박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 03:35:59 +0000 (12:35 +0900)]
[Pure ACL Runtime] Support 'Concat' operation (#693)
This commit introduces partial support on ANEURALNETWORKS_CONCATENATION
operation.
Only feature map concat over depth axis is supported currently.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
오형석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 02:27:29 +0000 (11:27 +0900)]
Model parser: new operators by toco (#684)
Parse new operators generated by toco in tensroflow 1.7
Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Mon, 16 Apr 2018 02:16:59 +0000 (11:16 +0900)]
Fix softmax xls formula (#688)
This will fix and simplify softmax formula in xls
to e ^ x / sum(e ^ x)
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Mon, 16 Apr 2018 01:58:25 +0000 (10:58 +0900)]
Separate Conv2D neon implementation (#686)
This will move Conv2D neon implementation to separate module
- also with the test
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 01:30:14 +0000 (10:30 +0900)]
Use hybrid epsilon comparison on test (#685)
This commit revises random testing framework to use hybrid epsilon
comparision (check realtive diff only when absolute diff is larger than
0.001).
This commit also revises testing framework to show some useful
information for analyizing failures.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 01:30:03 +0000 (10:30 +0900)]
Update cross build script (#675)
- Find common.sh correctly using SCRIPT_ROOT
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 01:14:34 +0000 (10:14 +0900)]
[Pure ACL Rumtime] Support AvgPool2D op execution (#683)
This commit implements AvgPool2D planner, which allows us to run
'avgpool_test1.tflite' testcase with Pure ACL NN runtime.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 01:14:01 +0000 (10:14 +0900)]
[Pure ACL Runtime] Set Padding for Conv2D op (#681)
This commit revises Conv2D op planner to set padding similarly as in
MaxPool2D op.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 01:09:38 +0000 (10:09 +0900)]
[NNAPI Random Tests] Add 'reshape_1' test (#679)
* [NNAPI Random Tests] Add 'reshape_1' test
This commit adds 'reshape_1' test which allows us to test reshape
operation with random data.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
* Remove unnecessary blank
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Mon, 16 Apr 2018 00:57:49 +0000 (09:57 +0900)]
Remove Flag and use global util IntAccessor (#682)
This will remove local Flag and use global IntAccessor to check CONV2D_VERBOSE flag
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 00:57:19 +0000 (09:57 +0900)]
[NNOP unittest] Use TensorWrapper for FC (#651)
Use TensorWrapper for FC unit tests instead of directly access primitives.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Mon, 16 Apr 2018 00:15:46 +0000 (09:15 +0900)]
Move unused code for Conv2D (#677)
This will remove and move unused code from Conv2D using ACL kernel
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 00:14:39 +0000 (09:14 +0900)]
[Pure ACL] Record AvgPool2D operation in model (#671)
This commit allows pure ACL NN runtime to record AvgPool2D operation in its model.
Note that compilation and execution is not supported, yet.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Mon, 16 Apr 2018 00:13:55 +0000 (09:13 +0900)]
[Pure ACL] Support valid padding for MaxPool2D (#670)
* [Pure ACL] Support valid padding for MaxPool2D
This commit supports valid padding for MaxPool2D.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
* Remove unnecessary blank line
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Sun, 15 Apr 2018 23:49:44 +0000 (08:49 +0900)]
Update document regarding docker image (#635)
- Add link to HowToUseDockerImage.md in README.md
- Update docker image version in HowTo document
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Sun, 15 Apr 2018 23:43:31 +0000 (08:43 +0900)]
[NNAPI Random Test] Add 'concat_1' case (#674)
This commit adds 'concat_1' test which allows us to test the
implementation of 'concat' operation.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Sun, 15 Apr 2018 23:27:03 +0000 (08:27 +0900)]
Fix comment in extract.py (#672)
This commit fixes typo in extract.py
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 12:00:40 +0000 (21:00 +0900)]
Introduce print_op.py (#673)
`print_op.py` prints operations of a TF model in order
with input/output shapes.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Fri, 13 Apr 2018 08:13:10 +0000 (17:13 +0900)]
Temporary separate support class from Conv2D (#665)
This will extract supporting class in Conv2D module to temporary file
- To separate NEON convFloat32() to it's own module
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 07:03:16 +0000 (16:03 +0900)]
Extract implementations into separate files (#668)
This commit extracts several implementations in Model.h/Model.cc into
separate files (to make it easy to read code).
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 06:18:06 +0000 (15:18 +0900)]
Allow padding type configuration for 'max_pool_1' (#664)
This commit allows users to configure padding type for 'max_pool_1'.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 06:09:18 +0000 (15:09 +0900)]
[Pure ACL Runtime] Support ReLU activation for Conv2D (#653)
This commit introduces ReLU activation support for Conv2D operation.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 05:26:08 +0000 (14:26 +0900)]
Apply nnfw_kernel to 6 kernels used by inception v3 (#636)
* Apply nnfw_kernel to 6 kernels used by inception v3
- Apply nnfw_kernel to 6 kernels used by inception v3
- Also introduce NNFWKernels.lst file
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
* Refine code to minimize diff
- Refine code to minimize diff
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 05:22:59 +0000 (14:22 +0900)]
[NNOP] Use CLUniqueTensor for FC (#652)
This commit uses CLUniqueTensor for fullyConnectedFloat32().
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Fri, 13 Apr 2018 04:29:33 +0000 (13:29 +0900)]
Add more tests of Softmax kernel on ACL (#647)
* Add more tests of Softmax kernel on ACL
This will add non uniform input for Softmax
- ss there is diff in float comparison, compareData() is changed to use epsilon_equal()
- and epsilon_equal() had compilation problem in Ubuntu 16.04, some headers was added
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
* fix for tizen build
* use c++ header
이춘석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 04:14:32 +0000 (13:14 +0900)]
Add tizen gbs build script (#625)
To run, build docker image of https://github.sec.samsung.net/chunseok-lee/gbs_docker
이상규/동작제어Lab(SR)/Principal Engineer/삼성전자 [Fri, 13 Apr 2018 04:11:00 +0000 (13:11 +0900)]
Update Android NN runtime TestGenerated (#645)
- Related Issue: #459, #611
- Base version of Android NN Test: efd22b6
Merge "Make convFloat32 and convQuant8 not segfault when asking too much memory."
Signed-off-by: Sanggyu Lee <sg5.lee@samsung.com>
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Fri, 13 Apr 2018 04:09:58 +0000 (13:09 +0900)]
Enable NN Runtime unit tests in CI (#627)
This commit enabls NN Runtime unit test in CI
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 04:03:00 +0000 (13:03 +0900)]
[Pure ACL Runtime] Support weight initialization (#649)
This commit introduces basic weight initialization infrastructure for
Conv2D operation support.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 04:01:50 +0000 (13:01 +0900)]
[NNOP] Introduce various init functions in TensorWrapper (#644)
This commit introduces various init functions in TensorWrapper.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 03:49:14 +0000 (12:49 +0900)]
[NNAPI Random Test] Introduce 'avg_pool_1' (#646)
This commit introduces 'avg_pool_1' which allows us to test the
implementation of 'AvgPool2D' operation with random data.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 01:40:42 +0000 (10:40 +0900)]
[NNAPI random test] Introduce 'max_poool_1' (#643)
This commit introduces 'max_pool_1' random test tool for testing
the implementation of MaxPool2D operation.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 01:34:51 +0000 (10:34 +0900)]
[NNOP] Introduce MatrixWeightAccessor and VectorOutputAccessor (#637)
This commit introduces two classes:
- MatrixWeightAccessor
- VectorOutputAccessor
Those two classes will be used in fullyConnectedFloat32().
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Fri, 13 Apr 2018 01:31:28 +0000 (10:31 +0900)]
Add Softmax kernel on ACL (#642)
This will add Softmax kernel on ACL and a simple test
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 01:23:02 +0000 (10:23 +0900)]
[NNOP] support vector and matrix in fromNNShape() (#640)
This commit adds functionality to support converting 1D and 2D tensors
in fromNNShape()
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 00:42:29 +0000 (09:42 +0900)]
Add Dockerfile_tizen (#634)
- Add Dockerfile_tizen which support gbs build of Tizen
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Fri, 13 Apr 2018 00:42:18 +0000 (09:42 +0900)]
[Pure ACL Runtime] Support MaxPool2D op execution (#639)
This commit implements MaxPool2D operation execution for experimental
pure ACL NN runtime.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Fri, 13 Apr 2018 00:33:19 +0000 (09:33 +0900)]
Remove the original constructor of StepExecutor and parameters (#568)
* Remove the original constructor of StepExecutor and parameters
This commit removes the original constructor of StepExecutor, since we use only 2 parameter in our framework.
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
* Remove blank line
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 22:17:36 +0000 (07:17 +0900)]
Introduce RandomTestRunner (#633)
This commit introduces RandomTestRunner, and revises all the NNAPI tests
based on random number generator to share the same framework.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 22:11:21 +0000 (07:11 +0900)]
[Pure ACL Runtime] Introduce logging infrastructure (#624)
This commit introduces basic logging infrastructure for experiemental
pure ACL NN runtime.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
최성진/동작제어Lab(SR)/Principal Engineer/삼성전자 [Thu, 12 Apr 2018 12:56:21 +0000 (21:56 +0900)]
add other test cases in pooling (#631)
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 12:01:26 +0000 (21:01 +0900)]
Extract nnfw_kernel selection into a macro (#626)
- Extract nnfw_kernel selection into a macro
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 11:50:48 +0000 (20:50 +0900)]
Fix NNAPI implementation for logging (#630)
ANeuralNetworksExecution_setInput and ANeuralNetworksExecution_setOutput
are incorrectly defined currently.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김용섭/동작제어Lab(SR)/Engineer/삼성전자 [Thu, 12 Apr 2018 11:14:00 +0000 (20:14 +0900)]
Apply tap for test framework (#618)
Apply tap for test framework. The outputs .tap file is going
to be used by jenkins plugin for reporting test results.
Signed-off-by: Yongseop Kim <yons.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 10:03:38 +0000 (19:03 +0900)]
Fix Tizen cross-build break (#628)
This commit inserts explicit type instantiation on abs method to fix
Tizen cross-build break.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김용섭/동작제어Lab(SR)/Engineer/삼성전자 [Thu, 12 Apr 2018 08:43:49 +0000 (17:43 +0900)]
Add handling options to test_driver.sh (#622)
Enables test_driver.sh to handle options properly. Now test_driver.sh
can run only for unittest, frameworktest or verification.
Signed-off-by: Yongseop Kim <yons.kim@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 08:03:17 +0000 (17:03 +0900)]
Introduce TensorWrapper for unittesting (#619)
This commit introduces TensorWrapper for unittesting.
This class can be used various test cases in `src/kernel`.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
최성진/동작제어Lab(SR)/Principal Engineer/삼성전자 [Thu, 12 Apr 2018 07:47:07 +0000 (16:47 +0900)]
Initial version of ACL pooling with NEON (#621)
* remove unnecessary blanks
Signed-off-by: lotieye.choi <lotieye.choi@samsung.com>
* Initial version of ACL pooling with NEON
Signed-off-by: lotieye.choi <lotieye.choi@samsung.com>
* add pooing with NEON in cmake
Signed-off-by: lotieye.choi <lotieye.choi@samsung.com>
* remove blanks
Signed-off-by: lotieye.choi <lotieye.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 04:55:06 +0000 (13:55 +0900)]
[Pure ACL NN Runtime] Add Source/Sink (#615)
This commit introduces the concept of Source and Sink which sets inputs
before execution, and gets outputs after execution.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 04:52:26 +0000 (13:52 +0900)]
Use CPU kernel as a default kernel (#614)
* Use CPU kernel as a default kernel
- Use CPU kernel as a default kernel
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
* Apply review feedback
- restrict scope of it variable
Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 04:50:53 +0000 (13:50 +0900)]
[Pure ACL Runtime] Set Conv2D strides (#608)
This commit set Conv2D stride parameter with values read from operands.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
이상규/동작제어Lab(SR)/Principal Engineer/삼성전자 [Thu, 12 Apr 2018 04:48:29 +0000 (13:48 +0900)]
Add missed TestGenerated.cpp in Android NN tests (#616)
Signed-off-by: Sanggyu Lee <sg5.lee@samsung.com>
최성진/동작제어Lab(SR)/Principal Engineer/삼성전자 [Thu, 12 Apr 2018 04:31:53 +0000 (13:31 +0900)]
[NNOP]Introduce average pooling (#610)
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Thu, 12 Apr 2018 02:50:53 +0000 (11:50 +0900)]
Clean include section of Callbacks.h (#600)
This commit cleans include section of Callbacks.h
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Thu, 12 Apr 2018 02:21:17 +0000 (11:21 +0900)]
Initial version of ACL Conv2D with NEON (#602)
This will add Conv2D with NEON backend.
- implementation will be moved to another module after common codes are moved
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 02:03:18 +0000 (11:03 +0900)]
[Pure ACL] Allow model to include MaxPool2D op (#606)
This commit revises Pure ACL NN Runtime to include MaxPool2D operation
while constructing a model.
Note that execution is not supported, yet.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 02:03:12 +0000 (11:03 +0900)]
Use correct ANeuralNetworksExecution_setOutput signature (#605)
ANeuralNetworksExecution_setOutput should take void * (not const void *)
according to NNAPI specification.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 02:03:06 +0000 (11:03 +0900)]
[NNOP] The first version of NEON FC layer (#573)
This commit introduces the first version of NEON FC Layer.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 01:17:23 +0000 (10:17 +0900)]
Introduce nnfw_support_nnapi (#603)
This commit introduces 'nnfw_support_nnapi' library which provides
various helpers for implementing NNAPI.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 00:44:49 +0000 (09:44 +0900)]
Extract CLUniqueTensor to another file (#578)
This commit extracts CLUniqueTensor to another file
in order to use this class in other OpenCL NN Layers.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 00:14:05 +0000 (09:14 +0900)]
[Pure ACL NN Runtime] Implement basic compilation (#596)
This commit implements basic compilation phase for (experiemntal) pure
ACL NN runtime.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 00:07:50 +0000 (09:07 +0900)]
FIX: build fail due to fromNNShape() (#599)
Build fail due to fromNNShape() is moved to namespace nnfw::kernel::acl::util.
This commit fixes this fail by chainging `fromNNShape()` to
`util::fromNNShape()`.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Thu, 12 Apr 2018 00:07:23 +0000 (09:07 +0900)]
Implement naive feature map and kernel update (#585)
* Implement naive feature map and kernel update
This commit implement unoptimize, naitve offset calulation (which is
easy to debug).
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
* Remove unused variables
최성진/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 23:48:11 +0000 (08:48 +0900)]
[NNOP] First version of MaxPoolingFloat32 (#563)
* add softmax unittest
* fix typoes (IFM_H -> IFM_C)
* modify dims (batch_size and input_size)
* Fix softmax unnittest according to comments
-remove empty lines
-add empty lines to the end of codes
-resolve the conflict related with #472.
-modify equality between two floats by using nfw::util::fp32::epsilon_equal
Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
* add header files for softmax unittest
Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
* add new line
add new line at the end of file
* [NNOP] First version of MaxPoolingFloat32
Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
* initialize data with increasing value
Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
* Move maxpool kernel to cl folder
* add maxpool acl kernel operator prototypes
* add new line
* change maxpool names as #574
* change names to align function prototype with NN runtime.
이춘석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 12:43:32 +0000 (21:43 +0900)]
Fix tizen cross/obs build fail (#595)
1. For obs build, save downloaded_deps.tar.gz to nnfw/packaging
2. To distinguish obs build, introduce OBS_BUILD flag
오형석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 10:20:59 +0000 (19:20 +0900)]
New inception models test and change default (#579)
- New inception models: inception module (small inception), inception slim
- Test small inception as default, and disable slim and nonslim
Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>
이춘석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 10:20:30 +0000 (19:20 +0900)]
exit when unittet fail (#587)
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Wed, 11 Apr 2018 09:22:32 +0000 (18:22 +0900)]
Uncomment remaining comment of LOG in ModelBuilder (#564)
This commit uncomments remaining comment of LOG in ModelBuilder.
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
이상규/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 08:42:06 +0000 (17:42 +0900)]
Enable building Android NN tests (#580)
Building Android NN tests are on by default.
In case of g++ < 6.3, it is disabled to avoid build failure in
TestGenerated.cpp.
Signed-off-by: Sanggyu Lee <sg5.lee@samsung.com>
오형석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 08:41:24 +0000 (17:41 +0900)]
Bug fix in run_test.sh (#586)
Bug fix: parsing error by '/' when test have sub-directory
Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 07:50:59 +0000 (16:50 +0900)]
Rename acl Conv2D filename (#574)
* Rename acl Conv2D filename
This will remove _acl suffix from filename as it's inside cl folder
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
* remove shape.cpp
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Wed, 11 Apr 2018 07:47:38 +0000 (16:47 +0900)]
Remove temporary include of ErrorStatus in ExecutionBuilder (#560)
This commit removes temporary include of ErrorStatus in ExecutionBuilder and enables that include in HallInterfaces.h
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Wed, 11 Apr 2018 07:46:46 +0000 (16:46 +0900)]
Remove unused PreparedModelCallback (#555)
This commit removes unused PreparedModelCallback.
The PreparedModelCallback class is used to receive the error status of preparing a model as well as the prepared model from a task executing asynchronously with respect to the runtime.
But in the environment of running on CPU only, it is no needed.
If it is needed later, can be copied from AndroidNN or implemented on our own.
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Wed, 11 Apr 2018 07:45:58 +0000 (16:45 +0900)]
Remove partitioning(device) functions in ExecutionBuilder (#550)
This commit removes partitioning(device) functions in ExecutionBuilder.
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 07:45:28 +0000 (16:45 +0900)]
Initialize CLScheduler inside NN runtime (#548)
* Initialize CLScheduler inside NN runtime
ARM Compute Library requires CLScheduler to be initialized before any CL
operations.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
* Use 'nnfw::kernel::acl::Initialize'
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 07:37:18 +0000 (16:37 +0900)]
[NNOP] Remove unnecessary blank line (#576)
This commit removes an unnecessary blank line in
`src/kernel/acl/src/cl/FullyConnected.test.cpp`.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 07:31:32 +0000 (16:31 +0900)]
[NNAPI Unittest Conv1] Initialize inputs correctly (#575)
This commit fixes a bug in 'nnapi_unittest_conv_1' which incorrectly
initializes inputs.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 07:19:59 +0000 (16:19 +0900)]
Apply RELU to the FC layer. (#572)
This commit adds functionality of activation RELU into the FC layer.
This commit also adds a test case for RELU.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 07:18:10 +0000 (16:18 +0900)]
[NNOP] Introduce module shape (#570)
This commit introduces a module shape. This module includes
getSizeOfDimension(), fromVectorNNShape(), and fromNNShape().
These functions are commonly used in various layer implementations.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 06:26:06 +0000 (15:26 +0900)]
Support ReLU activation (#571)
This commit revises Conv2D operation kernel to support ReLU activation.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 06:07:13 +0000 (15:07 +0900)]
Gather acl kernel operator prototypes (#569)
* Gather acl kernel operator prototypes
This will gather acl kernel operator prototypes to root include folder
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
* add reshape
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 05:44:34 +0000 (14:44 +0900)]
Update convolution manual calculation xls (#562)
This will update xls file with 3x5 input with 2 kernels
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 05:36:37 +0000 (14:36 +0900)]
[NNOP] The first version of reshape layer (#566)
This commit introduces the first version of reshape layer using ACL.
Unit test will be added more in later commits.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
서상민/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 05:32:51 +0000 (14:32 +0900)]
Remove ext libs used to build TF Lite (#541)
For issue #491
This patch is to remove external libs that were used to build TF Lite and to use a script that brings
those libraries from the tensorflow directory.
Signed-off-by: Sangmin Seo <sangmin7.seo@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 05:00:51 +0000 (14:00 +0900)]
Move conv kernel to cl folder (#561)
This will move Conv kernel source into cl folder for cl implementations
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
서상민/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 04:38:26 +0000 (13:38 +0900)]
tflite_run: initialize _elapsed in ElapsedTime (#559)
Fixes issue #540
This patch initializes _elapsed in ElapsedTime as 0.0 to set a correct
time value.
Signed-off-by: Sangmin Seo <sangmin7.seo@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 04:22:59 +0000 (13:22 +0900)]
Add 3x5 2 kernel convolution test (#552)
* Add 3x5 2 kernel convolution test
This will add 3x5 with 2 kernel convolution test and fix format conversions
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
* apply review comments
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 04:03:03 +0000 (13:03 +0900)]
Introduce interactive docker option (#545)
To build and test continuously in the docker environment, run as below:
`$ DOCKER_INTERACTIVE=1 ./docker/Docker_build_cross_arm_ubuntu_without_aclbuild.sh`
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 03:57:38 +0000 (12:57 +0900)]
[Pure ACL] Fix build break (#556)
This commit removes inputs/outputs field from Plan class (as it now has
a reference to Model class which has inputs/outputs) to fix build break.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박세희/동작제어Lab(SR)/Principal Engineer/삼성전자 [Wed, 11 Apr 2018 03:57:16 +0000 (12:57 +0900)]
Fix convolution kernel test failure (#557)
This will fix convolution kernel on acl test
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
김정현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 01:55:51 +0000 (10:55 +0900)]
[NNOP] The first version of fullyConnectedFloat32 (#547)
This commit introduces the first version of fullyConnectedFloat32
to integrate ACL with NN runtime.
Signed-off-by: Junghyun Kim <jh0822.kim@samsung.com>
김수진/동작제어Lab(SR)/Engineer/삼성전자 [Wed, 11 Apr 2018 01:51:24 +0000 (10:51 +0900)]
Remove functions used in only ExecutionPlan in ExecutionBuilder (#546)
This commit removes functions used in only ExecutionPlan in ExecutionBuilder
Signed-off-by: sjsujinkim <sjsujin.kim@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 01:47:21 +0000 (10:47 +0900)]
Introduce CLUniqueTensor (#551)
This commit introduces CLUniqueTensor which initialize and allocate
buffer in its constructor, and free that buffer in its destructor.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 01:31:23 +0000 (10:31 +0900)]
[Pure ACL] Pass NNAPI model to execution (#544)
The following functions need to access model information through
ANeuralNetworksExecution object:
- ANeuralNetworksExecution_setInput
- ANeuralNetworksExecution_setOutput
This commit renames class Model in internal::arm_compute namespace as
Plan, revises it to include a reference to NNAPI model.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 00:56:28 +0000 (09:56 +0900)]
Set arm_compute::TensorShape for bias correctly (#549)
This commit revises convFloat32 implementation based on ARM Compute to
correctly set bias shape. This change fixes clBuffer exception during
bias memory allocation.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
이춘석/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 00:30:40 +0000 (09:30 +0900)]
Remove comment from test_driver.sh (#542)
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Wed, 11 Apr 2018 00:13:42 +0000 (09:13 +0900)]
Invoke NNFW ACL kernels via runtime (#535)
* Invoke NNFW ACL kernels via runtime
This commit allows users to invoke NNFW ACL Conv2D kernel via runtime.
It also adds link directory for ARM Compute Library.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
TANUJ TEKRIWAL/SRI-Bangalore-System SW/./삼성전자 [Tue, 10 Apr 2018 23:40:25 +0000 (05:10 +0530)]
Enable RESHAPE of CpuExecutor. (#496)
Add the RESHAPE operation file and enable the
operation in CpuExecutor.
Signed-off-by: Tanuj Tekriwal <tanuj.tekri@samsung.com>
이상규/동작제어Lab(SR)/Principal Engineer/삼성전자 [Tue, 10 Apr 2018 23:39:34 +0000 (08:39 +0900)]
Bring Android NN Runtime Generated Tests (#463)
C++ Tests generated from python specs are added.
Its build is default off since it requires g++ >= 7.
You can enable it by defining BUILD_ANDROID_NN_RUNTIME_TEST=ON.
Simple tests (float_xxx and add) pass.
For others (conv_quants_xxx, depthwise_xxx, etc), we have to enable
the code from android NN (currently enclosed with comment).
I included generated C++ not python spec file and generator script.
Because i) It tooks about 12 sec in my machine to generate.
ii) I belive the tests seldom change.
Signed-off-by: Sanggyu Lee <sg5.lee@samsung.com>
박종현/동작제어Lab(SR)/Senior Engineer/삼성전자 [Tue, 10 Apr 2018 23:36:03 +0000 (08:36 +0900)]
[Pure ACL] Store Network Inputs/Ouputs (#543)
This commit revises tflite::Model and arm_comput::Model to store the
inputs and outputs of a given network.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>