Yifei Feng [Tue, 29 May 2018 19:57:14 +0000 (12:57 -0700)]
Merge commit for internal changes
Justin Lebar [Tue, 29 May 2018 19:05:19 +0000 (12:05 -0700)]
Increase tolerances in depthwise_conv_op_test.
PiperOrigin-RevId:
198434814
Sanjoy Das [Tue, 29 May 2018 19:02:57 +0000 (12:02 -0700)]
Use target machine features to determine max vectorization width for GEMM
PiperOrigin-RevId:
198434296
A. Unique TensorFlower [Tue, 29 May 2018 19:01:11 +0000 (12:01 -0700)]
L2HMC trained with strongly correlated Gaussian. Simple testing
and benchmark with eager and graph mode execution.
PiperOrigin-RevId:
198433911
A. Unique TensorFlower [Tue, 29 May 2018 18:55:17 +0000 (11:55 -0700)]
Extracts the 'remove split or splitv nodes' optimization into its own method.
PiperOrigin-RevId:
198432976
Sanjoy Das [Tue, 29 May 2018 18:51:20 +0000 (11:51 -0700)]
[TF:XLA] Bump open source llvm revision to r333395
PiperOrigin-RevId:
198432337
A. Unique TensorFlower [Tue, 29 May 2018 18:46:26 +0000 (11:46 -0700)]
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId:
198431534
A. Unique TensorFlower [Tue, 29 May 2018 18:32:25 +0000 (11:32 -0700)]
Add note to bijector_impl.py explaining that `log_det_jacobian` is `log(*abs*(det(Jacobian)))`.
PiperOrigin-RevId:
198428995
Justin Lebar [Tue, 29 May 2018 18:19:19 +0000 (11:19 -0700)]
[XLA] Clarify that options passed to LocalService override legacy_flags values.
PiperOrigin-RevId:
198426696
A. Unique TensorFlower [Tue, 29 May 2018 18:18:54 +0000 (11:18 -0700)]
Update ops-related pbtxt files.
PiperOrigin-RevId:
198426617
Sanjoy Das [Tue, 29 May 2018 18:14:43 +0000 (11:14 -0700)]
Tile on the M dimension in GEBP.
After this change the inner reduction loop in GEBP multiplies a tile from the
LHS and a tile from the RHS to get a result tile.
PiperOrigin-RevId:
198425769
A. Unique TensorFlower [Tue, 29 May 2018 18:13:36 +0000 (11:13 -0700)]
[tpu:profiler] Add a new field to the statistics collected at each step.
PiperOrigin-RevId:
198425588
A. Unique TensorFlower [Tue, 29 May 2018 18:12:22 +0000 (11:12 -0700)]
Extracts the 'remove shuffle or transpose node' optimization into its own method.
PiperOrigin-RevId:
198425354
Frank Chen [Tue, 29 May 2018 17:57:01 +0000 (10:57 -0700)]
Add security notices for recently discovered and patched vulnerabilities.
PiperOrigin-RevId:
198422244
A. Unique TensorFlower [Tue, 29 May 2018 17:54:51 +0000 (10:54 -0700)]
[TF/XLA] Add validation to find ops incompatible with the given device type at the beginning of graph compilation.
PiperOrigin-RevId:
198421828
A. Unique TensorFlower [Tue, 29 May 2018 17:53:40 +0000 (10:53 -0700)]
Support NHWC_VECT_W in MakeShapeFromFormat.
PiperOrigin-RevId:
198421617
Yun Peng [Tue, 29 May 2018 17:37:55 +0000 (19:37 +0200)]
Update python_configure.bzl (#19614)
Add BAZEL_SH environment variable as a dependency of python_configure repository rule
Allen Lavoie [Tue, 29 May 2018 17:34:20 +0000 (10:34 -0700)]
Add AnonymousIteratorHandleOp for non-shared Iterator resources
Fixes Iterator cleanup when executing eagerly. DestroyResourceOp will now remove the last reference from the Iterator resource when it runs (after the last Python reference to an EagerIterator is removed).
Previously EagerIterator used IteratorHandleOp to create resource handles, which used one kernel per (unique) shared name since the shared name was an attribute. These kernels each held a reference to their resource, which kept it alive indefinitely.
Fixes #19499.
PiperOrigin-RevId:
198417997
A. Unique TensorFlower [Tue, 29 May 2018 17:17:39 +0000 (10:17 -0700)]
Clarify argument types and relationships in docstrings of statistical_testing.py.
PiperOrigin-RevId:
198414898
Guido Zuidhof [Tue, 29 May 2018 17:17:51 +0000 (18:17 +0100)]
Add mirror for nasm (#19349)
A. Unique TensorFlower [Tue, 29 May 2018 16:49:42 +0000 (09:49 -0700)]
Eliminate self.test_session in favor of self.evaluate in statistical_testing_test.py.
PiperOrigin-RevId:
198410306
Dan Moldovan [Tue, 29 May 2018 16:46:21 +0000 (09:46 -0700)]
Clean up: handle the hidden additional clause on for loops in a way that's clearer about what it does.
PiperOrigin-RevId:
198409797
Michael Case [Tue, 29 May 2018 16:45:09 +0000 (09:45 -0700)]
Merge pull request #19574 from braincodercn/patch-1
Fix build error
Dan Moldovan [Tue, 29 May 2018 16:15:44 +0000 (09:15 -0700)]
Clean up: remove useless super delegation.
PiperOrigin-RevId:
198405670
voegtlel [Tue, 29 May 2018 16:15:10 +0000 (18:15 +0200)]
Fixed memory leak with py_func (#18292) (#19085)
* Fixing memory leak with py_func (#18292)
* Fixed memory leak with py_func (#18292)
Dan Moldovan [Tue, 29 May 2018 15:45:28 +0000 (08:45 -0700)]
Allow assignment to subscripts in static analysis.
Move the handling of syntactic unpackings to a generic helper function since the pattern is used in multiple places. Update the type info analyzer to correctly process function arguments.
PiperOrigin-RevId:
198401368
A. Unique TensorFlower [Tue, 29 May 2018 15:36:14 +0000 (08:36 -0700)]
Generalize assert_true_mean_equal and assert_true_mean_equal_two_sample to assert_true_mean_in_interval.
PiperOrigin-RevId:
198400265
Asim Shankar [Tue, 29 May 2018 07:50:34 +0000 (00:50 -0700)]
Re-apply #18192.
PiperOrigin-RevId:
198358055
Sanjoy Das [Tue, 29 May 2018 06:55:19 +0000 (23:55 -0700)]
Fix an incorrect precondition check in IndexedArrayAnalysis
PiperOrigin-RevId:
198354001
Sanjoy Das [Tue, 29 May 2018 06:03:39 +0000 (23:03 -0700)]
Pass HloOpcode instead of HloInstruction; NFC
Minor code cleanup change.
PiperOrigin-RevId:
198351045
Sanjoy Das [Tue, 29 May 2018 05:16:46 +0000 (22:16 -0700)]
Make IndexedArrayAnalysis behave well around StatusOr
PiperOrigin-RevId:
198348355
Yun Peng [Tue, 29 May 2018 03:05:08 +0000 (05:05 +0200)]
python_configure.bzl: Find bash binary path through BAZEL_SH env var. (#19598)
* python_configure.bzl: Find bash binary path through BAZEL_SH env var.
This helps avoid invoking the wrong bash binary when "Bash on Ubuntu on Windows"
is installed.
Fixed https://github.com/tensorflow/tensorflow/issues/11735
* Readability modifications.
Yun Peng [Tue, 29 May 2018 03:04:59 +0000 (05:04 +0200)]
Windows: fail gracefully when undname.exe is not found (#19600)
* Windows: fail gracefully when undname.exe is not found
* Edit error message.
Michael Case [Mon, 28 May 2018 19:23:35 +0000 (12:23 -0700)]
Merge pull request #19539 from AD-530/master
Add missing deps for simd_armv8a in jpeg.BUILD
Michael Case [Mon, 28 May 2018 19:22:14 +0000 (12:22 -0700)]
Merge pull request #19577 from tensorflow/terrytangyuan-patch-1
Fixed typo in exporter.py
Michael Case [Mon, 28 May 2018 19:21:48 +0000 (12:21 -0700)]
Merge pull request #19580 from ManHyuk/fix_typo
Fix typo
Jiri Simsa [Mon, 28 May 2018 16:33:49 +0000 (09:33 -0700)]
Adding tf.data optimization for rewriting `map(...).batch(...)` to `map_and_batch(...)`.
PiperOrigin-RevId:
198310806
Tom Hennigan [Mon, 28 May 2018 13:32:04 +0000 (06:32 -0700)]
Sort variables in C++ instead of Python.
PiperOrigin-RevId:
198298103
A. Unique TensorFlower [Mon, 28 May 2018 12:21:13 +0000 (05:21 -0700)]
Relax compatibility checks for Protocol Buffer classes, to not rely on the exact layout of the generated classes. The definition of the message is checked instead.
PiperOrigin-RevId:
198292780
Justin Lebar [Sun, 27 May 2018 20:27:28 +0000 (13:27 -0700)]
[XLA] Don't display metadata inline in HLO graph dump.
We only want to display it in the tooltip.
PiperOrigin-RevId:
198235268
A. Unique TensorFlower [Sun, 27 May 2018 17:49:12 +0000 (10:49 -0700)]
TPUEstimator.export_savedmodel() saves a SavedModel with both TPU and CPU graphs.
PiperOrigin-RevId:
198229550
ManHyuk [Sun, 27 May 2018 07:07:47 +0000 (16:07 +0900)]
fix typo
ManHyuk [Sun, 27 May 2018 07:03:14 +0000 (16:03 +0900)]
Merge branch 'master' into fix_typo
Yuan (Terry) Tang [Sat, 26 May 2018 18:49:29 +0000 (14:49 -0400)]
Fixed typo in exporter.py
braincodercn [Sat, 26 May 2018 16:25:10 +0000 (00:25 +0800)]
Fix build error
Fix build error: 'function' in namespace 'std' does not name a template type
A. Unique TensorFlower [Sat, 26 May 2018 15:25:12 +0000 (08:25 -0700)]
Extracts the 'remove random shuffle node' optimization into its own method.
PiperOrigin-RevId:
198169790
Guangda Lai [Sat, 26 May 2018 06:44:11 +0000 (23:44 -0700)]
Fix the issue where returned Status is not used.
PiperOrigin-RevId:
198146500
A. Unique TensorFlower [Sat, 26 May 2018 05:46:46 +0000 (22:46 -0700)]
DepthwiseConv Optimizations
PiperOrigin-RevId:
198144118
A. Unique TensorFlower [Sat, 26 May 2018 04:38:56 +0000 (21:38 -0700)]
Use dict(locals()) instead of distribution_util.parent_frame_arguments. This will be much
faster at object construction time (going forward we'll figure out a way to make this a function to call).
PiperOrigin-RevId:
198141184
Justin Lebar [Sat, 26 May 2018 03:23:31 +0000 (20:23 -0700)]
[XLA] Don't compute relative error when the expected value is 0.
In literal_comparison, don't try to compute a relative error when the
expected value is 0, because doing so would mean that the only
acceptable value *is* zero, which probably isn't what you mean.
PiperOrigin-RevId:
198137414
Sanjoy Das [Sat, 26 May 2018 02:21:57 +0000 (19:21 -0700)]
Add support for unary and binary ops to indexed tensor analysis
I've added a TODO to clean up the use of ValueOrDie which I will address in an
immediately following CL.
PiperOrigin-RevId:
198134579
Yunxing Dai [Sat, 26 May 2018 02:18:30 +0000 (19:18 -0700)]
[Hlo Graphviz] Always show metadata as tooltips
Always show metadata as tooltips.
PiperOrigin-RevId:
198134430
Sanjoy Das [Sat, 26 May 2018 00:46:19 +0000 (17:46 -0700)]
Add a type-erased broadcast implementation to xla::Literal
And use this in HLO evaluator. Since broadcast only moves bytes around we don't
need a type specialized implementation.
I'll use this in a later change.
PiperOrigin-RevId:
198128524
Akshay Modi [Sat, 26 May 2018 00:37:01 +0000 (17:37 -0700)]
Minor eager performance improvements
- remove linear regression dependence on global step.
This speeds things up a lot for the benchmark (since it removes a bunch of
unnecessary code), but is obviously not a fair comparison.
I think its worth doing, since I don't see any reason to have a global step
in eager.
- nn_ops dropout had an unnecessary convert_to_tensor, convert back to numpy
(with a GPU this would copy out, copy back).
- cudnn_recurrent reshape would always fallback to the slow path - so I just
converted it to be in the fastpath - this will be low impact.
- tensor_shape should not generate a new object every time
- remove unnecessary list creation and searching in some dtypes functions
PiperOrigin-RevId:
198127757
Peter Hawkins [Sat, 26 May 2018 00:29:37 +0000 (17:29 -0700)]
[TF:XLA] Add direct implementation of AssignVariableOp for XLA devices.
This allows us to avoid an XLA compilation and tensor copies when assigning to a variable placed on an XLA device.
PiperOrigin-RevId:
198127062
A. Unique TensorFlower [Sat, 26 May 2018 00:22:17 +0000 (17:22 -0700)]
Turn on heuristic (mostly-NHWC) convolution layout assignment for (V100, fp16) by default.
Also increase the column reduction tile size to reduce atomic operations.
PiperOrigin-RevId:
198126505
Sanjoy Das [Sat, 26 May 2018 00:22:11 +0000 (17:22 -0700)]
Enable while loop constant sinking for GPU
To avoid keeping constants in while loop bodies after optimization (where they
may cause extra copies) we run a late pass of LICM that has been asked to hoist
constants when it can.
PiperOrigin-RevId:
198126497
Akshay Agrawal [Sat, 26 May 2018 00:12:49 +0000 (17:12 -0700)]
Provide a step container to OpKernelContexts when running eagerly.
This lets us run some ops that require step containers (e.g.
TensorArray-related ops).
Before change:
Benchmark Time(ns) CPU(ns) Iterations
-------------------------------------------------------------------
BM_CreateGraph 61292 80915 8581
BM_RunGraph 7899 13398 51251
BM_CreateAndDestroySession 2588 2594 269838
BM_KernelAndDeviceInit 2971 2976 235908
BM_KernelAndDeviceRun 505 506 1000000
After change:
Benchmark Time(ns) CPU(ns) Iterations
-------------------------------------------------------------------
BM_CreateGraph 78295 105539 8698
BM_RunGraph 9907 16988 47908
BM_CreateAndDestroySession 2773 2778 247635
BM_KernelAndDeviceInit 2678 2682 270054
BM_KernelAndDeviceRun 553 554 1000000
PiperOrigin-RevId:
198125630
Jiri Simsa [Sat, 26 May 2018 00:05:33 +0000 (17:05 -0700)]
[tf.data] Fixing concurrency issue in `map_and_batch`.
PiperOrigin-RevId:
198124860
Tatiana Shpeisman [Sat, 26 May 2018 00:06:29 +0000 (17:06 -0700)]
Merge pull request #19483 from markdryan/markdryan/fix-bfcallocator-align
Fix BFCAllocator::Extend alignment issues
Alexandre Passos [Fri, 25 May 2018 23:43:40 +0000 (16:43 -0700)]
Ignore while loops instead of mangling them in the automatic control dependencies.
PiperOrigin-RevId:
198122188
A. Unique TensorFlower [Fri, 25 May 2018 23:43:29 +0000 (16:43 -0700)]
Extracts the 'remove reverse node' optimization into its own method.
PiperOrigin-RevId:
198122165
Robin Richtsfeld [Fri, 25 May 2018 23:38:33 +0000 (01:38 +0200)]
Fix of issue #13164 (Merges #13382) (#16368)
* tf.gather int64 GPU, tf.gather_nd int32/int64 GPU, tf.scatter_nd int32 GPU
* Fix tf.gather test
A. Unique TensorFlower [Fri, 25 May 2018 23:07:25 +0000 (16:07 -0700)]
Automated g4 rollback of changelist
198087342
PiperOrigin-RevId:
198117552
Tatiana Shpeisman [Fri, 25 May 2018 22:52:39 +0000 (15:52 -0700)]
Merge pull request #19364 from Intel-tensorflow/agramesh/mkl_v14_fix2
[INTEL MKL] Upgrading to MKL DNN v.14
Tatiana Shpeisman [Fri, 25 May 2018 22:51:00 +0000 (15:51 -0700)]
Merge pull request #19540 from Intel-tensorflow/mkl_registration_fix
INTEL-MKL: Fix an issue related to MKL op registration
Michael Case [Fri, 25 May 2018 22:33:36 +0000 (15:33 -0700)]
Merge pull request #19558 from bzier/patch-1
Updated embedding column example
Michael Case [Fri, 25 May 2018 22:28:58 +0000 (15:28 -0700)]
Merge pull request #19544 from yongtang/
05182018-duplicate-import
Remove duplicate `from six import text_type` in upload_test_benchmarks.py
Nick Felt [Fri, 25 May 2018 22:11:46 +0000 (15:11 -0700)]
Add warning to LookupOrCreate about reentrancy issue
PiperOrigin-RevId:
198110382
ankurtaly [Fri, 25 May 2018 21:43:38 +0000 (14:43 -0700)]
Merge pull request #19470 from ankurtaly/branch_197583446
Branch
197583446
Igor Ganichev [Fri, 25 May 2018 20:58:51 +0000 (13:58 -0700)]
Add EagerTensor profiler and device shape utilities
This change includes the following steps to make
EagerTensor profiler work:
- Add a PaddedShapeFn to XlaDevice::Metadata. We need a
backend-independent way to get a fully-padded shape and
its layout on the device. This function is set during
device construction. CPU and GPU devices effectively get
an identity function since they neither change the layout
nor pad. TPU gets the appropriate function.
- Add TFE_TensorDebugInfo struct and C API methods for it.
These methods are necessary to fetch the shape and layout
from under the C API to the Python level. This can be a home
for more debug information later.
- Make EagerTensor weak referencable. This involves adding a
pointer to the list of current weak references. This addition
should have negligible overhead when profiler is not used.
The only operations on this field are setting it to null on
construction and checking if it is null on destruction.
- Adding C++ functions callable from Python to register an instance
of EagerTensorProfiler and retrieve debug information for a given
EagerTensor. These functions are used in the new "inspect" module.
- Finally, writing the actual profiler.
PiperOrigin-RevId:
198098380
A. Unique TensorFlower [Fri, 25 May 2018 20:44:36 +0000 (13:44 -0700)]
Disable //tensorflow/contrib/lite/python:lite_test on Windows
PiperOrigin-RevId:
198096344
A. Unique TensorFlower [Fri, 25 May 2018 20:39:25 +0000 (13:39 -0700)]
[tpu:profiler] Capture the data for generating a memory viewer of the profiling results.
PiperOrigin-RevId:
198095564
Sanjoy Das [Fri, 25 May 2018 20:38:24 +0000 (13:38 -0700)]
[TF:XLA] Bump open source llvm revision to r333273
PiperOrigin-RevId:
198095416
Alexandre Passos [Fri, 25 May 2018 20:20:13 +0000 (13:20 -0700)]
Public API to switch between eager execution and graph building.
Now, after tf.enable_eager_execution() has been executed, entering the context
manager of a tf.Graph will enable graph mode. So, for example
```
tf.enable_eager_execution()
with tf.Graph().as_default():
c = tf.constant(1.0) # this is a graph tensor
c2 = tf.constant(1.0) # this is an eager tensor
```
The main use-case of this is allowing documentation writers to make a single
notebook which starts with eager execution and seamlessly transitions to
building graphs.
This also makes many explicit enablings of graph mode in the code redundant
(a cleanup cl will follow).
PiperOrigin-RevId:
198092991
A. Unique TensorFlower [Fri, 25 May 2018 19:58:55 +0000 (12:58 -0700)]
Use functions to build dense splits. Tensorflow Function invocations share the same graph so using them reduces the graph construction overhead.
PiperOrigin-RevId:
198090110
A. Unique TensorFlower [Fri, 25 May 2018 19:56:40 +0000 (12:56 -0700)]
[tpu:profiler] Minor change in the description of tool name proto.
PiperOrigin-RevId:
198089875
A. Unique TensorFlower [Fri, 25 May 2018 19:54:49 +0000 (12:54 -0700)]
Add ScopedAllocatorOptimizer in support of CollectiveReduce.
The efficiency of CollectiveReduce is greatly improved by merging
multiple parallel reductions over smaller tensors into a single
reduction over a larger tensor that is the concatentation of the
smaller tensors. Because CollectiveReduce is essentially an
element-wise array operation which operates on a 1-D reshape of
the input tensor it is eligible for a ScopedAllocation optimization.
The optimization works by looking for serially independent instances
of CollectiveReduce that lie within the same name-scope tier and
have the same control-flow (e.g. loop) embedding structure. Where
two or more such nodes are found the upstream nodes that generate
their inputs are modified to write their outputs into consecutive
regions of a single tensor buffer maintained by a ScopedAllocator.
The multiple CollectiveReduce nodes are then replaced by a single
CollectiveReduce that operates in-place on the backing buffer.
The effectiveness of the optimization depends on there being candidate
CollectiveReduce nodes with these characteristics that become eligible
for execution at close to the same time. If the name scope is too
large, and includes nodes that become execution eligible at very different
times, this graph rewrite could result in a slowdown.
Note that this optimization is experimental: it is not guaranteed to
work, especially for ops other than CollectiveReduce.
PiperOrigin-RevId:
198089642
Tatiana Shpeisman [Fri, 25 May 2018 19:49:54 +0000 (12:49 -0700)]
Merge pull request #19479 from Intel-tensorflow/concat_build_fix
INTEL-MKL: Fix build issue with old GCC version - MklConcat related
A. Unique TensorFlower [Fri, 25 May 2018 19:35:50 +0000 (12:35 -0700)]
enhance Tensorflow GBDT and GBRT model by exposing a new two dimensional output in prediction ops (example id, tree leaf node index id) for input as other model features
PiperOrigin-RevId:
198087342
A. Unique TensorFlower [Fri, 25 May 2018 19:22:45 +0000 (12:22 -0700)]
Extracts the 'simplify slice' optimization into its own method.
PiperOrigin-RevId:
198085532
Peter Hawkins [Fri, 25 May 2018 19:04:49 +0000 (12:04 -0700)]
[TF:XLA] Register Switch and Merge ops on XLA devices.
PiperOrigin-RevId:
198083156
Derek Murray [Fri, 25 May 2018 18:42:33 +0000 (11:42 -0700)]
Automated g4 rollback of changelist
192848921
PiperOrigin-RevId:
198079927
A. Unique TensorFlower [Fri, 25 May 2018 18:34:30 +0000 (11:34 -0700)]
Extracts the 'simplify strided slice' optimization into its own method.
PiperOrigin-RevId:
198078724
Igor Ganichev [Fri, 25 May 2018 18:27:39 +0000 (11:27 -0700)]
Bump TPU batch size and wrap apply_grads in defun
PiperOrigin-RevId:
198077643
Akshay Modi [Fri, 25 May 2018 18:02:42 +0000 (11:02 -0700)]
Release C++ lock before calling back into python
PiperOrigin-RevId:
198073059
A. Unique TensorFlower [Fri, 25 May 2018 17:54:38 +0000 (10:54 -0700)]
DepthwiseConv optimizations.
PiperOrigin-RevId:
198071709
Brian Zier [Fri, 25 May 2018 17:49:57 +0000 (10:49 -0700)]
Updated embedding column example
The embedding column example had a comment that seemed to incorrectly relate to the indicator column. Updated the comment to reflect the embedding column info. Also updated the name of the dimension variable to be consistent with the example from a few lines earlier.
Mark Daoust [Fri, 25 May 2018 17:45:27 +0000 (10:45 -0700)]
Link to tf.estimator docs for premade estimators.
PiperOrigin-RevId:
198070157
Asim Shankar [Fri, 25 May 2018 17:38:23 +0000 (10:38 -0700)]
Merge pull request #17331 from kbsriram/easy-nn-grads
C++ gradients: Fractional*Pool, Soft{Plus,Sign}
Michael Case [Fri, 25 May 2018 16:54:36 +0000 (09:54 -0700)]
Merge pull request #19532 from yongtang/
05242018-gemmlowp
Enable mirror.bazel.build link for gemmlowp
Michael Case [Fri, 25 May 2018 16:36:45 +0000 (09:36 -0700)]
Merge pull request #19553 from silvasean/patch-1
Fix broken link
A. Unique TensorFlower [Fri, 25 May 2018 15:55:24 +0000 (08:55 -0700)]
Code simplification in dump_graphviz.cc:
Just output all arrays, before writing edges, so we don't
need to keep track of which arrays we've already output.
PiperOrigin-RevId:
198055327
Shanqing Cai [Fri, 25 May 2018 13:56:38 +0000 (06:56 -0700)]
Minor clarification to model_to_estimator() doc string
PiperOrigin-RevId:
198044106
Asim Shankar [Fri, 25 May 2018 09:23:06 +0000 (02:23 -0700)]
eager: Update introduction notebooks.
PiperOrigin-RevId:
198022387
Asim Shankar [Fri, 25 May 2018 08:36:23 +0000 (01:36 -0700)]
Fix typo, fix build.
PiperOrigin-RevId:
198017870
Sean Silva [Fri, 25 May 2018 07:27:46 +0000 (00:27 -0700)]
Fix broken link
Also, as a side note, I found this link confusing. I was expecting it to take me to a list of pre-made estimators. Not a definition of what a pre-made estimator is. (maybe the glossary definition should link to a list of pre-made estimators?)
ted chang [Fri, 25 May 2018 06:21:46 +0000 (23:21 -0700)]
Fix cmake for MacOS (#17005)
This change address cmake build issues for MacOS.
Also fixes #14712
A. Unique TensorFlower [Fri, 25 May 2018 03:36:45 +0000 (20:36 -0700)]
Extracts the 'simplify tile node' optimization into its own method.
PiperOrigin-RevId:
197996636
A. Unique TensorFlower [Fri, 25 May 2018 02:49:05 +0000 (19:49 -0700)]
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId:
197993384