Merge pull request #2 from petewarden/master

Update the branch to the latest TensorFlow version

Author: snease-abq

tools/bazel.rc renamed to .bazelrc

@@ -76,7 +76,6 @@ build:nonccl --define=no_nccl_support=true
 
 build --define=use_fast_cpp_protos=true
 build --define=allow_oversize_protos=true
-build --define=grpc_no_ares=true
 
 build --spawn_strategy=standalone
 build --genrule_strategy=standalone
@@ -93,3 +92,14 @@ build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS
 build --define=PREFIX=/usr
 build --define=LIBDIR=$(PREFIX)/lib
 build --define=INCLUDEDIR=$(PREFIX)/include
+
+# Disable MKL-DNN contraction kernels by default.
+build --define=tensorflow_mkldnn_contraction_kernel=0
+
+# Default options should come above this line
+
+# Options from ./configure
+try-import %workspace%/.tf_configure.bazelrc
+
+# Put user-specific options in .bazelrc.user
+try-import %workspace%/.bazelrc.user

.gitignore

@@ -1,7 +1,7 @@
 .DS_Store
 .ipynb_checkpoints
 node_modules
-/.bazelrc
+/.bazelrc.user
 /.tf_configure.bazelrc
 /bazel-*
 /bazel_pip

CODEOWNERS

@@ -1,7 +1,7 @@
 # Where component owners are known, add them here.
 
 /tenosrflow/core/debug @caisq
-/tensorflow/core/nccl/ @azaks @csigg
+/tensorflow/core/nccl/ @azaks2 @chsigg
 /tensorflow/core/platform/windows/ @mrry
 /tensorflow/core/platform/s3 @yongtang
 /tensorflow/go @asimshankar
@@ -51,13 +51,13 @@
 /tensorflow/contrib/pi_examples/ @maciekcc
 /tensorflow/contrib/quantization/ @petewarden
 /tensorflow/contrib/rnn/ @ebrevdo @scottzhu
-/tensorflow/contrib/saved_model/ @nfiedel @sukritiramesh @allenl
+/tensorflow/contrib/saved_model/ @nfiedel @sukritiramesh @allenlavoie
 /tensorflow/contrib/seq2seq/ @ebrevdo @lmthang
 /tensorflow/contrib/session_bundle/ @nfiedel @sukritiramesh
 /tensorflow/contrib/slim/ @sguada @thenbasilmanran
 /tensorflow/contrib/stateless/ @girving @alextp
 /tensorflow/contrib/tensor_forest/ @gilberthendry @thomascolthurst @yupbank
-/tensorflow/contrib/tensorrt/ @aaroey
+/tensorflow/contrib/tensorrt/ @aaroey @smit-hinsu @azaks2
 # NEED OWNER: /tensorflow/contrib/testing/
 /tensorflow/contrib/timeseries/ @allenlavoie
 /tensorflow/contrib/tpu/ @frankchn @saeta @jhseu @sourabhbajaj

README.md

@@ -113,11 +113,12 @@ The TensorFlow project strives to abide by generally accepted best practices in
 Build Type                                                                                                                                                                                      | Status                                                                                                                                                                                   | Artifacts
 ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------
 **IBM s390x**                                                                                                                                                                                   | [![Build Status](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/badge/icon)](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/)                                                        | TBA
-**IBM ppc64le CPU**                                                                                                                                                                             | [![Build Status](http://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/badge/icon)](http://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/)                                    | TBA
-**IBM ppc64le GPU** Nightly                                                                                                                                                                     | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)            | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)
-**IBM ppc64le GPU** Stable Release                                                                                                                                                              | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)                  | [Release](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)
+**Linux ppc64le CPU** Nightly                                                                                                                                                                   | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/)                                  | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Nightly_Artifact/)
+**Linux ppc64le CPU** Stable Release                                                                                                                                                            | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Release_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Release_Build/)                  | [Release](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Release_Build/)
+**Linux ppc64le GPU** Nightly                                                                                                                                                                   | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/)                                  | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)
+**Linux ppc64le GPU** Stable Release                                                                                                                                                            | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)                  | [Release](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)
 **Linux CPU with Intel® MKL-DNN** Nightly                                                                                                                                                       | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-linux-cpu/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-linux-cpu/)                                | [Nightly](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/)
-**Linux CPU with Intel® MKL-DNN** Python 2.7<br> **Linux CPU with Intel® MKL-DNN** Python 3.4<br> **Linux CPU with Intel® MKL-DNN** Python 3.5<br> **Linux CPU with Intel® MKL-DNN** Python 3.6 | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/lastStableBuild) | [1.11.0 py2.7](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp27-cp27mu-linux_x86_64.whl)<br>[1.11.0 py3.4](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp34-cp34m-linux_x86_64.whl)<br>[1.11.0 py3.5](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp35-cp35m-linux_x86_64.whl)<br>[1.11.0 py3.6](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl)
+**Linux CPU with Intel® MKL-DNN** Python 2.7<br> **Linux CPU with Intel® MKL-DNN** Python 3.4<br> **Linux CPU with Intel® MKL-DNN** Python 3.5<br> **Linux CPU with Intel® MKL-DNN** Python 3.6 | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/lastStableBuild) | [1.12.0 py2.7](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.12.0-cp27-cp27mu-linux_x86_64.whl)<br>[1.12.0 py3.4](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.12.0-cp34-cp34m-linux_x86_64.whl)<br>[1.12.0 py3.5](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.12.0-cp35-cp35m-linux_x86_64.whl)<br>[1.12.0 py3.6](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl)
 
 ## For more information
 

RELEASE.md

@@ -7,6 +7,8 @@
     Serving.
 *   Keras models now support evaluating with a `tf.data.Dataset`.
 *   TensorFlow binaries are built with XLA support linked in by default.
+*   Ignite Dataset added to contrib/ignite that allows to work with Apache
+    Ignite.
 
 ## Bug Fixes and Other Changes
 
@@ -280,50 +282,76 @@ Ag Ramesh, Alex Wiltschko, Alexander Pantyukhin, Amogh Mannekote, An Jiaoyang, A
 
 ## Bug Fixes and Other Changes
 
-* `tfe.Network` is deprecated. Please inherit from `tf.keras.Model`.
-* Layered variable names have changed in the following conditions:
-  * Using `tf.keras.layers` with custom variable scopes.
-  * Using `tf.layers` in  a subclassed `tf.keras.Model` class. See
-    [here](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/layers) for more details
-* `tf.data`:
-  * `Dataset.from_generator()` now accepts an `args` list, in order to create nested generators.
-  * `Dataset.list_files()` now produces determinstic results when `shuffle=False` or a `seed` is passed.
-  * `tf.contrib.data.sample_from_datasets()` and `tf.contrib.data.choose_from_datasets()` make it easier to sample or deterministically choose elements from multiple datasets.
-  * `tf.contrib.data.make_csv_dataset()` now supports line breaks in quoted strings, and two infrequently used arguments removed.
-  * (C++) `DatasetBase::DebugString()` is now `const`.
-  * (C++) `DatasetBase::MakeIterator()` has been renamed to `DatasetBase::MakeIteratorInternal()`.
-  * (C++) `IteratorBase::Initialize()` method was added to support raising errors during iterator construction.
-* Eager Execution:
-  * Added the ability to pause recording operations for gradient computation via `tf.GradientTape.stop_recording`.
-  * Updated documentation, introductory notebooks.
-* `tf.keras`:
-  * Move Keras code out of _impl folder and remove API files.
-  * `tf.keras.Model.save_weights` now saves in TensorFlow format by default.
-  * Enable dataset iterators to be passed to `tf.keras.Model` training/eval methods.
-* TensorFlow Debugger (tfdbg) CLI: fix an issue in which the TensorBoard Debugger Plugin could not handle total source file size exceeding gRPC message size limit (4 MB).
-* `tf.contrib`:
-  * `tf.contrib.framework.zero_initializer` supports ResourceVariable.
-  * Adding "constrained_optimization" to tensorflow/contrib.
-* Other:
-  * Add GCS Configuration Ops.
-  * Changing signature of `MakeIterator` to enable propagating error status.
-  * KL divergence for two Dirichlet distributions.
-  * More consistent GcsFileSystem behavior for certain reads past EOF.
-  * Update benchmark for tf.scan to match ranges across eager and graph modes.
-  * Fixed bug in `tf.reduce_prod gradient` for complex dtypes.
-  * Allow the use of '.' in variables (e.g. "hparams.parse('a.b=1.0')"), which would previously raise an error. This will correspond to an attribute name with an embedded '.' symbol (e.g. 'a.b'), which can only be accessed indirectly (e.g. through getattr and setattr).  To set this up the user will first need to explicitly add the variable to the hparam object (e.g. "hparams.add_hparam(name='a.b', value=0.0)").
-  * Benchmark for tf.scan in graph and eager modes.
-  * Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D.
-  * Making ids unique in `nn.embedding_lookup_sparse`. This helps to reduce RPC calls for looking up the embeddings when there are repeated ids in the batch.
-  * Support indicator column in boosted trees.
-  * Prevent `tf.gradients()` from backpropagating through integer tensors.
-  * LinearOperator[1D,2D,3D]Circulant added to `tensorflow.linalg`.
-  * Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports arbitrary.
-  * Added `tf.train.Checkpoint` for reading/writing object-based checkpoints.
-  * Added LinearOperatorKronecker, a dense-free implementation of the Kronecker Product.
-  * Allow LinearOperator to broadcast.
-  * SavedModelBuilder will now deduplicate asset names that point to files with the same basename and the same contents. Note that this may result in new asset files included in SavedModels in cases where assets with the same name but different contents were previously overwriting each other.
-
+*   `tfe.Network` is deprecated. Please inherit from `tf.keras.Model`.
+*   Layered variable names have changed in the following conditions:
+    *   Using `tf.keras.layers` with custom variable scopes.
+    *   Using `tf.layers` in a subclassed `tf.keras.Model` class. See
+        [here](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/layers)
+        for more details
+*   `tf.data`:
+    *   `Dataset.from_generator()` now accepts an `args` list, in order to
+        create nested generators.
+    *   `Dataset.list_files()` now produces deterministic results when
+        `shuffle=False` or a `seed` is passed.
+    *   `tf.contrib.data.sample_from_datasets()` and
+        `tf.contrib.data.choose_from_datasets()` make it easier to sample or
+        deterministically choose elements from multiple datasets.
+    *   `tf.contrib.data.make_csv_dataset()` now supports line breaks in quoted
+        strings, and two infrequently used arguments removed.
+    *   (C++) `DatasetBase::DebugString()` is now `const`.
+    *   (C++) `DatasetBase::MakeIterator()` has been renamed to
+        `DatasetBase::MakeIteratorInternal()`.
+    *   (C++) `IteratorBase::Initialize()` method was added to support raising
+        errors during iterator construction.
+*   Eager Execution:
+    *   Added the ability to pause recording operations for gradient computation
+        via `tf.GradientTape.stop_recording`.
+    *   Updated documentation, introductory notebooks.
+*   `tf.keras`:
+    *   Move Keras code out of _impl folder and remove API files.
+    *   `tf.keras.Model.save_weights` now saves in TensorFlow format by default.
+    *   Enable dataset iterators to be passed to `tf.keras.Model` training/eval
+        methods.
+*   TensorFlow Debugger (tfdbg) CLI: fix an issue in which the TensorBoard
+    Debugger Plugin could not handle total source file size exceeding gRPC
+    message size limit (4 MB).
+*   `tf.contrib`:
+    *   `tf.contrib.framework.zero_initializer` supports ResourceVariable.
+    *   Adding "constrained_optimization" to tensorflow/contrib.
+*   Other:
+    *   Add GCS Configuration Ops.
+    *   Changing signature of `MakeIterator` to enable propagating error status.
+    *   KL divergence for two Dirichlet distributions.
+    *   More consistent GcsFileSystem behavior for certain reads past EOF.
+    *   Update benchmark for tf.scan to match ranges across eager and graph
+        modes.
+    *   Fixed bug in `tf.reduce_prod gradient` for complex dtypes.
+    *   Allow the use of '.' in variables (e.g. "hparams.parse('a.b=1.0')"),
+        which would previously raise an error. This will correspond to an
+        attribute name with an embedded '.' symbol (e.g. 'a.b'), which can only
+        be accessed indirectly (e.g. through getattr and setattr). To set this
+        up the user will first need to explicitly add the variable to the hparam
+        object (e.g. "hparams.add_hparam(name='a.b', value=0.0)").
+    *   Benchmark for tf.scan in graph and eager modes.
+    *   Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D.
+    *   Making ids unique in `nn.embedding_lookup_sparse`. This helps to reduce
+        RPC calls for looking up the embeddings when there are repeated ids in
+        the batch.
+    *   Support indicator column in boosted trees.
+    *   Prevent `tf.gradients()` from backpropagating through integer tensors.
+    *   LinearOperator[1D,2D,3D]Circulant added to `tensorflow.linalg`.
+    *   Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports
+        arbitrary.
+    *   Added `tf.train.Checkpoint` for reading/writing object-based
+        checkpoints.
+    *   Added LinearOperatorKronecker, a dense-free implementation of the
+        Kronecker Product.
+    *   Allow LinearOperator to broadcast.
+    *   SavedModelBuilder will now deduplicate asset names that point to files
+        with the same basename and the same contents. Note that this may result
+        in new asset files included in SavedModels in cases where assets with
+        the same name but different contents were previously overwriting each
+        other.
 
 ## Thanks to our Contributors