testing net (#0)\r\n",
-        "I0307 01:34:29.595973 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7568\r\n",
-        "I0307 01:34:29.596002 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597265 (* 1 = 0.597265 loss)\r\n",
-        "I0307 01:34:29.596027 2099749632 solver.cpp:189] Iteration 8000, loss = 0.673885\r\n",
-        "I0307 01:34:29.596040 2099749632 solver.cpp:204]     Train net output #0: loss = 0.673885 (* 1 = 0.673885 loss)\r\n",
-        "I0307 01:34:29.596048 2099749632 solver.cpp:464] Iteration 8000, lr = 0.001\r\n",
-        "I0307 01:34:29.607822 2099749632 solver.cpp:266] Iteration 9000, Testing net (#0)\r\n",
-        "I0307 01:34:29.610930 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7432\r\n",
-        "I0307 01:34:29.610960 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597777 (* 1 = 0.597777 loss)\r\n",
-        "I0307 01:34:29.611558 2099749632 solver.cpp:189] Iteration 9000, loss = 0.66526\r\n",
-        "I0307 01:34:29.611583 2099749632 solver.cpp:204]     Train net output #0: loss = 0.66526 (* 1 = 0.66526 loss)\r\n",
-        "I0307 01:34:29.611593 2099749632 solver.cpp:464] Iteration 9000, lr = 0.001\r\n",
-        "I0307 01:34:29.623009 2099749632 solver.cpp:334] Snapshotting to hdf5_classification/data/train_iter_10000.caffemodel\r\n",
-        "I0307 01:34:29.623209 2099749632 solver.cpp:342] Snapshotting solver state to hdf5_classification/data/train_iter_10000.solverstate\r\n",
-        "I0307 01:34:29.623319 2099749632 solver.cpp:248] Iteration 10000, loss = 0.457922\r\n",
-        "I0307 01:34:29.623333 2099749632 solver.cpp:266] Iteration 10000, Testing net (#0)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:29.626454 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.752\r\n",
-        "I0307 01:34:29.626484 2099749632 solver.cpp:315]     Test net output #1: loss = 0.597362 (* 1 = 0.597362 loss)\r\n",
-        "I0307 01:34:29.626493 2099749632 solver.cpp:253] Optimization Done.\r\n",
-        "I0307 01:34:29.626502 2099749632 caffe.cpp:121] Optimization Done.\r\n"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
+    }
+   ],
+   "source": [
+    "!../build/tools/caffe train -solver hdf5_classification/solver.prototxt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you look at output or the `train_val.prototxt`, you'll see that the model is simple logistic regression.\n",
+    "We can make it a little more advanced by introducing a non-linearity between weights that take the input and weights that give the output -- now we have a two-layer network.\n",
+    "That network is given in `train_val2.prototxt`, and that's the only change made in `solver2.prototxt` which we will now use.\n",
+    "\n",
+    "The final accuracy of the new network be higher than logistic regression!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "If you look at output or the `train_val.prototxt`, you'll see that the model is simple logistic regression.\n",
-      "We can make it a little more advanced by introducing a non-linearity between weights that take the input and weights that give the output -- now we have a two-layer network.\n",
-      "That network is given in `train_val2.prototxt`, and that's the only change made in `solver2.prototxt` which we will now use.\n",
-      "\n",
-      "The final accuracy of the new network be higher than logistic regression!"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 loops, best of 3: 333 ms per loop\n",
+      "Accuracy: 0.818\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def learn_and_test(solver_file):\n",
-      "    caffe.set_mode_cpu()\n",
-      "    solver = caffe.get_solver(solver_file)\n",
-      "    solver.solve()\n",
-      "\n",
-      "    accuracy = 0\n",
-      "    test_iters = int(len(Xt) / solver.test_nets[0].blobs['data'].num)\n",
-      "    for i in range(test_iters):\n",
-      "        solver.test_nets[0].forward()\n",
-      "        accuracy += solver.test_nets[0].blobs['accuracy'].data\n",
-      "    accuracy /= test_iters\n",
-      "    return accuracy\n",
-      "\n",
-      "%timeit learn_and_test('hdf5_classification/solver2.prototxt')\n",
-      "acc = learn_and_test('hdf5_classification/solver2.prototxt')\n",
-      "print(\"Accuracy: {:.3f}\".format(acc))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 333 ms per loop\n",
-        "Accuracy: 0.818"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
+    }
+   ],
+   "source": [
+    "def learn_and_test(solver_file):\n",
+    "    caffe.set_mode_cpu()\n",
+    "    solver = caffe.get_solver(solver_file)\n",
+    "    solver.solve()\n",
+    "\n",
+    "    accuracy = 0\n",
+    "    test_iters = int(len(Xt) / solver.test_nets[0].blobs['data'].num)\n",
+    "    for i in range(test_iters):\n",
+    "        solver.test_nets[0].forward()\n",
+    "        accuracy += solver.test_nets[0].blobs['accuracy'].data\n",
+    "    accuracy /= test_iters\n",
+    "    return accuracy\n",
+    "\n",
+    "%timeit learn_and_test('hdf5_classification/solver2.prototxt')\n",
+    "acc = learn_and_test('hdf5_classification/solver2.prototxt')\n",
+    "print(\"Accuracy: {:.3f}\".format(acc))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Do the same through the command line interface for detailed output on the model and solving."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Do the same through the command line interface for detailed output on the model and solving."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "I0307 01:34:31.589234 2099749632 caffe.cpp:103] Use CPU.\n",
+      "I0307 01:34:31.872560 2099749632 caffe.cpp:107] Starting Optimization\n",
+      "I0307 01:34:31.872596 2099749632 solver.cpp:32] Initializing solver from parameters: \n",
+      "test_iter: 250\n",
+      "test_interval: 1000\n",
+      "base_lr: 0.01\n",
+      "display: 1000\n",
+      "max_iter: 10000\n",
+      "lr_policy: \"step\"\n",
+      "gamma: 0.1\n",
+      "momentum: 0.9\n",
+      "weight_decay: 0.0005\n",
+      "stepsize: 5000\n",
+      "snapshot: 10000\n",
+      "snapshot_prefix: \"hdf5_classification/data/train\"\n",
+      "solver_mode: CPU\n",
+      "net: \"hdf5_classification/train_val2.prototxt\"\n",
+      "I0307 01:34:31.872687 2099749632 solver.cpp:70] Creating training net from net file: hdf5_classification/train_val2.prototxt\n",
+      "I0307 01:34:31.872865 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer data\n",
+      "I0307 01:34:31.872882 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy\n",
+      "I0307 01:34:31.872891 2099749632 net.cpp:42] Initializing net from parameters: \n",
+      "name: \"LogisticRegressionNet\"\n",
+      "state {\n",
+      "  phase: TRAIN\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"data\"\n",
+      "  type: \"HDF5Data\"\n",
+      "  top: \"data\"\n",
+      "  top: \"label\"\n",
+      "  include {\n",
+      "    phase: TRAIN\n",
+      "  }\n",
+      "  hdf5_data_param {\n",
+      "    source: \"hdf5_classification/data/train.txt\"\n",
+      "    batch_size: 10\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc1\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"data\"\n",
+      "  top: \"fc1\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 40\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu1\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"fc1\"\n",
+      "  top: \"fc1\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc2\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"fc1\"\n",
+      "  top: \"fc2\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 2\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"loss\"\n",
+      "  type: \"SoftmaxWithLoss\"\n",
+      "  bottom: \"fc2\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"loss\"\n",
+      "}\n",
+      "I0307 01:34:31.873246 2099749632 layer_factory.hpp:74] Creating layer data\n",
+      "I0307 01:34:31.873276 2099749632 net.cpp:84] Creating Layer data\n",
+      "I0307 01:34:31.873292 2099749632 net.cpp:338] data -> data\n",
+      "I0307 01:34:31.873332 2099749632 net.cpp:338] data -> label\n",
+      "I0307 01:34:31.873352 2099749632 net.cpp:113] Setting up data\n",
+      "I0307 01:34:31.873361 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/train.txt\n",
+      "I0307 01:34:31.873443 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 2\n",
+      "I0307 01:34:31.875783 2099749632 net.cpp:120] Top shape: 10 4 (40)\n",
+      "I0307 01:34:31.875816 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:31.875829 2099749632 layer_factory.hpp:74] Creating layer fc1\n",
+      "I0307 01:34:31.875846 2099749632 net.cpp:84] Creating Layer fc1\n",
+      "I0307 01:34:31.875857 2099749632 net.cpp:380] fc1 <- data\n",
+      "I0307 01:34:31.875875 2099749632 net.cpp:338] fc1 -> fc1\n",
+      "I0307 01:34:31.875892 2099749632 net.cpp:113] Setting up fc1\n",
+      "I0307 01:34:31.882478 2099749632 net.cpp:120] Top shape: 10 40 (400)\n",
+      "I0307 01:34:31.882505 2099749632 layer_factory.hpp:74] Creating layer relu1\n",
+      "I0307 01:34:31.882524 2099749632 net.cpp:84] Creating Layer relu1\n",
+      "I0307 01:34:31.882532 2099749632 net.cpp:380] relu1 <- fc1\n",
+      "I0307 01:34:31.882544 2099749632 net.cpp:327] relu1 -> fc1 (in-place)\n",
+      "I0307 01:34:31.882555 2099749632 net.cpp:113] Setting up relu1\n",
+      "I0307 01:34:31.882565 2099749632 net.cpp:120] Top shape: 10 40 (400)\n",
+      "I0307 01:34:31.882583 2099749632 layer_factory.hpp:74] Creating layer fc2\n",
+      "I0307 01:34:31.882609 2099749632 net.cpp:84] Creating Layer fc2\n",
+      "I0307 01:34:31.882619 2099749632 net.cpp:380] fc2 <- fc1\n",
+      "I0307 01:34:31.882632 2099749632 net.cpp:338] fc2 -> fc2\n",
+      "I0307 01:34:31.882644 2099749632 net.cpp:113] Setting up fc2\n",
+      "I0307 01:34:31.882663 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:31.882678 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:31.882694 2099749632 net.cpp:84] Creating Layer loss\n",
+      "I0307 01:34:31.882704 2099749632 net.cpp:380] loss <- fc2\n",
+      "I0307 01:34:31.882712 2099749632 net.cpp:380] loss <- label\n",
+      "I0307 01:34:31.882779 2099749632 net.cpp:338] loss -> loss\n",
+      "I0307 01:34:31.882796 2099749632 net.cpp:113] Setting up loss\n",
+      "I0307 01:34:31.882810 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:31.882833 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:31.882844 2099749632 net.cpp:122]     with loss weight 1\n",
+      "I0307 01:34:31.882860 2099749632 net.cpp:167] loss needs backward computation.\n",
+      "I0307 01:34:31.882869 2099749632 net.cpp:167] fc2 needs backward computation.\n",
+      "I0307 01:34:31.882877 2099749632 net.cpp:167] relu1 needs backward computation.\n",
+      "I0307 01:34:31.882886 2099749632 net.cpp:167] fc1 needs backward computation.\n",
+      "I0307 01:34:31.882894 2099749632 net.cpp:169] data does not need backward computation.\n",
+      "I0307 01:34:31.882904 2099749632 net.cpp:205] This network produces output loss\n",
+      "I0307 01:34:31.882931 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\n",
+      "I0307 01:34:31.882942 2099749632 net.cpp:217] Network initialization done.\n",
+      "I0307 01:34:31.882951 2099749632 net.cpp:218] Memory required for data: 3484\n",
+      "I0307 01:34:31.883157 2099749632 solver.cpp:154] Creating test net (#0) specified by net file: hdf5_classification/train_val2.prototxt\n",
+      "I0307 01:34:31.883189 2099749632 net.cpp:257] The NetState phase (1) differed from the phase (0) specified by a rule in layer data\n",
+      "I0307 01:34:31.883203 2099749632 net.cpp:42] Initializing net from parameters: \n",
+      "name: \"LogisticRegressionNet\"\n",
+      "state {\n",
+      "  phase: TEST\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"data\"\n",
+      "  type: \"HDF5Data\"\n",
+      "  top: \"data\"\n",
+      "  top: \"label\"\n",
+      "  include {\n",
+      "    phase: TEST\n",
+      "  }\n",
+      "  hdf5_data_param {\n",
+      "    source: \"hdf5_classification/data/test.txt\"\n",
+      "    batch_size: 10\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc1\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"data\"\n",
+      "  top: \"fc1\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 40\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"relu1\"\n",
+      "  type: \"ReLU\"\n",
+      "  bottom: \"fc1\"\n",
+      "  top: \"fc1\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"fc2\"\n",
+      "  type: \"InnerProduct\"\n",
+      "  bottom: \"fc1\"\n",
+      "  top: \"fc2\"\n",
+      "  param {\n",
+      "    lr_mult: 1\n",
+      "    decay_mult: 1\n",
+      "  }\n",
+      "  param {\n",
+      "    lr_mult: 2\n",
+      "    decay_mult: 0\n",
+      "  }\n",
+      "  inner_product_param {\n",
+      "    num_output: 2\n",
+      "    weight_filler {\n",
+      "      type: \"gaussian\"\n",
+      "      std: 0.01\n",
+      "    }\n",
+      "    bias_filler {\n",
+      "      type: \"constant\"\n",
+      "      value: 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"loss\"\n",
+      "  type: \"SoftmaxWithLoss\"\n",
+      "  bottom: \"fc2\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"loss\"\n",
+      "}\n",
+      "layer {\n",
+      "  name: \"accuracy\"\n",
+      "  type: \"Accuracy\"\n",
+      "  bottom: \"fc2\"\n",
+      "  bottom: \"label\"\n",
+      "  top: \"accuracy\"\n",
+      "  include {\n",
+      "    phase: TEST\n",
+      "  }\n",
+      "}\n",
+      "I0307 01:34:31.883535 2099749632 layer_factory.hpp:74] Creating layer data\n",
+      "I0307 01:34:31.883548 2099749632 net.cpp:84] Creating Layer data\n",
+      "I0307 01:34:31.883556 2099749632 net.cpp:338] data -> data\n",
+      "I0307 01:34:31.883569 2099749632 net.cpp:338] data -> label\n",
+      "I0307 01:34:31.883579 2099749632 net.cpp:113] Setting up data\n",
+      "I0307 01:34:31.883585 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/test.txt\n",
+      "I0307 01:34:31.883664 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 1\n",
+      "I0307 01:34:31.884842 2099749632 net.cpp:120] Top shape: 10 4 (40)\n",
+      "I0307 01:34:31.884860 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:31.884870 2099749632 layer_factory.hpp:74] Creating layer label_data_1_split\n",
+      "I0307 01:34:31.884879 2099749632 net.cpp:84] Creating Layer label_data_1_split\n",
+      "I0307 01:34:31.884886 2099749632 net.cpp:380] label_data_1_split <- label\n",
+      "I0307 01:34:31.884896 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_0\n",
+      "I0307 01:34:31.884909 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_1\n",
+      "I0307 01:34:31.884919 2099749632 net.cpp:113] Setting up label_data_1_split\n",
+      "I0307 01:34:31.884927 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:31.884934 2099749632 net.cpp:120] Top shape: 10 (10)\n",
+      "I0307 01:34:31.884941 2099749632 layer_factory.hpp:74] Creating layer fc1\n",
+      "I0307 01:34:31.884951 2099749632 net.cpp:84] Creating Layer fc1\n",
+      "I0307 01:34:31.884958 2099749632 net.cpp:380] fc1 <- data\n",
+      "I0307 01:34:31.884989 2099749632 net.cpp:338] fc1 -> fc1\n",
+      "I0307 01:34:31.885000 2099749632 net.cpp:113] Setting up fc1\n",
+      "I0307 01:34:31.885017 2099749632 net.cpp:120] Top shape: 10 40 (400)\n",
+      "I0307 01:34:31.885030 2099749632 layer_factory.hpp:74] Creating layer relu1\n",
+      "I0307 01:34:31.885041 2099749632 net.cpp:84] Creating Layer relu1\n",
+      "I0307 01:34:31.885048 2099749632 net.cpp:380] relu1 <- fc1\n",
+      "I0307 01:34:31.885056 2099749632 net.cpp:327] relu1 -> fc1 (in-place)\n",
+      "I0307 01:34:31.885064 2099749632 net.cpp:113] Setting up relu1\n",
+      "I0307 01:34:31.885071 2099749632 net.cpp:120] Top shape: 10 40 (400)\n",
+      "I0307 01:34:31.885079 2099749632 layer_factory.hpp:74] Creating layer fc2\n",
+      "I0307 01:34:31.885088 2099749632 net.cpp:84] Creating Layer fc2\n",
+      "I0307 01:34:31.885094 2099749632 net.cpp:380] fc2 <- fc1\n",
+      "I0307 01:34:31.885103 2099749632 net.cpp:338] fc2 -> fc2\n",
+      "I0307 01:34:31.885113 2099749632 net.cpp:113] Setting up fc2\n",
+      "I0307 01:34:31.885126 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:31.885138 2099749632 layer_factory.hpp:74] Creating layer fc2_fc2_0_split\n",
+      "I0307 01:34:31.885149 2099749632 net.cpp:84] Creating Layer fc2_fc2_0_split\n",
+      "I0307 01:34:31.885155 2099749632 net.cpp:380] fc2_fc2_0_split <- fc2\n",
+      "I0307 01:34:31.885164 2099749632 net.cpp:338] fc2_fc2_0_split -> fc2_fc2_0_split_0\n",
+      "I0307 01:34:31.885174 2099749632 net.cpp:338] fc2_fc2_0_split -> fc2_fc2_0_split_1\n",
+      "I0307 01:34:31.885182 2099749632 net.cpp:113] Setting up fc2_fc2_0_split\n",
+      "I0307 01:34:31.885190 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:31.885242 2099749632 net.cpp:120] Top shape: 10 2 (20)\n",
+      "I0307 01:34:31.885256 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:31.885267 2099749632 net.cpp:84] Creating Layer loss\n",
+      "I0307 01:34:31.885275 2099749632 net.cpp:380] loss <- fc2_fc2_0_split_0\n",
+      "I0307 01:34:31.885285 2099749632 net.cpp:380] loss <- label_data_1_split_0\n",
+      "I0307 01:34:31.885296 2099749632 net.cpp:338] loss -> loss\n",
+      "I0307 01:34:31.885308 2099749632 net.cpp:113] Setting up loss\n",
+      "I0307 01:34:31.885316 2099749632 layer_factory.hpp:74] Creating layer loss\n",
+      "I0307 01:34:31.885330 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:31.885337 2099749632 net.cpp:122]     with loss weight 1\n",
+      "I0307 01:34:31.885346 2099749632 layer_factory.hpp:74] Creating layer accuracy\n",
+      "I0307 01:34:31.885360 2099749632 net.cpp:84] Creating Layer accuracy\n",
+      "I0307 01:34:31.885368 2099749632 net.cpp:380] accuracy <- fc2_fc2_0_split_1\n",
+      "I0307 01:34:31.885375 2099749632 net.cpp:380] accuracy <- label_data_1_split_1\n",
+      "I0307 01:34:31.885383 2099749632 net.cpp:338] accuracy -> accuracy\n",
+      "I0307 01:34:31.885392 2099749632 net.cpp:113] Setting up accuracy\n",
+      "I0307 01:34:31.885401 2099749632 net.cpp:120] Top shape: (1)\n",
+      "I0307 01:34:31.885407 2099749632 net.cpp:169] accuracy does not need backward computation.\n",
+      "I0307 01:34:31.885413 2099749632 net.cpp:167] loss needs backward computation.\n",
+      "I0307 01:34:31.885419 2099749632 net.cpp:167] fc2_fc2_0_split needs backward computation.\n",
+      "I0307 01:34:31.885426 2099749632 net.cpp:167] fc2 needs backward computation.\n",
+      "I0307 01:34:31.885432 2099749632 net.cpp:167] relu1 needs backward computation.\n",
+      "I0307 01:34:31.885438 2099749632 net.cpp:167] fc1 needs backward computation.\n",
+      "I0307 01:34:31.885444 2099749632 net.cpp:169] label_data_1_split does not need backward computation.\n",
+      "I0307 01:34:31.885452 2099749632 net.cpp:169] data does not need backward computation.\n",
+      "I0307 01:34:31.885457 2099749632 net.cpp:205] This network produces output accuracy\n",
+      "I0307 01:34:31.885613 2099749632 net.cpp:205] This network produces output loss\n",
+      "I0307 01:34:31.885632 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\n",
+      "I0307 01:34:31.885639 2099749632 net.cpp:217] Network initialization done.\n",
+      "I0307 01:34:31.885645 2099749632 net.cpp:218] Memory required for data: 3728\n",
+      "I0307 01:34:31.885685 2099749632 solver.cpp:42] Solver scaffolding done.\n",
+      "I0307 01:34:31.885711 2099749632 solver.cpp:222] Solving LogisticRegressionNet\n",
+      "I0307 01:34:31.885721 2099749632 solver.cpp:223] Learning Rate Policy: step\n",
+      "I0307 01:34:31.885730 2099749632 solver.cpp:266] Iteration 0, Testing net (#0)\n",
+      "I0307 01:34:31.901005 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.5944\n",
+      "I0307 01:34:31.901049 2099749632 solver.cpp:315]     Test net output #1: loss = 0.693021 (* 1 = 0.693021 loss)\n",
+      "I0307 01:34:31.901177 2099749632 solver.cpp:189] Iteration 0, loss = 0.693163\n",
+      "I0307 01:34:31.901192 2099749632 solver.cpp:204]     Train net output #0: loss = 0.693163 (* 1 = 0.693163 loss)\n",
+      "I0307 01:34:31.901203 2099749632 solver.cpp:464] Iteration 0, lr = 0.01\n",
+      "I0307 01:34:31.920586 2099749632 solver.cpp:266] Iteration 1000, Testing net (#0)\n",
+      "I0307 01:34:31.924612 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7556\n",
+      "I0307 01:34:31.924646 2099749632 solver.cpp:315]     Test net output #1: loss = 0.511002 (* 1 = 0.511002 loss)\n",
+      "I0307 01:34:31.924684 2099749632 solver.cpp:189] Iteration 1000, loss = 0.38536\n",
+      "I0307 01:34:31.924696 2099749632 solver.cpp:204]     Train net output #0: loss = 0.38536 (* 1 = 0.38536 loss)\n",
+      "I0307 01:34:31.924706 2099749632 solver.cpp:464] Iteration 1000, lr = 0.01\n",
+      "I0307 01:34:31.944727 2099749632 solver.cpp:266] Iteration 2000, Testing net (#0)\n",
+      "I0307 01:34:31.948729 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7824\n",
+      "I0307 01:34:31.948763 2099749632 solver.cpp:315]     Test net output #1: loss = 0.489214 (* 1 = 0.489214 loss)\n",
+      "I0307 01:34:31.948799 2099749632 solver.cpp:189] Iteration 2000, loss = 0.532582\n",
+      "I0307 01:34:31.948812 2099749632 solver.cpp:204]     Train net output #0: loss = 0.532582 (* 1 = 0.532582 loss)\n",
+      "I0307 01:34:31.948823 2099749632 solver.cpp:464] Iteration 2000, lr = 0.01\n",
+      "I0307 01:34:31.968670 2099749632 solver.cpp:266] Iteration 3000, Testing net (#0)\n",
+      "I0307 01:34:31.972393 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7956\n",
+      "I0307 01:34:31.972411 2099749632 solver.cpp:315]     Test net output #1: loss = 0.454184 (* 1 = 0.454184 loss)\n",
+      "I0307 01:34:31.973024 2099749632 solver.cpp:189] Iteration 3000, loss = 0.541374\n",
+      "I0307 01:34:31.973057 2099749632 solver.cpp:204]     Train net output #0: loss = 0.541374 (* 1 = 0.541374 loss)\n",
+      "I0307 01:34:31.973067 2099749632 solver.cpp:464] Iteration 3000, lr = 0.01\n",
+      "I0307 01:34:31.994829 2099749632 solver.cpp:266] Iteration 4000, Testing net (#0)\n",
+      "I0307 01:34:31.998638 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.798\n",
+      "I0307 01:34:31.998663 2099749632 solver.cpp:315]     Test net output #1: loss = 0.456348 (* 1 = 0.456348 loss)\n",
+      "I0307 01:34:31.998705 2099749632 solver.cpp:189] Iteration 4000, loss = 0.490437\n",
+      "I0307 01:34:31.998718 2099749632 solver.cpp:204]     Train net output #0: loss = 0.490437 (* 1 = 0.490437 loss)\n",
+      "I0307 01:34:31.998725 2099749632 solver.cpp:464] Iteration 4000, lr = 0.01\n",
+      "I0307 01:34:32.021085 2099749632 solver.cpp:266] Iteration 5000, Testing net (#0)\n",
+      "I0307 01:34:32.024950 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.804\n",
+      "I0307 01:34:32.024981 2099749632 solver.cpp:315]     Test net output #1: loss = 0.46184 (* 1 = 0.46184 loss)\n",
+      "I0307 01:34:32.025017 2099749632 solver.cpp:189] Iteration 5000, loss = 0.467703\n",
+      "I0307 01:34:32.025028 2099749632 solver.cpp:204]     Train net output #0: loss = 0.467704 (* 1 = 0.467704 loss)\n",
+      "I0307 01:34:32.025038 2099749632 solver.cpp:464] Iteration 5000, lr = 0.001\n",
+      "I0307 01:34:32.044390 2099749632 solver.cpp:266] Iteration 6000, Testing net (#0)\n",
+      "I0307 01:34:32.048216 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8208\n",
+      "I0307 01:34:32.048239 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423084 (* 1 = 0.423084 loss)\n",
+      "I0307 01:34:32.048790 2099749632 solver.cpp:189] Iteration 6000, loss = 0.480104\n",
+      "I0307 01:34:32.048809 2099749632 solver.cpp:204]     Train net output #0: loss = 0.480105 (* 1 = 0.480105 loss)\n",
+      "I0307 01:34:32.048827 2099749632 solver.cpp:464] Iteration 6000, lr = 0.001\n",
+      "I0307 01:34:32.067795 2099749632 solver.cpp:266] Iteration 7000, Testing net (#0)\n",
+      "I0307 01:34:32.071524 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8124\n",
+      "I0307 01:34:32.071542 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423947 (* 1 = 0.423947 loss)\n",
+      "I0307 01:34:32.071570 2099749632 solver.cpp:189] Iteration 7000, loss = 0.447471\n",
+      "I0307 01:34:32.071617 2099749632 solver.cpp:204]     Train net output #0: loss = 0.447472 (* 1 = 0.447472 loss)\n",
+      "I0307 01:34:32.071626 2099749632 solver.cpp:464] Iteration 7000, lr = 0.001\n",
+      "I0307 01:34:32.091625 2099749632 solver.cpp:266] Iteration 8000, Testing net (#0)\n",
+      "I0307 01:34:32.095410 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.814\n",
+      "I0307 01:34:32.095432 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423586 (* 1 = 0.423586 loss)\n",
+      "I0307 01:34:32.095461 2099749632 solver.cpp:189] Iteration 8000, loss = 0.386258\n",
+      "I0307 01:34:32.095474 2099749632 solver.cpp:204]     Train net output #0: loss = 0.386259 (* 1 = 0.386259 loss)\n",
+      "I0307 01:34:32.095481 2099749632 solver.cpp:464] Iteration 8000, lr = 0.001\n",
+      "I0307 01:34:32.117184 2099749632 solver.cpp:266] Iteration 9000, Testing net (#0)\n",
+      "I0307 01:34:32.121587 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8208\n",
+      "I0307 01:34:32.121608 2099749632 solver.cpp:315]     Test net output #1: loss = 0.419969 (* 1 = 0.419969 loss)\n",
+      "I0307 01:34:32.122161 2099749632 solver.cpp:189] Iteration 9000, loss = 0.468262\n",
+      "I0307 01:34:32.122181 2099749632 solver.cpp:204]     Train net output #0: loss = 0.468262 (* 1 = 0.468262 loss)\n",
+      "I0307 01:34:32.122191 2099749632 solver.cpp:464] Iteration 9000, lr = 0.001\n",
+      "I0307 01:34:32.141635 2099749632 solver.cpp:334] Snapshotting to hdf5_classification/data/train_iter_10000.caffemodel\n",
+      "I0307 01:34:32.141860 2099749632 solver.cpp:342] Snapshotting solver state to hdf5_classification/data/train_iter_10000.solverstate\n",
+      "I0307 01:34:32.141978 2099749632 solver.cpp:248] Iteration 10000, loss = 0.441529\n",
+      "I0307 01:34:32.141995 2099749632 solver.cpp:266] Iteration 10000, Testing net (#0)\n",
+      "I0307 01:34:32.145747 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8148\n",
+      "I0307 01:34:32.145771 2099749632 solver.cpp:315]     Test net output #1: loss = 0.4216 (* 1 = 0.4216 loss)\n",
+      "I0307 01:34:32.145779 2099749632 solver.cpp:253] Optimization Done.\n",
+      "I0307 01:34:32.145786 2099749632 caffe.cpp:121] Optimization Done.\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "!../build/tools/caffe train -solver hdf5_classification/solver2.prototxt"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:31.589234 2099749632 caffe.cpp:103] Use CPU.\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:31.872560 2099749632 caffe.cpp:107] Starting Optimization\r\n",
-        "I0307 01:34:31.872596 2099749632 solver.cpp:32] Initializing solver from parameters: \r\n",
-        "test_iter: 250\r\n",
-        "test_interval: 1000\r\n",
-        "base_lr: 0.01\r\n",
-        "display: 1000\r\n",
-        "max_iter: 10000\r\n",
-        "lr_policy: \"step\"\r\n",
-        "gamma: 0.1\r\n",
-        "momentum: 0.9\r\n",
-        "weight_decay: 0.0005\r\n",
-        "stepsize: 5000\r\n",
-        "snapshot: 10000\r\n",
-        "snapshot_prefix: \"hdf5_classification/data/train\"\r\n",
-        "solver_mode: CPU\r\n",
-        "net: \"hdf5_classification/train_val2.prototxt\"\r\n",
-        "I0307 01:34:31.872687 2099749632 solver.cpp:70] Creating training net from net file: hdf5_classification/train_val2.prototxt\r\n",
-        "I0307 01:34:31.872865 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer data\r\n",
-        "I0307 01:34:31.872882 2099749632 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy\r\n",
-        "I0307 01:34:31.872891 2099749632 net.cpp:42] Initializing net from parameters: \r\n",
-        "name: \"LogisticRegressionNet\"\r\n",
-        "state {\r\n",
-        "  phase: TRAIN\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"data\"\r\n",
-        "  type: \"HDF5Data\"\r\n",
-        "  top: \"data\"\r\n",
-        "  top: \"label\"\r\n",
-        "  include {\r\n",
-        "    phase: TRAIN\r\n",
-        "  }\r\n",
-        "  hdf5_data_param {\r\n",
-        "    source: \"hdf5_classification/data/train.txt\"\r\n",
-        "    batch_size: 10\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc1\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"data\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 40\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu1\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc2\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  top: \"fc2\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 2\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"loss\"\r\n",
-        "  type: \"SoftmaxWithLoss\"\r\n",
-        "  bottom: \"fc2\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"loss\"\r\n",
-        "}\r\n",
-        "I0307 01:34:31.873246 2099749632 layer_factory.hpp:74] Creating layer data\r\n",
-        "I0307 01:34:31.873276 2099749632 net.cpp:84] Creating Layer data\r\n",
-        "I0307 01:34:31.873292 2099749632 net.cpp:338] data -> data\r\n",
-        "I0307 01:34:31.873332 2099749632 net.cpp:338] data -> label\r\n",
-        "I0307 01:34:31.873352 2099749632 net.cpp:113] Setting up data\r\n",
-        "I0307 01:34:31.873361 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/train.txt\r\n",
-        "I0307 01:34:31.873443 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 2\r\n",
-        "I0307 01:34:31.875783 2099749632 net.cpp:120] Top shape: 10 4 (40)\r\n",
-        "I0307 01:34:31.875816 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:31.875829 2099749632 layer_factory.hpp:74] Creating layer fc1\r\n",
-        "I0307 01:34:31.875846 2099749632 net.cpp:84] Creating Layer fc1\r\n",
-        "I0307 01:34:31.875857 2099749632 net.cpp:380] fc1 <- data\r\n",
-        "I0307 01:34:31.875875 2099749632 net.cpp:338] fc1 -> fc1\r\n",
-        "I0307 01:34:31.875892 2099749632 net.cpp:113] Setting up fc1\r\n",
-        "I0307 01:34:31.882478 2099749632 net.cpp:120] Top shape: 10 40 (400)\r\n",
-        "I0307 01:34:31.882505 2099749632 layer_factory.hpp:74] Creating layer relu1\r\n",
-        "I0307 01:34:31.882524 2099749632 net.cpp:84] Creating Layer relu1\r\n",
-        "I0307 01:34:31.882532 2099749632 net.cpp:380] relu1 <- fc1\r\n",
-        "I0307 01:34:31.882544 2099749632 net.cpp:327] relu1 -> fc1 (in-place)\r\n",
-        "I0307 01:34:31.882555 2099749632 net.cpp:113] Setting up relu1\r\n",
-        "I0307 01:34:31.882565 2099749632 net.cpp:120] Top shape: 10 40 (400)\r\n",
-        "I0307 01:34:31.882583 2099749632 layer_factory.hpp:74] Creating layer fc2\r\n",
-        "I0307 01:34:31.882609 2099749632 net.cpp:84] Creating Layer fc2\r\n",
-        "I0307 01:34:31.882619 2099749632 net.cpp:380] fc2 <- fc1\r\n",
-        "I0307 01:34:31.882632 2099749632 net.cpp:338] fc2 -> fc2\r\n",
-        "I0307 01:34:31.882644 2099749632 net.cpp:113] Setting up fc2\r\n",
-        "I0307 01:34:31.882663 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:31.882678 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:31.882694 2099749632 net.cpp:84] Creating Layer loss\r\n",
-        "I0307 01:34:31.882704 2099749632 net.cpp:380] loss <- fc2\r\n",
-        "I0307 01:34:31.882712 2099749632 net.cpp:380] loss <- label\r\n",
-        "I0307 01:34:31.882779 2099749632 net.cpp:338] loss -> loss\r\n",
-        "I0307 01:34:31.882796 2099749632 net.cpp:113] Setting up loss\r\n",
-        "I0307 01:34:31.882810 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:31.882833 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:31.882844 2099749632 net.cpp:122]     with loss weight 1\r\n",
-        "I0307 01:34:31.882860 2099749632 net.cpp:167] loss needs backward computation.\r\n",
-        "I0307 01:34:31.882869 2099749632 net.cpp:167] fc2 needs backward computation.\r\n",
-        "I0307 01:34:31.882877 2099749632 net.cpp:167] relu1 needs backward computation.\r\n",
-        "I0307 01:34:31.882886 2099749632 net.cpp:167] fc1 needs backward computation.\r\n",
-        "I0307 01:34:31.882894 2099749632 net.cpp:169] data does not need backward computation.\r\n",
-        "I0307 01:34:31.882904 2099749632 net.cpp:205] This network produces output loss\r\n",
-        "I0307 01:34:31.882931 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\r\n",
-        "I0307 01:34:31.882942 2099749632 net.cpp:217] Network initialization done.\r\n",
-        "I0307 01:34:31.882951 2099749632 net.cpp:218] Memory required for data: 3484\r\n",
-        "I0307 01:34:31.883157 2099749632 solver.cpp:154] Creating test net (#0) specified by net file: hdf5_classification/train_val2.prototxt\r\n",
-        "I0307 01:34:31.883189 2099749632 net.cpp:257] The NetState phase (1) differed from the phase (0) specified by a rule in layer data\r\n",
-        "I0307 01:34:31.883203 2099749632 net.cpp:42] Initializing net from parameters: \r\n",
-        "name: \"LogisticRegressionNet\"\r\n",
-        "state {\r\n",
-        "  phase: TEST\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"data\"\r\n",
-        "  type: \"HDF5Data\"\r\n",
-        "  top: \"data\"\r\n",
-        "  top: \"label\"\r\n",
-        "  include {\r\n",
-        "    phase: TEST\r\n",
-        "  }\r\n",
-        "  hdf5_data_param {\r\n",
-        "    source: \"hdf5_classification/data/test.txt\"\r\n",
-        "    batch_size: 10\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc1\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"data\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 40\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"relu1\"\r\n",
-        "  type: \"ReLU\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  top: \"fc1\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"fc2\"\r\n",
-        "  type: \"InnerProduct\"\r\n",
-        "  bottom: \"fc1\"\r\n",
-        "  top: \"fc2\"\r\n",
-        "  param {\r\n",
-        "    lr_mult: 1\r\n",
-        "    decay_mult: 1\r\n",
-        "  }\r\n",
-        "  param {\r\n",
-        "    lr_mult: 2\r\n",
-        "    decay_mult: 0\r\n",
-        "  }\r\n",
-        "  inner_product_param {\r\n",
-        "    num_output: 2\r\n",
-        "    weight_filler {\r\n",
-        "      type: \"gaussian\"\r\n",
-        "      std: 0.01\r\n",
-        "    }\r\n",
-        "    bias_filler {\r\n",
-        "      type: \"constant\"\r\n",
-        "      value: 0\r\n",
-        "    }\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"loss\"\r\n",
-        "  type: \"SoftmaxWithLoss\"\r\n",
-        "  bottom: \"fc2\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"loss\"\r\n",
-        "}\r\n",
-        "layer {\r\n",
-        "  name: \"accuracy\"\r\n",
-        "  type: \"Accuracy\"\r\n",
-        "  bottom: \"fc2\"\r\n",
-        "  bottom: \"label\"\r\n",
-        "  top: \"accuracy\"\r\n",
-        "  include {\r\n",
-        "    phase: TEST\r\n",
-        "  }\r\n",
-        "}\r\n",
-        "I0307 01:34:31.883535 2099749632 layer_factory.hpp:74] Creating layer data\r\n",
-        "I0307 01:34:31.883548 2099749632 net.cpp:84] Creating Layer data\r\n",
-        "I0307 01:34:31.883556 2099749632 net.cpp:338] data -> data\r\n",
-        "I0307 01:34:31.883569 2099749632 net.cpp:338] data -> label\r\n",
-        "I0307 01:34:31.883579 2099749632 net.cpp:113] Setting up data\r\n",
-        "I0307 01:34:31.883585 2099749632 hdf5_data_layer.cpp:66] Loading list of HDF5 filenames from: hdf5_classification/data/test.txt\r\n",
-        "I0307 01:34:31.883664 2099749632 hdf5_data_layer.cpp:80] Number of HDF5 files: 1\r\n",
-        "I0307 01:34:31.884842 2099749632 net.cpp:120] Top shape: 10 4 (40)\r\n",
-        "I0307 01:34:31.884860 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:31.884870 2099749632 layer_factory.hpp:74] Creating layer label_data_1_split\r\n",
-        "I0307 01:34:31.884879 2099749632 net.cpp:84] Creating Layer label_data_1_split\r\n",
-        "I0307 01:34:31.884886 2099749632 net.cpp:380] label_data_1_split <- label\r\n",
-        "I0307 01:34:31.884896 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_0\r\n",
-        "I0307 01:34:31.884909 2099749632 net.cpp:338] label_data_1_split -> label_data_1_split_1\r\n",
-        "I0307 01:34:31.884919 2099749632 net.cpp:113] Setting up label_data_1_split\r\n",
-        "I0307 01:34:31.884927 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:31.884934 2099749632 net.cpp:120] Top shape: 10 (10)\r\n",
-        "I0307 01:34:31.884941 2099749632 layer_factory.hpp:74] Creating layer fc1\r\n",
-        "I0307 01:34:31.884951 2099749632 net.cpp:84] Creating Layer fc1\r\n",
-        "I0307 01:34:31.884958 2099749632 net.cpp:380] fc1 <- data\r\n",
-        "I0307 01:34:31.884989 2099749632 net.cpp:338] fc1 -> fc1\r\n",
-        "I0307 01:34:31.885000 2099749632 net.cpp:113] Setting up fc1\r\n",
-        "I0307 01:34:31.885017 2099749632 net.cpp:120] Top shape: 10 40 (400)\r\n",
-        "I0307 01:34:31.885030 2099749632 layer_factory.hpp:74] Creating layer relu1\r\n",
-        "I0307 01:34:31.885041 2099749632 net.cpp:84] Creating Layer relu1\r\n",
-        "I0307 01:34:31.885048 2099749632 net.cpp:380] relu1 <- fc1\r\n",
-        "I0307 01:34:31.885056 2099749632 net.cpp:327] relu1 -> fc1 (in-place)\r\n",
-        "I0307 01:34:31.885064 2099749632 net.cpp:113] Setting up relu1\r\n",
-        "I0307 01:34:31.885071 2099749632 net.cpp:120] Top shape: 10 40 (400)\r\n",
-        "I0307 01:34:31.885079 2099749632 layer_factory.hpp:74] Creating layer fc2\r\n",
-        "I0307 01:34:31.885088 2099749632 net.cpp:84] Creating Layer fc2\r\n",
-        "I0307 01:34:31.885094 2099749632 net.cpp:380] fc2 <- fc1\r\n",
-        "I0307 01:34:31.885103 2099749632 net.cpp:338] fc2 -> fc2\r\n",
-        "I0307 01:34:31.885113 2099749632 net.cpp:113] Setting up fc2\r\n",
-        "I0307 01:34:31.885126 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:31.885138 2099749632 layer_factory.hpp:74] Creating layer fc2_fc2_0_split\r\n",
-        "I0307 01:34:31.885149 2099749632 net.cpp:84] Creating Layer fc2_fc2_0_split\r\n",
-        "I0307 01:34:31.885155 2099749632 net.cpp:380] fc2_fc2_0_split <- fc2\r\n",
-        "I0307 01:34:31.885164 2099749632 net.cpp:338] fc2_fc2_0_split -> fc2_fc2_0_split_0\r\n",
-        "I0307 01:34:31.885174 2099749632 net.cpp:338] fc2_fc2_0_split -> fc2_fc2_0_split_1\r\n",
-        "I0307 01:34:31.885182 2099749632 net.cpp:113] Setting up fc2_fc2_0_split\r\n",
-        "I0307 01:34:31.885190 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:31.885242 2099749632 net.cpp:120] Top shape: 10 2 (20)\r\n",
-        "I0307 01:34:31.885256 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:31.885267 2099749632 net.cpp:84] Creating Layer loss\r\n",
-        "I0307 01:34:31.885275 2099749632 net.cpp:380] loss <- fc2_fc2_0_split_0\r\n",
-        "I0307 01:34:31.885285 2099749632 net.cpp:380] loss <- label_data_1_split_0\r\n",
-        "I0307 01:34:31.885296 2099749632 net.cpp:338] loss -> loss\r\n",
-        "I0307 01:34:31.885308 2099749632 net.cpp:113] Setting up loss\r\n",
-        "I0307 01:34:31.885316 2099749632 layer_factory.hpp:74] Creating layer loss\r\n",
-        "I0307 01:34:31.885330 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:31.885337 2099749632 net.cpp:122]     with loss weight 1\r\n",
-        "I0307 01:34:31.885346 2099749632 layer_factory.hpp:74] Creating layer accuracy\r\n",
-        "I0307 01:34:31.885360 2099749632 net.cpp:84] Creating Layer accuracy\r\n",
-        "I0307 01:34:31.885368 2099749632 net.cpp:380] accuracy <- fc2_fc2_0_split_1\r\n",
-        "I0307 01:34:31.885375 2099749632 net.cpp:380] accuracy <- label_data_1_split_1\r\n",
-        "I0307 01:34:31.885383 2099749632 net.cpp:338] accuracy -> accuracy\r\n",
-        "I0307 01:34:31.885392 2099749632 net.cpp:113] Setting up accuracy\r\n",
-        "I0307 01:34:31.885401 2099749632 net.cpp:120] Top shape: (1)\r\n",
-        "I0307 01:34:31.885407 2099749632 net.cpp:169] accuracy does not need backward computation.\r\n",
-        "I0307 01:34:31.885413 2099749632 net.cpp:167] loss needs backward computation.\r\n",
-        "I0307 01:34:31.885419 2099749632 net.cpp:167] fc2_fc2_0_split needs backward computation.\r\n",
-        "I0307 01:34:31.885426 2099749632 net.cpp:167] fc2 needs backward computation.\r\n",
-        "I0307 01:34:31.885432 2099749632 net.cpp:167] relu1 needs backward computation.\r\n",
-        "I0307 01:34:31.885438 2099749632 net.cpp:167] fc1 needs backward computation.\r\n",
-        "I0307 01:34:31.885444 2099749632 net.cpp:169] label_data_1_split does not need backward computation.\r\n",
-        "I0307 01:34:31.885452 2099749632 net.cpp:169] data does not need backward computation.\r\n",
-        "I0307 01:34:31.885457 2099749632 net.cpp:205] This network produces output accuracy\r\n",
-        "I0307 01:34:31.885613 2099749632 net.cpp:205] This network produces output loss\r\n",
-        "I0307 01:34:31.885632 2099749632 net.cpp:447] Collecting Learning Rate and Weight Decay.\r\n",
-        "I0307 01:34:31.885639 2099749632 net.cpp:217] Network initialization done.\r\n",
-        "I0307 01:34:31.885645 2099749632 net.cpp:218] Memory required for data: 3728\r\n",
-        "I0307 01:34:31.885685 2099749632 solver.cpp:42] Solver scaffolding done.\r\n",
-        "I0307 01:34:31.885711 2099749632 solver.cpp:222] Solving LogisticRegressionNet\r\n",
-        "I0307 01:34:31.885721 2099749632 solver.cpp:223] Learning Rate Policy: step\r\n",
-        "I0307 01:34:31.885730 2099749632 solver.cpp:266] Iteration 0, Testing net (#0)\r\n",
-        "I0307 01:34:31.901005 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.5944\r\n",
-        "I0307 01:34:31.901049 2099749632 solver.cpp:315]     Test net output #1: loss = 0.693021 (* 1 = 0.693021 loss)\r\n",
-        "I0307 01:34:31.901177 2099749632 solver.cpp:189] Iteration 0, loss = 0.693163\r\n",
-        "I0307 01:34:31.901192 2099749632 solver.cpp:204]     Train net output #0: loss = 0.693163 (* 1 = 0.693163 loss)\r\n",
-        "I0307 01:34:31.901203 2099749632 solver.cpp:464] Iteration 0, lr = 0.01\r\n",
-        "I0307 01:34:31.920586 2099749632 solver.cpp:266] Iteration 1000, Testing net (#0)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:31.924612 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7556\r\n",
-        "I0307 01:34:31.924646 2099749632 solver.cpp:315]     Test net output #1: loss = 0.511002 (* 1 = 0.511002 loss)\r\n",
-        "I0307 01:34:31.924684 2099749632 solver.cpp:189] Iteration 1000, loss = 0.38536\r\n",
-        "I0307 01:34:31.924696 2099749632 solver.cpp:204]     Train net output #0: loss = 0.38536 (* 1 = 0.38536 loss)\r\n",
-        "I0307 01:34:31.924706 2099749632 solver.cpp:464] Iteration 1000, lr = 0.01\r\n",
-        "I0307 01:34:31.944727 2099749632 solver.cpp:266] Iteration 2000, Testing net (#0)\r\n",
-        "I0307 01:34:31.948729 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7824\r\n",
-        "I0307 01:34:31.948763 2099749632 solver.cpp:315]     Test net output #1: loss = 0.489214 (* 1 = 0.489214 loss)\r\n",
-        "I0307 01:34:31.948799 2099749632 solver.cpp:189] Iteration 2000, loss = 0.532582\r\n",
-        "I0307 01:34:31.948812 2099749632 solver.cpp:204]     Train net output #0: loss = 0.532582 (* 1 = 0.532582 loss)\r\n",
-        "I0307 01:34:31.948823 2099749632 solver.cpp:464] Iteration 2000, lr = 0.01\r\n",
-        "I0307 01:34:31.968670 2099749632 solver.cpp:266] Iteration 3000, Testing net (#0)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:31.972393 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.7956\r\n",
-        "I0307 01:34:31.972411 2099749632 solver.cpp:315]     Test net output #1: loss = 0.454184 (* 1 = 0.454184 loss)\r\n",
-        "I0307 01:34:31.973024 2099749632 solver.cpp:189] Iteration 3000, loss = 0.541374\r\n",
-        "I0307 01:34:31.973057 2099749632 solver.cpp:204]     Train net output #0: loss = 0.541374 (* 1 = 0.541374 loss)\r\n",
-        "I0307 01:34:31.973067 2099749632 solver.cpp:464] Iteration 3000, lr = 0.01\r\n",
-        "I0307 01:34:31.994829 2099749632 solver.cpp:266] Iteration 4000, Testing net (#0)\r\n",
-        "I0307 01:34:31.998638 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.798\r\n",
-        "I0307 01:34:31.998663 2099749632 solver.cpp:315]     Test net output #1: loss = 0.456348 (* 1 = 0.456348 loss)\r\n",
-        "I0307 01:34:31.998705 2099749632 solver.cpp:189] Iteration 4000, loss = 0.490437\r\n",
-        "I0307 01:34:31.998718 2099749632 solver.cpp:204]     Train net output #0: loss = 0.490437 (* 1 = 0.490437 loss)\r\n",
-        "I0307 01:34:31.998725 2099749632 solver.cpp:464] Iteration 4000, lr = 0.01\r\n",
-        "I0307 01:34:32.021085 2099749632 solver.cpp:266] Iteration 5000, Testing net (#0)\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:32.024950 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.804\r\n",
-        "I0307 01:34:32.024981 2099749632 solver.cpp:315]     Test net output #1: loss = 0.46184 (* 1 = 0.46184 loss)\r\n",
-        "I0307 01:34:32.025017 2099749632 solver.cpp:189] Iteration 5000, loss = 0.467703\r\n",
-        "I0307 01:34:32.025028 2099749632 solver.cpp:204]     Train net output #0: loss = 0.467704 (* 1 = 0.467704 loss)\r\n",
-        "I0307 01:34:32.025038 2099749632 solver.cpp:464] Iteration 5000, lr = 0.001\r\n",
-        "I0307 01:34:32.044390 2099749632 solver.cpp:266] Iteration 6000, Testing net (#0)\r\n",
-        "I0307 01:34:32.048216 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8208\r\n",
-        "I0307 01:34:32.048239 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423084 (* 1 = 0.423084 loss)\r\n",
-        "I0307 01:34:32.048790 2099749632 solver.cpp:189] Iteration 6000, loss = 0.480104\r\n",
-        "I0307 01:34:32.048809 2099749632 solver.cpp:204]     Train net output #0: loss = 0.480105 (* 1 = 0.480105 loss)\r\n",
-        "I0307 01:34:32.048827 2099749632 solver.cpp:464] Iteration 6000, lr = 0.001\r\n",
-        "I0307 01:34:32.067795 2099749632 solver.cpp:266] Iteration 7000, Testing net (#0)\r\n",
-        "I0307 01:34:32.071524 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8124\r\n",
-        "I0307 01:34:32.071542 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423947 (* 1 = 0.423947 loss)\r\n",
-        "I0307 01:34:32.071570 2099749632 solver.cpp:189] Iteration 7000, loss = 0.447471\r\n",
-        "I0307 01:34:32.071617 2099749632 solver.cpp:204]     Train net output #0: loss = 0.447472 (* 1 = 0.447472 loss)\r\n",
-        "I0307 01:34:32.071626 2099749632 solver.cpp:464] Iteration 7000, lr = 0.001\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:32.091625 2099749632 solver.cpp:266] Iteration 8000, Testing net (#0)\r\n",
-        "I0307 01:34:32.095410 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.814\r\n",
-        "I0307 01:34:32.095432 2099749632 solver.cpp:315]     Test net output #1: loss = 0.423586 (* 1 = 0.423586 loss)\r\n",
-        "I0307 01:34:32.095461 2099749632 solver.cpp:189] Iteration 8000, loss = 0.386258\r\n",
-        "I0307 01:34:32.095474 2099749632 solver.cpp:204]     Train net output #0: loss = 0.386259 (* 1 = 0.386259 loss)\r\n",
-        "I0307 01:34:32.095481 2099749632 solver.cpp:464] Iteration 8000, lr = 0.001\r\n",
-        "I0307 01:34:32.117184 2099749632 solver.cpp:266] Iteration 9000, Testing net (#0)\r\n",
-        "I0307 01:34:32.121587 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8208\r\n",
-        "I0307 01:34:32.121608 2099749632 solver.cpp:315]     Test net output #1: loss = 0.419969 (* 1 = 0.419969 loss)\r\n",
-        "I0307 01:34:32.122161 2099749632 solver.cpp:189] Iteration 9000, loss = 0.468262\r\n",
-        "I0307 01:34:32.122181 2099749632 solver.cpp:204]     Train net output #0: loss = 0.468262 (* 1 = 0.468262 loss)\r\n",
-        "I0307 01:34:32.122191 2099749632 solver.cpp:464] Iteration 9000, lr = 0.001\r\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "I0307 01:34:32.141635 2099749632 solver.cpp:334] Snapshotting to hdf5_classification/data/train_iter_10000.caffemodel\r\n",
-        "I0307 01:34:32.141860 2099749632 solver.cpp:342] Snapshotting solver state to hdf5_classification/data/train_iter_10000.solverstate\r\n",
-        "I0307 01:34:32.141978 2099749632 solver.cpp:248] Iteration 10000, loss = 0.441529\r\n",
-        "I0307 01:34:32.141995 2099749632 solver.cpp:266] Iteration 10000, Testing net (#0)\r\n",
-        "I0307 01:34:32.145747 2099749632 solver.cpp:315]     Test net output #0: accuracy = 0.8148\r\n",
-        "I0307 01:34:32.145771 2099749632 solver.cpp:315]     Test net output #1: loss = 0.4216 (* 1 = 0.4216 loss)\r\n",
-        "I0307 01:34:32.145779 2099749632 solver.cpp:253] Optimization Done.\r\n",
-        "I0307 01:34:32.145786 2099749632 caffe.cpp:121] Optimization Done.\r\n"
-       ]
-      }
-     ],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Clean up (comment this out if you want to examine the hdf5_classification/data directory).\n",
-      "shutil.rmtree(dirname)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 9
     }
    ],
-   "metadata": {}
+   "source": [
+    "!../build/tools/caffe train -solver hdf5_classification/solver2.prototxt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Clean up (comment this out if you want to examine the hdf5_classification/data directory).\n",
+    "shutil.rmtree(dirname)"
+   ]
   }
- ]
+ ],
+ "metadata": {
+  "description": "Use Caffe as a generic SGD optimizer to train logistic regression on non-image HDF5 data.",
+  "example_name": "Off-the-shelf SGD for classification",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
 }
index 75c9889..303c22b 100644 (file)
 {
- "metadata": {
-  "description": "How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.",
-  "example_name": "Editing model parameters",
-  "include_in_docs": true,
-  "priority": 5,
-  "signature": "sha256:f21c804f76329e70847ccb87e28a91e5d8a375f5da0ba6dd85d3b87a05bebd72"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "# Net Surgery\n",
-      "\n",
-      "Caffe networks can be transformed to your particular needs by editing the model parameters. The data, diffs, and parameters of a net are all exposed in pycaffe.\n",
-      "\n",
-      "Roll up your sleeves for net surgery with pycaffe!"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "import Image\n",
-      "\n",
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe\n",
-      "\n",
-      "# configure plotting\n",
-      "plt.rcParams['figure.figsize'] = (10, 10)\n",
-      "plt.rcParams['image.interpolation'] = 'nearest'\n",
-      "plt.rcParams['image.cmap'] = 'gray'"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "## Designer Filters\n",
-      "\n",
-      "To show how to load, manipulate, and save parameters we'll design our own filters into a simple network that's only a single convolution layer. This net has two blobs, `data` for the input and `conv` for the convolution output and one parameter `conv` for the convolution filter weights and biases."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Load the net, list its data and params, and filter an example image.\n",
-      "caffe.set_mode_cpu()\n",
-      "net = caffe.Net('net_surgery/conv.prototxt', caffe.TEST)\n",
-      "print(\"blobs {}\\nparams {}\".format(net.blobs.keys(), net.params.keys()))\n",
-      "\n",
-      "# load image and prepare as a single input batch for Caffe\n",
-      "im = np.array(Image.open('images/cat_gray.jpg'))\n",
-      "plt.title(\"original image\")\n",
-      "plt.imshow(im)\n",
-      "plt.axis('off')\n",
-      "\n",
-      "im_input = im[np.newaxis, np.newaxis, :, :]\n",
-      "net.blobs['data'].reshape(*im_input.shape)\n",
-      "net.blobs['data'].data[...] = im_input"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "blobs ['data', 'conv']\n",
-        "params ['conv']\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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4Ozs7FI9mvvuYGEwOD+7rZYez/FQzmvBLddIBpl0ZLwxxp9nDRd1dKIXWRtjJ2NlZaU4fDbAGQCw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GLqTdgKXEn0vbpdFoINneWi884VodYrnK5rKOjIw2Hw5SGg7pwzXA4TGklGo1Ggammbl988UWB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\n9/NQ0XMur73vp6enSUaNx+OUG+rGMu8tlUqpbInLeZ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Ah/18W2suz3uME+sJ0ryomoktT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/P5ljuMymYDMjmkOPk8YQq7YY0jd++IoDzLQHWE3XjC24BXQQ2rJeVjbK5s7qkdfHWFx9Gw2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wmInt3d5elCnAqWCs4CIxzp9NJJ+jLly85z4wTqI25KJztxljjvEdUpFKu6/V6NXI3SAtK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Ay+QyF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\no5hg26exMZ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-       "text": [
-        "<matplotlib.figure.Figure at 0x112797f50>"
-       ]
-      }
-     ],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The convolution weights are initialized from Gaussian noise while the biases are initialized to zero. These random filters give output somewhat like edge detections."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# helper show filter outputs\n",
-      "def show_filters(net):\n",
-      "    net.forward()\n",
-      "    plt.figure()\n",
-      "    filt_min, filt_max = net.blobs['conv'].data.min(), net.blobs['conv'].data.max()\n",
-      "    for i in range(3):\n",
-      "        plt.subplot(1,4,i+2)\n",
-      "        plt.title(\"filter #{} output\".format(i))\n",
-      "        plt.imshow(net.blobs['conv'].data[0, i], vmin=filt_min, vmax=filt_max)\n",
-      "        plt.tight_layout()\n",
-      "        plt.axis('off')\n",
-      "\n",
-      "# filter the image with initial \n",
-      "show_filters(net)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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66UiQHGH51GEG9o4URgkf3g6BJoVFgCwUMY2oJwMJk7RC2ERFMyLr/xYR7A+Ed9++2392I/9WFJo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\n6wmQE6xRb+JgzVffUKOHTtRqNe3u7iaG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krUtJfbohY4hx+1gwzsFhfV8l0d50nJDGAwc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\n7lgLCgsx90bi3FA9GAwKQMMLYS7qPiavF9naRbNhdm6Bc4Hw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3KSdRA7YIW9fRaVLAAAg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\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x113e04090>"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Raising the bias of a filter will correspondingly raise its output:"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# pick first filter output\n",
-      "conv0 = net.blobs['conv'].data[0, 0]\n",
-      "print(\"pre-surgery output mean {:.2f}\".format(conv0.mean()))\n",
-      "# set first filter bias to 10\n",
-      "net.params['conv'][1].data[0] = 1.\n",
-      "net.forward()\n",
-      "print(\"post-surgery output mean {:.2f}\".format(conv0.mean()))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "pre-surgery output mean -12.93\n",
-        "post-surgery output mean -11.93\n"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Altering the filter weights is more exciting since we can assign any kernel like Gaussian blur, the Sobel operator for edges, and so on. The following surgery turns the 0th filter into a Gaussian blur and the 1st and 2nd filters into the horizontal and vertical gradient parts of the Sobel operator.\n",
-      "\n",
-      "See how the 0th output is blurred, the 1st picks up horizontal edges, and the 2nd picks up vertical edges."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "ksize = net.params['conv'][0].data.shape[2:]\n",
-      "# make Gaussian blur\n",
-      "sigma = 1.\n",
-      "y, x = np.mgrid[-ksize[0]//2 + 1:ksize[0]//2 + 1, -ksize[1]//2 + 1:ksize[1]//2 + 1]\n",
-      "g = np.exp(-((x**2 + y**2)/(2.0*sigma**2)))\n",
-      "gaussian = (g / g.sum()).astype(np.float32)\n",
-      "net.params['conv'][0].data[0] = gaussian\n",
-      "# make Sobel operator for edge detection\n",
-      "net.params['conv'][0].data[1:] = 0.\n",
-      "sobel = np.array((-1, -2, -1, 0, 0, 0, 1, 2, 1), dtype=np.float32).reshape((3,3))\n",
-      "net.params['conv'][0].data[1, 0, 1:-1, 1:-1] = sobel  # horizontal\n",
-      "net.params['conv'][0].data[2, 0, 1:-1, 1:-1] = sobel.T  # vertical\n",
-      "show_filters(net)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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Wv52Im3k/UFp4r36rjiupf4Cj5aQOy8AIySOjNHfLJs/HKpUOi3GzfPTY+lRaO6ds8MGg0PE5N69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\neJp22rYCTl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-       "text": [
-        "<matplotlib.figure.Figure at 0x112bc2190>"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Net Surgery\n",
+    "\n",
+    "Caffe networks can be transformed to your particular needs by editing the model parameters. The data, diffs, and parameters of a net are all exposed in pycaffe.\n",
+    "\n",
+    "Roll up your sleeves for net surgery with pycaffe!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "import Image\n",
+    "\n",
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe\n",
+    "\n",
+    "# configure plotting\n",
+    "plt.rcParams['figure.figsize'] = (10, 10)\n",
+    "plt.rcParams['image.interpolation'] = 'nearest'\n",
+    "plt.rcParams['image.cmap'] = 'gray'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Designer Filters\n",
+    "\n",
+    "To show how to load, manipulate, and save parameters we'll design our own filters into a simple network that's only a single convolution layer. This net has two blobs, `data` for the input and `conv` for the convolution output and one parameter `conv` for the convolution filter weights and biases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "With net surgery, parameters can be transplanted across nets, regularized by custom per-parameter operations, and transformed according to your schemes."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "blobs ['data', 'conv']\n",
+      "params ['conv']\n"
      ]
     },
     {
-     "cell_type": "markdown",
+     "data": {
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x112797f50>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "## Casting a Classifier into a Fully Convolutional Network\n",
-      "\n",
-      "Let's take the standard Caffe Reference ImageNet model \"CaffeNet\" and transform it into a fully convolutional net for efficient, dense inference on large inputs. This model generates a classification map that covers a given input size instead of a single classification. In particular a 8 $\\times$ 8 classification map on a 451 $\\times$ 451 input gives 64x the output in only 3x the time. The computation exploits a natural efficiency of convolutional network (convnet) structure by amortizing the computation of overlapping receptive fields.\n",
-      "\n",
-      "To do so we translate the `InnerProduct` matrix multiplication layers of CaffeNet into `Convolutional` layers. This is the only change: the other layer types are agnostic to spatial size. Convolution is translation-invariant, activations are elementwise operations, and so on. The `fc6` inner product when carried out as convolution by `fc6-conv` turns into a 6 \\times 6 filter with stride 1 on `pool5`. Back in image space this gives a classification for each 227 $\\times$ 227 box with stride 32 in pixels. Remember the equation for output map / receptive field size, output = (input - kernel_size) / stride + 1, and work out the indexing details for a clear understanding."
-     ]
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load the net, list its data and params, and filter an example image.\n",
+    "caffe.set_mode_cpu()\n",
+    "net = caffe.Net('net_surgery/conv.prototxt', caffe.TEST)\n",
+    "print(\"blobs {}\\nparams {}\".format(net.blobs.keys(), net.params.keys()))\n",
+    "\n",
+    "# load image and prepare as a single input batch for Caffe\n",
+    "im = np.array(Image.open('images/cat_gray.jpg'))\n",
+    "plt.title(\"original image\")\n",
+    "plt.imshow(im)\n",
+    "plt.axis('off')\n",
+    "\n",
+    "im_input = im[np.newaxis, np.newaxis, :, :]\n",
+    "net.blobs['data'].reshape(*im_input.shape)\n",
+    "net.blobs['data'].data[...] = im_input"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The convolution weights are initialized from Gaussian noise while the biases are initialized to zero. These random filters give output somewhat like edge detections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "!diff imagenet/bvlc_caffenet_full_conv.prototxt ../models/bvlc_reference_caffenet/deploy.prototxt"
-     ],
-     "language": "python",
+     "data": {
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+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x113e04090>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "diff: imagenet/bvlc_caffenet_full_conv.prototxt: No such file or directory\r\n"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# helper show filter outputs\n",
+    "def show_filters(net):\n",
+    "    net.forward()\n",
+    "    plt.figure()\n",
+    "    filt_min, filt_max = net.blobs['conv'].data.min(), net.blobs['conv'].data.max()\n",
+    "    for i in range(3):\n",
+    "        plt.subplot(1,4,i+2)\n",
+    "        plt.title(\"filter #{} output\".format(i))\n",
+    "        plt.imshow(net.blobs['conv'].data[0, i], vmin=filt_min, vmax=filt_max)\n",
+    "        plt.tight_layout()\n",
+    "        plt.axis('off')\n",
+    "\n",
+    "# filter the image with initial \n",
+    "show_filters(net)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Raising the bias of a filter will correspondingly raise its output:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The only differences needed in the architecture are to change the fully connected classifier inner product layers into convolutional layers with the right filter size -- 6 x 6, since the reference model classifiers take the 36 elements of `pool5` as input -- and stride 1 for dense classification. Note that the layers are renamed so that Caffe does not try to blindly load the old parameters when it maps layer names to the pretrained model."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "pre-surgery output mean -12.93\n",
+      "post-surgery output mean -11.93\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# pick first filter output\n",
+    "conv0 = net.blobs['conv'].data[0, 0]\n",
+    "print(\"pre-surgery output mean {:.2f}\".format(conv0.mean()))\n",
+    "# set first filter bias to 10\n",
+    "net.params['conv'][1].data[0] = 1.\n",
+    "net.forward()\n",
+    "print(\"post-surgery output mean {:.2f}\".format(conv0.mean()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Altering the filter weights is more exciting since we can assign any kernel like Gaussian blur, the Sobel operator for edges, and so on. The following surgery turns the 0th filter into a Gaussian blur and the 1st and 2nd filters into the horizontal and vertical gradient parts of the Sobel operator.\n",
+    "\n",
+    "See how the 0th output is blurred, the 1st picks up horizontal edges, and the 2nd picks up vertical edges."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe\n",
-      "\n",
-      "# Load the original network and extract the fully connected layers' parameters.\n",
-      "net = caffe.Net('../models/bvlc_reference_caffenet/deploy.prototxt', \n",
-      "                '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel', \n",
-      "                caffe.TEST)\n",
-      "params = ['fc6', 'fc7', 'fc8']\n",
-      "# fc_params = {name: (weights, biases)}\n",
-      "fc_params = {pr: (net.params[pr][0].data, net.params[pr][1].data) for pr in params}\n",
-      "\n",
-      "for fc in params:\n",
-      "    print '{} weights are {} dimensional and biases are {} dimensional'.format(fc, fc_params[fc][0].shape, fc_params[fc][1].shape)"
-     ],
-     "language": "python",
+     "data": {
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+       "IiIi4pXfPRZNtgyLF3IAAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x112bc2190>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "fc6 weights are (4096, 9216) dimensional and biases are (4096,) dimensional\n",
-        "fc7 weights are (4096, 4096) dimensional and biases are (4096,) dimensional\n",
-        "fc8 weights are (1000, 4096) dimensional and biases are (1000,) dimensional\n"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ksize = net.params['conv'][0].data.shape[2:]\n",
+    "# make Gaussian blur\n",
+    "sigma = 1.\n",
+    "y, x = np.mgrid[-ksize[0]//2 + 1:ksize[0]//2 + 1, -ksize[1]//2 + 1:ksize[1]//2 + 1]\n",
+    "g = np.exp(-((x**2 + y**2)/(2.0*sigma**2)))\n",
+    "gaussian = (g / g.sum()).astype(np.float32)\n",
+    "net.params['conv'][0].data[0] = gaussian\n",
+    "# make Sobel operator for edge detection\n",
+    "net.params['conv'][0].data[1:] = 0.\n",
+    "sobel = np.array((-1, -2, -1, 0, 0, 0, 1, 2, 1), dtype=np.float32).reshape((3,3))\n",
+    "net.params['conv'][0].data[1, 0, 1:-1, 1:-1] = sobel  # horizontal\n",
+    "net.params['conv'][0].data[2, 0, 1:-1, 1:-1] = sobel.T  # vertical\n",
+    "show_filters(net)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With net surgery, parameters can be transplanted across nets, regularized by custom per-parameter operations, and transformed according to your schemes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Casting a Classifier into a Fully Convolutional Network\n",
+    "\n",
+    "Let's take the standard Caffe Reference ImageNet model \"CaffeNet\" and transform it into a fully convolutional net for efficient, dense inference on large inputs. This model generates a classification map that covers a given input size instead of a single classification. In particular a 8 $\\times$ 8 classification map on a 451 $\\times$ 451 input gives 64x the output in only 3x the time. The computation exploits a natural efficiency of convolutional network (convnet) structure by amortizing the computation of overlapping receptive fields.\n",
+    "\n",
+    "To do so we translate the `InnerProduct` matrix multiplication layers of CaffeNet into `Convolutional` layers. This is the only change: the other layer types are agnostic to spatial size. Convolution is translation-invariant, activations are elementwise operations, and so on. The `fc6` inner product when carried out as convolution by `fc6-conv` turns into a 6 \\times 6 filter with stride 1 on `pool5`. Back in image space this gives a classification for each 227 $\\times$ 227 box with stride 32 in pixels. Remember the equation for output map / receptive field size, output = (input - kernel_size) / stride + 1, and work out the indexing details for a clear understanding."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Consider the shapes of the inner product parameters. The weight dimensions are the output and input sizes while the bias dimension is the output size."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1,2c1\r\n",
+      "< # Fully convolutional network version of CaffeNet.\r\n",
+      "< name: \"CaffeNetConv\"\r\n",
+      "---\r\n",
+      "> name: \"CaffeNet\"\r\n",
+      "4c3\r\n",
+      "< input_dim: 1\r\n",
+      "---\r\n",
+      "> input_dim: 10\r\n",
+      "6,7c5,6\r\n",
+      "< input_dim: 451\r\n",
+      "< input_dim: 451\r\n",
+      "---\r\n",
+      "> input_dim: 227\r\n",
+      "> input_dim: 227\r\n",
+      "152,153c151,152\r\n",
+      "<   name: \"fc6-conv\"\r\n",
+      "<   type: \"Convolution\"\r\n",
+      "---\r\n",
+      ">   name: \"fc6\"\r\n",
+      ">   type: \"InnerProduct\"\r\n",
+      "155,156c154,155\r\n",
+      "<   top: \"fc6-conv\"\r\n",
+      "<   convolution_param {\r\n",
+      "---\r\n",
+      ">   top: \"fc6\"\r\n",
+      ">   inner_product_param {\r\n",
+      "158d156\r\n",
+      "<     kernel_size: 6\r\n",
+      "164,165c162,163\r\n",
+      "<   bottom: \"fc6-conv\"\r\n",
+      "<   top: \"fc6-conv\"\r\n",
+      "---\r\n",
+      ">   bottom: \"fc6\"\r\n",
+      ">   top: \"fc6\"\r\n",
+      "170,171c168,169\r\n",
+      "<   bottom: \"fc6-conv\"\r\n",
+      "<   top: \"fc6-conv\"\r\n",
+      "---\r\n",
+      ">   bottom: \"fc6\"\r\n",
+      ">   top: \"fc6\"\r\n",
+      "177,181c175,179\r\n",
+      "<   name: \"fc7-conv\"\r\n",
+      "<   type: \"Convolution\"\r\n",
+      "<   bottom: \"fc6-conv\"\r\n",
+      "<   top: \"fc7-conv\"\r\n",
+      "<   convolution_param {\r\n",
+      "---\r\n",
+      ">   name: \"fc7\"\r\n",
+      ">   type: \"InnerProduct\"\r\n",
+      ">   bottom: \"fc6\"\r\n",
+      ">   top: \"fc7\"\r\n",
+      ">   inner_product_param {\r\n",
+      "183d180\r\n",
+      "<     kernel_size: 1\r\n",
+      "189,190c186,187\r\n",
+      "<   bottom: \"fc7-conv\"\r\n",
+      "<   top: \"fc7-conv\"\r\n",
+      "---\r\n",
+      ">   bottom: \"fc7\"\r\n",
+      ">   top: \"fc7\"\r\n",
+      "195,196c192,193\r\n",
+      "<   bottom: \"fc7-conv\"\r\n",
+      "<   top: \"fc7-conv\"\r\n",
+      "---\r\n",
+      ">   bottom: \"fc7\"\r\n",
+      ">   top: \"fc7\"\r\n",
+      "202,206c199,203\r\n",
+      "<   name: \"fc8-conv\"\r\n",
+      "<   type: \"Convolution\"\r\n",
+      "<   bottom: \"fc7-conv\"\r\n",
+      "<   top: \"fc8-conv\"\r\n",
+      "<   convolution_param {\r\n",
+      "---\r\n",
+      ">   name: \"fc8\"\r\n",
+      ">   type: \"InnerProduct\"\r\n",
+      ">   bottom: \"fc7\"\r\n",
+      ">   top: \"fc8\"\r\n",
+      ">   inner_product_param {\r\n",
+      "208d204\r\n",
+      "<     kernel_size: 1\r\n",
+      "214c210\r\n",
+      "<   bottom: \"fc8-conv\"\r\n",
+      "---\r\n",
+      ">   bottom: \"fc8\"\r\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# Load the fully convolutional network to transplant the parameters.\n",
-      "net_full_conv = caffe.Net('net_surgery/bvlc_caffenet_full_conv.prototxt', \n",
-      "                          '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel',\n",
-      "                          caffe.TEST)\n",
-      "params_full_conv = ['fc6-conv', 'fc7-conv', 'fc8-conv']\n",
-      "# conv_params = {name: (weights, biases)}\n",
-      "conv_params = {pr: (net_full_conv.params[pr][0].data, net_full_conv.params[pr][1].data) for pr in params_full_conv}\n",
-      "\n",
-      "for conv in params_full_conv:\n",
-      "    print '{} weights are {} dimensional and biases are {} dimensional'.format(conv, conv_params[conv][0].shape, conv_params[conv][1].shape)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "fc6-conv weights are (4096, 256, 6, 6) dimensional and biases are (4096,) dimensional\n",
-        "fc7-conv weights are (4096, 4096, 1, 1) dimensional and biases are (4096,) dimensional\n",
-        "fc8-conv weights are (1000, 4096, 1, 1) dimensional and biases are (1000,) dimensional\n"
-       ]
-      }
-     ],
-     "prompt_number": 8
-    },
+    }
+   ],
+   "source": [
+    "!diff net_surgery/bvlc_caffenet_full_conv.prototxt ../models/bvlc_reference_caffenet/deploy.prototxt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The only differences needed in the architecture are to change the fully connected classifier inner product layers into convolutional layers with the right filter size -- 6 x 6, since the reference model classifiers take the 36 elements of `pool5` as input -- and stride 1 for dense classification. Note that the layers are renamed so that Caffe does not try to blindly load the old parameters when it maps layer names to the pretrained model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "The convolution weights are arranged in output $\\times$ input $\\times$ height $\\times$ width dimensions. To map the inner product weights to convolution filters, we could roll the flat inner product vectors into channel $\\times$ height $\\times$ width filter matrices, but actually these are identical in memory (as row major arrays) so we can assign them directly.\n",
-      "\n",
-      "The biases are identical to those of the inner product.\n",
-      "\n",
-      "Let's transplant!"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "fc6 weights are (4096, 9216) dimensional and biases are (4096,) dimensional\n",
+      "fc7 weights are (4096, 4096) dimensional and biases are (4096,) dimensional\n",
+      "fc8 weights are (1000, 4096) dimensional and biases are (1000,) dimensional\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "for pr, pr_conv in zip(params, params_full_conv):\n",
-      "    conv_params[pr_conv][0].flat = fc_params[pr][0].flat  # flat unrolls the arrays\n",
-      "    conv_params[pr_conv][1][...] = fc_params[pr][1]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 9
-    },
+    }
+   ],
+   "source": [
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe\n",
+    "\n",
+    "# Load the original network and extract the fully connected layers' parameters.\n",
+    "net = caffe.Net('../models/bvlc_reference_caffenet/deploy.prototxt', \n",
+    "                '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel', \n",
+    "                caffe.TEST)\n",
+    "params = ['fc6', 'fc7', 'fc8']\n",
+    "# fc_params = {name: (weights, biases)}\n",
+    "fc_params = {pr: (net.params[pr][0].data, net.params[pr][1].data) for pr in params}\n",
+    "\n",
+    "for fc in params:\n",
+    "    print '{} weights are {} dimensional and biases are {} dimensional'.format(fc, fc_params[fc][0].shape, fc_params[fc][1].shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Consider the shapes of the inner product parameters. The weight dimensions are the output and input sizes while the bias dimension is the output size."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Next, save the new model weights."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "fc6-conv weights are (4096, 256, 6, 6) dimensional and biases are (4096,) dimensional\n",
+      "fc7-conv weights are (4096, 4096, 1, 1) dimensional and biases are (4096,) dimensional\n",
+      "fc8-conv weights are (1000, 4096, 1, 1) dimensional and biases are (1000,) dimensional\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "net_full_conv.save('net_surgery/bvlc_caffenet_full_conv.caffemodel')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 10
-    },
+    }
+   ],
+   "source": [
+    "# Load the fully convolutional network to transplant the parameters.\n",
+    "net_full_conv = caffe.Net('net_surgery/bvlc_caffenet_full_conv.prototxt', \n",
+    "                          '../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel',\n",
+    "                          caffe.TEST)\n",
+    "params_full_conv = ['fc6-conv', 'fc7-conv', 'fc8-conv']\n",
+    "# conv_params = {name: (weights, biases)}\n",
+    "conv_params = {pr: (net_full_conv.params[pr][0].data, net_full_conv.params[pr][1].data) for pr in params_full_conv}\n",
+    "\n",
+    "for conv in params_full_conv:\n",
+    "    print '{} weights are {} dimensional and biases are {} dimensional'.format(conv, conv_params[conv][0].shape, conv_params[conv][1].shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The convolution weights are arranged in output $\\times$ input $\\times$ height $\\times$ width dimensions. To map the inner product weights to convolution filters, we could roll the flat inner product vectors into channel $\\times$ height $\\times$ width filter matrices, but actually these are identical in memory (as row major arrays) so we can assign them directly.\n",
+    "\n",
+    "The biases are identical to those of the inner product.\n",
+    "\n",
+    "Let's transplant!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "for pr, pr_conv in zip(params, params_full_conv):\n",
+    "    conv_params[pr_conv][0].flat = fc_params[pr][0].flat  # flat unrolls the arrays\n",
+    "    conv_params[pr_conv][1][...] = fc_params[pr][1]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, save the new model weights."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "net_full_conv.save('net_surgery/bvlc_caffenet_full_conv.caffemodel')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To conclude, let's make a classification map from the example cat image and visualize the confidence of \"tiger cat\" as a probability heatmap. This gives an 8-by-8 prediction on overlapping regions of the 451 $\\times$ 451 input."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [
     {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "To conclude, let's make a classification map from the example cat image and visualize the confidence of \"tiger cat\" as a probability heatmap. This gives an 8-by-8 prediction on overlapping regions of the 451 $\\times$ 451 input."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[282 282 281 281 281 281 277 282]\n",
+      " [281 283 283 281 281 281 281 282]\n",
+      " [283 283 283 283 283 283 287 282]\n",
+      " [283 283 283 281 283 283 283 259]\n",
+      " [283 283 283 283 283 283 283 259]\n",
+      " [283 283 283 283 283 283 259 259]\n",
+      " [283 283 283 283 259 259 259 277]\n",
+      " [335 335 283 259 263 263 263 277]]\n"
      ]
     },
     {
-     "cell_type": "code",
-     "collapsed": true,
-     "input": [
-      "import numpy as np\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "# load input and configure preprocessing\n",
-      "im = caffe.io.load_image('images/cat.jpg')\n",
-      "transformer = caffe.io.Transformer({'data': net_full_conv.blobs['data'].data.shape})\n",
-      "transformer.set_mean('data', np.load('../python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1))\n",
-      "transformer.set_transpose('data', (2,0,1))\n",
-      "transformer.set_channel_swap('data', (2,1,0))\n",
-      "transformer.set_raw_scale('data', 255.0)\n",
-      "# make classification map by forward and print prediction indices at each location\n",
-      "out = net_full_conv.forward_all(data=np.asarray([transformer.preprocess('data', im)]))\n",
-      "print out['prob'][0].argmax(axis=0)\n",
-      "# show net input and confidence map (probability of the top prediction at each location)\n",
-      "plt.subplot(1, 2, 1)\n",
-      "plt.imshow(transformer.deprocess('data', net_full_conv.blobs['data'].data[0]))\n",
-      "plt.subplot(1, 2, 2)\n",
-      "plt.imshow(out['prob'][0,281])"
-     ],
-     "language": "python",
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x12379a690>"
+      ]
+     },
+     "execution_count": 11,
      "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "[[282 282 281 281 281 281 277 282]\n",
-        " [281 283 283 281 281 281 281 282]\n",
-        " [283 283 283 283 283 283 287 282]\n",
-        " [283 283 283 281 283 283 283 259]\n",
-        " [283 283 283 283 283 283 283 259]\n",
-        " [283 283 283 283 283 283 259 259]\n",
-        " [283 283 283 283 259 259 259 277]\n",
-        " [335 335 283 259 263 263 263 277]]\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 11,
-       "text": [
-        "<matplotlib.image.AxesImage at 0x12379a690>"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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OsPDR5Gr7Z7OzrBm4NvfEI5zItkeCZ5geiiRuN9wtdtQUsGXQtKCLRZNlegjxRowrkn05kqYWYy2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\nc6pqy/2Hj9ibL+m6Yafy8Q6ld3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-       "text": [
-        "<matplotlib.figure.Figure at 0x12666be50>"
-       ]
-      }
-     ],
-     "prompt_number": 11
+     "output_type": "execute_result"
     },
     {
-     "cell_type": "markdown",
+     "data": {
+      "image/png": [
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+       "A43ph1xlbAoPAAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x12666be50>"
+      ]
+     },
      "metadata": {},
-     "source": [
-      "The classifications include various cats -- 282 = tiger cat, 281 = tabby, 283 = persian -- and foxes and other mammals.\n",
-      "\n",
-      "In this way the fully connected layers can be extracted as dense features across an image (see `net_full_conv.blobs['fc6'].data` for instance), which is perhaps more useful than the classification map itself.\n",
-      "\n",
-      "Note that this model isn't totally appropriate for sliding-window detection since it was trained for whole-image classification. Nevertheless it can work just fine. Sliding-window training and finetuning can be done by defining a sliding-window ground truth and loss such that a loss map is made for every location and solving as usual. (This is an exercise for the reader.)"
-     ]
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "*A thank you to Rowland Depp for first suggesting this trick.*"
-     ]
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# load input and configure preprocessing\n",
+    "im = caffe.io.load_image('images/cat.jpg')\n",
+    "transformer = caffe.io.Transformer({'data': net_full_conv.blobs['data'].data.shape})\n",
+    "transformer.set_mean('data', np.load('../python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1))\n",
+    "transformer.set_transpose('data', (2,0,1))\n",
+    "transformer.set_channel_swap('data', (2,1,0))\n",
+    "transformer.set_raw_scale('data', 255.0)\n",
+    "# make classification map by forward and print prediction indices at each location\n",
+    "out = net_full_conv.forward_all(data=np.asarray([transformer.preprocess('data', im)]))\n",
+    "print out['prob'][0].argmax(axis=0)\n",
+    "# show net input and confidence map (probability of the top prediction at each location)\n",
+    "plt.subplot(1, 2, 1)\n",
+    "plt.imshow(transformer.deprocess('data', net_full_conv.blobs['data'].data[0]))\n",
+    "plt.subplot(1, 2, 2)\n",
+    "plt.imshow(out['prob'][0,281])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The classifications include various cats -- 282 = tiger cat, 281 = tabby, 283 = persian -- and foxes and other mammals.\n",
+    "\n",
+    "In this way the fully connected layers can be extracted as dense features across an image (see `net_full_conv.blobs['fc6'].data` for instance), which is perhaps more useful than the classification map itself.\n",
+    "\n",
+    "Note that this model isn't totally appropriate for sliding-window detection since it was trained for whole-image classification. Nevertheless it can work just fine. Sliding-window training and finetuning can be done by defining a sliding-window ground truth and loss such that a loss map is made for every location and solving as usual. (This is an exercise for the reader.)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*A thank you to Rowland Depp for first suggesting this trick.*"
+   ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "description": "How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.",
+  "example_name": "Editing model parameters",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 5
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
index 8e07666..11cae12 100644 (file)
 {
- "metadata": {
-  "description": "Extracting features and plotting the Siamese network embedding.",
-  "example_name": "Siamese network embedding",
-  "include_in_docs": true,
-  "priority": 6,
-  "signature": "sha256:845bb18929f96543ba2611eb5eca744fd98939cbef876df6bc319c29f616fc64"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
+ "cells": [
   {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### Setup\n",
-      "\n",
-      "Import Caffe and the usual modules."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import matplotlib.pyplot as plt\n",
-      "%matplotlib inline\n",
-      "\n",
-      "# Make sure that caffe is on the python path:\n",
-      "caffe_root = '../../'  # this file is expected to be in {caffe_root}/examples/siamese\n",
-      "import sys\n",
-      "sys.path.insert(0, caffe_root + 'python')\n",
-      "\n",
-      "import caffe"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### Load the trained net\n",
-      "\n",
-      "Load the model definition and weights and set to CPU mode TEST phase computation with input scaling."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "MODEL_FILE = 'mnist_siamese.prototxt'\n",
-      "# decrease if you want to preview during training\n",
-      "PRETRAINED_FILE = 'mnist_siamese_iter_50000.caffemodel' \n",
-      "caffe.set_mode_cpu()\n",
-      "net = caffe.Net(MODEL_FILE, PRETRAINED_FILE, caffe.TEST)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### Load some MNIST test data"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "TEST_DATA_FILE = '../../data/mnist/t10k-images-idx3-ubyte'\n",
-      "TEST_LABEL_FILE = '../../data/mnist/t10k-labels-idx1-ubyte'\n",
-      "n = 10000\n",
-      "\n",
-      "with open(TEST_DATA_FILE, 'rb') as f:\n",
-      "    f.read(16) # skip the header\n",
-      "    raw_data = np.fromstring(f.read(n * 28*28), dtype=np.uint8)\n",
-      "\n",
-      "with open(TEST_LABEL_FILE, 'rb') as f:\n",
-      "    f.read(8) # skip the header\n",
-      "    labels = np.fromstring(f.read(n), dtype=np.uint8)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### Generate the Siamese features"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# reshape and preprocess\n",
-      "caffe_in = raw_data.reshape(n, 1, 28, 28) * 0.00390625 # manually scale data instead of using `caffe.io.Transformer`\n",
-      "out = net.forward_all(data=caffe_in)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### Visualize the learned Siamese embedding"
-     ]
-    },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Setup\n",
+    "\n",
+    "Import Caffe and the usual modules."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# Make sure that caffe is on the python path:\n",
+    "caffe_root = '../../'  # this file is expected to be in {caffe_root}/examples/siamese\n",
+    "import sys\n",
+    "sys.path.insert(0, caffe_root + 'python')\n",
+    "\n",
+    "import caffe"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load the trained net\n",
+    "\n",
+    "Load the model definition and weights and set to CPU mode TEST phase computation with input scaling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "MODEL_FILE = 'mnist_siamese.prototxt'\n",
+    "# decrease if you want to preview during training\n",
+    "PRETRAINED_FILE = 'mnist_siamese_iter_50000.caffemodel' \n",
+    "caffe.set_mode_cpu()\n",
+    "net = caffe.Net(MODEL_FILE, PRETRAINED_FILE, caffe.TEST)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load some MNIST test data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "TEST_DATA_FILE = '../../data/mnist/t10k-images-idx3-ubyte'\n",
+    "TEST_LABEL_FILE = '../../data/mnist/t10k-labels-idx1-ubyte'\n",
+    "n = 10000\n",
+    "\n",
+    "with open(TEST_DATA_FILE, 'rb') as f:\n",
+    "    f.read(16) # skip the header\n",
+    "    raw_data = np.fromstring(f.read(n * 28*28), dtype=np.uint8)\n",
+    "\n",
+    "with open(TEST_LABEL_FILE, 'rb') as f:\n",
+    "    f.read(8) # skip the header\n",
+    "    labels = np.fromstring(f.read(n), dtype=np.uint8)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Generate the Siamese features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# reshape and preprocess\n",
+    "caffe_in = raw_data.reshape(n, 1, 28, 28) * 0.00390625 # manually scale data instead of using `caffe.io.Transformer`\n",
+    "out = net.forward_all(data=caffe_in)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Visualize the learned Siamese embedding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "feat = out['feat']\n",
-      "f = plt.figure(figsize=(16,9))\n",
-      "c = ['#ff0000', '#ffff00', '#00ff00', '#00ffff', '#0000ff', \n",
-      "     '#ff00ff', '#990000', '#999900', '#009900', '#009999']\n",
-      "for i in range(10):\n",
-      "    plt.plot(feat[labels==i,0].flatten(), feat[labels==i,1].flatten(), '.', c=c[i])\n",
-      "plt.legend(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'])\n",
-      "plt.grid()\n",
-      "plt.show()"
-     ],
-     "language": "python",
+     "data": {
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+       "AABAVv1/lzHCzGUnjVoAAAAASUVORK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fadf4552a90>"
+      ]
+     },
      "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
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qRkGCmhq+h4Q/f4V//ELwP+gpqYC2J4j95vbj2+//fZ54/E8evQob775JgMDamXzjz76iF/96ldJ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JhlO69YG1taRqnQ8U+/sGjFXicUNyn9cCvOZ5HulI1PcQvbv6ygqQn/lciRzn6lfyvBAZ1Xlwl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\n43e/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tSy1d9Uqlnb77rvGO8bmQEQxKdyGRa+ozgKZjkylE63kGI1aJhvnl9u3w1lZCXtR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\nAABAVv1/lzHCzGUnjVoAAAAASUVORK5CYII=\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x7fadf4552a90>"
-       ]
-      }
-     ],
-     "prompt_number": 5
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "feat = out['feat']\n",
+    "f = plt.figure(figsize=(16,9))\n",
+    "c = ['#ff0000', '#ffff00', '#00ff00', '#00ffff', '#0000ff', \n",
+    "     '#ff00ff', '#990000', '#999900', '#009900', '#009999']\n",
+    "for i in range(10):\n",
+    "    plt.plot(feat[labels==i,0].flatten(), feat[labels==i,1].flatten(), '.', c=c[i])\n",
+    "plt.legend(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'])\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "description": "Extracting features and plotting the Siamese network embedding.",
+  "example_name": "Siamese network embedding",
+  "include_in_docs": true,
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.9"
+  },
+  "priority": 6
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
index 8da6d68..e6b42c1 100644 (file)
@@ -295,6 +295,7 @@ class MVNLayer : public Layer<Dtype> {
 
   /// sum_multiplier is used to carry out sum using BLAS
   Blob<Dtype> sum_multiplier_;
+  Dtype eps_;
 };
 
 /*
index 8803566..0ad68c8 100644 (file)
@@ -62,6 +62,7 @@ class DataTransformer {
    */
   void Transform(const vector<cv::Mat> & mat_vector,
                 Blob<Dtype>* transformed_blob);
+
   /**
    * @brief Applies the transformation defined in the data layer's
    * transform_param block to a cv::Mat
@@ -87,6 +88,41 @@ class DataTransformer {
    */
   void Transform(Blob<Dtype>* input_blob, Blob<Dtype>* transformed_blob);
 
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *
+   * @param datum
+   *    Datum containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const Datum& datum);
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *    It uses the first element to infer the shape of the blob.
+   *
+   * @param datum_vector
+   *    A vector of Datum containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const vector<Datum> & datum_vector);
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *    It uses the first element to infer the shape of the blob.
+   *
+   * @param mat_vector
+   *    A vector of Mat containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const vector<cv::Mat> & mat_vector);
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *
+   * @param cv_img
+   *    cv::Mat containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const cv::Mat& cv_img);
+
  protected:
    /**
    * @brief Generates a random integer from Uniform({0, 1, ..., n-1}).
index bb18e8e..ff3542e 100644 (file)
@@ -126,17 +126,18 @@ class PositiveUnitballFiller : public Filler<Dtype> {
 };
 
 /**
- * @brief Fills a Blob with values @f$ x \sim U(-a, +a) @f$ where @f$ a @f$
- *        is set inversely proportional to the number of incoming nodes.
+ * @brief Fills a Blob with values @f$ x \sim U(-a, +a) @f$ where @f$ a @f$ is
+ *        set inversely proportional to number of incoming nodes, outgoing
+ *        nodes, or their average.
  *
  * A Filler based on the paper [Bengio and Glorot 2010]: Understanding
- * the difficulty of training deep feedforward neuralnetworks, but does not
- * use the fan_out value.
+ * the difficulty of training deep feedforward neuralnetworks.
  *
- * It fills the incoming matrix by randomly sampling uniform data from
- * [-scale, scale] where scale = sqrt(3 / fan_in) where fan_in is the number
- * of input nodes. You should make sure the input blob has shape (num, a, b, c)
- * where a * b * c = fan_in.
+ * It fills the incoming matrix by randomly sampling uniform data from [-scale,
+ * scale] where scale = sqrt(3 / n) where n is the fan_in, fan_out, or their
+ * average, depending on the variance_norm option. You should make sure the
+ * input blob has shape (num, a, b, c) where a * b * c = fan_in and num * b * c
+ * = fan_out. Note that this is currently not the case for inner product layers.
  *
  * TODO(dox): make notation in above comment consistent with rest & use LaTeX.
  */
@@ -148,7 +149,16 @@ class XavierFiller : public Filler<Dtype> {
   virtual void Fill(Blob<Dtype>* blob) {
     CHECK(blob->count());
     int fan_in = blob->count() / blob->num();
-    Dtype scale = sqrt(Dtype(3) / fan_in);
+    int fan_out = blob->count() / blob->channels();
+    Dtype n = fan_in;  // default to fan_in
+    if (this->filler_param_.variance_norm() ==
+        FillerParameter_VarianceNorm_AVERAGE) {
+      n = (fan_in + fan_out) / Dtype(2);
+    } else if (this->filler_param_.variance_norm() ==
+        FillerParameter_VarianceNorm_FAN_OUT) {
+      n = fan_out;
+    }
+    Dtype scale = sqrt(Dtype(3) / n);
     caffe_rng_uniform<Dtype>(blob->count(), -scale, scale,
         blob->mutable_cpu_data());
     CHECK_EQ(this->filler_param_.sparse(), -1)
@@ -156,6 +166,47 @@ class XavierFiller : public Filler<Dtype> {
   }
 };
 
+/**
+ * @brief Fills a Blob with values @f$ x \sim N(0, \sigma^2) @f$ where
+ *        @f$ \sigma^2 @f$ is set inversely proportional to number of incoming
+ *        nodes, outgoing nodes, or their average.
+ *
+ * A Filler based on the paper [He, Zhang, Ren and Sun 2015]: Specifically
+ * accounts for ReLU nonlinearities.
+ *
+ * Aside: for another perspective on the scaling factor, see the derivation of
+ * [Saxe, McClelland, and Ganguli 2013 (v3)].
+ *
+ * It fills the incoming matrix by randomly sampling Gaussian data with std =
+ * sqrt(2 / n) where n is the fan_in, fan_out, or their average, depending on
+ * the variance_norm option. You should make sure the input blob has shape (num,
+ * a, b, c) where a * b * c = fan_in and num * b * c = fan_out. Note that this
+ * is currently not the case for inner product layers.
+ */
+template <typename Dtype>
+class MSRAFiller : public Filler<Dtype> {
+ public:
+  explicit MSRAFiller(const FillerParameter& param)
+      : Filler<Dtype>(param) {}
+  virtual void Fill(Blob<Dtype>* blob) {
+    CHECK(blob->count());
+    int fan_in = blob->count() / blob->num();
+    int fan_out = blob->count() / blob->channels();
+    Dtype n = fan_in;  // default to fan_in
+    if (this->filler_param_.variance_norm() ==
+        FillerParameter_VarianceNorm_AVERAGE) {
+      n = (fan_in + fan_out) / Dtype(2);
+    } else if (this->filler_param_.variance_norm() ==
+        FillerParameter_VarianceNorm_FAN_OUT) {
+      n = fan_out;
+    }
+    Dtype std = sqrt(Dtype(2) / n);
+    caffe_rng_gaussian<Dtype>(blob->count(), Dtype(0), std,
+        blob->mutable_cpu_data());
+    CHECK_EQ(this->filler_param_.sparse(), -1)
+         << "Sparsity not supported by this Filler.";
+  }
+};
 
 /**
  * @brief Get a specific filler from the specification given in FillerParameter.
@@ -176,6 +227,8 @@ Filler<Dtype>* GetFiller(const FillerParameter& param) {
     return new UniformFiller<Dtype>(param);
   } else if (type == "xavier") {
     return new XavierFiller<Dtype>(param);
+  } else if (type == "msra") {
+    return new MSRAFiller<Dtype>(param);
   } else {
     CHECK(false) << "Unknown filler name: " << param.type();
   }
index 4dcdc3d..c2ced48 100644 (file)
@@ -11,7 +11,7 @@ namespace caffe {
 /**
  * @brief An interface for classes that perform optimization on Net%s.
  *
- * Requires implementation of ComputeUpdateValue to compute a parameter update
+ * Requires implementation of ApplyUpdate to compute a parameter update
  * given the current state of the Net parameters.
  */
 template <typename Dtype>
@@ -39,8 +39,8 @@ class Solver {
   int iter() { return iter_; }
 
  protected:
-  // Get the update value for the current iteration.
-  virtual void ComputeUpdateValue() = 0;
+  // Make and apply the update value for the current iteration.
+  virtual void ApplyUpdate() = 0;
   // The Solver::Snapshot function implements the basic snapshotting utility
   // that stores the learned net. You should implement the SnapshotSolverState()
   // function that produces a SolverState protocol buffer that needs to be
@@ -80,7 +80,10 @@ class SGDSolver : public Solver<Dtype> {
  protected:
   void PreSolve();
   Dtype GetLearningRate();
-  virtual void ComputeUpdateValue();
+  virtual void ApplyUpdate();
+  virtual void Normalize(int param_id);
+  virtual void Regularize(int param_id);
+  virtual void ComputeUpdateValue(int param_id, Dtype rate);
   virtual void ClipGradients();
   virtual void SnapshotSolverState(SolverState * state);
   virtual void RestoreSolverState(const SolverState& state);
@@ -102,7 +105,7 @@ class NesterovSolver : public SGDSolver<Dtype> {
       : SGDSolver<Dtype>(param_file) {}
 
  protected:
-  virtual void ComputeUpdateValue();
+  virtual void ComputeUpdateValue(int param_id, Dtype rate);
 
   DISABLE_COPY_AND_ASSIGN(NesterovSolver);
 };
@@ -116,7 +119,7 @@ class AdaGradSolver : public SGDSolver<Dtype> {
       : SGDSolver<Dtype>(param_file) { constructor_sanity_check(); }
 
  protected:
-  virtual void ComputeUpdateValue();
+  virtual void ComputeUpdateValue(int param_id, Dtype rate);
   void constructor_sanity_check() {
     CHECK_EQ(0, this->param_.momentum())
         << "Momentum cannot be used with AdaGrad.";
index bd5f31e..fc15609 100644 (file)
@@ -40,34 +40,36 @@ class MultiDeviceTest : public ::testing::Test {
 
 typedef ::testing::Types<float, double> TestDtypes;
 
-struct FloatCPU {
-  typedef float Dtype;
+template <typename TypeParam>
+struct CPUDevice {
+  typedef TypeParam Dtype;
   static const Caffe::Brew device = Caffe::CPU;
 };
 
-struct DoubleCPU {
-  typedef double Dtype;
-  static const Caffe::Brew device = Caffe::CPU;
+template <typename Dtype>
+class CPUDeviceTest : public MultiDeviceTest<CPUDevice<Dtype> > {
 };
 
 #ifdef CPU_ONLY
 
-typedef ::testing::Types<FloatCPU, DoubleCPU> TestDtypesAndDevices;
+typedef ::testing::Types<CPUDevice<float>,
+                         CPUDevice<double> > TestDtypesAndDevices;
 
 #else
 
-struct FloatGPU {
-  typedef float Dtype;
+template <typename TypeParam>
+struct GPUDevice {
+  typedef TypeParam Dtype;
   static const Caffe::Brew device = Caffe::GPU;
 };
 
-struct DoubleGPU {
-  typedef double Dtype;
-  static const Caffe::Brew device = Caffe::GPU;
+template <typename Dtype>
+class GPUDeviceTest : public MultiDeviceTest<GPUDevice<Dtype> > {
 };
 
-typedef ::testing::Types<FloatCPU, DoubleCPU, FloatGPU, DoubleGPU>
-    TestDtypesAndDevices;
+typedef ::testing::Types<CPUDevice<float>, CPUDevice<double>,
+                         GPUDevice<float>, GPUDevice<double> >
+                         TestDtypesAndDevices;
 
 #endif
 
index 2293771..cc5dcba 100644 (file)
@@ -80,11 +80,14 @@ void GradientChecker<Dtype>::CheckGradientSingle(Layer<Dtype>* layer,
       CHECK_EQ(top_count, bottom[blob_id]->count());
     }
   }
-  // First, figure out what blobs we need to check against.
+  // First, figure out what blobs we need to check against, and zero init
+  // parameter blobs.
   vector<Blob<Dtype>*> blobs_to_check;
   vector<bool> propagate_down(bottom.size(), check_bottom < 0);
   for (int i = 0; i < layer->blobs().size(); ++i) {
-    blobs_to_check.push_back(layer->blobs()[i].get());
+    Blob<Dtype>* blob = layer->blobs()[i].get();
+    caffe_set(blob->count(), static_cast<Dtype>(0), blob->mutable_cpu_diff());
+    blobs_to_check.push_back(blob);
   }
   if (check_bottom < 0) {
     for (int i = 0; i < bottom.size(); ++i) {
diff --git a/matlab/+caffe/+test/test_net.m b/matlab/+caffe/+test/test_net.m
new file mode 100644 (file)
index 0000000..3dabe84
--- /dev/null
@@ -0,0 +1,96 @@
+classdef test_net < matlab.unittest.TestCase
+  
+  properties
+    num_output
+    model_file
+    net
+  end
+  
+  methods (Static)
+    function model_file = simple_net_file(num_output)
+      model_file = tempname();
+      fid = fopen(model_file, 'w');
+      fprintf(fid, [ ...
+        'name: "testnet" force_backward: true\n' ...
+        'layer { type: "DummyData" name: "data" top: "data" top: "label"\n' ...
+        'dummy_data_param { num: 5 channels: 2 height: 3 width: 4\n' ...
+        '    num: 5 channels: 1 height: 1 width: 1\n' ...
+        '    data_filler { type: "gaussian" std: 1 }\n' ...
+        '    data_filler { type: "constant" } } }\n' ...
+        'layer { type: "Convolution" name: "conv" bottom: "data" top: "conv"\n' ...
+        '  convolution_param { num_output: 11 kernel_size: 2 pad: 3\n' ...
+        '    weight_filler { type: "gaussian" std: 1 }\n' ...
+        '    bias_filler { type: "constant" value: 2 } }\n' ...
+        '    param { decay_mult: 1 } param { decay_mult: 0 }\n' ...
+        '    }\n' ...
+        'layer { type: "InnerProduct" name: "ip" bottom: "conv" top: "ip"\n' ...
+        '  inner_product_param { num_output: ' num2str(num_output) ...
+        '    weight_filler { type: "gaussian" std: 2.5 }\n' ...
+        '    bias_filler { type: "constant" value: -3 } } }\n' ...
+        'layer { type: "SoftmaxWithLoss" name: "loss" bottom: "ip" bottom: "label"\n' ...
+        '  top: "loss" }' ]);
+      fclose(fid);
+    end
+  end
+  methods
+    function self = test_net()
+      self.num_output = 13;
+      self.model_file = caffe.test.test_net.simple_net_file(self.num_output);
+      self.net = caffe.Net(self.model_file, 'train');
+      % also make sure get_solver runs
+      caffe.get_net(self.model_file, 'train');
+      
+      % fill in valid labels
+      self.net.blobs('label').set_data(randi( ...
+        self.num_output - 1, self.net.blobs('label').shape));
+      
+      delete(self.model_file);
+    end
+  end
+  methods (Test)
+    function self = test_blob(self)
+      self.net.blobs('data').set_data(10 * ones(self.net.blobs('data').shape));
+      self.verifyEqual(self.net.blobs('data').get_data(), ...
+        10 * ones(self.net.blobs('data').shape, 'single'));
+      self.net.blobs('data').set_diff(-2 * ones(self.net.blobs('data').shape));
+      self.verifyEqual(self.net.blobs('data').get_diff(), ...
+        -2 * ones(self.net.blobs('data').shape, 'single'));
+      original_shape = self.net.blobs('data').shape;
+      self.net.blobs('data').reshape([6 5 4 3 2 1]);
+      self.verifyEqual(self.net.blobs('data').shape, [6 5 4 3 2 1]);
+      self.net.blobs('data').reshape(original_shape);
+      self.net.reshape();
+    end
+    function self = test_layer(self)
+      self.verifyEqual(self.net.params('conv', 1).shape, [2 2 2 11]);
+      self.verifyEqual(self.net.layers('conv').params(2).shape, 11);
+      self.verifyEqual(self.net.layers('conv').type(), 'Convolution');
+    end
+    function test_forward_backward(self)
+      self.net.forward_prefilled();
+      self.net.backward_prefilled();
+    end
+    function test_inputs_outputs(self)
+      self.verifyEqual(self.net.inputs, cell(0, 1))
+      self.verifyEqual(self.net.outputs, {'loss'});
+    end
+    function test_save_and_read(self)
+      weights_file = tempname();
+      self.net.save(weights_file);
+      model_file2 = caffe.test.test_net.simple_net_file(self.num_output);
+      net2 = caffe.Net(model_file2, 'train');
+      net2.copy_from(weights_file);
+      net3 = caffe.Net(model_file2, weights_file, 'train');
+      delete(model_file2);
+      delete(weights_file);
+      for l = 1:length(self.net.layer_vec)
+        for i = 1:length(self.net.layer_vec(l).params)
+          self.verifyEqual(self.net.layer_vec(l).params(i).get_data(), ...
+            net2.layer_vec(l).params(i).get_data());
+          self.verifyEqual(self.net.layer_vec(l).params(i).get_data(), ...
+            net3.layer_vec(l).params(i).get_data());
+        end
+      end
+    end
+  end
+end
diff --git a/matlab/+caffe/+test/test_solver.m b/matlab/+caffe/+test/test_solver.m
new file mode 100644 (file)
index 0000000..739258b
--- /dev/null
@@ -0,0 +1,45 @@
+classdef test_solver < matlab.unittest.TestCase
+  
+  properties
+    num_output
+    solver
+  end
+  
+  methods
+    function self = test_solver()
+      self.num_output = 13;
+      model_file = caffe.test.test_net.simple_net_file(self.num_output);
+      solver_file = tempname();
+      
+      fid = fopen(solver_file, 'w');
+      fprintf(fid, [ ...
+        'net: "'  model_file  '"\n' ...
+        'test_iter: 10 test_interval: 10 base_lr: 0.01 momentum: 0.9\n' ...
+        'weight_decay: 0.0005 lr_policy: "inv" gamma: 0.0001 power: 0.75\n' ...
+        'display: 100 max_iter: 100 snapshot_after_train: false\n' ]);
+      fclose(fid);
+      
+      self.solver = caffe.Solver(solver_file);
+      % also make sure get_solver runs
+      caffe.get_solver(solver_file);
+      caffe.set_mode_cpu();
+      % fill in valid labels
+      self.solver.net.blobs('label').set_data(randi( ...
+        self.num_output - 1, self.solver.net.blobs('label').shape));
+      self.solver.test_nets(1).blobs('label').set_data(randi( ...
+        self.num_output - 1, self.solver.test_nets(1).blobs('label').shape));
+      
+      delete(solver_file);
+      delete(model_file);
+    end
+  end
+  methods (Test)
+    function test_solve(self)
+      self.verifyEqual(self.solver.iter(), 0)
+      self.solver.step(30);
+      self.verifyEqual(self.solver.iter(), 30)
+      self.solver.solve()
+      self.verifyEqual(self.solver.iter(), 100)
+    end
+  end
+end
diff --git a/matlab/+caffe/Blob.m b/matlab/+caffe/Blob.m
new file mode 100644 (file)
index 0000000..e39f7ee
--- /dev/null
@@ -0,0 +1,78 @@
+classdef Blob < handle
+  % Wrapper class of caffe::Blob in matlab
+  
+  properties (Access = private)
+    hBlob_self
+  end
+  
+  methods
+    function self = Blob(hBlob_blob)
+      CHECK(is_valid_handle(hBlob_blob), 'invalid Blob handle');
+      
+      % setup self handle
+      self.hBlob_self = hBlob_blob;
+    end
+    function shape = shape(self)
+      shape = caffe_('blob_get_shape', self.hBlob_self);
+    end
+    function reshape(self, shape)
+      shape = self.check_and_preprocess_shape(shape);
+      caffe_('blob_reshape', self.hBlob_self, shape);
+    end
+    function data = get_data(self)
+      data = caffe_('blob_get_data', self.hBlob_self);
+    end
+    function set_data(self, data)
+      data = self.check_and_preprocess_data(data);
+      caffe_('blob_set_data', self.hBlob_self, data);
+    end
+    function diff = get_diff(self)
+      diff = caffe_('blob_get_diff', self.hBlob_self);
+    end
+    function set_diff(self, diff)
+      diff = self.check_and_preprocess_data(diff);
+      caffe_('blob_set_diff', self.hBlob_self, diff);
+    end
+  end
+  
+  methods (Access = private)
+    function shape = check_and_preprocess_shape(~, shape)
+      CHECK(isempty(shape) || (isnumeric(shape) && isrow(shape)), ...
+        'shape must be a integer row vector');
+      shape = double(shape);
+    end
+    function data = check_and_preprocess_data(self, data)
+      CHECK(isnumeric(data), 'data or diff must be numeric types');
+      self.check_data_size_matches(data);
+      if ~isa(data, 'single')
+        data = single(data);
+      end
+    end
+    function check_data_size_matches(self, data)
+      % check whether size of data matches shape of this blob
+      % note: matlab arrays always have at least 2 dimensions. To compare
+      % shape between size of data and shape of this blob, extend shape of
+      % this blob to have at least 2 dimensions
+      self_shape_extended = self.shape;
+      if isempty(self_shape_extended)
+        % target blob is a scalar (0 dim)
+        self_shape_extended = [1, 1];
+      elseif isscalar(self_shape_extended)
+        % target blob is a vector (1 dim)
+        self_shape_extended = [self_shape_extended, 1];
+      end
+      % Also, matlab cannot have tailing dimension 1 for ndim > 2, so you
+      % cannot create 20 x 10 x 1 x 1 array in matlab as it becomes 20 x 10
+      % Extend matlab arrays to have tailing dimension 1 during shape match
+      data_size_extended = ...
+        [size(data), ones(1, length(self_shape_extended) - ndims(data))];
+      is_matched = ...
+        (length(self_shape_extended) == length(data_size_extended)) ...
+        && all(self_shape_extended == data_size_extended);
+      CHECK(is_matched, ...
+        sprintf('%s, input data/diff size: [ %s] vs target blob shape: [ %s]', ...
+        'input data/diff size does not match target blob shape', ...
+        sprintf('%d ', data_size_extended), sprintf('%d ', self_shape_extended)));
+    end
+  end
+end
diff --git a/matlab/+caffe/Layer.m b/matlab/+caffe/Layer.m
new file mode 100644 (file)
index 0000000..4c20231
--- /dev/null
@@ -0,0 +1,32 @@
+classdef Layer < handle
+  % Wrapper class of caffe::Layer in matlab
+  
+  properties (Access = private)
+    hLayer_self
+    attributes
+    % attributes fields:
+    %     hBlob_blobs
+  end
+  properties (SetAccess = private)
+    params
+  end
+  
+  methods
+    function self = Layer(hLayer_layer)
+      CHECK(is_valid_handle(hLayer_layer), 'invalid Layer handle');
+      
+      % setup self handle and attributes
+      self.hLayer_self = hLayer_layer;
+      self.attributes = caffe_('layer_get_attr', self.hLayer_self);
+      
+      % setup weights
+      self.params = caffe.Blob.empty();
+      for n = 1:length(self.attributes.hBlob_blobs)
+        self.params(n) = caffe.Blob(self.attributes.hBlob_blobs(n));
+      end
+    end
+    function layer_type = type(self)
+      layer_type = caffe_('layer_get_type', self.hLayer_self);
+    end
+  end
+end
diff --git a/matlab/+caffe/Net.m b/matlab/+caffe/Net.m
new file mode 100644 (file)
index 0000000..e6295bb
--- /dev/null
@@ -0,0 +1,133 @@
+classdef Net < handle
+  % Wrapper class of caffe::Net in matlab
+  
+  properties (Access = private)
+    hNet_self
+    attributes
+    % attribute fields
+    %     hLayer_layers
+    %     hBlob_blobs
+    %     input_blob_indices
+    %     output_blob_indices
+    %     layer_names
+    %     blob_names
+  end
+  properties (SetAccess = private)
+    layer_vec
+    blob_vec
+    inputs
+    outputs
+    name2layer_index
+    name2blob_index
+    layer_names
+    blob_names
+  end
+  
+  methods
+    function self = Net(varargin)
+      % decide whether to construct a net from model_file or handle
+      if ~(nargin == 1 && isstruct(varargin{1}))
+        % construct a net from model_file
+        self = caffe.get_net(varargin{:});
+        return
+      end
+      % construct a net from handle
+      hNet_net = varargin{1};
+      CHECK(is_valid_handle(hNet_net), 'invalid Net handle');
+      
+      % setup self handle and attributes
+      self.hNet_self = hNet_net;
+      self.attributes = caffe_('net_get_attr', self.hNet_self);
+      
+      % setup layer_vec
+      self.layer_vec = caffe.Layer.empty();
+      for n = 1:length(self.attributes.hLayer_layers)
+        self.layer_vec(n) = caffe.Layer(self.attributes.hLayer_layers(n));
+      end
+      
+      % setup blob_vec
+      self.blob_vec = caffe.Blob.empty();
+      for n = 1:length(self.attributes.hBlob_blobs);
+        self.blob_vec(n) = caffe.Blob(self.attributes.hBlob_blobs(n));
+      end
+      
+      % setup input and output blob and their names
+      % note: add 1 to indices as matlab is 1-indexed while C++ is 0-indexed
+      self.inputs = ...
+        self.attributes.blob_names(self.attributes.input_blob_indices + 1);
+      self.outputs = ...
+        self.attributes.blob_names(self.attributes.output_blob_indices + 1);
+      
+      % create map objects to map from name to layers and blobs
+      self.name2layer_index = containers.Map(self.attributes.layer_names, ...
+        1:length(self.attributes.layer_names));
+      self.name2blob_index = containers.Map(self.attributes.blob_names, ...
+        1:length(self.attributes.blob_names));
+      
+      % expose layer_names and blob_names for public read access
+      self.layer_names = self.attributes.layer_names;
+      self.blob_names = self.attributes.blob_names;
+    end
+    function layer = layers(self, layer_name)
+      CHECK(ischar(layer_name), 'layer_name must be a string');
+      layer = self.layer_vec(self.name2layer_index(layer_name));
+    end
+    function blob = blobs(self, blob_name)
+      CHECK(ischar(blob_name), 'blob_name must be a string');
+      blob = self.blob_vec(self.name2blob_index(blob_name));
+    end
+    function blob = params(self, layer_name, blob_index)
+      CHECK(ischar(layer_name), 'layer_name must be a string');
+      CHECK(isscalar(blob_index), 'blob_index must be a scalar');
+      blob = self.layer_vec(self.name2layer_index(layer_name)).params(blob_index);
+    end
+    function forward_prefilled(self)
+      caffe_('net_forward', self.hNet_self);
+    end
+    function backward_prefilled(self)
+      caffe_('net_backward', self.hNet_self);
+    end
+    function res = forward(self, input_data)
+      CHECK(iscell(input_data), 'input_data must be a cell array');
+      CHECK(length(input_data) == length(self.inputs), ...
+        'input data cell length must match input blob number');
+      % copy data to input blobs
+      for n = 1:length(self.inputs)
+        self.blobs(self.inputs{n}).set_data(input_data{n});
+      end
+      self.forward_prefilled();
+      % retrieve data from output blobs
+      res = cell(length(self.outputs), 1);
+      for n = 1:length(self.outputs)
+        res{n} = self.blobs(self.outputs{n}).get_data();
+      end
+    end
+    function res = backward(self, output_diff)
+      CHECK(iscell(output_diff), 'output_diff must be a cell array');
+      CHECK(length(output_diff) == length(self.outputs), ...
+        'output diff cell length must match output blob number');
+      % copy diff to output blobs
+      for n = 1:length(self.outputs)
+        self.blobs(self.outputs{n}).set_diff(output_diff{n});
+      end
+      self.backward_prefilled();
+      % retrieve diff from input blobs
+      res = cell(length(self.inputs), 1);
+      for n = 1:length(self.inputs)
+        res{n} = self.blobs(self.inputs{n}).get_diff();
+      end
+    end
+    function copy_from(self, weights_file)
+      CHECK(ischar(weights_file), 'weights_file must be a string');
+      CHECK_FILE_EXIST(weights_file);
+      caffe_('net_copy_from', self.hNet_self, weights_file);
+    end
+    function reshape(self)
+      caffe_('net_reshape', self.hNet_self);
+    end
+    function save(self, weights_file)
+      CHECK(ischar(weights_file), 'weights_file must be a string');
+      caffe_('net_save', self.hNet_self, weights_file);
+    end
+  end
+end
diff --git a/matlab/+caffe/Solver.m b/matlab/+caffe/Solver.m
new file mode 100644 (file)
index 0000000..f8bdc4e
--- /dev/null
@@ -0,0 +1,56 @@
+classdef Solver < handle
+  % Wrapper class of caffe::SGDSolver in matlab
+  
+  properties (Access = private)
+    hSolver_self
+    attributes
+    % attribute fields
+    %     hNet_net
+    %     hNet_test_nets
+  end
+  properties (SetAccess = private)
+    net
+    test_nets
+  end
+  
+  methods
+    function self = Solver(varargin)
+      % decide whether to construct a solver from solver_file or handle
+      if ~(nargin == 1 && isstruct(varargin{1}))
+        % construct a solver from solver_file
+        self = caffe.get_solver(varargin{:});
+        return
+      end
+      % construct a solver from handle
+      hSolver_solver = varargin{1};
+      CHECK(is_valid_handle(hSolver_solver), 'invalid Solver handle');
+      
+      % setup self handle and attributes
+      self.hSolver_self = hSolver_solver;
+      self.attributes = caffe_('solver_get_attr', self.hSolver_self);
+      
+      % setup net and test_nets
+      self.net = caffe.Net(self.attributes.hNet_net);
+      self.test_nets = caffe.Net.empty();
+      for n = 1:length(self.attributes.hNet_test_nets)
+        self.test_nets(n) = caffe.Net(self.attributes.hNet_test_nets(n));
+      end
+    end
+    function iter = iter(self)
+      iter = caffe_('solver_get_iter', self.hSolver_self);
+    end
+    function restore(self, snapshot_filename)
+      CHECK(ischar(snapshot_filename), 'snapshot_filename must be a string');
+      CHECK_FILE_EXIST(snapshot_filename);
+      caffe_('solver_restore', self.hSolver_self, snapshot_filename);
+    end
+    function solve(self)
+      caffe_('solver_solve', self.hSolver_self);
+    end
+    function step(self, iters)
+      CHECK(isscalar(iters) && iters > 0, 'iters must be positive integer');
+      iters = double(iters);
+      caffe_('solver_step', self.hSolver_self, iters);
+    end
+  end
+end
diff --git a/matlab/+caffe/get_net.m b/matlab/+caffe/get_net.m
new file mode 100644 (file)
index 0000000..4b5683e
--- /dev/null
@@ -0,0 +1,37 @@
+function net = get_net(varargin)
+% net = get_net(model_file, phase_name) or
+% net = get_net(model_file, weights_file, phase_name)
+%   Construct a net from model_file, and load weights from weights_file
+%   phase_name can only be 'train' or 'test'
+
+CHECK(nargin == 2 || nargin == 3, ['usage: ' ...
+  'net = get_net(model_file, phase_name) or ' ...
+  'net = get_net(model_file, weights_file, phase_name)']);
+if nargin == 3
+  model_file = varargin{1};
+  weights_file = varargin{2};
+  phase_name = varargin{3};
+elseif nargin == 2
+  model_file = varargin{1};
+  phase_name = varargin{2};
+end
+
+CHECK(ischar(model_file), 'model_file must be a string');
+CHECK(ischar(phase_name), 'phase_name must be a string');
+CHECK_FILE_EXIST(model_file);
+CHECK(strcmp(phase_name, 'train') || strcmp(phase_name, 'test'), ...
+  sprintf('phase_name can only be %strain%s or %stest%s', ...
+  char(39), char(39), char(39), char(39)));
+
+% construct caffe net from model_file
+hNet = caffe_('get_net', model_file, phase_name);
+net = caffe.Net(hNet);
+
+% load weights from weights_file
+if nargin == 3
+  CHECK(ischar(weights_file), 'weights_file must be a string');
+  CHECK_FILE_EXIST(weights_file);
+  net.copy_from(weights_file);
+end
+
+end
diff --git a/matlab/+caffe/get_solver.m b/matlab/+caffe/get_solver.m
new file mode 100644 (file)
index 0000000..74d576e
--- /dev/null
@@ -0,0 +1,10 @@
+function solver = get_solver(solver_file)
+% solver = get_solver(solver_file)
+%   Construct a Solver object from solver_file
+
+CHECK(ischar(solver_file), 'solver_file must be a string');
+CHECK_FILE_EXIST(solver_file);
+pSolver = caffe_('get_solver', solver_file);
+solver = caffe.Solver(pSolver);
+
+end
diff --git a/matlab/+caffe/imagenet/ilsvrc_2012_mean.mat b/matlab/+caffe/imagenet/ilsvrc_2012_mean.mat
new file mode 100644 (file)
index 0000000..21df3d3
Binary files /dev/null and b/matlab/+caffe/imagenet/ilsvrc_2012_mean.mat differ
diff --git a/matlab/+caffe/io.m b/matlab/+caffe/io.m
new file mode 100644 (file)
index 0000000..af8369d
--- /dev/null
@@ -0,0 +1,33 @@
+classdef io
+  % a class for input and output functions
+  
+  methods (Static)
+    function im_data = load_image(im_file)
+      % im_data = load_image(im_file)
+      %   load an image from disk into Caffe-supported data format
+      %   switch channels from RGB to BGR, make width the fastest dimension
+      %   and convert to single
+      %   returns im_data in W x H x C. For colored images, C = 3 in BGR
+      %   channels, and for grayscale images, C = 1
+      CHECK(ischar(im_file), 'im_file must be a string');
+      CHECK_FILE_EXIST(im_file);
+      im_data = imread(im_file);
+      % permute channels from RGB to BGR for colored images
+      if size(im_data, 3) == 3
+        im_data = im_data(:, :, [3, 2, 1]);
+      end
+      % flip width and height to make width the fastest dimension
+      im_data = permute(im_data, [2, 1, 3]);
+      % convert from uint8 to single
+      im_data = single(im_data);
+    end
+    function mean_data = read_mean(mean_proto_file)
+      % mean_data = read_mean(mean_proto_file)
+      %   read image mean data from binaryproto file
+      %   returns mean_data in W x H x C with BGR channels
+      CHECK(ischar(mean_proto_file), 'mean_proto_file must be a string');
+      CHECK_FILE_EXIST(mean_proto_file);
+      mean_data = caffe_('read_mean', mean_proto_file);
+    end
+  end
+end
diff --git a/matlab/+caffe/private/CHECK.m b/matlab/+caffe/private/CHECK.m
new file mode 100644 (file)
index 0000000..2170654
--- /dev/null
@@ -0,0 +1,7 @@
+function CHECK(expr, error_msg)
+
+if ~expr
+  error(error_msg);
+end
+
+end
diff --git a/matlab/+caffe/private/CHECK_FILE_EXIST.m b/matlab/+caffe/private/CHECK_FILE_EXIST.m
new file mode 100644 (file)
index 0000000..8c80fb8
--- /dev/null
@@ -0,0 +1,7 @@
+function CHECK_FILE_EXIST(filename)
+
+if exist(filename, 'file') == 0
+  error('%s does not exist', filename);
+end
+
+end
diff --git a/matlab/+caffe/private/caffe_.cpp b/matlab/+caffe/private/caffe_.cpp
new file mode 100644 (file)
index 0000000..4e0ebc1
--- /dev/null
@@ -0,0 +1,546 @@
+//
+// caffe_.cpp provides wrappers of the caffe::Solver class, caffe::Net class,
+// caffe::Layer class and caffe::Blob class and some caffe::Caffe functions,
+// so that one could easily use Caffe from matlab.
+// Note that for matlab, we will simply use float as the data type.
+
+// Internally, data is stored with dimensions reversed from Caffe's:
+// e.g., if the Caffe blob axes are (num, channels, height, width),
+// the matcaffe data is stored as (width, height, channels, num)
+// where width is the fastest dimension.
+
+#include <sstream>
+#include <string>
+#include <vector>
+
+#include "mex.h"
+
+#include "caffe/caffe.hpp"
+
+#define MEX_ARGS int nlhs, mxArray **plhs, int nrhs, const mxArray **prhs
+
+using namespace caffe;  // NOLINT(build/namespaces)
+
+// Do CHECK and throw a Mex error if check fails
+inline void mxCHECK(bool expr, const char* msg) {
+  if (!expr) {
+    mexErrMsgTxt(msg);
+  }
+}
+inline void mxERROR(const char* msg) { mexErrMsgTxt(msg); }
+
+// Check if a file exists and can be opened
+void mxCHECK_FILE_EXIST(const char* file) {
+  std::ifstream f(file);
+  if (!f.good()) {
+    f.close();
+    std::string msg("Could not open file ");
+    msg += file;
+    mxERROR(msg.c_str());
+  }
+  f.close();
+}
+
+// The pointers to caffe::Solver and caffe::Net instances
+static vector<shared_ptr<Solver<float> > > solvers_;
+static vector<shared_ptr<Net<float> > > nets_;
+// init_key is generated at the beginning and everytime you call reset
+static double init_key = static_cast<double>(caffe_rng_rand());
+
+/** -----------------------------------------------------------------
+ ** data conversion functions
+ **/
+// Enum indicates which blob memory to use
+enum WhichMemory { DATA, DIFF };
+
+// Copy matlab array to Blob data or diff
+static void mx_mat_to_blob(const mxArray* mx_mat, Blob<float>* blob,
+    WhichMemory data_or_diff) {
+  mxCHECK(blob->count() == mxGetNumberOfElements(mx_mat),
+      "number of elements in target blob doesn't match that in input mxArray");
+  const float* mat_mem_ptr = reinterpret_cast<const float*>(mxGetData(mx_mat));
+  float* blob_mem_ptr = NULL;
+  switch (Caffe::mode()) {
+  case Caffe::CPU:
+    blob_mem_ptr = (data_or_diff == DATA ?
+        blob->mutable_cpu_data() : blob->mutable_cpu_diff());
+    break;
+  case Caffe::GPU:
+    blob_mem_ptr = (data_or_diff == DATA ?
+        blob->mutable_gpu_data() : blob->mutable_gpu_diff());
+    break;
+  default:
+    mxERROR("Unknown Caffe mode");
+  }
+  caffe_copy(blob->count(), mat_mem_ptr, blob_mem_ptr);
+}
+
+// Copy Blob data or diff to matlab array
+static mxArray* blob_to_mx_mat(const Blob<float>* blob,
+    WhichMemory data_or_diff) {
+  const int num_axes = blob->num_axes();
+  vector<mwSize> dims(num_axes);
+  for (int blob_axis = 0, mat_axis = num_axes - 1; blob_axis < num_axes;
+       ++blob_axis, --mat_axis) {
+    dims[mat_axis] = static_cast<mwSize>(blob->shape(blob_axis));
+  }
+  // matlab array needs to have at least one dimension, convert scalar to 1-dim
+  if (num_axes == 0) {
+    dims.push_back(1);
+  }
+  mxArray* mx_mat =
+      mxCreateNumericArray(dims.size(), dims.data(), mxSINGLE_CLASS, mxREAL);
+  float* mat_mem_ptr = reinterpret_cast<float*>(mxGetData(mx_mat));
+  const float* blob_mem_ptr = NULL;
+  switch (Caffe::mode()) {
+  case Caffe::CPU:
+    blob_mem_ptr = (data_or_diff == DATA ? blob->cpu_data() : blob->cpu_diff());
+    break;
+  case Caffe::GPU:
+    blob_mem_ptr = (data_or_diff == DATA ? blob->gpu_data() : blob->gpu_diff());
+    break;
+  default:
+    mxERROR("Unknown Caffe mode");
+  }
+  caffe_copy(blob->count(), blob_mem_ptr, mat_mem_ptr);
+  return mx_mat;
+}
+
+// Convert vector<int> to matlab row vector
+static mxArray* int_vec_to_mx_vec(const vector<int>& int_vec) {
+  mxArray* mx_vec = mxCreateDoubleMatrix(int_vec.size(), 1, mxREAL);
+  double* vec_mem_ptr = mxGetPr(mx_vec);
+  for (int i = 0; i < int_vec.size(); i++) {
+    vec_mem_ptr[i] = static_cast<double>(int_vec[i]);
+  }
+  return mx_vec;
+}
+
+// Convert vector<string> to matlab cell vector of strings
+static mxArray* str_vec_to_mx_strcell(const vector<std::string>& str_vec) {
+  mxArray* mx_strcell = mxCreateCellMatrix(str_vec.size(), 1);
+  for (int i = 0; i < str_vec.size(); i++) {
+    mxSetCell(mx_strcell, i, mxCreateString(str_vec[i].c_str()));
+  }
+  return mx_strcell;
+}
+
+/** -----------------------------------------------------------------
+ ** handle and pointer conversion functions
+ ** a handle is a struct array with the following fields
+ **   (uint64) ptr      : the pointer to the C++ object
+ **   (double) init_key : caffe initialization key
+ **/
+// Convert a handle in matlab to a pointer in C++. Check if init_key matches
+template <typename T>
+static T* handle_to_ptr(const mxArray* mx_handle) {
+  mxArray* mx_ptr = mxGetField(mx_handle, 0, "ptr");
+  mxArray* mx_init_key = mxGetField(mx_handle, 0, "init_key");
+  mxCHECK(mxIsUint64(mx_ptr), "pointer type must be uint64");
+  mxCHECK(mxGetScalar(mx_init_key) == init_key,
+      "Could not convert handle to pointer due to invalid init_key. "
+      "The object might have been cleared.");
+  return reinterpret_cast<T*>(*reinterpret_cast<uint64_t*>(mxGetData(mx_ptr)));
+}
+
+// Create a handle struct vector, without setting up each handle in it
+template <typename T>
+static mxArray* create_handle_vec(int ptr_num) {
+  const int handle_field_num = 2;
+  const char* handle_fields[handle_field_num] = { "ptr", "init_key" };
+  return mxCreateStructMatrix(ptr_num, 1, handle_field_num, handle_fields);
+}
+
+// Set up a handle in a handle struct vector by its index
+template <typename T>
+static void setup_handle(const T* ptr, int index, mxArray* mx_handle_vec) {
+  mxArray* mx_ptr = mxCreateNumericMatrix(1, 1, mxUINT64_CLASS, mxREAL);
+  *reinterpret_cast<uint64_t*>(mxGetData(mx_ptr)) =
+      reinterpret_cast<uint64_t>(ptr);
+  mxSetField(mx_handle_vec, index, "ptr", mx_ptr);
+  mxSetField(mx_handle_vec, index, "init_key", mxCreateDoubleScalar(init_key));
+}
+
+// Convert a pointer in C++ to a handle in matlab
+template <typename T>
+static mxArray* ptr_to_handle(const T* ptr) {
+  mxArray* mx_handle = create_handle_vec<T>(1);
+  setup_handle(ptr, 0, mx_handle);
+  return mx_handle;
+}
+
+// Convert a vector of shared_ptr in C++ to handle struct vector
+template <typename T>
+static mxArray* ptr_vec_to_handle_vec(const vector<shared_ptr<T> >& ptr_vec) {
+  mxArray* mx_handle_vec = create_handle_vec<T>(ptr_vec.size());
+  for (int i = 0; i < ptr_vec.size(); i++) {
+    setup_handle(ptr_vec[i].get(), i, mx_handle_vec);
+  }
+  return mx_handle_vec;
+}
+
+/** -----------------------------------------------------------------
+ ** matlab command functions: caffe_(api_command, arg1, arg2, ...)
+ **/
+// Usage: caffe_('get_solver', solver_file);
+static void get_solver(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsChar(prhs[0]),
+      "Usage: caffe_('get_solver', solver_file)");
+  char* solver_file = mxArrayToString(prhs[0]);
+  mxCHECK_FILE_EXIST(solver_file);
+  shared_ptr<Solver<float> > solver(new caffe::SGDSolver<float>(solver_file));
+  solvers_.push_back(solver);
+  plhs[0] = ptr_to_handle<Solver<float> >(solver.get());
+  mxFree(solver_file);
+}
+
+// Usage: caffe_('solver_get_attr', hSolver)
+static void solver_get_attr(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('solver_get_attr', hSolver)");
+  Solver<float>* solver = handle_to_ptr<Solver<float> >(prhs[0]);
+  const int solver_attr_num = 2;
+  const char* solver_attrs[solver_attr_num] = { "hNet_net", "hNet_test_nets" };
+  mxArray* mx_solver_attr = mxCreateStructMatrix(1, 1, solver_attr_num,
+      solver_attrs);
+  mxSetField(mx_solver_attr, 0, "hNet_net",
+      ptr_to_handle<Net<float> >(solver->net().get()));
+  mxSetField(mx_solver_attr, 0, "hNet_test_nets",
+      ptr_vec_to_handle_vec<Net<float> >(solver->test_nets()));
+  plhs[0] = mx_solver_attr;
+}
+
+// Usage: caffe_('solver_get_iter', hSolver)
+static void solver_get_iter(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('solver_get_iter', hSolver)");
+  Solver<float>* solver = handle_to_ptr<Solver<float> >(prhs[0]);
+  plhs[0] = mxCreateDoubleScalar(solver->iter());
+}
+
+// Usage: caffe_('solver_restore', hSolver, snapshot_file)
+static void solver_restore(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsChar(prhs[1]),
+      "Usage: caffe_('solver_restore', hSolver, snapshot_file)");
+  Solver<float>* solver = handle_to_ptr<Solver<float> >(prhs[0]);
+  char* snapshot_file = mxArrayToString(prhs[1]);
+  mxCHECK_FILE_EXIST(snapshot_file);
+  solver->Restore(snapshot_file);
+  mxFree(snapshot_file);
+}
+
+// Usage: caffe_('solver_solve', hSolver)
+static void solver_solve(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('solver_solve', hSolver)");
+  Solver<float>* solver = handle_to_ptr<Solver<float> >(prhs[0]);
+  solver->Solve();
+}
+
+// Usage: caffe_('solver_step', hSolver, iters)
+static void solver_step(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsDouble(prhs[1]),
+      "Usage: caffe_('solver_step', hSolver, iters)");
+  Solver<float>* solver = handle_to_ptr<Solver<float> >(prhs[0]);
+  int iters = mxGetScalar(prhs[1]);
+  solver->Step(iters);
+}
+
+// Usage: caffe_('get_net', model_file, phase_name)
+static void get_net(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsChar(prhs[0]) && mxIsChar(prhs[1]),
+      "Usage: caffe_('get_net', model_file, phase_name)");
+  char* model_file = mxArrayToString(prhs[0]);
+  char* phase_name = mxArrayToString(prhs[1]);
+  mxCHECK_FILE_EXIST(model_file);
+  Phase phase;
+  if (strcmp(phase_name, "train") == 0) {
+      phase = TRAIN;
+  } else if (strcmp(phase_name, "test") == 0) {
+      phase = TEST;
+  } else {
+    mxERROR("Unknown phase");
+  }
+  shared_ptr<Net<float> > net(new caffe::Net<float>(model_file, phase));
+  nets_.push_back(net);
+  plhs[0] = ptr_to_handle<Net<float> >(net.get());
+  mxFree(model_file);
+  mxFree(phase_name);
+}
+
+// Usage: caffe_('net_get_attr', hNet)
+static void net_get_attr(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('net_get_attr', hNet)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  const int net_attr_num = 6;
+  const char* net_attrs[net_attr_num] = { "hLayer_layers", "hBlob_blobs",
+      "input_blob_indices", "output_blob_indices", "layer_names", "blob_names"};
+  mxArray* mx_net_attr = mxCreateStructMatrix(1, 1, net_attr_num,
+      net_attrs);
+  mxSetField(mx_net_attr, 0, "hLayer_layers",
+      ptr_vec_to_handle_vec<Layer<float> >(net->layers()));
+  mxSetField(mx_net_attr, 0, "hBlob_blobs",
+      ptr_vec_to_handle_vec<Blob<float> >(net->blobs()));
+  mxSetField(mx_net_attr, 0, "input_blob_indices",
+      int_vec_to_mx_vec(net->input_blob_indices()));
+  mxSetField(mx_net_attr, 0, "output_blob_indices",
+      int_vec_to_mx_vec(net->output_blob_indices()));
+  mxSetField(mx_net_attr, 0, "layer_names",
+      str_vec_to_mx_strcell(net->layer_names()));
+  mxSetField(mx_net_attr, 0, "blob_names",
+      str_vec_to_mx_strcell(net->blob_names()));
+  plhs[0] = mx_net_attr;
+}
+
+// Usage: caffe_('net_forward', hNet)
+static void net_forward(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('net_forward', hNet)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  net->ForwardPrefilled();
+}
+
+// Usage: caffe_('net_backward', hNet)
+static void net_backward(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('net_backward', hNet)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  net->Backward();
+}
+
+// Usage: caffe_('net_copy_from', hNet, weights_file)
+static void net_copy_from(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsChar(prhs[1]),
+      "Usage: caffe_('net_copy_from', hNet, weights_file)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  char* weights_file = mxArrayToString(prhs[1]);
+  mxCHECK_FILE_EXIST(weights_file);
+  net->CopyTrainedLayersFrom(weights_file);
+  mxFree(weights_file);
+}
+
+// Usage: caffe_('net_reshape', hNet)
+static void net_reshape(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('net_reshape', hNet)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  net->Reshape();
+}
+
+// Usage: caffe_('net_save', hNet, save_file)
+static void net_save(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsChar(prhs[1]),
+      "Usage: caffe_('net_save', hNet, save_file)");
+  Net<float>* net = handle_to_ptr<Net<float> >(prhs[0]);
+  char* weights_file = mxArrayToString(prhs[1]);
+  NetParameter net_param;
+  net->ToProto(&net_param, false);
+  WriteProtoToBinaryFile(net_param, weights_file);
+  mxFree(weights_file);
+}
+
+// Usage: caffe_('layer_get_attr', hLayer)
+static void layer_get_attr(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('layer_get_attr', hLayer)");
+  Layer<float>* layer = handle_to_ptr<Layer<float> >(prhs[0]);
+  const int layer_attr_num = 1;
+  const char* layer_attrs[layer_attr_num] = { "hBlob_blobs" };
+  mxArray* mx_layer_attr = mxCreateStructMatrix(1, 1, layer_attr_num,
+      layer_attrs);
+  mxSetField(mx_layer_attr, 0, "hBlob_blobs",
+      ptr_vec_to_handle_vec<Blob<float> >(layer->blobs()));
+  plhs[0] = mx_layer_attr;
+}
+
+// Usage: caffe_('layer_get_type', hLayer)
+static void layer_get_type(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('layer_get_type', hLayer)");
+  Layer<float>* layer = handle_to_ptr<Layer<float> >(prhs[0]);
+  plhs[0] = mxCreateString(layer->type());
+}
+
+// Usage: caffe_('blob_get_shape', hBlob)
+static void blob_get_shape(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('blob_get_shape', hBlob)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  const int num_axes = blob->num_axes();
+  mxArray* mx_shape = mxCreateDoubleMatrix(1, num_axes, mxREAL);
+  double* shape_mem_mtr = mxGetPr(mx_shape);
+  for (int blob_axis = 0, mat_axis = num_axes - 1; blob_axis < num_axes;
+       ++blob_axis, --mat_axis) {
+    shape_mem_mtr[mat_axis] = static_cast<double>(blob->shape(blob_axis));
+  }
+  plhs[0] = mx_shape;
+}
+
+// Usage: caffe_('blob_reshape', hBlob, new_shape)
+static void blob_reshape(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsDouble(prhs[1]),
+      "Usage: caffe_('blob_reshape', hBlob, new_shape)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  const mxArray* mx_shape = prhs[1];
+  double* shape_mem_mtr = mxGetPr(mx_shape);
+  const int num_axes = mxGetNumberOfElements(mx_shape);
+  vector<int> blob_shape(num_axes);
+  for (int blob_axis = 0, mat_axis = num_axes - 1; blob_axis < num_axes;
+       ++blob_axis, --mat_axis) {
+    blob_shape[blob_axis] = static_cast<int>(shape_mem_mtr[mat_axis]);
+  }
+  blob->Reshape(blob_shape);
+}
+
+// Usage: caffe_('blob_get_data', hBlob)
+static void blob_get_data(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('blob_get_data', hBlob)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  plhs[0] = blob_to_mx_mat(blob, DATA);
+}
+
+// Usage: caffe_('blob_set_data', hBlob, new_data)
+static void blob_set_data(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsSingle(prhs[1]),
+      "Usage: caffe_('blob_set_data', hBlob, new_data)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  mx_mat_to_blob(prhs[1], blob, DATA);
+}
+
+// Usage: caffe_('blob_get_diff', hBlob)
+static void blob_get_diff(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsStruct(prhs[0]),
+      "Usage: caffe_('blob_get_diff', hBlob)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  plhs[0] = blob_to_mx_mat(blob, DIFF);
+}
+
+// Usage: caffe_('blob_set_diff', hBlob, new_diff)
+static void blob_set_diff(MEX_ARGS) {
+  mxCHECK(nrhs == 2 && mxIsStruct(prhs[0]) && mxIsSingle(prhs[1]),
+      "Usage: caffe_('blob_set_diff', hBlob, new_diff)");
+  Blob<float>* blob = handle_to_ptr<Blob<float> >(prhs[0]);
+  mx_mat_to_blob(prhs[1], blob, DIFF);
+}
+
+// Usage: caffe_('set_mode_cpu')
+static void set_mode_cpu(MEX_ARGS) {
+  mxCHECK(nrhs == 0, "Usage: caffe_('set_mode_cpu')");
+  Caffe::set_mode(Caffe::CPU);
+}
+
+// Usage: caffe_('set_mode_gpu')
+static void set_mode_gpu(MEX_ARGS) {
+  mxCHECK(nrhs == 0, "Usage: caffe_('set_mode_gpu')");
+  Caffe::set_mode(Caffe::GPU);
+}
+
+// Usage: caffe_('set_device', device_id)
+static void set_device(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsDouble(prhs[0]),
+      "Usage: caffe_('set_device', device_id)");
+  int device_id = static_cast<int>(mxGetScalar(prhs[0]));
+  Caffe::SetDevice(device_id);
+}
+
+// Usage: caffe_('get_init_key')
+static void get_init_key(MEX_ARGS) {
+  mxCHECK(nrhs == 0, "Usage: caffe_('get_init_key')");
+  plhs[0] = mxCreateDoubleScalar(init_key);
+}
+
+// Usage: caffe_('reset')
+static void reset(MEX_ARGS) {
+  mxCHECK(nrhs == 0, "Usage: caffe_('reset')");
+  // Clear solvers and stand-alone nets
+  mexPrintf("Cleared %d solvers and %d stand-alone nets\n",
+      solvers_.size(), nets_.size());
+  solvers_.clear();
+  nets_.clear();
+  // Generate new init_key, so that handles created before becomes invalid
+  init_key = static_cast<double>(caffe_rng_rand());
+}
+
+// Usage: caffe_('read_mean', mean_proto_file)
+static void read_mean(MEX_ARGS) {
+  mxCHECK(nrhs == 1 && mxIsChar(prhs[0]),
+      "Usage: caffe_('read_mean', mean_proto_file)");
+  char* mean_proto_file = mxArrayToString(prhs[0]);
+  mxCHECK_FILE_EXIST(mean_proto_file);
+  Blob<float> data_mean;
+  BlobProto blob_proto;
+  bool result = ReadProtoFromBinaryFile(mean_proto_file, &blob_proto);
+  mxCHECK(result, "Could not read your mean file");
+  data_mean.FromProto(blob_proto);
+  plhs[0] = blob_to_mx_mat(&data_mean, DATA);
+  mxFree(mean_proto_file);
+}
+
+/** -----------------------------------------------------------------
+ ** Available commands.
+ **/
+struct handler_registry {
+  string cmd;
+  void (*func)(MEX_ARGS);
+};
+
+static handler_registry handlers[] = {
+  // Public API functions
+  { "get_solver",         get_solver      },
+  { "solver_get_attr",    solver_get_attr },
+  { "solver_get_iter",    solver_get_iter },
+  { "solver_restore",     solver_restore  },
+  { "solver_solve",       solver_solve    },
+  { "solver_step",        solver_step     },
+  { "get_net",            get_net         },
+  { "net_get_attr",       net_get_attr    },
+  { "net_forward",        net_forward     },
+  { "net_backward",       net_backward    },
+  { "net_copy_from",      net_copy_from   },
+  { "net_reshape",        net_reshape     },
+  { "net_save",           net_save        },
+  { "layer_get_attr",     layer_get_attr  },
+  { "layer_get_type",     layer_get_type  },
+  { "blob_get_shape",     blob_get_shape  },
+  { "blob_reshape",       blob_reshape    },
+  { "blob_get_data",      blob_get_data   },
+  { "blob_set_data",      blob_set_data   },
+  { "blob_get_diff",      blob_get_diff   },
+  { "blob_set_diff",      blob_set_diff   },
+  { "set_mode_cpu",       set_mode_cpu    },
+  { "set_mode_gpu",       set_mode_gpu    },
+  { "set_device",         set_device      },
+  { "get_init_key",       get_init_key    },
+  { "reset",              reset           },
+  { "read_mean",          read_mean       },
+  // The end.
+  { "END",                NULL            },
+};
+
+/** -----------------------------------------------------------------
+ ** matlab entry point.
+ **/
+// Usage: caffe_(api_command, arg1, arg2, ...)
+void mexFunction(MEX_ARGS) {
+  mexLock();  // Avoid clearing the mex file.
+  mxCHECK(nrhs > 0, "Usage: caffe_(api_command, arg1, arg2, ...)");
+  // Handle input command
+  char* cmd = mxArrayToString(prhs[0]);
+  bool dispatched = false;
+  // Dispatch to cmd handler
+  for (int i = 0; handlers[i].func != NULL; i++) {
+    if (handlers[i].cmd.compare(cmd) == 0) {
+      handlers[i].func(nlhs, plhs, nrhs-1, prhs+1);
+      dispatched = true;
+      break;
+    }
+  }
+  if (!dispatched) {
+    ostringstream error_msg;
+    error_msg << "Unknown command '" << cmd << "'";
+    mxERROR(error_msg.str().c_str());
+  }
+  mxFree(cmd);
+}
diff --git a/matlab/+caffe/private/is_valid_handle.m b/matlab/+caffe/private/is_valid_handle.m
new file mode 100644 (file)
index 0000000..a0648ec
--- /dev/null
@@ -0,0 +1,27 @@
+function valid = is_valid_handle(hObj)
+% valid = is_valid_handle(hObj) or is_valid_handle('get_new_init_key')
+%   Check if a handle is valid (has the right data type and init_key matches)
+%   Use is_valid_handle('get_new_init_key') to get new init_key from C++;
+
+% a handle is a struct array with the following fields
+%   (uint64) ptr      : the pointer to the C++ object
+%   (double) init_key : caffe initialization key
+
+persistent init_key;
+if isempty(init_key)
+  init_key = caffe_('get_init_key');
+end
+
+% is_valid_handle('get_new_init_key') to get new init_key from C++;
+if ischar(hObj) && strcmp(hObj, 'get_new_init_key')
+  init_key = caffe_('get_init_key');
+  return
+else
+  % check whether data types are correct and init_key matches
+  valid = isstruct(hObj) ...
+    && isscalar(hObj.ptr) && isa(hObj.ptr, 'uint64') ...
+    && isscalar(hObj.init_key) && isa(hObj.init_key, 'double') ...
+    && hObj.init_key == init_key;
+end
+
+end
diff --git a/matlab/+caffe/reset_all.m b/matlab/+caffe/reset_all.m
new file mode 100644 (file)
index 0000000..a8b33de
--- /dev/null
@@ -0,0 +1,8 @@
+function reset_all()
+% reset_all()
+%   clear all solvers and stand-alone nets and reset Caffe to initial status
+
+caffe_('reset');
+is_valid_handle('get_new_init_key');
+
+end
diff --git a/matlab/+caffe/run_tests.m b/matlab/+caffe/run_tests.m
new file mode 100644 (file)
index 0000000..9389685
--- /dev/null
@@ -0,0 +1,19 @@
+function results = run_tests()
+% results = run_tests()
+%   run all tests in this caffe matlab wrapper package
+
+% use CPU for testing
+caffe.set_mode_cpu();
+
+% reset caffe before testing
+caffe.reset_all();
+
+% put all test cases here
+results = [...
+  run(caffe.test.test_net) ...
+  run(caffe.test.test_solver) ];
+
+% reset caffe after testing
+caffe.reset_all();
+
+end
diff --git a/matlab/+caffe/set_device.m b/matlab/+caffe/set_device.m
new file mode 100644 (file)
index 0000000..f94068c
--- /dev/null
@@ -0,0 +1,11 @@
+function set_device(device_id)
+% set_device(device_id)
+%   set Caffe's GPU device ID
+
+CHECK(isscalar(device_id) && device_id >= 0, ...
+  'device_id must be non-negative integer');
+device_id = double(device_id);
+
+caffe_('set_device', device_id);
+
+end
diff --git a/matlab/+caffe/set_mode_cpu.m b/matlab/+caffe/set_mode_cpu.m
new file mode 100644 (file)
index 0000000..a87e0e2
--- /dev/null
@@ -0,0 +1,7 @@
+function set_mode_cpu()
+% set_mode_cpu()
+%   set Caffe to CPU mode
+
+caffe_('set_mode_cpu');
+
+end
diff --git a/matlab/+caffe/set_mode_gpu.m b/matlab/+caffe/set_mode_gpu.m
new file mode 100644 (file)
index 0000000..78e5f67
--- /dev/null
@@ -0,0 +1,7 @@
+function set_mode_gpu()
+% set_mode_gpu()
+%   set Caffe to GPU mode
+
+caffe_('set_mode_gpu');
+
+end
index 791a4e7..4b0d549 100644 (file)
@@ -31,8 +31,8 @@ function(caffe_fetch_and_set_proper_mexext mexfile_variable)
 endfunction()
 
 # global settings
-file(GLOB Matlab_srcs caffe/matcaffe.cpp)
-set(Matlab_caffe_mex ${PROJECT_SOURCE_DIR}/matlab/caffe/caffe.mex)
+file(GLOB Matlab_srcs +caffe/private/caffe_.cpp)
+set(Matlab_caffe_mex ${PROJECT_SOURCE_DIR}/matlab/+caffe/private/caffe_.mex)
 
 caffe_get_current_cflags(cflags)
 caffe_parse_linker_libs(Caffe_LINKER_LIBS folders libflags macos_frameworks)
diff --git a/matlab/caffe/ilsvrc_2012_mean.mat b/matlab/caffe/ilsvrc_2012_mean.mat
deleted file mode 100644 (file)
index f1da25c..0000000
Binary files a/matlab/caffe/ilsvrc_2012_mean.mat and /dev/null differ
diff --git a/matlab/caffe/matcaffe.cpp b/matlab/caffe/matcaffe.cpp
deleted file mode 100644 (file)
index da37d92..0000000
+++ /dev/null
@@ -1,421 +0,0 @@
-//
-// matcaffe.cpp provides a wrapper of the caffe::Net class as well as some
-// caffe::Caffe functions so that one could easily call it from matlab.
-// Note that for matlab, we will simply use float as the data type.
-
-#include <sstream>
-#include <string>
-#include <vector>
-
-#include "mex.h"
-
-#include "caffe/caffe.hpp"
-
-#define MEX_ARGS int nlhs, mxArray **plhs, int nrhs, const mxArray **prhs
-
-// Log and throw a Mex error
-inline void mex_error(const std::string &msg) {
-  LOG(ERROR) << msg;
-  mexErrMsgTxt(msg.c_str());
-}
-
-using namespace caffe;  // NOLINT(build/namespaces)
-
-// The pointer to the internal caffe::Net instance
-static shared_ptr<Net<float> > net_;
-static int init_key = -2;
-
-// Five things to be aware of:
-//   caffe uses row-major order
-//   matlab uses column-major order
-//   caffe uses BGR color channel order
-//   matlab uses RGB color channel order
-//   images need to have the data mean subtracted
-//
-// Data coming in from matlab needs to be in the order
-//   [width, height, channels, images]
-// where width is the fastest dimension.
-// Here is the rough matlab for putting image data into the correct
-// format:
-//   % convert from uint8 to single
-//   im = single(im);
-//   % reshape to a fixed size (e.g., 227x227)
-//   im = imresize(im, [IMAGE_DIM IMAGE_DIM], 'bilinear');
-//   % permute from RGB to BGR and subtract the data mean (already in BGR)
-//   im = im(:,:,[3 2 1]) - data_mean;
-//   % flip width and height to make width the fastest dimension
-//   im = permute(im, [2 1 3]);
-//
-// If you have multiple images, cat them with cat(4, ...)
-//
-// The actual forward function. It takes in a cell array of 4-D arrays as
-// input and outputs a cell array.
-
-static mxArray* do_forward(const mxArray* const bottom) {
-  const vector<Blob<float>*>& input_blobs = net_->input_blobs();
-  if (static_cast<unsigned int>(mxGetDimensions(bottom)[0]) !=
-      input_blobs.size()) {
-    mex_error("Invalid input size");
-  }
-  for (unsigned int i = 0; i < input_blobs.size(); ++i) {
-    const mxArray* const elem = mxGetCell(bottom, i);
-    if (!mxIsSingle(elem)) {
-      mex_error("MatCaffe require single-precision float point data");
-    }
-    if (mxGetNumberOfElements(elem) != input_blobs[i]->count()) {
-      std::string error_msg;
-      error_msg += "MatCaffe input size does not match the input size ";
-      error_msg += "of the network";
-      mex_error(error_msg);
-    }
-
-    const float* const data_ptr =
-        reinterpret_cast<const float* const>(mxGetPr(elem));
-    switch (Caffe::mode()) {
-    case Caffe::CPU:
-      caffe_copy(input_blobs[i]->count(), data_ptr,
-          input_blobs[i]->mutable_cpu_data());
-      break;
-    case Caffe::GPU:
-      caffe_copy(input_blobs[i]->count(), data_ptr,
-          input_blobs[i]->mutable_gpu_data());
-      break;
-    default:
-      mex_error("Unknown Caffe mode");
-    }  // switch (Caffe::mode())
-  }
-  const vector<Blob<float>*>& output_blobs = net_->ForwardPrefilled();
-  mxArray* mx_out = mxCreateCellMatrix(output_blobs.size(), 1);
-  for (unsigned int i = 0; i < output_blobs.size(); ++i) {
-    // internally data is stored as (width, height, channels, num)
-    // where width is the fastest dimension
-    mwSize dims[4] = {output_blobs[i]->width(), output_blobs[i]->height(),
-      output_blobs[i]->channels(), output_blobs[i]->num()};
-    mxArray* mx_blob =  mxCreateNumericArray(4, dims, mxSINGLE_CLASS, mxREAL);
-    mxSetCell(mx_out, i, mx_blob);
-    float* data_ptr = reinterpret_cast<float*>(mxGetPr(mx_blob));
-    switch (Caffe::mode()) {
-    case Caffe::CPU:
-      caffe_copy(output_blobs[i]->count(), output_blobs[i]->cpu_data(),
-          data_ptr);
-      break;
-    case Caffe::GPU:
-      caffe_copy(output_blobs[i]->count(), output_blobs[i]->gpu_data(),
-          data_ptr);
-      break;
-    default:
-      mex_error("Unknown Caffe mode");
-    }  // switch (Caffe::mode())
-  }
-
-  return mx_out;
-}
-
-static mxArray* do_backward(const mxArray* const top_diff) {
-  const vector<Blob<float>*>& output_blobs = net_->output_blobs();
-  const vector<Blob<float>*>& input_blobs = net_->input_blobs();
-  if (static_cast<unsigned int>(mxGetDimensions(top_diff)[0]) !=
-      output_blobs.size()) {
-    mex_error("Invalid input size");
-  }
-  // First, copy the output diff
-  for (unsigned int i = 0; i < output_blobs.size(); ++i) {
-    const mxArray* const elem = mxGetCell(top_diff, i);
-    const float* const data_ptr =
-        reinterpret_cast<const float* const>(mxGetPr(elem));
-    switch (Caffe::mode()) {
-    case Caffe::CPU:
-      caffe_copy(output_blobs[i]->count(), data_ptr,
-          output_blobs[i]->mutable_cpu_diff());
-      break;
-    case Caffe::GPU:
-      caffe_copy(output_blobs[i]->count(), data_ptr,
-          output_blobs[i]->mutable_gpu_diff());
-      break;
-    default:
-        mex_error("Unknown Caffe mode");
-    }  // switch (Caffe::mode())
-  }
-  // LOG(INFO) << "Start";
-  net_->Backward();
-  // LOG(INFO) << "End";
-  mxArray* mx_out = mxCreateCellMatrix(input_blobs.size(), 1);
-  for (unsigned int i = 0; i < input_blobs.size(); ++i) {
-    // internally data is stored as (width, height, channels, num)
-    // where width is the fastest dimension
-    mwSize dims[4] = {input_blobs[i]->width(), input_blobs[i]->height(),
-      input_blobs[i]->channels(), input_blobs[i]->num()};
-    mxArray* mx_blob =  mxCreateNumericArray(4, dims, mxSINGLE_CLASS, mxREAL);
-    mxSetCell(mx_out, i, mx_blob);
-    float* data_ptr = reinterpret_cast<float*>(mxGetPr(mx_blob));
-    switch (Caffe::mode()) {
-    case Caffe::CPU:
-      caffe_copy(input_blobs[i]->count(), input_blobs[i]->cpu_diff(), data_ptr);
-      break;
-    case Caffe::GPU:
-      caffe_copy(input_blobs[i]->count(), input_blobs[i]->gpu_diff(), data_ptr);
-      break;
-    default:
-        mex_error("Unknown Caffe mode");
-    }  // switch (Caffe::mode())
-  }
-
-  return mx_out;
-}
-
-static mxArray* do_get_weights() {
-  const vector<shared_ptr<Layer<float> > >& layers = net_->layers();
-  const vector<string>& layer_names = net_->layer_names();
-
-  // Step 1: count the number of layers with weights
-  int num_layers = 0;
-  {
-    string prev_layer_name = "";
-    for (unsigned int i = 0; i < layers.size(); ++i) {
-      vector<shared_ptr<Blob<float> > >& layer_blobs = layers[i]->blobs();
-      if (layer_blobs.size() == 0) {
-        continue;
-      }
-      if (layer_names[i] != prev_layer_name) {
-        prev_layer_name = layer_names[i];
-        num_layers++;
-      }
-    }
-  }
-
-  // Step 2: prepare output array of structures
-  mxArray* mx_layers;
-  {
-    const mwSize dims[2] = {num_layers, 1};
-    const char* fnames[2] = {"weights", "layer_names"};
-    mx_layers = mxCreateStructArray(2, dims, 2, fnames);
-  }
-
-  // Step 3: copy weights into output
-  {
-    string prev_layer_name = "";
-    int mx_layer_index = 0;
-    for (unsigned int i = 0; i < layers.size(); ++i) {
-      vector<shared_ptr<Blob<float> > >& layer_blobs = layers[i]->blobs();
-      if (layer_blobs.size() == 0) {
-        continue;
-      }
-
-      mxArray* mx_layer_cells = NULL;
-      if (layer_names[i] != prev_layer_name) {
-        prev_layer_name = layer_names[i];
-        const mwSize dims[2] = {static_cast<mwSize>(layer_blobs.size()), 1};
-        mx_layer_cells = mxCreateCellArray(2, dims);
-        mxSetField(mx_layers, mx_layer_index, "weights", mx_layer_cells);
-        mxSetField(mx_layers, mx_layer_index, "layer_names",
-            mxCreateString(layer_names[i].c_str()));
-        mx_layer_index++;
-      }
-
-      for (unsigned int j = 0; j < layer_blobs.size(); ++j) {
-        // internally data is stored as (width, height, channels, num)
-        // where width is the fastest dimension
-        mwSize dims[4] = {layer_blobs[j]->width(), layer_blobs[j]->height(),
-            layer_blobs[j]->channels(), layer_blobs[j]->num()};
-
-        mxArray* mx_weights =
-          mxCreateNumericArray(4, dims, mxSINGLE_CLASS, mxREAL);
-        mxSetCell(mx_layer_cells, j, mx_weights);
-        float* weights_ptr = reinterpret_cast<float*>(mxGetPr(mx_weights));
-
-        switch (Caffe::mode()) {
-        case Caffe::CPU:
-          caffe_copy(layer_blobs[j]->count(), layer_blobs[j]->cpu_data(),
-              weights_ptr);
-          break;
-        case Caffe::GPU:
-          caffe_copy(layer_blobs[j]->count(), layer_blobs[j]->gpu_data(),
-              weights_ptr);
-          break;
-        default:
-          mex_error("Unknown Caffe mode");
-        }
-      }
-    }
-  }
-
-  return mx_layers;
-}
-
-static void get_weights(MEX_ARGS) {
-  plhs[0] = do_get_weights();
-}
-
-static void set_mode_cpu(MEX_ARGS) {
-  Caffe::set_mode(Caffe::CPU);
-}
-
-static void set_mode_gpu(MEX_ARGS) {
-  Caffe::set_mode(Caffe::GPU);
-}
-
-static void set_device(MEX_ARGS) {
-  if (nrhs != 1) {
-    ostringstream error_msg;
-    error_msg << "Expected 1 argument, got " << nrhs;
-    mex_error(error_msg.str());
-  }
-
-  int device_id = static_cast<int>(mxGetScalar(prhs[0]));
-  Caffe::SetDevice(device_id);
-}
-
-static void get_init_key(MEX_ARGS) {
-  plhs[0] = mxCreateDoubleScalar(init_key);
-}
-
-static void init(MEX_ARGS) {
-  if (nrhs != 3) {
-    ostringstream error_msg;
-    error_msg << "Expected 3 arguments, got " << nrhs;
-    mex_error(error_msg.str());
-  }
-
-  char* param_file = mxArrayToString(prhs[0]);
-  char* model_file = mxArrayToString(prhs[1]);
-  char* phase_name = mxArrayToString(prhs[2]);
-
-  Phase phase;
-  if (strcmp(phase_name, "train") == 0) {
-      phase = TRAIN;
-  } else if (strcmp(phase_name, "test") == 0) {
-      phase = TEST;
-  } else {
-    mex_error("Unknown phase.");
-  }
-
-  net_.reset(new Net<float>(string(param_file), phase));
-  net_->CopyTrainedLayersFrom(string(model_file));
-
-  mxFree(param_file);
-  mxFree(model_file);
-  mxFree(phase_name);
-
-  init_key = random();  // NOLINT(caffe/random_fn)
-
-  if (nlhs == 1) {
-    plhs[0] = mxCreateDoubleScalar(init_key);
-  }
-}
-
-static void reset(MEX_ARGS) {
-  if (net_) {
-    net_.reset();
-    init_key = -2;
-    LOG(INFO) << "Network reset, call init before use it again";
-  }
-}
-
-static void forward(MEX_ARGS) {
-  if (nrhs != 1) {
-    ostringstream error_msg;
-    error_msg << "Expected 1 argument, got " << nrhs;
-    mex_error(error_msg.str());
-  }
-
-  plhs[0] = do_forward(prhs[0]);
-}
-
-static void backward(MEX_ARGS) {
-  if (nrhs != 1) {
-    ostringstream error_msg;
-    error_msg << "Expected 1 argument, got " << nrhs;
-    mex_error(error_msg.str());
-  }
-
-  plhs[0] = do_backward(prhs[0]);
-}
-
-static void is_initialized(MEX_ARGS) {
-  if (!net_) {
-    plhs[0] = mxCreateDoubleScalar(0);
-  } else {
-    plhs[0] = mxCreateDoubleScalar(1);
-  }
-}
-
-static void read_mean(MEX_ARGS) {
-    if (nrhs != 1) {
-        mexErrMsgTxt("Usage: caffe('read_mean', 'path_to_binary_mean_file'");
-        return;
-    }
-    const string& mean_file = mxArrayToString(prhs[0]);
-    Blob<float> data_mean;
-    LOG(INFO) << "Loading mean file from: " << mean_file;
-    BlobProto blob_proto;
-    bool result = ReadProtoFromBinaryFile(mean_file.c_str(), &blob_proto);
-    if (!result) {
-        mexErrMsgTxt("Couldn't read the file");
-        return;
-    }
-    data_mean.FromProto(blob_proto);
-    mwSize dims[4] = {data_mean.width(), data_mean.height(),
-                      data_mean.channels(), data_mean.num() };
-    mxArray* mx_blob =  mxCreateNumericArray(4, dims, mxSINGLE_CLASS, mxREAL);
-    float* data_ptr = reinterpret_cast<float*>(mxGetPr(mx_blob));
-    caffe_copy(data_mean.count(), data_mean.cpu_data(), data_ptr);
-    mexWarnMsgTxt("Remember that Caffe saves in [width, height, channels]"
-                  " format and channels are also BGR!");
-    plhs[0] = mx_blob;
-}
-
-/** -----------------------------------------------------------------
- ** Available commands.
- **/
-struct handler_registry {
-  string cmd;
-  void (*func)(MEX_ARGS);
-};
-
-static handler_registry handlers[] = {
-  // Public API functions
-  { "forward",            forward         },
-  { "backward",           backward        },
-  { "init",               init            },
-  { "is_initialized",     is_initialized  },
-  { "set_mode_cpu",       set_mode_cpu    },
-  { "set_mode_gpu",       set_mode_gpu    },
-  { "set_device",         set_device      },
-  { "get_weights",        get_weights     },
-  { "get_init_key",       get_init_key    },
-  { "reset",              reset           },
-  { "read_mean",          read_mean       },
-  // The end.
-  { "END",                NULL            },
-};
-
-
-/** -----------------------------------------------------------------
- ** matlab entry point: caffe(api_command, arg1, arg2, ...)
- **/
-void mexFunction(MEX_ARGS) {
-  mexLock();  // Avoid clearing the mex file.
-  if (nrhs == 0) {
-    mex_error("No API command given");
-    return;
-  }
-
-  { // Handle input command
-    char *cmd = mxArrayToString(prhs[0]);
-    bool dispatched = false;
-    // Dispatch to cmd handler
-    for (int i = 0; handlers[i].func != NULL; i++) {
-      if (handlers[i].cmd.compare(cmd) == 0) {
-        handlers[i].func(nlhs, plhs, nrhs-1, prhs+1);
-        dispatched = true;
-        break;
-      }
-    }
-    if (!dispatched) {
-      ostringstream error_msg;
-      error_msg << "Unknown command '" << cmd << "'";
-      mex_error(error_msg.str());
-    }
-    mxFree(cmd);
-  }
-}
diff --git a/matlab/caffe/matcaffe_batch.m b/matlab/caffe/matcaffe_batch.m
deleted file mode 100644 (file)
index f6d1aa8..0000000
+++ /dev/null
@@ -1,75 +0,0 @@
-function [scores,list_im] = matcaffe_batch(list_im, use_gpu)
-% scores = matcaffe_batch(list_im, use_gpu)
-%
-% Demo of the matlab wrapper using the ILSVRC network.
-%
-% input
-%   list_im  list of images files
-%   use_gpu  1 to use the GPU, 0 to use the CPU
-%
-% output
-%   scores   1000 x num_images ILSVRC output vector
-%
-% You may need to do the following before you start matlab:
-%  $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64
-%  $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
-% Or the equivalent based on where things are installed on your system
-%
-% Usage:
-%  scores = matcaffe_batch({'peppers.png','onion.png'});
-%  scores = matcaffe_batch('list_images.txt', 1);
-if nargin < 1
-  % For test purposes
-  list_im = {'peppers.png','onions.png'};
-end
-if ischar(list_im)
-    %Assume it is a file contaning the list of images
-    filename = list_im;
-    list_im = read_cell(filename);
-end
-% Adjust the batch size and dim to match with models/bvlc_reference_caffenet/deploy.prototxt
-batch_size = 10;
-dim = 1000;
-disp(list_im)
-if mod(length(list_im),batch_size)
-    warning(['Assuming batches of ' num2str(batch_size) ' images rest will be filled with zeros'])
-end
-
-% init caffe network (spews logging info)
-if exist('use_gpu', 'var')
-  matcaffe_init(use_gpu);
-else
-  matcaffe_init();
-end
-
-d = load('ilsvrc_2012_mean');
-IMAGE_MEAN = d.image_mean;
-
-% prepare input
-
-num_images = length(list_im);
-scores = zeros(dim,num_images,'single');
-num_batches = ceil(length(list_im)/batch_size)
-initic=tic;
-for bb = 1 : num_batches
-    batchtic = tic;
-    range = 1+batch_size*(bb-1):min(num_images,batch_size * bb);
-    tic
-    input_data = prepare_batch(list_im(range),IMAGE_MEAN,batch_size);
-    toc, tic
-    fprintf('Batch %d out of %d %.2f%% Complete ETA %.2f seconds\n',...
-        bb,num_batches,bb/num_batches*100,toc(initic)/bb*(num_batches-bb));
-    output_data = caffe('forward', {input_data});
-    toc
-    output_data = squeeze(output_data{1});
-    scores(:,range) = output_data(:,mod(range-1,batch_size)+1);
-    toc(batchtic)
-end
-toc(initic);
-
-if exist('filename', 'var')
-    save([filename '.probs.mat'],'list_im','scores','-v7.3');
-end
-
-
-
diff --git a/matlab/caffe/matcaffe_demo.m b/matlab/caffe/matcaffe_demo.m
deleted file mode 100644 (file)
index a931f91..0000000
+++ /dev/null
@@ -1,110 +0,0 @@
-function [scores, maxlabel] = matcaffe_demo(im, use_gpu)
-% scores = matcaffe_demo(im, use_gpu)
-%
-% Demo of the matlab wrapper using the ILSVRC network.
-%
-% input
-%   im       color image as uint8 HxWx3
-%   use_gpu  1 to use the GPU, 0 to use the CPU
-%
-% output
-%   scores   1000-dimensional ILSVRC score vector
-%
-% You may need to do the following before you start matlab:
-%  $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda-5.5/lib64
-%  $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
-% Or the equivalent based on where things are installed on your system
-%
-% Usage:
-%  im = imread('../../examples/images/cat.jpg');
-%  scores = matcaffe_demo(im, 1);
-%  [score, class] = max(scores);
-% Five things to be aware of:
-%   caffe uses row-major order
-%   matlab uses column-major order
-%   caffe uses BGR color channel order
-%   matlab uses RGB color channel order
-%   images need to have the data mean subtracted
-
-% Data coming in from matlab needs to be in the order 
-%   [width, height, channels, images]
-% where width is the fastest dimension.
-% Here is the rough matlab for putting image data into the correct
-% format:
-%   % convert from uint8 to single
-%   im = single(im);
-%   % reshape to a fixed size (e.g., 227x227)
-%   im = imresize(im, [IMAGE_DIM IMAGE_DIM], 'bilinear');
-%   % permute from RGB to BGR and subtract the data mean (already in BGR)
-%   im = im(:,:,[3 2 1]) - data_mean;
-%   % flip width and height to make width the fastest dimension
-%   im = permute(im, [2 1 3]);
-
-% If you have multiple images, cat them with cat(4, ...)
-
-% The actual forward function. It takes in a cell array of 4-D arrays as
-% input and outputs a cell array. 
-
-
-% init caffe network (spews logging info)
-if exist('use_gpu', 'var')
-  matcaffe_init(use_gpu);
-else
-  matcaffe_init();
-end
-
-if nargin < 1
-  % For demo purposes we will use the peppers image
-  im = imread('peppers.png');
-end
-
-% prepare oversampled input
-% input_data is Height x Width x Channel x Num
-tic;
-input_data = {prepare_image(im)};
-toc;
-
-% do forward pass to get scores
-% scores are now Width x Height x Channels x Num
-tic;
-scores = caffe('forward', input_data);
-toc;
-
-scores = scores{1};
-size(scores)
-scores = squeeze(scores);
-scores = mean(scores,2);
-
-[~,maxlabel] = max(scores);
-
-% ------------------------------------------------------------------------
-function images = prepare_image(im)
-% ------------------------------------------------------------------------
-d = load('ilsvrc_2012_mean');
-IMAGE_MEAN = d.image_mean;
-IMAGE_DIM = 256;
-CROPPED_DIM = 227;
-
-% resize to fixed input size
-im = single(im);
-im = imresize(im, [IMAGE_DIM IMAGE_DIM], 'bilinear');
-% permute from RGB to BGR (IMAGE_MEAN is already BGR)
-im = im(:,:,[3 2 1]) - IMAGE_MEAN;
-
-% oversample (4 corners, center, and their x-axis flips)
-images = zeros(CROPPED_DIM, CROPPED_DIM, 3, 10, 'single');
-indices = [0 IMAGE_DIM-CROPPED_DIM] + 1;
-curr = 1;
-for i = indices
-  for j = indices
-    images(:, :, :, curr) = ...
-        permute(im(i:i+CROPPED_DIM-1, j:j+CROPPED_DIM-1, :), [2 1 3]);
-    images(:, :, :, curr+5) = images(end:-1:1, :, :, curr);
-    curr = curr + 1;
-  end
-end
-center = floor(indices(2) / 2)+1;
-images(:,:,:,5) = ...
-    permute(im(center:center+CROPPED_DIM-1,center:center+CROPPED_DIM-1,:), ...
-        [2 1 3]);
-images(:,:,:,10) = images(end:-1:1, :, :, curr);
diff --git a/matlab/caffe/matcaffe_demo_vgg.m b/matlab/caffe/matcaffe_demo_vgg.m
deleted file mode 100644 (file)
index 4e5a98e..0000000
+++ /dev/null
@@ -1,96 +0,0 @@
-function scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
-% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
-%
-% Demo of the matlab wrapper using the networks described in the BMVC-2014 paper "Return of the Devil in the Details: Delving Deep into Convolutional Nets"
-%
-% INPUT
-%   im - color image as uint8 HxWx3
-%   use_gpu - 1 to use the GPU, 0 to use the CPU
-%   model_def_file - network configuration (.prototxt file)
-%   model_file - network weights (.caffemodel file)
-%   mean_file - mean BGR image as uint8 HxWx3 (.mat file)
-%
-% OUTPUT
-%   scores   1000-dimensional ILSVRC score vector
-%
-% EXAMPLE USAGE
-%  model_def_file = 'zoo/VGG_CNN_F_deploy.prototxt';
-%  model_file = 'zoo/VGG_CNN_F.caffemodel';
-%  mean_file = 'zoo/VGG_mean.mat';
-%  use_gpu = true;
-%  im = imread('../../examples/images/cat.jpg');
-%  scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file);
-% 
-% NOTES
-%  the image crops are prepared as described in the paper (the aspect ratio is preserved)
-%
-% PREREQUISITES
-%  You may need to do the following before you start matlab:
-%   $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64
-%   $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
-%  Or the equivalent based on where things are installed on your system
-
-% init caffe network (spews logging info)
-matcaffe_init(use_gpu, model_def_file, model_file);
-
-% prepare oversampled input
-% input_data is Height x Width x Channel x Num
-tic;
-input_data = {prepare_image(im, mean_file)};
-toc;
-
-% do forward pass to get scores
-% scores are now Width x Height x Channels x Num
-tic;
-scores = caffe('forward', input_data);
-toc;
-
-scores = scores{1};
-% size(scores)
-scores = squeeze(scores);
-% scores = mean(scores,2);
-
-% [~,maxlabel] = max(scores);
-
-% ------------------------------------------------------------------------
-function images = prepare_image(im, mean_file)
-% ------------------------------------------------------------------------
-IMAGE_DIM = 256;
-CROPPED_DIM = 224;
-
-d = load(mean_file);
-IMAGE_MEAN = d.image_mean;
-
-% resize to fixed input size
-im = single(im);
-
-if size(im, 1) < size(im, 2)
-    im = imresize(im, [IMAGE_DIM NaN]);
-else
-    im = imresize(im, [NaN IMAGE_DIM]);
-end
-
-% RGB -> BGR
-im = im(:, :, [3 2 1]);
-
-% oversample (4 corners, center, and their x-axis flips)
-images = zeros(CROPPED_DIM, CROPPED_DIM, 3, 10, 'single');
-
-indices_y = [0 size(im,1)-CROPPED_DIM] + 1;
-indices_x = [0 size(im,2)-CROPPED_DIM] + 1;
-center_y = floor(indices_y(2) / 2)+1;
-center_x = floor(indices_x(2) / 2)+1;
-
-curr = 1;
-for i = indices_y
-  for j = indices_x
-    images(:, :, :, curr) = ...
-        permute(im(i:i+CROPPED_DIM-1, j:j+CROPPED_DIM-1, :)-IMAGE_MEAN, [2 1 3]);
-    images(:, :, :, curr+5) = images(end:-1:1, :, :, curr);
-    curr = curr + 1;
-  end
-end
-images(:,:,:,5) = ...
-    permute(im(center_y:center_y+CROPPED_DIM-1,center_x:center_x+CROPPED_DIM-1,:)-IMAGE_MEAN, ...
-        [2 1 3]);
-images(:,:,:,10) = images(end:-1:1, :, :, curr);
diff --git a/matlab/caffe/matcaffe_demo_vgg_mean_pix.m b/matlab/caffe/matcaffe_demo_vgg_mean_pix.m
deleted file mode 100644 (file)
index 5f7898a..0000000
+++ /dev/null
@@ -1,102 +0,0 @@
-function scores = matcaffe_demo_vgg_mean_pix(im, use_gpu, model_def_file, model_file)
-% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file)
-%
-% Demo of the matlab wrapper based on the networks used for the "VGG" entry
-% in the ILSVRC-2014 competition and described in the tech. report 
-% "Very Deep Convolutional Networks for Large-Scale Image Recognition"
-% http://arxiv.org/abs/1409.1556/
-%
-% INPUT
-%   im - color image as uint8 HxWx3
-%   use_gpu - 1 to use the GPU, 0 to use the CPU
-%   model_def_file - network configuration (.prototxt file)
-%   model_file - network weights (.caffemodel file)
-%
-% OUTPUT
-%   scores   1000-dimensional ILSVRC score vector
-%
-% EXAMPLE USAGE
-%  model_def_file = 'zoo/deploy.prototxt';
-%  model_file = 'zoo/model.caffemodel';
-%  use_gpu = true;
-%  im = imread('../../examples/images/cat.jpg');
-%  scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file);
-% 
-% NOTES
-%  mean pixel subtraction is used instead of the mean image subtraction
-%
-% PREREQUISITES
-%  You may need to do the following before you start matlab:
-%   $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64
-%   $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
-%  Or the equivalent based on where things are installed on your system
-
-% init caffe network (spews logging info)
-matcaffe_init(use_gpu, model_def_file, model_file);
-
-% mean BGR pixel
-mean_pix = [103.939, 116.779, 123.68];
-
-% prepare oversampled input
-% input_data is Height x Width x Channel x Num
-tic;
-input_data = {prepare_image(im, mean_pix)};
-toc;
-
-% do forward pass to get scores
-% scores are now Width x Height x Channels x Num
-tic;
-scores = caffe('forward', input_data);
-toc;
-
-scores = scores{1};
-% size(scores)
-scores = squeeze(scores);
-% scores = mean(scores,2);
-
-% [~,maxlabel] = max(scores);
-
-% ------------------------------------------------------------------------
-function images = prepare_image(im, mean_pix)
-% ------------------------------------------------------------------------
-IMAGE_DIM = 256;
-CROPPED_DIM = 224;
-
-% resize to fixed input size
-im = single(im);
-
-if size(im, 1) < size(im, 2)
-    im = imresize(im, [IMAGE_DIM NaN]);
-else
-    im = imresize(im, [NaN IMAGE_DIM]);
-end
-
-% RGB -> BGR
-im = im(:, :, [3 2 1]);
-
-% oversample (4 corners, center, and their x-axis flips)
-images = zeros(CROPPED_DIM, CROPPED_DIM, 3, 10, 'single');
-
-indices_y = [0 size(im,1)-CROPPED_DIM] + 1;
-indices_x = [0 size(im,2)-CROPPED_DIM] + 1;
-center_y = floor(indices_y(2) / 2)+1;
-center_x = floor(indices_x(2) / 2)+1;
-
-curr = 1;
-for i = indices_y
-  for j = indices_x
-    images(:, :, :, curr) = ...
-        permute(im(i:i+CROPPED_DIM-1, j:j+CROPPED_DIM-1, :), [2 1 3]);
-    images(:, :, :, curr+5) = images(end:-1:1, :, :, curr);
-    curr = curr + 1;
-  end
-end
-images(:,:,:,5) = ...
-    permute(im(center_y:center_y+CROPPED_DIM-1,center_x:center_x+CROPPED_DIM-1,:), ...
-        [2 1 3]);
-images(:,:,:,10) = images(end:-1:1, :, :, curr);
-
-% mean BGR pixel subtraction
-for c = 1:3
-    images(:, :, c, :) = images(:, :, c, :) - mean_pix(c);
-end
diff --git a/matlab/caffe/matcaffe_init.m b/matlab/caffe/matcaffe_init.m
deleted file mode 100644 (file)
index 5d0a0a7..0000000
+++ /dev/null
@@ -1,41 +0,0 @@
-function  matcaffe_init(use_gpu, model_def_file, model_file)
-% matcaffe_init(model_def_file, model_file, use_gpu)
-% Initilize matcaffe wrapper
-
-if nargin < 1
-  % By default use CPU
-  use_gpu = 0;
-end
-if nargin < 2 || isempty(model_def_file)
-  % By default use imagenet_deploy
-  model_def_file = '../../models/bvlc_reference_caffenet/deploy.prototxt';
-end
-if nargin < 3 || isempty(model_file)
-  % By default use caffe reference model
-  model_file = '../../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel';
-end
-
-
-if caffe('is_initialized') == 0
-  if exist(model_file, 'file') == 0
-    % NOTE: you'll have to get the pre-trained ILSVRC network
-    error('You need a network model file');
-  end
-  if ~exist(model_def_file,'file')
-    % NOTE: you'll have to get network definition
-    error('You need the network prototxt definition');
-  end
-  % load network in TEST phase
-  caffe('init', model_def_file, model_file, 'test')
-end
-fprintf('Done with init\n');
-
-% set to use GPU or CPU
-if use_gpu
-  fprintf('Using GPU Mode\n');
-  caffe('set_mode_gpu');
-else
-  fprintf('Using CPU Mode\n');
-  caffe('set_mode_cpu');
-end
-fprintf('Done with set_mode\n');
diff --git a/matlab/caffe/prepare_batch.m b/matlab/caffe/prepare_batch.m
deleted file mode 100644 (file)
index 345c8eb..0000000
+++ /dev/null
@@ -1,41 +0,0 @@
-% ------------------------------------------------------------------------
-function images = prepare_batch(image_files,IMAGE_MEAN,batch_size)
-% ------------------------------------------------------------------------
-if nargin < 2
-    d = load('ilsvrc_2012_mean');
-    IMAGE_MEAN = d.image_mean; 
-end
-num_images = length(image_files);
-if nargin < 3
-    batch_size = num_images;
-end
-
-IMAGE_DIM = 256;
-CROPPED_DIM = 227;
-indices = [0 IMAGE_DIM-CROPPED_DIM] + 1;
-center = floor(indices(2) / 2)+1;
-
-num_images = length(image_files);
-images = zeros(CROPPED_DIM,CROPPED_DIM,3,batch_size,'single');
-
-parfor i=1:num_images
-    % read file
-    fprintf('%c Preparing %s\n',13,image_files{i});
-    try
-        im = imread(image_files{i});
-        % resize to fixed input size
-        im = single(im);
-        im = imresize(im, [IMAGE_DIM IMAGE_DIM], 'bilinear');
-        % Transform GRAY to RGB
-        if size(im,3) == 1
-            im = cat(3,im,im,im);
-        end
-        % permute from RGB to BGR (IMAGE_MEAN is already BGR)
-        im = im(:,:,[3 2 1]) - IMAGE_MEAN;
-        % Crop the center of the image
-        images(:,:,:,i) = permute(im(center:center+CROPPED_DIM-1,...
-            center:center+CROPPED_DIM-1,:),[2 1 3]);
-    catch
-        warning('Problems with file',image_files{i});
-    end
-end
\ No newline at end of file
diff --git a/matlab/caffe/print_cell.m b/matlab/caffe/print_cell.m
deleted file mode 100644 (file)
index 864340d..0000000
+++ /dev/null
@@ -1,42 +0,0 @@
-function res=print_cell(input,file,linesep,cellsep)
-assert(iscell(input),'The input should be a cell')
-if nargin < 4
-    cellsep = '\t';
-end
-if nargin < 3
-    linesep = '\n';
-end
-if exist('file','var') && ~isempty(file)
-    %%
-    fid = fopen(file,'w');
-    for l=1:length(input)
-        if iscell(input{l})
-            for i=1:length(input{l})
-                fprintf(fid,['%s' cellsep],input{l}{i});
-            end
-            fprintf(fid,linesep);
-        else
-            if size(input,2) > 1
-                for i=1:size(input,2)
-                    fprintf(fid,'%s ',input{l,i});
-                end
-                fprintf(fid,linesep);
-            else
-                fprintf(fid,['%s' linesep],input{l});
-            end
-        end
-    end
-    fclose(fid);
-else
-    res = '';
-    for l=1:length(input)
-        if iscell(input{l})
-            for i=1:length(input{l})
-                res = [res sprintf([cellsep{1} '%s' cellsep{2}],input{l}{i})];
-            end
-            res = [res sprintf(linesep)];
-        else
-            res = [res sprintf(['%s' linesep],input{l}(:))];
-        end
-    end
-end
\ No newline at end of file
diff --git a/matlab/caffe/read_cell.m b/matlab/caffe/read_cell.m
deleted file mode 100644 (file)
index 1983116..0000000
+++ /dev/null
@@ -1,21 +0,0 @@
-function res=read_cell(filename,linesep,cellsep)
-if nargin < 2, linesep='\n'; end
-if nargin < 3, cellsep = '\t'; end
-if exist(filename,'file')
-    fid = fopen(filename);
-else
-    % Assume that filename is either a file ide or a string
-    fid = filename;
-end
-
-fileLines = textscan(fid,'%s','delimiter',linesep,'BufSize',100000);
-
-fileLines = fileLines{1};
-
-if regexp(fileLines{1},cellsep,'once')
-    fileLines = regexprep(fileLines,['^' cellsep '|' cellsep '$'],'');
-    res = regexp(fileLines,cellsep,'split');
-    res = cell2matcell(res);
-else
-    res = fileLines;
-end
diff --git a/matlab/demo/classification_demo.m b/matlab/demo/classification_demo.m
new file mode 100644 (file)
index 0000000..2b60332
--- /dev/null
@@ -0,0 +1,147 @@
+function [scores, maxlabel] = classification_demo(im, use_gpu)
+% [scores, maxlabel] = classification_demo(im, use_gpu)
+%
+% Image classification demo using BVLC CaffeNet.
+%
+% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
+% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
+%
+% ****************************************************************************
+% For detailed documentation and usage on Caffe's Matlab interface, please
+% refer to Caffe Interface Tutorial at
+% http://caffe.berkeleyvision.org/tutorial/interfaces.html#matlab
+% ****************************************************************************
+%
+% input
+%   im       color image as uint8 HxWx3
+%   use_gpu  1 to use the GPU, 0 to use the CPU
+%
+% output
+%   scores   1000-dimensional ILSVRC score vector
+%   maxlabel the label of the highest score
+%
+% You may need to do the following before you start matlab:
+%  $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda-5.5/lib64
+%  $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
+% Or the equivalent based on where things are installed on your system
+%
+% Usage:
+%  im = imread('../../examples/images/cat.jpg');
+%  scores = classification_demo(im, 1);
+%  [score, class] = max(scores);
+% Five things to be aware of:
+%   caffe uses row-major order
+%   matlab uses column-major order
+%   caffe uses BGR color channel order
+%   matlab uses RGB color channel order
+%   images need to have the data mean subtracted
+
+% Data coming in from matlab needs to be in the order
+%   [width, height, channels, images]
+% where width is the fastest dimension.
+% Here is the rough matlab for putting image data into the correct
+% format in W x H x C with BGR channels:
+%   % permute channels from RGB to BGR
+%   im_data = im(:, :, [3, 2, 1]);
+%   % flip width and height to make width the fastest dimension
+%   im_data = permute(im_data, [2, 1, 3]);
+%   % convert from uint8 to single
+%   im_data = single(im_data);
+%   % reshape to a fixed size (e.g., 227x227).
+%   im_data = imresize(im_data, [IMAGE_DIM IMAGE_DIM], 'bilinear');
+%   % subtract mean_data (already in W x H x C with BGR channels)
+%   im_data = im_data - mean_data;
+
+% If you have multiple images, cat them with cat(4, ...)
+
+% Add caffe/matlab to you Matlab search PATH to use matcaffe
+if exist('../+caffe', 'dir')
+  addpath('..');
+else
+  error('Please run this demo from caffe/matlab/demo');
+end
+
+% Set caffe mode
+if exist('use_gpu', 'var') && use_gpu
+  caffe.set_mode_gpu();
+  gpu_id = 0;  % we will use the first gpu in this demo
+  caffe.set_device(gpu_id);
+else
+  caffe.set_mode_cpu();
+end
+
+% Initialize the network using BVLC CaffeNet for image classification
+% Weights (parameter) file needs to be downloaded from Model Zoo.
+model_dir = '../../models/bvlc_reference_caffenet/';
+net_model = [model_dir 'deploy.prototxt'];
+net_weights = [model_dir 'bvlc_reference_caffenet.caffemodel'];
+phase = 'test'; % run with phase test (so that dropout isn't applied)
+if ~exist(net_weights, 'file')
+  error('Please download CaffeNet from Model Zoo before you run this demo');
+end
+
+% Initialize a network
+net = caffe.Net(net_model, net_weights, phase);
+
+if nargin < 1
+  % For demo purposes we will use the cat image
+  fprintf('using caffe/examples/images/cat.jpg as input image\n');
+  im = imread('../../examples/images/cat.jpg');
+end
+
+% prepare oversampled input
+% input_data is Height x Width x Channel x Num
+tic;
+input_data = {prepare_image(im)};
+toc;
+
+% do forward pass to get scores
+% scores are now Channels x Num, where Channels == 1000
+tic;
+% The net forward function. It takes in a cell array of N-D arrays
+% (where N == 4 here) containing data of input blob(s) and outputs a cell
+% array containing data from output blob(s)
+scores = net.forward(input_data);
+toc;
+
+scores = scores{1};
+scores = mean(scores, 2);  % take average scores over 10 crops
+
+[~, maxlabel] = max(scores);
+
+% call caffe.reset_all() to reset caffe
+caffe.reset_all();
+
+% ------------------------------------------------------------------------
+function crops_data = prepare_image(im)
+% ------------------------------------------------------------------------
+% caffe/matlab/+caffe/imagenet/ilsvrc_2012_mean.mat contains mean_data that
+% is already in W x H x C with BGR channels
+d = load('../+caffe/imagenet/ilsvrc_2012_mean.mat');
+mean_data = d.mean_data;
+IMAGE_DIM = 256;
+CROPPED_DIM = 227;
+
+% Convert an image returned by Matlab's imread to im_data in caffe's data
+% format: W x H x C with BGR channels
+im_data = im(:, :, [3, 2, 1]);  % permute channels from RGB to BGR
+im_data = permute(im_data, [2, 1, 3]);  % flip width and height
+im_data = single(im_data);  % convert from uint8 to single
+im_data = imresize(im_data, [IMAGE_DIM IMAGE_DIM], 'bilinear');  % resize im_data
+im_data = im_data - mean_data;  % subtract mean_data (already in W x H x C, BGR)
+
+% oversample (4 corners, center, and their x-axis flips)
+crops_data = zeros(CROPPED_DIM, CROPPED_DIM, 3, 10, 'single');
+indices = [0 IMAGE_DIM-CROPPED_DIM] + 1;
+n = 1;
+for i = indices
+  for j = indices
+    crops_data(:, :, :, n) = im_data(i:i+CROPPED_DIM-1, j:j+CROPPED_DIM-1, :);
+    crops_data(:, :, :, n+5) = crops_data(end:-1:1, :, :, n);
+    n = n + 1;
+  end
+end
+center = floor(indices(2) / 2) + 1;
+crops_data(:,:,:,5) = ...
+  im_data(center:center+CROPPED_DIM-1,center:center+CROPPED_DIM-1,:);
+crops_data(:,:,:,10) = crops_data(end:-1:1, :, :, 5);
index 7bc164a..e0c86c7 100644 (file)
@@ -3,7 +3,7 @@ numpy>=1.7.1
 scipy>=0.13.2
 scikit-image>=0.9.3
 matplotlib>=1.3.1
-ipython>=1.1.0
+ipython>=3.0.0
 h5py>=2.2.0
 leveldb>=0.191
 networkx>=1.8.1
index 0e8c378..b6e6f6c 100755 (executable)
@@ -47,12 +47,12 @@ if $WITH_CUDA; then
 fi
 
 # Install LMDB
-LMDB_URL=ftp://ftp.openldap.org/pub/OpenLDAP/openldap-release/openldap-2.4.39.tgz
-LMDB_FILE=/tmp/openldap.tgz
+LMDB_URL=https://github.com/LMDB/lmdb/archive/LMDB_0.9.14.tar.gz
+LMDB_FILE=/tmp/lmdb.tar.gz
 pushd .
-curl $LMDB_URL -o $LMDB_FILE
+wget $LMDB_URL -O $LMDB_FILE
 tar -C /tmp -xzvf $LMDB_FILE
-cd /tmp/openldap*/libraries/liblmdb/
+cd /tmp/lmdb*/libraries/liblmdb/
 $MAKE
 $MAKE install
 popd
index b0b98e4..6f75bdb 100644 (file)
@@ -125,10 +125,31 @@ void DataTransformer<Dtype>::Transform(const Datum& datum,
 template<typename Dtype>
 void DataTransformer<Dtype>::Transform(const Datum& datum,
                                        Blob<Dtype>* transformed_blob) {
+  // If datum is encoded, decoded and transform the cv::image.
+  if (datum.encoded()) {
+    CHECK(!param_.force_color() && !param_.force_gray())
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+    // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Transform the cv::image into blob.
+    return Transform(cv_img, transformed_blob);
+  } else {
+    if (param_.force_color() || param_.force_gray()) {
+      LOG(ERROR) << "force_color and force_gray only for encoded datum";
+    }
+  }
+
+  const int crop_size = param_.crop_size();
   const int datum_channels = datum.channels();
   const int datum_height = datum.height();
   const int datum_width = datum.width();
 
+  // Check dimensions.
   const int channels = transformed_blob->channels();
   const int height = transformed_blob->height();
   const int width = transformed_blob->width();
@@ -139,8 +160,6 @@ void DataTransformer<Dtype>::Transform(const Datum& datum,
   CHECK_LE(width, datum_width);
   CHECK_GE(num, 1);
 
-  const int crop_size = param_.crop_size();
-
   if (crop_size) {
     CHECK_EQ(crop_size, height);
     CHECK_EQ(crop_size, width);
@@ -196,10 +215,12 @@ void DataTransformer<Dtype>::Transform(const vector<cv::Mat> & mat_vector,
 template<typename Dtype>
 void DataTransformer<Dtype>::Transform(const cv::Mat& cv_img,
                                        Blob<Dtype>* transformed_blob) {
+  const int crop_size = param_.crop_size();
   const int img_channels = cv_img.channels();
   const int img_height = cv_img.rows;
   const int img_width = cv_img.cols;
 
+  // Check dimensions.
   const int channels = transformed_blob->channels();
   const int height = transformed_blob->height();
   const int width = transformed_blob->width();
@@ -212,7 +233,6 @@ void DataTransformer<Dtype>::Transform(const cv::Mat& cv_img,
 
   CHECK(cv_img.depth() == CV_8U) << "Image data type must be unsigned byte";
 
-  const int crop_size = param_.crop_size();
   const Dtype scale = param_.scale();
   const bool do_mirror = param_.mirror() && Rand(2);
   const bool has_mean_file = param_.has_mean_file();
@@ -297,11 +317,23 @@ void DataTransformer<Dtype>::Transform(const cv::Mat& cv_img,
 template<typename Dtype>
 void DataTransformer<Dtype>::Transform(Blob<Dtype>* input_blob,
                                        Blob<Dtype>* transformed_blob) {
+  const int crop_size = param_.crop_size();
   const int input_num = input_blob->num();
   const int input_channels = input_blob->channels();
   const int input_height = input_blob->height();
   const int input_width = input_blob->width();
 
+  if (transformed_blob->count() == 0) {
+    // Initialize transformed_blob with the right shape.
+    if (crop_size) {
+      transformed_blob->Reshape(input_num, input_channels,
+                                crop_size, crop_size);
+    } else {
+      transformed_blob->Reshape(input_num, input_channels,
+                                input_height, input_width);
+    }
+  }
+
   const int num = transformed_blob->num();
   const int channels = transformed_blob->channels();
   const int height = transformed_blob->height();
@@ -313,7 +345,7 @@ void DataTransformer<Dtype>::Transform(Blob<Dtype>* input_blob,
   CHECK_GE(input_height, height);
   CHECK_GE(input_width, width);
 
-  const int crop_size = param_.crop_size();
+
   const Dtype scale = param_.scale();
   const bool do_mirror = param_.mirror() && Rand(2);
   const bool has_mean_file = param_.has_mean_file();
@@ -395,6 +427,82 @@ void DataTransformer<Dtype>::Transform(Blob<Dtype>* input_blob,
   }
 }
 
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(const Datum& datum) {
+  if (datum.encoded()) {
+    CHECK(!param_.force_color() && !param_.force_gray())
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+    // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // InferBlobShape using the cv::image.
+    return InferBlobShape(cv_img);
+  }
+
+  const int crop_size = param_.crop_size();
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+  // Check dimensions.
+  CHECK_GT(datum_channels, 0);
+  CHECK_GE(datum_height, crop_size);
+  CHECK_GE(datum_width, crop_size);
+  // Build BlobShape.
+  vector<int> shape(4);
+  shape[0] = 1;
+  shape[1] = datum_channels;
+  shape[2] = (crop_size)? crop_size: datum_height;
+  shape[3] = (crop_size)? crop_size: datum_width;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(
+    const vector<Datum> & datum_vector) {
+  const int num = datum_vector.size();
+  CHECK_GT(num, 0) << "There is no datum to in the vector";
+  // Use first datum in the vector to InferBlobShape.
+  vector<int> shape = InferBlobShape(datum_vector[0]);
+  // Adjust num to the size of the vector.
+  shape[0] = num;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(const cv::Mat& cv_img) {
+  const int crop_size = param_.crop_size();
+  const int img_channels = cv_img.channels();
+  const int img_height = cv_img.rows;
+  const int img_width = cv_img.cols;
+  // Check dimensions.
+  CHECK_GT(img_channels, 0);
+  CHECK_GE(img_height, crop_size);
+  CHECK_GE(img_width, crop_size);
+  // Build BlobShape.
+  vector<int> shape(4);
+  shape[0] = 1;
+  shape[1] = img_channels;
+  shape[2] = (crop_size)? crop_size: img_height;
+  shape[3] = (crop_size)? crop_size: img_width;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(
+    const vector<cv::Mat> & mat_vector) {
+  const int num = mat_vector.size();
+  CHECK_GT(num, 0) << "There is no cv_img to in the vector";
+  // Use first cv_img in the vector to InferBlobShape.
+  vector<int> shape = InferBlobShape(mat_vector[0]);
+  // Adjust num to the size of the vector.
+  shape[0] = num;
+  return shape;
+}
+
 template <typename Dtype>
 void DataTransformer<Dtype>::InitRand() {
   const bool needs_rand = param_.mirror() ||
index 931e4a9..26a1118 100644 (file)
@@ -20,11 +20,11 @@ void BaseDataLayer<Dtype>::LayerSetUp(const vector<Blob<Dtype>*>& bottom,
   } else {
     output_labels_ = true;
   }
-  // The subclasses should setup the size of bottom and top
-  DataLayerSetUp(bottom, top);
   data_transformer_.reset(
       new DataTransformer<Dtype>(transform_param_, this->phase_));
   data_transformer_->InitRand();
+  // The subclasses should setup the size of bottom and top
+  DataLayerSetUp(bottom, top);
 }
 
 template <typename Dtype>
@@ -62,13 +62,15 @@ void BasePrefetchingDataLayer<Dtype>::Forward_cpu(
   JoinPrefetchThread();
   DLOG(INFO) << "Thread joined";
   // Reshape to loaded data.
-  top[0]->Reshape(this->prefetch_data_.num(), this->prefetch_data_.channels(),
-      this->prefetch_data_.height(), this->prefetch_data_.width());
+  top[0]->ReshapeLike(prefetch_data_);
   // Copy the data
   caffe_copy(prefetch_data_.count(), prefetch_data_.cpu_data(),
              top[0]->mutable_cpu_data());
   DLOG(INFO) << "Prefetch copied";
   if (this->output_labels_) {
+    // Reshape to loaded labels.
+    top[1]->ReshapeLike(prefetch_label_);
+    // Copy the labels.
     caffe_copy(prefetch_label_.count(), prefetch_label_.cpu_data(),
                top[1]->mutable_cpu_data());
   }
index 775f6c4..9335a5b 100644 (file)
@@ -10,12 +10,14 @@ void BasePrefetchingDataLayer<Dtype>::Forward_gpu(
   // First, join the thread
   JoinPrefetchThread();
   // Reshape to loaded data.
-  top[0]->Reshape(this->prefetch_data_.num(), this->prefetch_data_.channels(),
-      this->prefetch_data_.height(), this->prefetch_data_.width());
+  top[0]->ReshapeLike(this->prefetch_data_);
   // Copy the data
   caffe_copy(prefetch_data_.count(), prefetch_data_.cpu_data(),
       top[0]->mutable_gpu_data());
   if (this->output_labels_) {
+    // Reshape to loaded labels.
+    top[1]->ReshapeLike(prefetch_label_);
+    // Copy the labels.
     caffe_copy(prefetch_label_.count(), prefetch_label_.cpu_data(),
         top[1]->mutable_gpu_data());
   }
index c0c9f6f..928ef5e 100644 (file)
@@ -39,13 +39,6 @@ void ConvolutionLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
   const Dtype* weight = this->blobs_[0]->cpu_data();
   Dtype* weight_diff = this->blobs_[0]->mutable_cpu_diff();
-  if (this->param_propagate_down_[0]) {
-    caffe_set(this->blobs_[0]->count(), Dtype(0), weight_diff);
-  }
-  if (this->bias_term_ && this->param_propagate_down_[1]) {
-    caffe_set(this->blobs_[1]->count(), Dtype(0),
-        this->blobs_[1]->mutable_cpu_diff());
-  }
   for (int i = 0; i < top.size(); ++i) {
     const Dtype* top_diff = top[i]->cpu_diff();
     const Dtype* bottom_data = bottom[i]->cpu_data();
index 3902fdf..b8a98ff 100644 (file)
@@ -31,13 +31,6 @@ void ConvolutionLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
   const Dtype* weight = this->blobs_[0]->gpu_data();
   Dtype* weight_diff = this->blobs_[0]->mutable_gpu_diff();
-  if (this->param_propagate_down_[0]) {
-    caffe_gpu_set(this->blobs_[0]->count(), Dtype(0), weight_diff);
-  }
-  if (this->bias_term_ && this->param_propagate_down_[1]) {
-    caffe_gpu_set(this->blobs_[1]->count(), Dtype(0),
-        this->blobs_[1]->mutable_gpu_diff());
-  }
   for (int i = 0; i < top.size(); ++i) {
     const Dtype* top_diff = top[i]->gpu_diff();
     // Bias gradient, if necessary.
index 4a1a4c4..b4e802e 100644 (file)
@@ -101,12 +101,10 @@ void CuDNNConvolutionLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
   if (this->param_propagate_down_[0]) {
     weight = this->blobs_[0]->gpu_data();
     weight_diff = this->blobs_[0]->mutable_gpu_diff();
-    caffe_gpu_set(this->blobs_[0]->count(), Dtype(0), weight_diff);
   }
   Dtype* bias_diff = NULL;
   if (this->bias_term_ && this->param_propagate_down_[1]) {
     bias_diff = this->blobs_[1]->mutable_gpu_diff();
-    caffe_gpu_set(this->blobs_[1]->count(), Dtype(0), bias_diff);
   }
   for (int i = 0; i < top.size(); ++i) {
     const Dtype* top_diff = top[i]->gpu_diff();
index 0f2d667..161a75e 100644 (file)
@@ -38,32 +38,17 @@ void DataLayer<Dtype>::DataLayerSetUp(const vector<Blob<Dtype>*>& bottom,
       cursor_->Next();
     }
   }
-  // Read a data point, and use it to initialize the top blob.
+  // Read a data point, to initialize the prefetch and top blobs.
   Datum datum;
   datum.ParseFromString(cursor_->value());
+  // Use data_transformer to infer the expected blob shape from datum.
+  vector<int> top_shape = this->data_transformer_->InferBlobShape(datum);
+  this->transformed_data_.Reshape(top_shape);
+  // Reshape top[0] and prefetch_data according to the batch_size.
+  top_shape[0] = this->layer_param_.data_param().batch_size();
+  this->prefetch_data_.Reshape(top_shape);
+  top[0]->ReshapeLike(this->prefetch_data_);
 
-  bool force_color = this->layer_param_.data_param().force_encoded_color();
-  if ((force_color && DecodeDatum(&datum, true)) ||
-      DecodeDatumNative(&datum)) {
-    LOG(INFO) << "Decoding Datum";
-  }
-  // image
-  int crop_size = this->layer_param_.transform_param().crop_size();
-  if (crop_size > 0) {
-    top[0]->Reshape(this->layer_param_.data_param().batch_size(),
-        datum.channels(), crop_size, crop_size);
-    this->prefetch_data_.Reshape(this->layer_param_.data_param().batch_size(),
-        datum.channels(), crop_size, crop_size);
-    this->transformed_data_.Reshape(1, datum.channels(), crop_size, crop_size);
-  } else {
-    top[0]->Reshape(
-        this->layer_param_.data_param().batch_size(), datum.channels(),
-        datum.height(), datum.width());
-    this->prefetch_data_.Reshape(this->layer_param_.data_param().batch_size(),
-        datum.channels(), datum.height(), datum.width());
-    this->transformed_data_.Reshape(1, datum.channels(),
-      datum.height(), datum.width());
-  }
   LOG(INFO) << "output data size: " << top[0]->num() << ","
       << top[0]->channels() << "," << top[0]->height() << ","
       << top[0]->width();
@@ -86,25 +71,17 @@ void DataLayer<Dtype>::InternalThreadEntry() {
   CHECK(this->prefetch_data_.count());
   CHECK(this->transformed_data_.count());
 
-  // Reshape on single input batches for inputs of varying dimension.
+  // Reshape according to the first datum of each batch
+  // on single input batches allows for inputs of varying dimension.
   const int batch_size = this->layer_param_.data_param().batch_size();
-  const int crop_size = this->layer_param_.transform_param().crop_size();
-  bool force_color = this->layer_param_.data_param().force_encoded_color();
-  if (batch_size == 1 && crop_size == 0) {
-    Datum datum;
-    datum.ParseFromString(cursor_->value());
-    if (datum.encoded()) {
-      if (force_color) {
-        DecodeDatum(&datum, true);
-      } else {
-        DecodeDatumNative(&datum);
-      }
-    }
-    this->prefetch_data_.Reshape(1, datum.channels(),
-        datum.height(), datum.width());
-    this->transformed_data_.Reshape(1, datum.channels(),
-        datum.height(), datum.width());
-  }
+  Datum datum;
+  datum.ParseFromString(cursor_->value());
+  // Use data_transformer to infer the expected blob shape from datum.
+  vector<int> top_shape = this->data_transformer_->InferBlobShape(datum);
+  this->transformed_data_.Reshape(top_shape);
+  // Reshape prefetch_data according to the batch_size.
+  top_shape[0] = batch_size;
+  this->prefetch_data_.Reshape(top_shape);
 
   Dtype* top_data = this->prefetch_data_.mutable_cpu_data();
   Dtype* top_label = NULL;  // suppress warnings about uninitialized variables
@@ -112,48 +89,31 @@ void DataLayer<Dtype>::InternalThreadEntry() {
   if (this->output_labels_) {
     top_label = this->prefetch_label_.mutable_cpu_data();
   }
+  timer.Start();
   for (int item_id = 0; item_id < batch_size; ++item_id) {
-    timer.Start();
-    // get a blob
+    // get a datum
     Datum datum;
     datum.ParseFromString(cursor_->value());
-
-    cv::Mat cv_img;
-    if (datum.encoded()) {
-      if (force_color) {
-        cv_img = DecodeDatumToCVMat(datum, true);
-      } else {
-        cv_img = DecodeDatumToCVMatNative(datum);
-      }
-      if (cv_img.channels() != this->transformed_data_.channels()) {
-        LOG(WARNING) << "Your dataset contains encoded images with mixed "
-        << "channel sizes. Consider adding a 'force_color' flag to the "
-        << "model definition, or rebuild your dataset using "
-        << "convert_imageset.";
-      }
-    }
     read_time += timer.MicroSeconds();
     timer.Start();
-
     // Apply data transformations (mirror, scale, crop...)
     int offset = this->prefetch_data_.offset(item_id);
     this->transformed_data_.set_cpu_data(top_data + offset);
-    if (datum.encoded()) {
-      this->data_transformer_->Transform(cv_img, &(this->transformed_data_));
-    } else {
-      this->data_transformer_->Transform(datum, &(this->transformed_data_));
-    }
+    this->data_transformer_->Transform(datum, &(this->transformed_data_));
+    // Copy label.
     if (this->output_labels_) {
       top_label[item_id] = datum.label();
     }
     trans_time += timer.MicroSeconds();
-    // go to the next iter
+    timer.Start();
+    // go to the next item.
     cursor_->Next();
     if (!cursor_->valid()) {
       DLOG(INFO) << "Restarting data prefetching from start.";
       cursor_->SeekToFirst();
     }
   }
+  timer.Stop();
   batch_timer.Stop();
   DLOG(INFO) << "Prefetch batch: " << batch_timer.MilliSeconds() << " ms.";
   DLOG(INFO) << "     Read time: " << read_time / 1000 << " ms.";
index e6d65ab..a461296 100644 (file)
@@ -39,13 +39,6 @@ void DeconvolutionLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
   const Dtype* weight = this->blobs_[0]->cpu_data();
   Dtype* weight_diff = this->blobs_[0]->mutable_cpu_diff();
-  if (this->param_propagate_down_[0]) {
-    caffe_set(this->blobs_[0]->count(), Dtype(0), weight_diff);
-  }
-  if (this->bias_term_ && this->param_propagate_down_[1]) {
-    caffe_set(this->blobs_[1]->count(), Dtype(0),
-        this->blobs_[1]->mutable_cpu_diff());
-  }
   for (int i = 0; i < top.size(); ++i) {
     const Dtype* top_diff = top[i]->cpu_diff();
     const Dtype* bottom_data = bottom[i]->cpu_data();
index 9198dd6..39bc4de 100644 (file)
@@ -31,13 +31,6 @@ void DeconvolutionLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
   const Dtype* weight = this->blobs_[0]->gpu_data();
   Dtype* weight_diff = this->blobs_[0]->mutable_gpu_diff();
-  if (this->param_propagate_down_[0]) {
-    caffe_gpu_set(this->blobs_[0]->count(), Dtype(0), weight_diff);
-  }
-  if (this->bias_term_ && this->param_propagate_down_[1]) {
-    caffe_gpu_set(this->blobs_[1]->count(), Dtype(0),
-        this->blobs_[1]->mutable_gpu_diff());
-  }
   for (int i = 0; i < top.size(); ++i) {
     const Dtype* top_diff = top[i]->gpu_diff();
     const Dtype* bottom_data = bottom[i]->gpu_data();
index 38ebbd5..18c035c 100644 (file)
@@ -62,21 +62,15 @@ void ImageDataLayer<Dtype>::DataLayerSetUp(const vector<Blob<Dtype>*>& bottom,
   // Read an image, and use it to initialize the top blob.
   cv::Mat cv_img = ReadImageToCVMat(root_folder + lines_[lines_id_].first,
                                     new_height, new_width, is_color);
-  const int channels = cv_img.channels();
-  const int height = cv_img.rows;
-  const int width = cv_img.cols;
-  // image
-  const int crop_size = this->layer_param_.transform_param().crop_size();
+  // Use data_transformer to infer the expected blob shape from a cv_image.
+  vector<int> top_shape = this->data_transformer_->InferBlobShape(cv_img);
+  this->transformed_data_.Reshape(top_shape);
+  // Reshape prefetch_data and top[0] according to the batch_size.
   const int batch_size = this->layer_param_.image_data_param().batch_size();
-  if (crop_size > 0) {
-    top[0]->Reshape(batch_size, channels, crop_size, crop_size);
-    this->prefetch_data_.Reshape(batch_size, channels, crop_size, crop_size);
-    this->transformed_data_.Reshape(1, channels, crop_size, crop_size);
-  } else {
-    top[0]->Reshape(batch_size, channels, height, width);
-    this->prefetch_data_.Reshape(batch_size, channels, height, width);
-    this->transformed_data_.Reshape(1, channels, height, width);
-  }
+  top_shape[0] = batch_size;
+  this->prefetch_data_.Reshape(top_shape);
+  top[0]->ReshapeLike(this->prefetch_data_);
+
   LOG(INFO) << "output data size: " << top[0]->num() << ","
       << top[0]->channels() << "," << top[0]->height() << ","
       << top[0]->width();
@@ -107,19 +101,19 @@ void ImageDataLayer<Dtype>::InternalThreadEntry() {
   const int batch_size = image_data_param.batch_size();
   const int new_height = image_data_param.new_height();
   const int new_width = image_data_param.new_width();
-  const int crop_size = this->layer_param_.transform_param().crop_size();
   const bool is_color = image_data_param.is_color();
   string root_folder = image_data_param.root_folder();
 
-  // Reshape on single input batches for inputs of varying dimension.
-  if (batch_size == 1 && crop_size == 0 && new_height == 0 && new_width == 0) {
-    cv::Mat cv_img = ReadImageToCVMat(root_folder + lines_[lines_id_].first,
-        0, 0, is_color);
-    this->prefetch_data_.Reshape(1, cv_img.channels(),
-        cv_img.rows, cv_img.cols);
-    this->transformed_data_.Reshape(1, cv_img.channels(),
-        cv_img.rows, cv_img.cols);
-  }
+  // Reshape according to the first image of each batch
+  // on single input batches allows for inputs of varying dimension.
+  cv::Mat cv_img = ReadImageToCVMat(root_folder + lines_[lines_id_].first,
+      new_height, new_width, is_color);
+  // Use data_transformer to infer the expected blob shape from a cv_img.
+  vector<int> top_shape = this->data_transformer_->InferBlobShape(cv_img);
+  this->transformed_data_.Reshape(top_shape);
+  // Reshape prefetch_data according to the batch_size.
+  top_shape[0] = batch_size;
+  this->prefetch_data_.Reshape(top_shape);
 
   Dtype* prefetch_data = this->prefetch_data_.mutable_cpu_data();
   Dtype* prefetch_label = this->prefetch_label_.mutable_cpu_data();
index 89e0c8f..83c3235 100644 (file)
@@ -101,13 +101,13 @@ void InnerProductLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
     const Dtype* bottom_data = bottom[0]->cpu_data();
     // Gradient with respect to weight
     caffe_cpu_gemm<Dtype>(CblasTrans, CblasNoTrans, N_, K_, M_, (Dtype)1.,
-        top_diff, bottom_data, (Dtype)0., this->blobs_[0]->mutable_cpu_diff());
+        top_diff, bottom_data, (Dtype)1., this->blobs_[0]->mutable_cpu_diff());
   }
   if (bias_term_ && this->param_propagate_down_[1]) {
     const Dtype* top_diff = top[0]->cpu_diff();
     // Gradient with respect to bias
     caffe_cpu_gemv<Dtype>(CblasTrans, M_, N_, (Dtype)1., top_diff,
-        bias_multiplier_.cpu_data(), (Dtype)0.,
+        bias_multiplier_.cpu_data(), (Dtype)1.,
         this->blobs_[1]->mutable_cpu_diff());
   }
   if (propagate_down[0]) {
index a9e1784..dd90cac 100644 (file)
@@ -33,13 +33,13 @@ void InnerProductLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
     const Dtype* bottom_data = bottom[0]->gpu_data();
     // Gradient with respect to weight
     caffe_gpu_gemm<Dtype>(CblasTrans, CblasNoTrans, N_, K_, M_, (Dtype)1.,
-        top_diff, bottom_data, (Dtype)0., this->blobs_[0]->mutable_gpu_diff());
+        top_diff, bottom_data, (Dtype)1., this->blobs_[0]->mutable_gpu_diff());
   }
   if (bias_term_ && this->param_propagate_down_[1]) {
     const Dtype* top_diff = top[0]->gpu_diff();
     // Gradient with respect to bias
     caffe_gpu_gemv<Dtype>(CblasTrans, M_, N_, (Dtype)1., top_diff,
-        bias_multiplier_.gpu_data(), (Dtype)0.,
+        bias_multiplier_.gpu_data(), (Dtype)1.,
         this->blobs_[1]->mutable_gpu_diff());
   }
   if (propagate_down[0]) {
index 24aa6a3..001b3c3 100644 (file)
@@ -7,44 +7,46 @@
 namespace caffe {
 
 template <typename Dtype>
-__global__ void LRNFillScale(const int nthreads, const Dtype* in,
+__global__ void LRNFillScale(const int nthreads, const Dtype* const in,
     const int num, const int channels, const int height,
     const int width, const int size, const Dtype alpha_over_size,
-    const Dtype k, Dtype* scale) {
+    const Dtype k, Dtype* const scale) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     // find out the local offset
-    int w = index % width;
-    int h = (index / width) % height;
-    int n = index / width / height;
-    int offset = (n * channels * height + h) * width + w;
-    int step = height * width;
-    in += offset;
-    scale += offset;
+    const int w = index % width;
+    const int h = (index / width) % height;
+    const int n = index / width / height;
+    const int offset = (n * channels * height + h) * width + w;
+    const int step = height * width;
+    const Dtype* const in_off = in + offset;
+    Dtype* const scale_off = scale + offset;
     int head = 0;
-    int pre_pad = (size - 1) / 2;
-    int post_pad = size - pre_pad - 1;
+    const int pre_pad = (size - 1) / 2;
+    const int post_pad = size - pre_pad - 1;
     Dtype accum_scale = 0;
     // fill the scale at [n, :, h, w]
     // accumulate values
     while (head < post_pad && head < channels) {
-      accum_scale += in[head * step] * in[head * step];
+      accum_scale += in_off[head * step] * in_off[head * step];
       ++head;
     }
     // both add and subtract
     while (head < channels) {
-      accum_scale += in[head * step] * in[head * step];
+      accum_scale += in_off[head * step] * in_off[head * step];
       if (head - size >= 0) {
-        accum_scale -= in[(head - size) * step] * in[(head - size) * step];
+        accum_scale -= in_off[(head - size) * step]
+                       * in_off[(head - size) * step];
       }
-      scale[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
+      scale_off[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
       ++head;
     }
     // subtract only
     while (head < channels + post_pad) {
       if (head - size >= 0) {
-        accum_scale -= in[(head - size) * step] * in[(head - size) * step];
+        accum_scale -= in_off[(head - size) * step]
+                       * in_off[(head - size) * step];
       }
-      scale[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
+      scale_off[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
       ++head;
     }
   }
@@ -68,8 +70,8 @@ void LRNLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
 
 // TODO: check if it would be faster to just put it into the previous kernel.
 template <typename Dtype>
-__global__ void LRNComputeOutput(const int nthreads, const Dtype* in,
-    const Dtype* scale, const Dtype negative_beta, Dtype* out) {
+__global__ void LRNComputeOutput(const int nthreads, const Dtype* const in,
+    const Dtype* const scale, const Dtype negative_beta, Dtype* const out) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     out[index] = in[index] * pow(scale[index], negative_beta);
   }
@@ -118,56 +120,58 @@ void LRNLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
 }
 
 template <typename Dtype>
-__global__ void LRNComputeDiff(const int nthreads, const Dtype* bottom_data,
-    const Dtype* top_data, const Dtype* scale, const Dtype* top_diff,
+__global__ void LRNComputeDiff(const int nthreads,
+    const Dtype* const bottom_data, const Dtype* const top_data,
+    const Dtype* const scale, const Dtype* const top_diff,
     const int num, const int channels, const int height,
     const int width, const int size, const Dtype negative_beta,
-    const Dtype cache_ratio,
-    Dtype* bottom_diff) {
+    const Dtype cache_ratio, Dtype* const bottom_diff) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     // find out the local offset
-    int w = index % width;
-    int h = (index / width) % height;
-    int n = index / width / height;
-    int offset = (n * channels * height + h) * width + w;
-    int step = height * width;
-    bottom_data += offset;
-    top_data += offset;
-    scale += offset;
-    top_diff += offset;
-    bottom_diff += offset;
+    const int w = index % width;
+    const int h = (index / width) % height;
+    const int n = index / width / height;
+    const int offset = (n * channels * height + h) * width + w;
+    const int step = height * width;
+    const Dtype* const bottom_off = bottom_data + offset;
+    const Dtype* const top_off = top_data + offset;
+    const Dtype* const scale_off = scale + offset;
+    const Dtype* const top_diff_off = top_diff + offset;
+    Dtype* const bottom_diff_off = bottom_diff + offset;
     int head = 0;
-    int pre_pad = size - (size + 1) / 2;
-    int post_pad = size - pre_pad - 1;
+    const int pre_pad = size - (size + 1) / 2;
+    const int post_pad = size - pre_pad - 1;
     Dtype accum_ratio = 0;
     // accumulate values
     while (head < post_pad && head < channels) {
-      accum_ratio += top_diff[head * step] * top_data[head * step] /
-          scale[head * step];
+      accum_ratio += top_diff_off[head * step] * top_off[head * step] /
+          scale_off[head * step];
       ++head;
     }
     // both add and subtract
     while (head < channels) {
-      accum_ratio += top_diff[head * step] * top_data[head * step] /
-          scale[head * step];
+      accum_ratio += top_diff_off[head * step] * top_off[head * step] /
+          scale_off[head * step];
       if (head - size >= 0) {
-        accum_ratio -= top_diff[(head - size) * step] *
-            top_data[(head - size) * step] / scale[(head - size) * step];
+        accum_ratio -= top_diff_off[(head - size) * step] *
+            top_off[(head - size) * step] / scale_off[(head - size) * step];
       }
-      bottom_diff[(head - post_pad) * step] = top_diff[(head - post_pad) * step]
-          * pow(scale[(head - post_pad) * step], negative_beta) - cache_ratio *
-          bottom_data[(head - post_pad) * step] * accum_ratio;
+      bottom_diff_off[(head - post_pad) * step] =
+          top_diff_off[(head - post_pad) * step]
+            * pow(scale_off[(head - post_pad) * step], negative_beta)
+          - cache_ratio * bottom_off[(head - post_pad) * step] * accum_ratio;
       ++head;
     }
     // subtract only
     while (head < channels + post_pad) {
       if (head - size >= 0) {
-        accum_ratio -= top_diff[(head - size) * step] *
-            top_data[(head - size) * step] / scale[(head - size) * step];
+        accum_ratio -= top_diff_off[(head - size) * step] *
+            top_off[(head - size) * step] / scale_off[(head - size) * step];
       }
-      bottom_diff[(head - post_pad) * step] = top_diff[(head - post_pad) * step]
-          * pow(scale[(head - post_pad) * step], negative_beta) - cache_ratio *
-          bottom_data[(head - post_pad) * step] * accum_ratio;
+      bottom_diff_off[(head - post_pad) * step] =
+          top_diff_off[(head - post_pad) * step]
+            * pow(scale_off[(head - post_pad) * step], negative_beta)
+          - cache_ratio * bottom_off[(head - post_pad) * step] * accum_ratio;
       ++head;
     }
   }
index b74d7b4..3e79bdd 100644 (file)
@@ -22,6 +22,7 @@ void MVNLayer<Dtype>::Reshape(const vector<Blob<Dtype>*>& bottom,
       bottom[0]->height(), bottom[0]->width());
   Dtype* multiplier_data = sum_multiplier_.mutable_cpu_data();
   caffe_set(sum_multiplier_.count(), Dtype(1), multiplier_data);
+  eps_ = this->layer_param_.mvn_param().eps();
 }
 
 template <typename Dtype>
@@ -36,7 +37,6 @@ void MVNLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
     num = bottom[0]->num() * bottom[0]->channels();
 
   int dim = bottom[0]->count() / num;
-  Dtype eps = 1e-10;
 
   if (this->layer_param_.mvn_param().normalize_variance()) {
     // put the squares of bottom into temp_
@@ -66,7 +66,7 @@ void MVNLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
     caffe_powx(variance_.count(), variance_.cpu_data(), Dtype(0.5),
           variance_.mutable_cpu_data());
 
-    caffe_add_scalar(variance_.count(), eps, variance_.mutable_cpu_data());
+    caffe_add_scalar(variance_.count(), eps_, variance_.mutable_cpu_data());
 
     caffe_cpu_gemm<Dtype>(CblasNoTrans, CblasNoTrans, num, dim, 1, 1.,
           variance_.cpu_data(), sum_multiplier_.cpu_data(), 0.,
@@ -102,7 +102,6 @@ void MVNLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
     num = bottom[0]->num() * bottom[0]->channels();
 
   int dim = bottom[0]->count() / num;
-  Dtype eps = 1e-10;
 
   if (this->layer_param_.mvn_param().normalize_variance()) {
     caffe_mul(temp_.count(), top_data, top_diff, bottom_diff);
@@ -125,24 +124,6 @@ void MVNLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
     // put the squares of bottom into temp_
     caffe_powx(temp_.count(), bottom_data, Dtype(2),
         temp_.mutable_cpu_data());
-
-    // computes variance using var(X) = E(X^2) - (EX)^2
-    caffe_cpu_gemv<Dtype>(CblasNoTrans, num, dim, 1. / dim, bottom_data,
-        sum_multiplier_.cpu_data(), 0., mean_.mutable_cpu_data());  // EX
-    caffe_cpu_gemv<Dtype>(CblasNoTrans, num, dim, 1. / dim, temp_.cpu_data(),
-        sum_multiplier_.cpu_data(), 0.,
-        variance_.mutable_cpu_data());  // E(X^2)
-    caffe_powx(mean_.count(), mean_.cpu_data(), Dtype(2),
-        temp_.mutable_cpu_data());  // (EX)^2
-    caffe_sub(mean_.count(), variance_.cpu_data(), temp_.cpu_data(),
-        variance_.mutable_cpu_data());  // variance
-
-    // normalize variance
-    caffe_powx(variance_.count(), variance_.cpu_data(), Dtype(0.5),
-          variance_.mutable_cpu_data());
-
-    caffe_add_scalar(variance_.count(), eps, variance_.mutable_cpu_data());
-
     caffe_cpu_gemm<Dtype>(CblasNoTrans, CblasNoTrans, num, dim, 1, 1.,
         variance_.cpu_data(), sum_multiplier_.cpu_data(), 0.,
         temp_.mutable_cpu_data());
index 0667f50..3888a0c 100644 (file)
@@ -36,8 +36,6 @@ void MVNLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
     caffe_gpu_sub(mean_.count(), variance_.gpu_data(), temp_.gpu_data(),
         variance_.mutable_gpu_data());  // variance
 
-    Dtype eps = 1e-10;
-
     // do mean and variance normalization
     // subtract mean
     caffe_gpu_gemm<Dtype>(CblasNoTrans, CblasNoTrans, num, dim, 1, -1.,
@@ -50,7 +48,7 @@ void MVNLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
     caffe_gpu_powx(variance_.count(), variance_.gpu_data(), Dtype(0.5),
           variance_.mutable_gpu_data());
 
-    caffe_gpu_add_scalar(variance_.count(), eps, variance_.mutable_gpu_data());
+    caffe_gpu_add_scalar(variance_.count(), eps_, variance_.mutable_gpu_data());
 
     caffe_gpu_gemm<Dtype>(CblasNoTrans, CblasNoTrans, num, dim, 1, 1.,
           variance_.gpu_data(), sum_multiplier_.gpu_data(), 0.,
@@ -87,8 +85,6 @@ void MVNLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
 
   int dim = bottom[0]->count() / num;
 
-  Dtype eps = 1e-10;
-
   if (this->layer_param_.mvn_param().normalize_variance()) {
     caffe_gpu_mul(temp_.count(), top_data, top_diff, bottom_diff);
     caffe_gpu_gemv<Dtype>(CblasNoTrans, num, dim, 1., bottom_diff,
@@ -111,23 +107,6 @@ void MVNLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
     caffe_gpu_powx(temp_.count(), bottom_data, Dtype(2),
         temp_.mutable_gpu_data());
 
-    // computes variance using var(X) = E(X^2) - (EX)^2
-    caffe_gpu_gemv<Dtype>(CblasNoTrans, num, dim, 1. / dim, bottom_data,
-        sum_multiplier_.gpu_data(), 0., mean_.mutable_gpu_data());  // EX
-    caffe_gpu_gemv<Dtype>(CblasNoTrans, num, dim, 1. / dim, temp_.gpu_data(),
-        sum_multiplier_.gpu_data(), 0.,
-        variance_.mutable_gpu_data());  // E(X^2)
-    caffe_gpu_powx(mean_.count(), mean_.gpu_data(), Dtype(2),
-        temp_.mutable_gpu_data());  // (EX)^2
-    caffe_gpu_sub(mean_.count(), variance_.gpu_data(), temp_.gpu_data(),
-        variance_.mutable_gpu_data());  // variance
-
-    // normalize variance
-    caffe_gpu_powx(variance_.count(), variance_.gpu_data(), Dtype(0.5),
-          variance_.mutable_gpu_data());
-
-    caffe_gpu_add_scalar(variance_.count(), eps, variance_.mutable_gpu_data());
-
     caffe_gpu_gemm<Dtype>(CblasNoTrans, CblasNoTrans, num, dim, 1, 1.,
         variance_.gpu_data(), sum_multiplier_.gpu_data(), 0.,
         temp_.mutable_gpu_data());
index d1d4850..ca4b13f 100644 (file)
@@ -9,31 +9,32 @@
 namespace caffe {
 
 template <typename Dtype>
-__global__ void MaxPoolForward(const int nthreads, const Dtype* bottom_data,
-    const int num, const int channels, const int height,
-    const int width, const int pooled_height, const int pooled_width,
-    const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, const int pad_h, const int pad_w, Dtype* top_data,
-    int* mask, Dtype* top_mask) {
+__global__ void MaxPoolForward(const int nthreads,
+    const Dtype* const bottom_data, const int num, const int channels,
+    const int height, const int width, const int pooled_height,
+    const int pooled_width, const int kernel_h, const int kernel_w,
+    const int stride_h, const int stride_w, const int pad_h, const int pad_w,
+    Dtype* const top_data, int* mask, Dtype* top_mask) {
   CUDA_KERNEL_LOOP(index, nthreads) {
-    int pw = index % pooled_width;
-    int ph = (index / pooled_width) % pooled_height;
-    int c = (index / pooled_width / pooled_height) % channels;
-    int n = index / pooled_width / pooled_height / channels;
+    const int pw = index % pooled_width;
+    const int ph = (index / pooled_width) % pooled_height;
+    const int c = (index / pooled_width / pooled_height) % channels;
+    const int n = index / pooled_width / pooled_height / channels;
     int hstart = ph * stride_h - pad_h;
     int wstart = pw * stride_w - pad_w;
-    int hend = min(hstart + kernel_h, height);
-    int wend = min(wstart + kernel_w, width);
+    const int hend = min(hstart + kernel_h, height);
+    const int wend = min(wstart + kernel_w, width);
     hstart = max(hstart, 0);
     wstart = max(wstart, 0);
     Dtype maxval = -FLT_MAX;
     int maxidx = -1;
-    bottom_data += (n * channels + c) * height * width;
+    const Dtype* const bottom_slice =
+        bottom_data + (n * channels + c) * height * width;
     for (int h = hstart; h < hend; ++h) {
       for (int w = wstart; w < wend; ++w) {
-        if (bottom_data[h * width + w] > maxval) {
+        if (bottom_slice[h * width + w] > maxval) {
           maxidx = h * width + w;
-          maxval = bottom_data[maxidx];
+          maxval = bottom_slice[maxidx];
         }
       }
     }
@@ -47,30 +48,32 @@ __global__ void MaxPoolForward(const int nthreads, const Dtype* bottom_data,
 }
 
 template <typename Dtype>
-__global__ void AvePoolForward(const int nthreads, const Dtype* bottom_data,
-    const int num, const int channels, const int height,
-    const int width, const int pooled_height, const int pooled_width,
-    const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, const int pad_h, const int pad_w, Dtype* top_data) {
+__global__ void AvePoolForward(const int nthreads,
+    const Dtype* const bottom_data, const int num, const int channels,
+    const int height, const int width, const int pooled_height,
+    const int pooled_width, const int kernel_h, const int kernel_w,
+    const int stride_h, const int stride_w, const int pad_h, const int pad_w,
+    Dtype* const top_data) {
   CUDA_KERNEL_LOOP(index, nthreads) {
-    int pw = index % pooled_width;
-    int ph = (index / pooled_width) % pooled_height;
-    int c = (index / pooled_width / pooled_height) % channels;
-    int n = index / pooled_width / pooled_height / channels;
+    const int pw = index % pooled_width;
+    const int ph = (index / pooled_width) % pooled_height;
+    const int c = (index / pooled_width / pooled_height) % channels;
+    const int n = index / pooled_width / pooled_height / channels;
     int hstart = ph * stride_h - pad_h;
     int wstart = pw * stride_w - pad_w;
     int hend = min(hstart + kernel_h, height + pad_h);
     int wend = min(wstart + kernel_w, width + pad_w);
-    int pool_size = (hend - hstart) * (wend - wstart);
+    const int pool_size = (hend - hstart) * (wend - wstart);
     hstart = max(hstart, 0);
     wstart = max(wstart, 0);
     hend = min(hend, height);
     wend = min(wend, width);
     Dtype aveval = 0;
-    bottom_data += (n * channels + c) * height * width;
+    const Dtype* const bottom_slice =
+        bottom_data + (n * channels + c) * height * width;
     for (int h = hstart; h < hend; ++h) {
       for (int w = wstart; w < wend; ++w) {
-        aveval += bottom_data[h * width + w];
+        aveval += bottom_slice[h * width + w];
       }
     }
     top_data[index] = aveval / pool_size;
@@ -79,37 +82,38 @@ __global__ void AvePoolForward(const int nthreads, const Dtype* bottom_data,
 
 template <typename Dtype>
 __global__ void StoPoolForwardTrain(const int nthreads,
-    const Dtype* bottom_data,
+    const Dtype* const bottom_data,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, Dtype* rand_idx, Dtype* top_data) {
+    const int stride_w, Dtype* const rand_idx, Dtype* const top_data) {
   CUDA_KERNEL_LOOP(index, nthreads) {
-    int pw = index % pooled_width;
-    int ph = (index / pooled_width) % pooled_height;
-    int c = (index / pooled_width / pooled_height) % channels;
-    int n = index / pooled_width / pooled_height / channels;
-    int hstart = ph * stride_h;
-    int hend = min(hstart + kernel_h, height);
-    int wstart = pw * stride_w;
-    int wend = min(wstart + kernel_w, width);
+    const int pw = index % pooled_width;
+    const int ph = (index / pooled_width) % pooled_height;
+    const int c = (index / pooled_width / pooled_height) % channels;
+    const int n = index / pooled_width / pooled_height / channels;
+    const int hstart = ph * stride_h;
+    const int hend = min(hstart + kernel_h, height);
+    const int wstart = pw * stride_w;
+    const int wend = min(wstart + kernel_w, width);
     Dtype cumsum = 0.;
-    bottom_data += (n * channels + c) * height * width;
+    const Dtype* const bottom_slice =
+        bottom_data + (n * channels + c) * height * width;
     // First pass: get sum
     for (int h = hstart; h < hend; ++h) {
       for (int w = wstart; w < wend; ++w) {
-        cumsum += bottom_data[h * width + w];
+        cumsum += bottom_slice[h * width + w];
       }
     }
-    float thres = rand_idx[index] * cumsum;
+    const float thres = rand_idx[index] * cumsum;
     // Second pass: get value, and set index.
     cumsum = 0;
     for (int h = hstart; h < hend; ++h) {
       for (int w = wstart; w < wend; ++w) {
-        cumsum += bottom_data[h * width + w];
+        cumsum += bottom_slice[h * width + w];
         if (cumsum >= thres) {
           rand_idx[index] = ((n * channels + c) * height + h) * width + w;
-          top_data[index] = bottom_data[h * width + w];
+          top_data[index] = bottom_slice[h * width + w];
           return;
         }
       }
@@ -120,29 +124,30 @@ __global__ void StoPoolForwardTrain(const int nthreads,
 
 template <typename Dtype>
 __global__ void StoPoolForwardTest(const int nthreads,
-    const Dtype* bottom_data,
+    const Dtype* const bottom_data,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, Dtype* top_data) {
+    const int stride_w, Dtype* const top_data) {
   CUDA_KERNEL_LOOP(index, nthreads) {
-    int pw = index % pooled_width;
-    int ph = (index / pooled_width) % pooled_height;
-    int c = (index / pooled_width / pooled_height) % channels;
-    int n = index / pooled_width / pooled_height / channels;
-    int hstart = ph * stride_h;
-    int hend = min(hstart + kernel_h, height);
-    int wstart = pw * stride_w;
-    int wend = min(wstart + kernel_w, width);
+    const int pw = index % pooled_width;
+    const int ph = (index / pooled_width) % pooled_height;
+    const int c = (index / pooled_width / pooled_height) % channels;
+    const int n = index / pooled_width / pooled_height / channels;
+    const int hstart = ph * stride_h;
+    const int hend = min(hstart + kernel_h, height);
+    const int wstart = pw * stride_w;
+    const int wend = min(wstart + kernel_w, width);
     // We set cumsum to be 0 to avoid divide-by-zero problems
     Dtype cumsum = FLT_MIN;
     Dtype cumvalues = 0.;
-    bottom_data += (n * channels + c) * height * width;
+    const Dtype* const bottom_slice =
+        bottom_data + (n * channels + c) * height * width;
     // First pass: get sum
     for (int h = hstart; h < hend; ++h) {
       for (int w = wstart; w < wend; ++w) {
-        cumsum += bottom_data[h * width + w];
-        cumvalues += bottom_data[h * width + w] * bottom_data[h * width + w];
+        cumsum += bottom_slice[h * width + w];
+        cumvalues += bottom_slice[h * width + w] * bottom_slice[h * width + w];
       }
     }
     top_data[index] = cumvalues / cumsum;
@@ -210,43 +215,43 @@ void PoolingLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
 
 
 template <typename Dtype>
-__global__ void MaxPoolBackward(const int nthreads, const Dtype* top_diff,
-    const int* mask, const Dtype* top_mask, const int num, const int channels,
-    const int height, const int width, const int pooled_height,
-    const int pooled_width, const int kernel_h, const int kernel_w,
-    const int stride_h, const int stride_w, const int pad_h, const int pad_w,
-    Dtype* bottom_diff) {
+__global__ void MaxPoolBackward(const int nthreads, const Dtype* const top_diff,
+    const int* const mask, const Dtype* const top_mask, const int num,
+    const int channels, const int height, const int width,
+    const int pooled_height, const int pooled_width, const int kernel_h,
+    const int kernel_w, const int stride_h, const int stride_w, const int pad_h,
+    const int pad_w, Dtype* const bottom_diff) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     // find out the local index
     // find out the local offset
-    int w = index % width;
-    int h = (index / width) % height;
-    int c = (index / width / height) % channels;
-    int n = index / width / height / channels;
-    int phstart =
-        (h + pad_h < kernel_h) ? 0 : (h + pad_h - kernel_h) / stride_h + 1;
-    int phend = min((h + pad_h) / stride_h + 1, pooled_height);
-    int pwstart =
-        (w + pad_w < kernel_w) ? 0 : (w + pad_w - kernel_w) / stride_w + 1;
-    int pwend = min((w + pad_w) / stride_w + 1, pooled_width);
+    const int w = index % width;
+    const int h = (index / width) % height;
+    const int c = (index / width / height) % channels;
+    const int n = index / width / height / channels;
+    const int phstart =
+         (h + pad_h < kernel_h) ? 0 : (h + pad_h - kernel_h) / stride_h + 1;
+    const int phend = min((h + pad_h) / stride_h + 1, pooled_height);
+    const int pwstart =
+         (w + pad_w < kernel_w) ? 0 : (w + pad_w - kernel_w) / stride_w + 1;
+    const int pwend = min((w + pad_w) / stride_w + 1, pooled_width);
     Dtype gradient = 0;
-    int offset = (n * channels + c) * pooled_height * pooled_width;
-    top_diff += offset;
+    const int offset = (n * channels + c) * pooled_height * pooled_width;
+    const Dtype* const top_diff_slice = top_diff + offset;
     if (mask) {
-      mask += offset;
+      const int* const mask_slice = mask + offset;
       for (int ph = phstart; ph < phend; ++ph) {
         for (int pw = pwstart; pw < pwend; ++pw) {
-          if (mask[ph * pooled_width + pw] == h * width + w) {
-            gradient += top_diff[ph * pooled_width + pw];
+          if (mask_slice[ph * pooled_width + pw] == h * width + w) {
+            gradient += top_diff_slice[ph * pooled_width + pw];
           }
         }
       }
     } else {
-      top_mask += offset;
+      const Dtype* const top_mask_slice = top_mask + offset;
       for (int ph = phstart; ph < phend; ++ph) {
         for (int pw = pwstart; pw < pwend; ++pw) {
-          if (top_mask[ph * pooled_width + pw] == h * width + w) {
-            gradient += top_diff[ph * pooled_width + pw];
+          if (top_mask_slice[ph * pooled_width + pw] == h * width + w) {
+            gradient += top_diff_slice[ph * pooled_width + pw];
           }
         }
       }
@@ -256,25 +261,26 @@ __global__ void MaxPoolBackward(const int nthreads, const Dtype* top_diff,
 }
 
 template <typename Dtype>
-__global__ void AvePoolBackward(const int nthreads, const Dtype* top_diff,
+__global__ void AvePoolBackward(const int nthreads, const Dtype* const top_diff,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
     const int stride_w, const int pad_h, const int pad_w,
-    Dtype* bottom_diff) {
+    Dtype* const bottom_diff) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     // find out the local index
     // find out the local offset
-    int w = index % width + pad_w;
-    int h = (index / width) % height + pad_h;
-    int c = (index / width / height) % channels;
-    int n = index / width / height / channels;
-    int phstart = (h < kernel_h) ? 0 : (h - kernel_h) / stride_h + 1;
-    int phend = min(h / stride_h + 1, pooled_height);
-    int pwstart = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
-    int pwend = min(w / stride_w + 1, pooled_width);
+    const int w = index % width + pad_w;
+    const int h = (index / width) % height + pad_h;
+    const int c = (index / width / height) % channels;
+    const int n = index / width / height / channels;
+    const int phstart = (h < kernel_h) ? 0 : (h - kernel_h) / stride_h + 1;
+    const int phend = min(h / stride_h + 1, pooled_height);
+    const int pwstart = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
+    const int pwend = min(w / stride_w + 1, pooled_width);
     Dtype gradient = 0;
-    top_diff += (n * channels + c) * pooled_height * pooled_width;
+    const Dtype* const top_diff_slice =
+        top_diff + (n * channels + c) * pooled_height * pooled_width;
     for (int ph = phstart; ph < phend; ++ph) {
       for (int pw = pwstart; pw < pwend; ++pw) {
         // figure out the pooling size
@@ -283,7 +289,7 @@ __global__ void AvePoolBackward(const int nthreads, const Dtype* top_diff,
         int hend = min(hstart + kernel_h, height + pad_h);
         int wend = min(wstart + kernel_w, width + pad_w);
         int pool_size = (hend - hstart) * (wend - wstart);
-        gradient += top_diff[ph * pooled_width + pw] / pool_size;
+        gradient += top_diff_slice[ph * pooled_width + pw] / pool_size;
       }
     }
     bottom_diff[index] = gradient;
@@ -293,29 +299,31 @@ __global__ void AvePoolBackward(const int nthreads, const Dtype* top_diff,
 
 template <typename Dtype>
 __global__ void StoPoolBackward(const int nthreads,
-    const Dtype* rand_idx, const Dtype* top_diff,
+    const Dtype* const rand_idx, const Dtype* const top_diff,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, Dtype* bottom_diff) {
+    const int stride_w, Dtype* const bottom_diff) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     // find out the local index
     // find out the local offset
-    int w = index % width;
-    int h = (index / width) % height;
-    int c = (index / width / height) % channels;
-    int n = index / width / height / channels;
-    int phstart = (h < kernel_h) ? 0 : (h - kernel_h) / stride_h + 1;
-    int phend = min(h / stride_h + 1, pooled_height);
-    int pwstart = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
-    int pwend = min(w / stride_w + 1, pooled_width);
+    const int w = index % width;
+    const int h = (index / width) % height;
+    const int c = (index / width / height) % channels;
+    const int n = index / width / height / channels;
+    const int phstart = (h < kernel_h) ? 0 : (h - kernel_h) / stride_h + 1;
+    const int phend = min(h / stride_h + 1, pooled_height);
+    const int pwstart = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
+    const int pwend = min(w / stride_w + 1, pooled_width);
     Dtype gradient = 0;
-    rand_idx += (n * channels + c) * pooled_height * pooled_width;
-    top_diff += (n * channels + c) * pooled_height * pooled_width;
+    const Dtype* const rand_idx_slice =
+        rand_idx + (n * channels + c) * pooled_height * pooled_width;
+    const Dtype* const top_diff_slice =
+        top_diff + (n * channels + c) * pooled_height * pooled_width;
     for (int ph = phstart; ph < phend; ++ph) {
       for (int pw = pwstart; pw < pwend; ++pw) {
-        gradient += top_diff[ph * pooled_width + pw] *
-            (index == static_cast<int>(rand_idx[ph * pooled_width + pw]));
+        gradient += top_diff_slice[ph * pooled_width + pw] *
+            (index == static_cast<int>(rand_idx_slice[ph * pooled_width + pw]));
       }
     }
     bottom_diff[index] = gradient;
index 610bf84..94f713e 100644 (file)
@@ -49,6 +49,14 @@ message FillerParameter {
   // The expected number of non-zero output weights for a given input in
   // Gaussian filler -- the default -1 means don't perform sparsification.
   optional int32 sparse = 7 [default = -1];
+  // Normalize the filler variance by fan_in, fan_out, or their average.
+  // Applies to 'xavier' and 'msra' fillers.
+  enum VarianceNorm {
+    FAN_IN = 0;
+    FAN_OUT = 1;
+    AVERAGE = 2;
+  }
+  optional VarianceNorm variance_norm = 8 [default = FAN_IN];
 }
 
 message NetParameter {
@@ -88,7 +96,7 @@ message NetParameter {
 // NOTE
 // Update the next available ID when you add a new SolverParameter field.
 //
-// SolverParameter next available ID: 36 (last added: clip_gradients)
+// SolverParameter next available ID: 37 (last added: iter_size)
 message SolverParameter {
   //////////////////////////////////////////////////////////////////////////////
   // Specifying the train and test networks
@@ -141,6 +149,8 @@ message SolverParameter {
   // Display the loss averaged over the last average_loss iterations
   optional int32 average_loss = 33 [default = 1];
   optional int32 max_iter = 7; // the maximum number of iterations
+  // accumulate gradients over `iter_size` x `batch_size` instances
+  optional int32 iter_size = 36 [default = 1];
   optional string lr_policy = 8; // The learning rate decay policy.
   optional float gamma = 9; // The parameter to compute the learning rate.
   optional float power = 10; // The parameter to compute the learning rate.
@@ -357,6 +367,10 @@ message TransformationParameter {
   // or can be repeated the same number of times as channels
   // (would subtract them from the corresponding channel)
   repeated float mean_value = 5;
+  // Force the decoded image to have 3 color channels.
+  optional bool force_color = 6 [default = false];
+  // Force the decoded image to have 1 color channels.
+  optional bool force_gray = 7 [default = false];
 }
 
 // Message that stores parameters shared by loss layers
@@ -368,7 +382,9 @@ message LossParameter {
   optional bool normalize = 2 [default = true];
 }
 
-// Message that stores parameters used by AccuracyLayer
+// Messages that store parameters used by individual layer types follow, in
+// alphabetical order.
+
 message AccuracyParameter {
   // When computing accuracy, count as correct by comparing the true label to
   // the top k scoring classes.  By default, only compare to the top scoring
@@ -386,14 +402,12 @@ message AccuracyParameter {
   optional int32 ignore_label = 3;
 }
 
-// Message that stores parameters used by ArgMaxLayer
 message ArgMaxParameter {
   // If true produce pairs (argmax, maxval)
   optional bool out_max_val = 1 [default = false];
   optional uint32 top_k = 2 [default = 1];
 }
 
-// Message that stores parameters used by ConcatLayer
 message ConcatParameter {
   // The axis along which to concatenate -- may be negative to index from the
   // end (e.g., -1 for the last axis).  Other axes must have the
@@ -405,7 +419,6 @@ message ConcatParameter {
   optional uint32 concat_dim = 1 [default = 1];
 }
 
-// Message that stores parameters used by ContrastiveLossLayer
 message ContrastiveLossParameter {
   // margin for dissimilar pair
   optional float margin = 1 [default = 1.0];
@@ -418,7 +431,6 @@ message ContrastiveLossParameter {
   optional bool legacy_version = 2 [default = false]; 
 }
 
-// Message that stores parameters used by ConvolutionLayer
 message ConvolutionParameter {
   optional uint32 num_output = 1; // The number of outputs for the layer
   optional bool bias_term = 2 [default = true]; // whether to have bias terms
@@ -444,7 +456,6 @@ message ConvolutionParameter {
   optional Engine engine = 15 [default = DEFAULT];
 }
 
-// Message that stores parameters used by DataLayer
 message DataParameter {
   enum DB {
     LEVELDB = 0;
@@ -475,12 +486,10 @@ message DataParameter {
   optional bool force_encoded_color = 9 [default = false];
 }
 
-// Message that stores parameters used by DropoutLayer
 message DropoutParameter {
   optional float dropout_ratio = 1 [default = 0.5]; // dropout ratio
 }
 
-// Message that stores parameters used by DummyDataLayer.
 // DummyDataLayer fills any number of arbitrarily shaped blobs with random
 // (or constant) data generated by "Fillers" (see "message FillerParameter").
 message DummyDataParameter {
@@ -500,7 +509,6 @@ message DummyDataParameter {
   repeated uint32 width = 5;
 }
 
-// Message that stores parameters used by EltwiseLayer
 message EltwiseParameter {
   enum EltwiseOp {
     PROD = 0;
@@ -515,7 +523,6 @@ message EltwiseParameter {
   optional bool stable_prod_grad = 3 [default = true];
 }
 
-// Message that stores parameters used by ExpLayer
 message ExpParameter {
   // ExpLayer computes outputs y = base ^ (shift + scale * x), for base > 0.
   // Or if base is set to the default (-1), base is set to e,
@@ -525,7 +532,6 @@ message ExpParameter {
   optional float shift = 3 [default = 0.0];
 }
 
-// Message that stores parameters used by HDF5DataLayer
 message HDF5DataParameter {
   // Specify the data source.
   optional string source = 1;
@@ -540,7 +546,6 @@ message HDF5DataParameter {
   optional bool shuffle = 3 [default = false];
 }
 
-// Message that stores parameters used by HDF5OutputLayer
 message HDF5OutputParameter {
   optional string file_name = 1;
 }
@@ -554,7 +559,6 @@ message HingeLossParameter {
   optional Norm norm = 1 [default = L1];
 }
 
-// Message that stores parameters used by ImageDataLayer
 message ImageDataParameter {
   // Specify the data source.
   optional string source = 1;
@@ -586,13 +590,11 @@ message ImageDataParameter {
   optional string root_folder = 12 [default = ""];
 }
 
-// Message that stores parameters InfogainLossLayer
 message InfogainLossParameter {
   // Specify the infogain matrix source.
   optional string source = 1;
 }
 
-// Message that stores parameters used by InnerProductLayer
 message InnerProductParameter {
   optional uint32 num_output = 1; // The number of outputs for the layer
   optional bool bias_term = 2 [default = true]; // whether to have bias terms
@@ -605,7 +607,6 @@ message InnerProductParameter {
   optional int32 axis = 5 [default = 1];
 }
 
-// Message that stores parameters used by LRNLayer
 message LRNParameter {
   optional uint32 local_size = 1 [default = 5];
   optional float alpha = 2 [default = 1.];
@@ -618,7 +619,6 @@ message LRNParameter {
   optional float k = 5 [default = 1.];
 }
 
-// Message that stores parameters used by MemoryDataLayer
 message MemoryDataParameter {
   optional uint32 batch_size = 1;
   optional uint32 channels = 2;
@@ -626,16 +626,17 @@ message MemoryDataParameter {
   optional uint32 width = 4;
 }
 
-// Message that stores parameters used by MVNLayer
 message MVNParameter {
   // This parameter can be set to false to normalize mean only
   optional bool normalize_variance = 1 [default = true];
 
   // This parameter can be set to true to perform DNN-like MVN
   optional bool across_channels = 2 [default = false];
+
+  // Epsilon for not dividing by zero while normalizing variance
+  optional float eps = 3 [default = 1e-9];
 }
 
-// Message that stores parameters used by PoolingLayer
 message PoolingParameter {
   enum PoolMethod {
     MAX = 0;
@@ -665,7 +666,6 @@ message PoolingParameter {
   optional bool global_pooling = 12 [default = false];
 }
 
-// Message that stores parameters used by PowerLayer
 message PowerParameter {
   // PowerLayer computes outputs y = (shift + scale * x) ^ power.
   optional float power = 1 [default = 1.0];
@@ -673,13 +673,11 @@ message PowerParameter {
   optional float shift = 3 [default = 0.0];
 }
 
-// Message that stores parameters used by PythonLayer
 message PythonParameter {
   optional string module = 1;
   optional string layer = 2;
 }
 
-// Message that stores parameters used by ReLULayer
 message ReLUParameter {
   // Allow non-zero slope for negative inputs to speed up optimization
   // Described in:
@@ -695,7 +693,6 @@ message ReLUParameter {
   optional Engine engine = 2 [default = DEFAULT];
 }
 
-// Message that stores parameters used by ReshapeLayer
 message ReshapeParameter {
   // Specify the output dimensions. If some of the dimensions are set to 0,
   // the corresponding dimension from the bottom layer is used (unchanged).
@@ -760,7 +757,6 @@ message ReshapeParameter {
   optional int32 num_axes = 3 [default = -1];
 }
 
-// Message that stores parameters used by SigmoidLayer
 message SigmoidParameter {
   enum Engine {
     DEFAULT = 0;
@@ -770,7 +766,6 @@ message SigmoidParameter {
   optional Engine engine = 1 [default = DEFAULT];
 }
 
-// Message that stores parameters used by SliceLayer
 message SliceParameter {
   // The axis along which to slice -- may be negative to index from the end
   // (e.g., -1 for the last axis).
@@ -797,7 +792,6 @@ message SoftmaxParameter {
   optional int32 axis = 2 [default = 1];
 }
 
-// Message that stores parameters used by TanHLayer
 message TanHParameter {
   enum Engine {
     DEFAULT = 0;
@@ -807,12 +801,10 @@ message TanHParameter {
   optional Engine engine = 1 [default = DEFAULT];
 }
 
-// Message that stores parameters used by ThresholdLayer
 message ThresholdParameter {
   optional float threshold = 1 [default = 0]; // Strictly positive values
 }
 
-// Message that stores parameters used by WindowDataLayer
 message WindowDataParameter {
   // Specify the data source.
   optional string source = 1;
@@ -846,7 +838,6 @@ message WindowDataParameter {
   optional string root_folder = 13 [default = ""];
 }
 
-// Message that stores parameters used by SPPLayer
 message SPPParameter {
   enum PoolMethod {
     MAX = 0;
@@ -1050,7 +1041,6 @@ message V0LayerParameter {
   optional HDF5OutputParameter hdf5_output_param = 1001;
 }
 
-// Message that stores parameters used by PReLULayer
 message PReLUParameter {
   // Parametric ReLU described in K. He et al, Delving Deep into Rectifiers:
   // Surpassing Human-Level Performance on ImageNet Classification, 2015.
index 877b19b..aabe0ed 100644 (file)
@@ -168,6 +168,25 @@ void Solver<Dtype>::Step(int iters) {
   Dtype smoothed_loss = 0;
 
   while (iter_ < stop_iter) {
+    // zero-init the params
+    for (int i = 0; i < net_->params().size(); ++i) {
+      shared_ptr<Blob<Dtype> > blob = net_->params()[i];
+      switch (Caffe::mode()) {
+      case Caffe::CPU:
+        caffe_set(blob->count(), static_cast<Dtype>(0),
+            blob->mutable_cpu_diff());
+        break;
+      case Caffe::GPU:
+#ifndef CPU_ONLY
+        caffe_gpu_set(blob->count(), static_cast<Dtype>(0),
+            blob->mutable_gpu_diff());
+#else
+        NO_GPU;
+#endif
+        break;
+      }
+    }
+
     if (param_.test_interval() && iter_ % param_.test_interval() == 0
         && (iter_ > 0 || param_.test_initialization())) {
       TestAll();
@@ -175,7 +194,13 @@ void Solver<Dtype>::Step(int iters) {
 
     const bool display = param_.display() && iter_ % param_.display() == 0;
     net_->set_debug_info(display && param_.debug_info());
-    Dtype loss = net_->ForwardBackward(bottom_vec);
+    // accumulate the loss and gradient
+    Dtype loss = 0;
+    for (int i = 0; i < param_.iter_size(); ++i) {
+      loss += net_->ForwardBackward(bottom_vec);
+    }
+    loss /= param_.iter_size();
+    // average the loss across iterations for smoothed reporting
     if (losses.size() < average_loss) {
       losses.push_back(loss);
       int size = losses.size();
@@ -207,8 +232,7 @@ void Solver<Dtype>::Step(int iters) {
         }
       }
     }
-    ComputeUpdateValue();
-    net_->Update();
+    ApplyUpdate();
 
     // Increment the internal iter_ counter -- its value should always indicate
     // the number of times the weights have been updated.
@@ -456,95 +480,138 @@ void SGDSolver<Dtype>::ClipGradients() {
 }
 
 template <typename Dtype>
-void SGDSolver<Dtype>::ComputeUpdateValue() {
-  const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
-  const vector<float>& net_params_lr = this->net_->params_lr();
-  const vector<float>& net_params_weight_decay =
-      this->net_->params_weight_decay();
-  // get the learning rate
+void SGDSolver<Dtype>::ApplyUpdate() {
   Dtype rate = GetLearningRate();
   if (this->param_.display() && this->iter_ % this->param_.display() == 0) {
     LOG(INFO) << "Iteration " << this->iter_ << ", lr = " << rate;
   }
   ClipGradients();
-  Dtype momentum = this->param_.momentum();
+  for (int param_id = 0; param_id < this->net_->params().size(); ++param_id) {
+    Normalize(param_id);
+    Regularize(param_id);
+    ComputeUpdateValue(param_id, rate);
+  }
+  this->net_->Update();
+}
+
+template <typename Dtype>
+void SGDSolver<Dtype>::Normalize(int param_id) {
+  if (this->param_.iter_size() == 1) { return; }
+  // Scale gradient to counterbalance accumulation.
+  const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
+  const Dtype accum_normalization = Dtype(1.) / this->param_.iter_size();
+  switch (Caffe::mode()) {
+  case Caffe::CPU: {
+    caffe_scal(net_params[param_id]->count(), accum_normalization,
+        net_params[param_id]->mutable_cpu_diff());
+    break;
+  }
+  case Caffe::GPU: {
+#ifndef CPU_ONLY
+    caffe_gpu_scal(net_params[param_id]->count(), accum_normalization,
+        net_params[param_id]->mutable_gpu_diff());
+#else
+    NO_GPU;
+#endif
+    break;
+  }
+  default:
+    LOG(FATAL) << "Unknown caffe mode: " << Caffe::mode();
+  }
+}
+
+template <typename Dtype>
+void SGDSolver<Dtype>::Regularize(int param_id) {
+  const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
+  const vector<float>& net_params_weight_decay =
+      this->net_->params_weight_decay();
   Dtype weight_decay = this->param_.weight_decay();
   string regularization_type = this->param_.regularization_type();
+  Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
   switch (Caffe::mode()) {
-  case Caffe::CPU:
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      // Compute the value to history, and then copy them to the blob's diff.
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_cpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->cpu_data(),
-              temp_[param_id]->mutable_cpu_data());
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              temp_[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
+  case Caffe::CPU: {
+    if (local_decay) {
+      if (regularization_type == "L2") {
+        // add weight decay
+        caffe_axpy(net_params[param_id]->count(),
+            local_decay,
+            net_params[param_id]->cpu_data(),
+            net_params[param_id]->mutable_cpu_diff());
+      } else if (regularization_type == "L1") {
+        caffe_cpu_sign(net_params[param_id]->count(),
+            net_params[param_id]->cpu_data(),
+            temp_[param_id]->mutable_cpu_data());
+        caffe_axpy(net_params[param_id]->count(),
+            local_decay,
+            temp_[param_id]->cpu_data(),
+            net_params[param_id]->mutable_cpu_diff());
+      } else {
+        LOG(FATAL) << "Unknown regularization type: " << regularization_type;
       }
-
-      caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
-                net_params[param_id]->cpu_diff(), momentum,
-                history_[param_id]->mutable_cpu_data());
-      // copy
-      caffe_copy(net_params[param_id]->count(),
-          history_[param_id]->cpu_data(),
-          net_params[param_id]->mutable_cpu_diff());
     }
     break;
-  case Caffe::GPU:
+  }
+  case Caffe::GPU: {
 #ifndef CPU_ONLY
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      // Compute the value to history, and then copy them to the blob's diff.
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_gpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->gpu_data(),
-              temp_[param_id]->mutable_gpu_data());
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              temp_[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
+    if (local_decay) {
+      if (regularization_type == "L2") {
+        // add weight decay
+        caffe_gpu_axpy(net_params[param_id]->count(),
+            local_decay,
+            net_params[param_id]->gpu_data(),
+            net_params[param_id]->mutable_gpu_diff());
+      } else if (regularization_type == "L1") {
+        caffe_gpu_sign(net_params[param_id]->count(),
+            net_params[param_id]->gpu_data(),
+            temp_[param_id]->mutable_gpu_data());
+        caffe_gpu_axpy(net_params[param_id]->count(),
+            local_decay,
+            temp_[param_id]->gpu_data(),
+            net_params[param_id]->mutable_gpu_diff());
+      } else {
+        LOG(FATAL) << "Unknown regularization type: " << regularization_type;
       }
-
-      caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
-                net_params[param_id]->gpu_diff(), momentum,
-                history_[param_id]->mutable_gpu_data());
-      // copy
-      caffe_copy(net_params[param_id]->count(),
-          history_[param_id]->gpu_data(),
-          net_params[param_id]->mutable_gpu_diff());
     }
 #else
     NO_GPU;
 #endif
     break;
+  }
+  default:
+    LOG(FATAL) << "Unknown caffe mode: " << Caffe::mode();
+  }
+}
+
+template <typename Dtype>
+void SGDSolver<Dtype>::ComputeUpdateValue(int param_id, Dtype rate) {
+  const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
+  const vector<float>& net_params_lr = this->net_->params_lr();
+  Dtype momentum = this->param_.momentum();
+  Dtype local_rate = rate * net_params_lr[param_id];
+  // Compute the update to history, then copy it to the parameter diff.
+  switch (Caffe::mode()) {
+  case Caffe::CPU: {
+    caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
+              net_params[param_id]->cpu_diff(), momentum,
+              history_[param_id]->mutable_cpu_data());
+    caffe_copy(net_params[param_id]->count(),
+        history_[param_id]->cpu_data(),
+        net_params[param_id]->mutable_cpu_diff());
+    break;
+  }
+  case Caffe::GPU: {
+#ifndef CPU_ONLY
+    caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
+              net_params[param_id]->gpu_diff(), momentum,
+              history_[param_id]->mutable_gpu_data());
+    caffe_copy(net_params[param_id]->count(),
+        history_[param_id]->gpu_data(),
+        net_params[param_id]->mutable_gpu_diff());
+#else
+    NO_GPU;
+#endif
+    break;
+  }
   default:
     LOG(FATAL) << "Unknown caffe mode: " << Caffe::mode();
   }
@@ -571,252 +638,138 @@ void SGDSolver<Dtype>::RestoreSolverState(const SolverState& state) {
 }
 
 template <typename Dtype>
-void NesterovSolver<Dtype>::ComputeUpdateValue() {
+void NesterovSolver<Dtype>::ComputeUpdateValue(int param_id, Dtype rate) {
   const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
   const vector<float>& net_params_lr = this->net_->params_lr();
-  const vector<float>& net_params_weight_decay =
-      this->net_->params_weight_decay();
-  // get the learning rate
-  Dtype rate = this->GetLearningRate();
-  if (this->param_.display() && this->iter_ % this->param_.display() == 0) {
-    LOG(INFO) << "Iteration " << this->iter_ << ", lr = " << rate;
-  }
-  SGDSolver<Dtype>::ClipGradients();
   Dtype momentum = this->param_.momentum();
-  Dtype weight_decay = this->param_.weight_decay();
-  string regularization_type = this->param_.regularization_type();
+  Dtype local_rate = rate * net_params_lr[param_id];
   switch (Caffe::mode()) {
-  case Caffe::CPU:
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      // save history momentum for stepping back
-      caffe_copy(net_params[param_id]->count(),
-          this->history_[param_id]->cpu_data(),
-          this->update_[param_id]->mutable_cpu_data());
-
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_cpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->cpu_data(),
-              this->temp_[param_id]->mutable_cpu_data());
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              this->temp_[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
-      }
-
-      // update history
-      caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
-                net_params[param_id]->cpu_diff(), momentum,
-                this->history_[param_id]->mutable_cpu_data());
-
-      // compute udpate: step back then over step
-      caffe_cpu_axpby(net_params[param_id]->count(), Dtype(1) + momentum,
-          this->history_[param_id]->cpu_data(), -momentum,
-          this->update_[param_id]->mutable_cpu_data());
-
-      // copy
-      caffe_copy(net_params[param_id]->count(),
-          this->update_[param_id]->cpu_data(),
-          net_params[param_id]->mutable_cpu_diff());
-    }
+  case Caffe::CPU: {
+    // save history momentum for stepping back
+    caffe_copy(net_params[param_id]->count(),
+        this->history_[param_id]->cpu_data(),
+        this->update_[param_id]->mutable_cpu_data());
+
+    // update history
+    caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
+              net_params[param_id]->cpu_diff(), momentum,
+              this->history_[param_id]->mutable_cpu_data());
+
+    // compute update: step back then over step
+    caffe_cpu_axpby(net_params[param_id]->count(), Dtype(1) + momentum,
+        this->history_[param_id]->cpu_data(), -momentum,
+        this->update_[param_id]->mutable_cpu_data());
+
+    // copy
+    caffe_copy(net_params[param_id]->count(),
+        this->update_[param_id]->cpu_data(),
+        net_params[param_id]->mutable_cpu_diff());
     break;
-  case Caffe::GPU:
+  }
+  case Caffe::GPU: {
 #ifndef CPU_ONLY
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      // save history momentum for stepping back
-      caffe_copy(net_params[param_id]->count(),
-          this->history_[param_id]->gpu_data(),
-          this->update_[param_id]->mutable_gpu_data());
-
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_gpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->gpu_data(),
-              this->temp_[param_id]->mutable_gpu_data());
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              this->temp_[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
-      }
-
-      // update history
-      caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
-                net_params[param_id]->gpu_diff(), momentum,
-                this->history_[param_id]->mutable_gpu_data());
-
-      // compute udpate: step back then over step
-      caffe_gpu_axpby(net_params[param_id]->count(), Dtype(1) + momentum,
-          this->history_[param_id]->gpu_data(), -momentum,
-          this->update_[param_id]->mutable_gpu_data());
-
-      // copy
-      caffe_copy(net_params[param_id]->count(),
-          this->update_[param_id]->gpu_data(),
-          net_params[param_id]->mutable_gpu_diff());
-    }
+    // save history momentum for stepping back
+    caffe_copy(net_params[param_id]->count(),
+        this->history_[param_id]->gpu_data(),
+        this->update_[param_id]->mutable_gpu_data());
+
+    // update history
+    caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
+              net_params[param_id]->gpu_diff(), momentum,
+              this->history_[param_id]->mutable_gpu_data());
+
+    // compute update: step back then over step
+    caffe_gpu_axpby(net_params[param_id]->count(), Dtype(1) + momentum,
+        this->history_[param_id]->gpu_data(), -momentum,
+        this->update_[param_id]->mutable_gpu_data());
+
+    // copy
+    caffe_copy(net_params[param_id]->count(),
+        this->update_[param_id]->gpu_data(),
+        net_params[param_id]->mutable_gpu_diff());
 #else
     NO_GPU;
 #endif
     break;
+  }
   default:
     LOG(FATAL) << "Unknown caffe mode: " << Caffe::mode();
   }
 }
 
 template <typename Dtype>
-void AdaGradSolver<Dtype>::ComputeUpdateValue() {
+void AdaGradSolver<Dtype>::ComputeUpdateValue(int param_id, Dtype rate) {
   const vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params();
   const vector<float>& net_params_lr = this->net_->params_lr();
-  const vector<float>& net_params_weight_decay =
-      this->net_->params_weight_decay();
-  // get the learning rate
-  Dtype rate = this->GetLearningRate();
   Dtype delta = this->param_.delta();
-  if (this->param_.display() && this->iter_ % this->param_.display() == 0) {
-    LOG(INFO) << "Iteration " << this->iter_ << ", lr = " << rate;
-  }
-  SGDSolver<Dtype>::ClipGradients();
-  Dtype weight_decay = this->param_.weight_decay();
-  string regularization_type = this->param_.regularization_type();
+  Dtype local_rate = rate * net_params_lr[param_id];
   switch (Caffe::mode()) {
-  case Caffe::CPU:
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_cpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->cpu_data(),
-              this->temp_[param_id]->mutable_cpu_data());
-          caffe_axpy(net_params[param_id]->count(),
-              local_decay,
-              this->temp_[param_id]->cpu_data(),
-              net_params[param_id]->mutable_cpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
-      }
-
-      // compute square of gradient in update
-      caffe_powx(net_params[param_id]->count(),
-          net_params[param_id]->cpu_diff(), Dtype(2),
-          this->update_[param_id]->mutable_cpu_data());
-
-      // update history
-      caffe_add(net_params[param_id]->count(),
-          this->update_[param_id]->cpu_data(),
-          this->history_[param_id]->cpu_data(),
-          this->history_[param_id]->mutable_cpu_data());
-
-      // prepare update
-      caffe_powx(net_params[param_id]->count(),
-                this->history_[param_id]->cpu_data(), Dtype(0.5),
-                this->update_[param_id]->mutable_cpu_data());
-
-      caffe_add_scalar(net_params[param_id]->count(),
-                delta, this->update_[param_id]->mutable_cpu_data());
-
-      caffe_div(net_params[param_id]->count(),
-                net_params[param_id]->cpu_diff(),
-                this->update_[param_id]->cpu_data(),
-                this->update_[param_id]->mutable_cpu_data());
-
-      // scale and copy
-      caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
-          this->update_[param_id]->cpu_data(), Dtype(0),
-          net_params[param_id]->mutable_cpu_diff());
-    }
+  case Caffe::CPU: {
+    // compute square of gradient in update
+    caffe_powx(net_params[param_id]->count(),
+        net_params[param_id]->cpu_diff(), Dtype(2),
+        this->update_[param_id]->mutable_cpu_data());
+
+    // update history
+    caffe_add(net_params[param_id]->count(),
+        this->update_[param_id]->cpu_data(),
+        this->history_[param_id]->cpu_data(),
+        this->history_[param_id]->mutable_cpu_data());
+
+    // prepare update
+    caffe_powx(net_params[param_id]->count(),
+              this->history_[param_id]->cpu_data(), Dtype(0.5),
+              this->update_[param_id]->mutable_cpu_data());
+
+    caffe_add_scalar(net_params[param_id]->count(),
+              delta, this->update_[param_id]->mutable_cpu_data());
+
+    caffe_div(net_params[param_id]->count(),
+              net_params[param_id]->cpu_diff(),
+              this->update_[param_id]->cpu_data(),
+              this->update_[param_id]->mutable_cpu_data());
+
+    // scale and copy
+    caffe_cpu_axpby(net_params[param_id]->count(), local_rate,
+        this->update_[param_id]->cpu_data(), Dtype(0),
+        net_params[param_id]->mutable_cpu_diff());
     break;
-  case Caffe::GPU:
+  }
+  case Caffe::GPU: {
 #ifndef CPU_ONLY
-    for (int param_id = 0; param_id < net_params.size(); ++param_id) {
-      Dtype local_rate = rate * net_params_lr[param_id];
-      Dtype local_decay = weight_decay * net_params_weight_decay[param_id];
-
-      if (local_decay) {
-        if (regularization_type == "L2") {
-          // add weight decay
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              net_params[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else if (regularization_type == "L1") {
-          caffe_gpu_sign(net_params[param_id]->count(),
-              net_params[param_id]->gpu_data(),
-              this->temp_[param_id]->mutable_gpu_data());
-          caffe_gpu_axpy(net_params[param_id]->count(),
-              local_decay,
-              this->temp_[param_id]->gpu_data(),
-              net_params[param_id]->mutable_gpu_diff());
-        } else {
-          LOG(FATAL) << "Unknown regularization type: " << regularization_type;
-        }
-      }
-
-      // compute square of gradient in update
-      caffe_gpu_powx(net_params[param_id]->count(),
-          net_params[param_id]->gpu_diff(), Dtype(2),
-          this->update_[param_id]->mutable_gpu_data());
-
-      // update history
-      caffe_gpu_add(net_params[param_id]->count(),
-          this->update_[param_id]->gpu_data(),
-          this->history_[param_id]->gpu_data(),
-          this->history_[param_id]->mutable_gpu_data());
-
-      // prepare update
-      caffe_gpu_powx(net_params[param_id]->count(),
-                this->history_[param_id]->gpu_data(), Dtype(0.5),
-                this->update_[param_id]->mutable_gpu_data());
-
-      caffe_gpu_add_scalar(net_params[param_id]->count(),
-                delta, this->update_[param_id]->mutable_gpu_data());
-
-      caffe_gpu_div(net_params[param_id]->count(),
-                net_params[param_id]->gpu_diff(),
-                this->update_[param_id]->gpu_data(),
-                this->update_[param_id]->mutable_gpu_data());
-
-      // scale and copy
-      caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
-          this->update_[param_id]->gpu_data(), Dtype(0),
-          net_params[param_id]->mutable_gpu_diff());
-    }
+    // compute square of gradient in update
+    caffe_gpu_powx(net_params[param_id]->count(),
+        net_params[param_id]->gpu_diff(), Dtype(2),
+        this->update_[param_id]->mutable_gpu_data());
+
+    // update history
+    caffe_gpu_add(net_params[param_id]->count(),
+        this->update_[param_id]->gpu_data(),
+        this->history_[param_id]->gpu_data(),
+        this->history_[param_id]->mutable_gpu_data());
+
+    // prepare update
+    caffe_gpu_powx(net_params[param_id]->count(),
+              this->history_[param_id]->gpu_data(), Dtype(0.5),
+              this->update_[param_id]->mutable_gpu_data());
+
+    caffe_gpu_add_scalar(net_params[param_id]->count(),
+              delta, this->update_[param_id]->mutable_gpu_data());
+
+    caffe_gpu_div(net_params[param_id]->count(),
+              net_params[param_id]->gpu_diff(),
+              this->update_[param_id]->gpu_data(),
+              this->update_[param_id]->mutable_gpu_data());
+
+    // scale and copy
+    caffe_gpu_axpby(net_params[param_id]->count(), local_rate,
+        this->update_[param_id]->gpu_data(), Dtype(0),
+        net_params[param_id]->mutable_gpu_diff());
 #else
     NO_GPU;
 #endif
     break;
+  }
   default:
     LOG(FATAL) << "Unknown caffe mode: " << Caffe::mode();
   }
index 6cbf51d..c14b67c 100644 (file)
@@ -16,7 +16,7 @@
 namespace caffe {
 
 template <typename Dtype>
-class AccuracyLayerTest : public ::testing::Test {
+class AccuracyLayerTest : public CPUDeviceTest<Dtype> {
  protected:
   AccuracyLayerTest()
       : blob_bottom_data_(new Blob<Dtype>()),
@@ -92,7 +92,6 @@ TYPED_TEST(AccuracyLayerTest, TestSetupTopK) {
 
 TYPED_TEST(AccuracyLayerTest, TestForwardCPU) {
   LayerParameter layer_param;
-  Caffe::set_mode(Caffe::CPU);
   AccuracyLayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
   layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
@@ -118,7 +117,6 @@ TYPED_TEST(AccuracyLayerTest, TestForwardCPU) {
 }
 
 TYPED_TEST(AccuracyLayerTest, TestForwardWithSpatialAxes) {
-  Caffe::set_mode(Caffe::CPU);
   this->blob_bottom_data_->Reshape(2, 10, 4, 5);
   vector<int> label_shape(3);
   label_shape[0] = 2; label_shape[1] = 4; label_shape[2] = 5;
@@ -162,7 +160,6 @@ TYPED_TEST(AccuracyLayerTest, TestForwardWithSpatialAxes) {
 }
 
 TYPED_TEST(AccuracyLayerTest, TestForwardIgnoreLabel) {
-  Caffe::set_mode(Caffe::CPU);
   LayerParameter layer_param;
   const TypeParam kIgnoreLabelValue = -1;
   layer_param.mutable_accuracy_param()->set_ignore_label(kIgnoreLabelValue);
index 3487d42..895c3d3 100644 (file)
 namespace caffe {
 
 template <typename Dtype>
-class ArgMaxLayerTest : public ::testing::Test {
+class ArgMaxLayerTest : public CPUDeviceTest<Dtype> {
  protected:
   ArgMaxLayerTest()
       : blob_bottom_(new Blob<Dtype>(10, 20, 1, 1)),
         blob_top_(new Blob<Dtype>()),
         top_k_(5) {
-    Caffe::set_mode(Caffe::CPU);
     Caffe::set_random_seed(1701);
     // fill the values
     FillerParameter filler_param;
index c1fe3b5..67d41ff 100644 (file)
@@ -424,7 +424,7 @@ TYPED_TEST(ConvolutionLayerTest, TestGradientGroup) {
 #ifdef USE_CUDNN
 
 template <typename Dtype>
-class CuDNNConvolutionLayerTest : public ::testing::Test {
+class CuDNNConvolutionLayerTest : public GPUDeviceTest<Dtype> {
  protected:
   CuDNNConvolutionLayerTest()
       : blob_bottom_(new Blob<Dtype>(2, 3, 6, 4)),
@@ -467,7 +467,6 @@ class CuDNNConvolutionLayerTest : public ::testing::Test {
 TYPED_TEST_CASE(CuDNNConvolutionLayerTest, TestDtypes);
 
 TYPED_TEST(CuDNNConvolutionLayerTest, TestSetupCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   this->blob_bottom_vec_.push_back(this->blob_bottom_2_);
   this->blob_top_vec_.push_back(this->blob_top_2_);
   LayerParameter layer_param;
@@ -505,7 +504,6 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestSetupCuDNN) {
 }
 
 TYPED_TEST(CuDNNConvolutionLayerTest, TestSimpleConvolutionCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   this->blob_bottom_vec_.push_back(this->blob_bottom_2_);
   this->blob_top_vec_.push_back(this->blob_top_2_);
   LayerParameter layer_param;
@@ -541,7 +539,6 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestSimpleConvolutionCuDNN) {
 }
 
 TYPED_TEST(CuDNNConvolutionLayerTest, TestSimpleConvolutionGroupCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   ConvolutionParameter* convolution_param =
       layer_param.mutable_convolution_param();
@@ -572,7 +569,7 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestSobelConvolutionCuDNN) {
   // Test separable convolution by computing the Sobel operator
   // as a single filter then comparing the result
   // as the convolution of two rectangular filters.
-  Caffe::set_mode(Caffe::GPU);
+
   // Fill bottoms with identical Gaussian noise.
   shared_ptr<GaussianFiller<TypeParam> > filler;
   FillerParameter filler_param;
@@ -665,7 +662,6 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestSobelConvolutionCuDNN) {
 }
 
 TYPED_TEST(CuDNNConvolutionLayerTest, TestGradientCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   ConvolutionParameter* convolution_param =
       layer_param.mutable_convolution_param();
@@ -683,7 +679,6 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestGradientCuDNN) {
 }
 
 TYPED_TEST(CuDNNConvolutionLayerTest, TestGradientGroupCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   ConvolutionParameter* convolution_param =
       layer_param.mutable_convolution_param();
index 9954835..c9ed38d 100644 (file)
@@ -13,7 +13,7 @@
 namespace caffe {
 
 template <typename Dtype>
-class DummyDataLayerTest : public ::testing::Test {
+class DummyDataLayerTest : public CPUDeviceTest<Dtype> {
  protected:
   DummyDataLayerTest()
       : blob_top_a_(new Blob<Dtype>()),
@@ -44,7 +44,6 @@ class DummyDataLayerTest : public ::testing::Test {
 TYPED_TEST_CASE(DummyDataLayerTest, TestDtypes);
 
 TYPED_TEST(DummyDataLayerTest, TestOneTopConstant) {
-  Caffe::set_mode(Caffe::CPU);
   LayerParameter param;
   DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
   dummy_data_param->add_num(5);
@@ -74,7 +73,6 @@ TYPED_TEST(DummyDataLayerTest, TestOneTopConstant) {
 }
 
 TYPED_TEST(DummyDataLayerTest, TestTwoTopConstant) {
-  Caffe::set_mode(Caffe::CPU);
   LayerParameter param;
   DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
   dummy_data_param->add_num(5);
@@ -113,7 +111,6 @@ TYPED_TEST(DummyDataLayerTest, TestTwoTopConstant) {
 }
 
 TYPED_TEST(DummyDataLayerTest, TestThreeTopConstantGaussianConstant) {
-  Caffe::set_mode(Caffe::CPU);
   LayerParameter param;
   DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
   dummy_data_param->add_num(5);
index e04b0fd..728b8dc 100644 (file)
@@ -142,4 +142,102 @@ TYPED_TEST(GaussianFillerTest, TestFill) {
   EXPECT_LE(var, target_var * 5.);
 }
 
+template <typename Dtype>
+class XavierFillerTest : public ::testing::Test {
+ protected:
+  XavierFillerTest()
+      : blob_(new Blob<Dtype>(1000, 2, 4, 5)),
+        filler_param_() {
+  }
+  virtual void test_params(FillerParameter_VarianceNorm variance_norm,
+      Dtype n) {
+    this->filler_param_.set_variance_norm(variance_norm);
+    this->filler_.reset(new XavierFiller<Dtype>(this->filler_param_));
+    this->filler_->Fill(blob_);
+    EXPECT_TRUE(this->blob_);
+    const int count = this->blob_->count();
+    const Dtype* data = this->blob_->cpu_data();
+    Dtype mean = 0.;
+    Dtype ex2 = 0.;
+    for (int i = 0; i < count; ++i) {
+      mean += data[i];
+      ex2 += data[i] * data[i];
+    }
+    mean /= count;
+    ex2 /= count;
+    Dtype std = sqrt(ex2 - mean*mean);
+    Dtype target_std = sqrt(2.0 / n);
+    EXPECT_NEAR(mean, 0.0, 0.1);
+    EXPECT_NEAR(std, target_std, 0.1);
+  }
+  virtual ~XavierFillerTest() { delete blob_; }
+  Blob<Dtype>* const blob_;
+  FillerParameter filler_param_;
+  shared_ptr<XavierFiller<Dtype> > filler_;
+};
+
+TYPED_TEST_CASE(XavierFillerTest, TestDtypes);
+
+TYPED_TEST(XavierFillerTest, TestFillFanIn) {
+  TypeParam n = 2*4*5;
+  this->test_params(FillerParameter_VarianceNorm_FAN_IN, n);
+}
+TYPED_TEST(XavierFillerTest, TestFillFanOut) {
+  TypeParam n = 1000*4*5;
+  this->test_params(FillerParameter_VarianceNorm_FAN_OUT, n);
+}
+TYPED_TEST(XavierFillerTest, TestFillAverage) {
+  TypeParam n = (2*4*5 + 1000*4*5) / 2.0;
+  this->test_params(FillerParameter_VarianceNorm_AVERAGE, n);
+}
+
+template <typename Dtype>
+class MSRAFillerTest : public ::testing::Test {
+ protected:
+  MSRAFillerTest()
+      : blob_(new Blob<Dtype>(1000, 2, 4, 5)),
+        filler_param_() {
+  }
+  virtual void test_params(FillerParameter_VarianceNorm variance_norm,
+      Dtype n) {
+    this->filler_param_.set_variance_norm(variance_norm);
+    this->filler_.reset(new MSRAFiller<Dtype>(this->filler_param_));
+    this->filler_->Fill(blob_);
+    EXPECT_TRUE(this->blob_);
+    const int count = this->blob_->count();
+    const Dtype* data = this->blob_->cpu_data();
+    Dtype mean = 0.;
+    Dtype ex2 = 0.;
+    for (int i = 0; i < count; ++i) {
+      mean += data[i];
+      ex2 += data[i] * data[i];
+    }
+    mean /= count;
+    ex2 /= count;
+    Dtype std = sqrt(ex2 - mean*mean);
+    Dtype target_std = sqrt(2.0 / n);
+    EXPECT_NEAR(mean, 0.0, 0.1);
+    EXPECT_NEAR(std, target_std, 0.1);
+  }
+  virtual ~MSRAFillerTest() { delete blob_; }
+  Blob<Dtype>* const blob_;
+  FillerParameter filler_param_;
+  shared_ptr<MSRAFiller<Dtype> > filler_;
+};
+
+TYPED_TEST_CASE(MSRAFillerTest, TestDtypes);
+
+TYPED_TEST(MSRAFillerTest, TestFillFanIn) {
+  TypeParam n = 2*4*5;
+  this->test_params(FillerParameter_VarianceNorm_FAN_IN, n);
+}
+TYPED_TEST(MSRAFillerTest, TestFillFanOut) {
+  TypeParam n = 1000*4*5;
+  this->test_params(FillerParameter_VarianceNorm_FAN_OUT, n);
+}
+TYPED_TEST(MSRAFillerTest, TestFillAverage) {
+  TypeParam n = (2*4*5 + 1000*4*5) / 2.0;
+  this->test_params(FillerParameter_VarianceNorm_AVERAGE, n);
+}
+
 }  // namespace caffe
index eb2569c..c9135d6 100644 (file)
@@ -23,7 +23,7 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
 
  protected:
   GradientBasedSolverTest() :
-      seed_(1701), num_(5), channels_(3), height_(10), width_(10) {}
+      seed_(1701), num_(4), channels_(3), height_(10), width_(10) {}
 
   shared_ptr<SGDSolver<Dtype> > solver_;
   int seed_;
@@ -56,19 +56,21 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
   }
 
   void RunLeastSquaresSolver(const Dtype learning_rate,
-      const Dtype weight_decay, const Dtype momentum, const int num_iters) {
+      const Dtype weight_decay, const Dtype momentum, const int num_iters,
+      const int iter_size = 1) {
     ostringstream proto;
     proto <<
        "max_iter: " << num_iters << " "
        "base_lr: " << learning_rate << " "
        "lr_policy: 'fixed' "
+       "iter_size: " << iter_size << " "
        "net_param { "
        "  name: 'TestNetwork' "
        "  layer { "
        "    name: 'data' "
        "    type: 'DummyData' "
        "    dummy_data_param { "
-       "      num: " << num_ << " "
+       "      num: " << num_ / iter_size << " "
        "      channels: " << channels_ << " "
        "      height: " << height_ << " "
        "      width: " << width_ << " "
@@ -76,6 +78,10 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
        "      height: 1 "
        "      width: 1 "
        "      data_filler { "
+       "        type: 'constant' "
+       "        value: 1.0 "
+       "      } "
+       "      data_filler { "
        "        type: 'gaussian' "
        "        std: 1.0 "
        "      } "
@@ -270,6 +276,45 @@ class GradientBasedSolverTest : public MultiDeviceTest<TypeParam> {
     }
   }
 
+  void CheckAccumulation(const Dtype kLearningRate, const Dtype kWeightDecay,
+      const Dtype kMomentum, const int kNumIters, const int kIterSize) {
+    const double kPrecision = 1e-2;
+    const double kMinPrecision = 1e-7;
+    // Solve without accumulation and save parameters.
+    this->RunLeastSquaresSolver(kLearningRate, kWeightDecay, kMomentum,
+        kNumIters);
+    // Save parameters for comparison.
+    Net<Dtype>& net = *this->solver_->net();
+    const vector<shared_ptr<Blob<Dtype> > >& param_blobs =
+        net.layer_by_name("innerprod")->blobs();
+    vector<shared_ptr<Blob<Dtype> > > noaccum_params(param_blobs.size());
+    for (int i = 0; i < param_blobs.size(); ++i) {
+      noaccum_params[i].reset(new Blob<Dtype>());
+      noaccum_params[i]->CopyFrom(*param_blobs[i], false, true);
+    }
+    // Solve by equivalent accumulation of gradients over divided batches.
+    this->RunLeastSquaresSolver(kLearningRate, kWeightDecay, kMomentum,
+        kNumIters, kIterSize);
+    Net<Dtype>& net_accum = *this->solver_->net();
+    const vector<shared_ptr<Blob<Dtype> > >& accum_params =
+        net_accum.layer_by_name("innerprod")->blobs();
+    // Compare accumulated parameters against no accumulation standard.
+    const int D = this->channels_ * this->height_ * this->width_;
+    for (int i = 0; i < D; ++i) {
+      const Dtype expected_param = noaccum_params[0]->cpu_data()[i];
+      const Dtype accum_param = accum_params[0]->cpu_data()[i];
+      const Dtype error_margin = std::max(kMinPrecision, kPrecision *
+          std::min(fabs(expected_param), fabs(accum_param)));
+      EXPECT_NEAR(expected_param, accum_param, error_margin);
+    }
+    ASSERT_EQ(1, accum_params[1]->count());
+    const Dtype expected_bias = noaccum_params[1]->cpu_data()[0];
+    const Dtype accum_bias = accum_params[1]->cpu_data()[0];
+    const Dtype error_margin = std::max(kMinPrecision, kPrecision *
+        std::min(fabs(expected_bias), fabs(accum_bias)));
+    EXPECT_NEAR(expected_bias, accum_bias, error_margin);
+  }
+
   // Test that the correct update is computed for a regularized least squares
   // problem:
   //
@@ -372,6 +417,16 @@ TYPED_TEST(SGDSolverTest, TestLeastSquaresUpdateWithEverything) {
   }
 }
 
+TYPED_TEST(SGDSolverTest, TestLeastSquaresUpdateWithEverythingAccum) {
+  typedef typename TypeParam::Dtype Dtype;
+  const Dtype kLearningRate = 0.01;
+  const Dtype kWeightDecay = 0.1;
+  const Dtype kMomentum = 0.9;
+  const int kNumIters = 4;
+  const int kIterSize = 2;
+  this->CheckAccumulation(kLearningRate, kWeightDecay, kMomentum, kNumIters,
+      kIterSize);
+}
 
 template <typename TypeParam>
 class AdaGradSolverTest : public GradientBasedSolverTest<TypeParam> {
@@ -416,6 +471,16 @@ TYPED_TEST(AdaGradSolverTest, TestAdaGradLeastSquaresUpdateWithEverything) {
   }
 }
 
+TYPED_TEST(AdaGradSolverTest, TestLeastSquaresUpdateWithEverythingAccum) {
+  typedef typename TypeParam::Dtype Dtype;
+  const Dtype kLearningRate = 0.01;
+  const Dtype kWeightDecay = 0.1;
+  const Dtype kMomentum = 0.0;
+  const int kNumIters = 4;
+  const int kIterSize = 2;
+  this->CheckAccumulation(kLearningRate, kWeightDecay, kMomentum, kNumIters,
+      kIterSize);
+}
 
 template <typename TypeParam>
 class NesterovSolverTest : public GradientBasedSolverTest<TypeParam> {
@@ -482,4 +547,15 @@ TYPED_TEST(NesterovSolverTest, TestNesterovLeastSquaresUpdateWithEverything) {
   }
 }
 
+TYPED_TEST(NesterovSolverTest, TestLeastSquaresUpdateWithEverythingAccum) {
+  typedef typename TypeParam::Dtype Dtype;
+  const Dtype kLearningRate = 0.01;
+  const Dtype kWeightDecay = 0.1;
+  const Dtype kMomentum = 0.9;
+  const int kNumIters = 4;
+  const int kIterSize = 2;
+  this->CheckAccumulation(kLearningRate, kWeightDecay, kMomentum, kNumIters,
+      kIterSize);
+}
+
 }  // namespace caffe
index ee684c0..0017ac2 100644 (file)
@@ -25,7 +25,7 @@ __global__ void im2col_gpu_kernel(const int n, const Dtype* data_im,
 extern cudaDeviceProp CAFFE_TEST_CUDA_PROP;
 
 template <typename Dtype>
-class Im2colKernelTest : public ::testing::Test {
+class Im2colKernelTest : public GPUDeviceTest<Dtype> {
  protected:
   Im2colKernelTest()
         // big so launches > 1024 threads
@@ -68,8 +68,6 @@ class Im2colKernelTest : public ::testing::Test {
 TYPED_TEST_CASE(Im2colKernelTest, TestDtypes);
 
 TYPED_TEST(Im2colKernelTest, TestGPU) {
-  Caffe::set_mode(Caffe::GPU);
-
   // Reshape the blobs to correct size for im2col output
   this->blob_top_->Reshape(this->blob_bottom_->num(),
           this->channels_ * this->kernel_size_ * this->kernel_size_,
index 667f744..a095b54 100644 (file)
 
 namespace caffe {
 
-template<typename Dtype>
-class MathFunctionsTest : public ::testing::Test {
+template <typename TypeParam>
+class MathFunctionsTest : public MultiDeviceTest<TypeParam> {
+  typedef typename TypeParam::Dtype Dtype;
+
  protected:
   MathFunctionsTest()
       : blob_bottom_(new Blob<Dtype>()),
@@ -64,14 +66,19 @@ class MathFunctionsTest : public ::testing::Test {
   Blob<Dtype>* const blob_top_;
 };
 
-TYPED_TEST_CASE(MathFunctionsTest, TestDtypes);
+template <typename Dtype>
+class CPUMathFunctionsTest
+  : public MathFunctionsTest<CPUDevice<Dtype> > {
+};
+
+TYPED_TEST_CASE(CPUMathFunctionsTest, TestDtypes);
 
-TYPED_TEST(MathFunctionsTest, TestNothing) {
+TYPED_TEST(CPUMathFunctionsTest, TestNothing) {
   // The first test case of a test suite takes the longest time
   //   due to the set up overhead.
 }
 
-TYPED_TEST(MathFunctionsTest, TestHammingDistanceCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestHammingDistance) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   const TypeParam* y = this->blob_top_->cpu_data();
@@ -79,7 +86,7 @@ TYPED_TEST(MathFunctionsTest, TestHammingDistanceCPU) {
             caffe_cpu_hamming_distance<TypeParam>(n, x, y));
 }
 
-TYPED_TEST(MathFunctionsTest, TestAsumCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestAsum) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   TypeParam std_asum = 0;
@@ -90,7 +97,7 @@ TYPED_TEST(MathFunctionsTest, TestAsumCPU) {
   EXPECT_LT((cpu_asum - std_asum) / std_asum, 1e-2);
 }
 
-TYPED_TEST(MathFunctionsTest, TestSignCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestSign) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   caffe_cpu_sign<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
@@ -100,7 +107,7 @@ TYPED_TEST(MathFunctionsTest, TestSignCPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestSgnbitCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestSgnbit) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   caffe_cpu_sgnbit<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
@@ -110,7 +117,7 @@ TYPED_TEST(MathFunctionsTest, TestSgnbitCPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestFabsCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestFabs) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   caffe_abs<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
@@ -120,7 +127,7 @@ TYPED_TEST(MathFunctionsTest, TestFabsCPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestScaleCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestScale) {
   int n = this->blob_bottom_->count();
   TypeParam alpha = this->blob_bottom_->cpu_diff()[caffe_rng_rand() %
                                                    this->blob_bottom_->count()];
@@ -133,11 +140,10 @@ TYPED_TEST(MathFunctionsTest, TestScaleCPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestCopyCPU) {
+TYPED_TEST(CPUMathFunctionsTest, TestCopy) {
   const int n = this->blob_bottom_->count();
   const TypeParam* bottom_data = this->blob_bottom_->cpu_data();
   TypeParam* top_data = this->blob_top_->mutable_cpu_data();
-  Caffe::set_mode(Caffe::CPU);
   caffe_copy(n, bottom_data, top_data);
   for (int i = 0; i < n; ++i) {
     EXPECT_EQ(bottom_data[i], top_data[i]);
@@ -146,8 +152,14 @@ TYPED_TEST(MathFunctionsTest, TestCopyCPU) {
 
 #ifndef CPU_ONLY
 
+template <typename Dtype>
+class GPUMathFunctionsTest : public MathFunctionsTest<GPUDevice<Dtype> > {
+};
+
+TYPED_TEST_CASE(GPUMathFunctionsTest, TestDtypes);
+
 // TODO: Fix caffe_gpu_hamming_distance and re-enable this test.
-TYPED_TEST(MathFunctionsTest, DISABLED_TestHammingDistanceGPU) {
+TYPED_TEST(GPUMathFunctionsTest, DISABLED_TestHammingDistance) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   const TypeParam* y = this->blob_top_->cpu_data();
@@ -158,7 +170,7 @@ TYPED_TEST(MathFunctionsTest, DISABLED_TestHammingDistanceGPU) {
   EXPECT_EQ(reference_distance, computed_distance);
 }
 
-TYPED_TEST(MathFunctionsTest, TestAsumGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestAsum) {
   int n = this->blob_bottom_->count();
   const TypeParam* x = this->blob_bottom_->cpu_data();
   TypeParam std_asum = 0;
@@ -170,7 +182,7 @@ TYPED_TEST(MathFunctionsTest, TestAsumGPU) {
   EXPECT_LT((gpu_asum - std_asum) / std_asum, 1e-2);
 }
 
-TYPED_TEST(MathFunctionsTest, TestSignGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestSign) {
   int n = this->blob_bottom_->count();
   caffe_gpu_sign<TypeParam>(n, this->blob_bottom_->gpu_data(),
                             this->blob_bottom_->mutable_gpu_diff());
@@ -181,7 +193,7 @@ TYPED_TEST(MathFunctionsTest, TestSignGPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestSgnbitGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestSgnbit) {
   int n = this->blob_bottom_->count();
   caffe_gpu_sgnbit<TypeParam>(n, this->blob_bottom_->gpu_data(),
                             this->blob_bottom_->mutable_gpu_diff());
@@ -192,7 +204,7 @@ TYPED_TEST(MathFunctionsTest, TestSgnbitGPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestFabsGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestFabs) {
   int n = this->blob_bottom_->count();
   caffe_gpu_abs<TypeParam>(n, this->blob_bottom_->gpu_data(),
                             this->blob_bottom_->mutable_gpu_diff());
@@ -203,7 +215,7 @@ TYPED_TEST(MathFunctionsTest, TestFabsGPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestScaleGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestScale) {
   int n = this->blob_bottom_->count();
   TypeParam alpha = this->blob_bottom_->cpu_diff()[caffe_rng_rand() %
                                                    this->blob_bottom_->count()];
@@ -216,11 +228,10 @@ TYPED_TEST(MathFunctionsTest, TestScaleGPU) {
   }
 }
 
-TYPED_TEST(MathFunctionsTest, TestCopyGPU) {
+TYPED_TEST(GPUMathFunctionsTest, TestCopy) {
   const int n = this->blob_bottom_->count();
   const TypeParam* bottom_data = this->blob_bottom_->gpu_data();
   TypeParam* top_data = this->blob_top_->mutable_gpu_data();
-  Caffe::set_mode(Caffe::GPU);
   caffe_copy(n, bottom_data, top_data);
   bottom_data = this->blob_bottom_->cpu_data();
   top_data = this->blob_top_->mutable_cpu_data();
index 9038017..b2db984 100644 (file)
@@ -16,7 +16,7 @@
 namespace caffe {
 
 template <typename Dtype>
-class MultinomialLogisticLossLayerTest : public ::testing::Test {
+class MultinomialLogisticLossLayerTest : public CPUDeviceTest<Dtype> {
  protected:
   MultinomialLogisticLossLayerTest()
       : blob_bottom_data_(new Blob<Dtype>(10, 5, 1, 1)),
@@ -51,7 +51,6 @@ TYPED_TEST_CASE(MultinomialLogisticLossLayerTest, TestDtypes);
 
 TYPED_TEST(MultinomialLogisticLossLayerTest, TestGradientCPU) {
   LayerParameter layer_param;
-  Caffe::set_mode(Caffe::CPU);
   MultinomialLogisticLossLayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
   GradientChecker<TypeParam> checker(1e-2, 2*1e-2, 1701, 0, 0.05);
index 030f4bb..37b5471 100644 (file)
@@ -586,7 +586,7 @@ TYPED_TEST(NeuronLayerTest, TestPReLUInPlace) {
 
 #ifdef USE_CUDNN
 template <typename Dtype>
-class CuDNNNeuronLayerTest : public ::testing::Test {
+class CuDNNNeuronLayerTest : public GPUDeviceTest<Dtype> {
  protected:
   CuDNNNeuronLayerTest()
       : blob_bottom_(new Blob<Dtype>(2, 3, 4, 5)),
@@ -609,7 +609,6 @@ class CuDNNNeuronLayerTest : public ::testing::Test {
 TYPED_TEST_CASE(CuDNNNeuronLayerTest, TestDtypes);
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestReLUCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNReLULayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
@@ -624,7 +623,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestReLUCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestReLUGradientCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNReLULayer<TypeParam> layer(layer_param);
   GradientChecker<TypeParam> checker(1e-2, 1e-3, 1701, 0., 0.01);
@@ -633,7 +631,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestReLUGradientCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestReLUWithNegativeSlopeCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CHECK(google::protobuf::TextFormat::ParseFromString(
       "relu_param { negative_slope: 0.01 }", &layer_param));
@@ -653,7 +650,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestReLUWithNegativeSlopeCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestReLUGradientWithNegativeSlopeCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CHECK(google::protobuf::TextFormat::ParseFromString(
       "relu_param { negative_slope: 0.01 }", &layer_param));
@@ -664,7 +660,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestReLUGradientWithNegativeSlopeCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestSigmoidCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNSigmoidLayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
@@ -681,7 +676,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestSigmoidCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestSigmoidGradientCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNSigmoidLayer<TypeParam> layer(layer_param);
   GradientChecker<TypeParam> checker(1e-2, 1e-3, 1701, 0., 0.01);
@@ -690,7 +684,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestSigmoidGradientCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestTanHCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNTanHLayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
@@ -713,7 +706,6 @@ TYPED_TEST(CuDNNNeuronLayerTest, TestTanHCuDNN) {
 }
 
 TYPED_TEST(CuDNNNeuronLayerTest, TestTanHGradientCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNTanHLayer<TypeParam> layer(layer_param);
   GradientChecker<TypeParam> checker(1e-2, 1e-3);
index e9964e7..69f2d5c 100644 (file)
@@ -608,7 +608,7 @@ TYPED_TEST(PoolingLayerTest, TestGradientAvePadded) {
 
 #ifdef USE_CUDNN
 template <typename Dtype>
-class CuDNNPoolingLayerTest : public ::testing::Test {
+class CuDNNPoolingLayerTest : public GPUDeviceTest<Dtype> {
  protected:
   CuDNNPoolingLayerTest()
       : blob_bottom_(new Blob<Dtype>()),
@@ -963,7 +963,6 @@ class CuDNNPoolingLayerTest : public ::testing::Test {
 TYPED_TEST_CASE(CuDNNPoolingLayerTest, TestDtypes);
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestSetupCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
@@ -977,7 +976,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestSetupCuDNN) {
 }
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestSetupPaddedCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
@@ -994,7 +992,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestSetupPaddedCuDNN) {
 
 /*
 TYPED_TEST(CuDNNPoolingLayerTest, PrintBackwardCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   layer_param.set_kernelsize(3);
   layer_param.set_stride(2);
@@ -1020,7 +1017,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, PrintBackwardCuDNN) {
 */
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   this->TestForwardSquare();
   this->TestForwardRectHigh();
   this->TestForwardRectWide();
@@ -1030,7 +1026,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxCuDNN) {
 // the corresponding backward test.
 /*
 TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxTopMaskCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   this->blob_top_vec_.push_back(this->blob_top_mask_);
   this->TestForwardSquare();
   this->TestForwardRectHigh();
@@ -1039,7 +1034,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxTopMaskCuDNN) {
 */
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestGradientMaxCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   for (int kernel_h = 3; kernel_h <= 4; kernel_h++) {
     for (int kernel_w = 3; kernel_w <= 4; kernel_w++) {
       LayerParameter layer_param;
@@ -1059,7 +1053,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestGradientMaxCuDNN) {
 }
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxPaddedCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
@@ -1105,7 +1098,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestForwardMaxPaddedCuDNN) {
 
 /*
 TYPED_TEST(CuDNNPoolingLayerTest, TestGradientMaxTopMaskCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   for (int kernel_h = 3; kernel_h <= 4; kernel_h++) {
     for (int kernel_w = 3; kernel_w <= 4; kernel_w++) {
       LayerParameter layer_param;
@@ -1126,7 +1118,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestGradientMaxTopMaskCuDNN) {
 */
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestForwardAveCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
@@ -1152,7 +1143,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestForwardAveCuDNN) {
 }
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestGradientAveCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   for (int kernel_h = 3; kernel_h <= 4; kernel_h++) {
     for (int kernel_w = 3; kernel_w <= 4; kernel_w++) {
       LayerParameter layer_param;
@@ -1170,7 +1160,6 @@ TYPED_TEST(CuDNNPoolingLayerTest, TestGradientAveCuDNN) {
 }
 
 TYPED_TEST(CuDNNPoolingLayerTest, TestGradientAvePaddedCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   for (int kernel_h = 3; kernel_h <= 4; kernel_h++) {
     for (int kernel_w = 3; kernel_w <= 4; kernel_w++) {
       LayerParameter layer_param;
index f667442..996da4b 100644 (file)
@@ -82,7 +82,7 @@ TYPED_TEST(SoftmaxLayerTest, TestGradient) {
 
 #ifdef USE_CUDNN
 template <typename Dtype>
-class CuDNNSoftmaxLayerTest : public ::testing::Test {
+class CuDNNSoftmaxLayerTest : public GPUDeviceTest<Dtype> {
  protected:
   CuDNNSoftmaxLayerTest()
       : blob_bottom_(new Blob<Dtype>(2, 10, 2, 3)),
@@ -104,7 +104,6 @@ class CuDNNSoftmaxLayerTest : public ::testing::Test {
 TYPED_TEST_CASE(CuDNNSoftmaxLayerTest, TestDtypes);
 
 TYPED_TEST(CuDNNSoftmaxLayerTest, TestForwardCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNSoftmaxLayer<TypeParam> layer(layer_param);
   layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
@@ -138,7 +137,6 @@ TYPED_TEST(CuDNNSoftmaxLayerTest, TestForwardCuDNN) {
 }
 
 TYPED_TEST(CuDNNSoftmaxLayerTest, TestGradientCuDNN) {
-  Caffe::set_mode(Caffe::GPU);
   LayerParameter layer_param;
   CuDNNSoftmaxLayer<TypeParam> layer(layer_param);
   GradientChecker<TypeParam> checker(1e-2, 1e-3);
index 12962c6..f84464c 100644 (file)
@@ -16,8 +16,10 @@ using std::min;
 
 namespace caffe {
 
-template <typename Dtype>
-class StochasticPoolingLayerTest : public ::testing::Test {
+template <typename TypeParam>
+class StochasticPoolingLayerTest : public MultiDeviceTest<TypeParam> {
+  typedef typename TypeParam::Dtype Dtype;
+
  protected:
   StochasticPoolingLayerTest()
       : blob_bottom_(new Blob<Dtype>()),
@@ -45,9 +47,14 @@ class StochasticPoolingLayerTest : public ::testing::Test {
   vector<Blob<Dtype>*> blob_top_vec_;
 };
 
-TYPED_TEST_CASE(StochasticPoolingLayerTest, TestDtypes);
+template <typename Dtype>
+class CPUStochasticPoolingLayerTest
+  : public StochasticPoolingLayerTest<CPUDevice<Dtype> > {
+};
+
+TYPED_TEST_CASE(CPUStochasticPoolingLayerTest, TestDtypes);
 
-TYPED_TEST(StochasticPoolingLayerTest, TestSetup) {
+TYPED_TEST(CPUStochasticPoolingLayerTest, TestSetup) {
   LayerParameter layer_param;
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
@@ -60,8 +67,16 @@ TYPED_TEST(StochasticPoolingLayerTest, TestSetup) {
   EXPECT_EQ(this->blob_top_->width(), 2);
 }
 
-TYPED_TEST(StochasticPoolingLayerTest, TestStochasticGPU) {
-  Caffe::set_mode(Caffe::GPU);
+#ifndef CPU_ONLY
+
+template <typename Dtype>
+class GPUStochasticPoolingLayerTest
+  : public StochasticPoolingLayerTest<GPUDevice<Dtype> > {
+};
+
+TYPED_TEST_CASE(GPUStochasticPoolingLayerTest, TestDtypes);
+
+TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochastic) {
   LayerParameter layer_param;
   layer_param.set_phase(TRAIN);
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
@@ -104,8 +119,7 @@ TYPED_TEST(StochasticPoolingLayerTest, TestStochasticGPU) {
   EXPECT_GE(total / this->blob_top_->count(), 0.55);
 }
 
-TYPED_TEST(StochasticPoolingLayerTest, TestStochasticGPUTestPhase) {
-  Caffe::set_mode(Caffe::GPU);
+TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochasticTestPhase) {
   LayerParameter layer_param;
   layer_param.set_phase(TEST);
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
@@ -142,8 +156,7 @@ TYPED_TEST(StochasticPoolingLayerTest, TestStochasticGPUTestPhase) {
   }
 }
 
-TYPED_TEST(StochasticPoolingLayerTest, TestGradientGPU) {
-  Caffe::set_mode(Caffe::GPU);
+TYPED_TEST(GPUStochasticPoolingLayerTest, TestGradient) {
   LayerParameter layer_param;
   layer_param.set_phase(TRAIN);
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
@@ -158,6 +171,6 @@ TYPED_TEST(StochasticPoolingLayerTest, TestGradientGPU) {
       this->blob_top_vec_);
 }
 
-
+#endif
 
 }  // namespace caffe
index 70b15f8..0b7523f 100644 (file)
@@ -187,8 +187,8 @@ int test() {
   for (int i = 0; i < test_score.size(); ++i) {
     const std::string& output_name = caffe_net.blob_names()[
         caffe_net.output_blob_indices()[test_score_output_id[i]]];
-    const float loss_weight =
-        caffe_net.blob_loss_weights()[caffe_net.output_blob_indices()[i]];
+    const float loss_weight = caffe_net.blob_loss_weights()[
+        caffe_net.output_blob_indices()[test_score_output_id[i]]];
     std::ostringstream loss_msg_stream;
     const float mean_score = test_score[i] / FLAGS_iterations;
     if (loss_weight) {
index 364c436..365dd49 100644 (file)
@@ -122,9 +122,10 @@ int feature_extraction_pipeline(int argc, char** argv) {
 
   std::vector<shared_ptr<db::DB> > feature_dbs;
   std::vector<shared_ptr<db::Transaction> > txns;
+  const char* db_type = argv[++arg_pos];
   for (size_t i = 0; i < num_features; ++i) {
     LOG(INFO)<< "Opening dataset " << dataset_names[i];
-    shared_ptr<db::DB> db(db::GetDB(argv[++arg_pos]));
+    shared_ptr<db::DB> db(db::GetDB(db_type));
     db->Open(dataset_names.at(i), db::NEW);
     feature_dbs.push_back(db);
     shared_ptr<db::Transaction> txn(db->NewTransaction());
@@ -157,7 +158,7 @@ int feature_extraction_pipeline(int argc, char** argv) {
         for (int d = 0; d < dim_features; ++d) {
           datum.add_float_data(feature_blob_data[d]);
         }
-        int length = snprintf(key_str, kMaxKeyStrLength, "%d",
+        int length = snprintf(key_str, kMaxKeyStrLength, "%010d",
             image_indices[i]);
         string out;
         CHECK(datum.SerializeToString(&out));