Merge pull request #2 from tensorflow/master

update

Author: musikisomorphie

.bazelrc

@@ -9,6 +9,12 @@ build:android_arm --fat_apk_cpu=armeabi-v7a
 build:android_arm64 --config=android
 build:android_arm64 --cpu=arm64-v8a
 build:android_arm64 --fat_apk_cpu=arm64-v8a
+build:android_x86 --config=android
+build:android_x86 --cpu=x86
+build:android_x86 --fat_apk_cpu=x86
+build:android_x86_64 --config=android
+build:android_x86_64 --cpu=x86_64
+build:android_x86_64 --fat_apk_cpu=x86_64
 
 # Sets the default Apple platform to macOS.
 build --apple_platform_type=macos
@@ -39,32 +45,46 @@ build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0
 
 build:download_clang --crosstool_top=@local_config_download_clang//:toolchain
 build:download_clang --define=using_clang=true
+build:download_clang --action_env TF_DOWNLOAD_CLANG=1
 # Instruct clang to use LLD for linking.
 # This only works with GPU builds currently, since Bazel sets -B/usr/bin in
 # auto-generated CPU crosstool, forcing /usr/bin/ld.lld to be preferred over
 # the downloaded one.
 build:download_clang_use_lld --linkopt='-fuse-ld=lld'
 
-build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
-build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true
+# This config refers to building with CUDA available. It does not necessarily
+# mean that we build CUDA op kernels.
+build:using_cuda --define=using_cuda=true
+build:using_cuda --action_env TF_NEED_CUDA=1
+build:using_cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
+
+# This config refers to building CUDA op kernels with nvcc.
+build:cuda --config=using_cuda
+build:cuda --define=using_cuda_nvcc=true
+
+# This config refers to building CUDA op kernels with clang.
+build:cuda_clang --config=using_cuda
+build:cuda_clang --define=using_cuda_clang=true
+build:cuda_clang --define=using_clang=true
+
+build:tensorrt --action_env TF_NEED_TENSORRT=1
 
 build:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain
 build:rocm --define=using_rocm=true --define=using_rocm_hipcc=true
-
-build:cuda_clang --crosstool_top=@local_config_cuda//crosstool:toolchain
-build:cuda_clang --define=using_cuda=true --define=using_cuda_clang=true --define=using_clang=true
+build:rocm --action_env TF_NEED_ROCM=1
 
 build:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain
-build:sycl --define=using_sycl=true --define=using_trisycl=false
+build:sycl --define=using_sycl=true
+build:sycl --action_env TF_NEED_OPENCL_SYCL=1
 
-build:sycl_nodouble --crosstool_top=@local_config_sycl//crosstool:toolchain
-build:sycl_nodouble --define=using_sycl=true --cxxopt -DTENSORFLOW_SYCL_NO_DOUBLE
+build:sycl_nodouble --config=sycl
+build:sycl_nodouble --cxxopt -DTENSORFLOW_SYCL_NO_DOUBLE
 
-build:sycl_asan --crosstool_top=@local_config_sycl//crosstool:toolchain
-build:sycl_asan --define=using_sycl=true --define=using_trisycl=false --copt -fno-omit-frame-pointer --copt -fsanitize-coverage=3 --copt -DGPR_NO_DIRECT_SYSCALLS --linkopt -fPIC --linkopt -fsanitize=address
+build:sycl_nodouble --config=sycl
+build:sycl_asan --copt -fno-omit-frame-pointer --copt -fsanitize-coverage=3 --copt -DGPR_NO_DIRECT_SYSCALLS --linkopt -fPIC --linkopt -fsanitize=address
 
-build:sycl_trisycl --crosstool_top=@local_config_sycl//crosstool:toolchain
-build:sycl_trisycl --define=using_sycl=true --define=using_trisycl=true
+build:sycl_nodouble --config=sycl
+build:sycl_trisycl --define=using_trisycl=true
 
 # Options extracted from configure script
 build:gdr --define=with_gdr_support=true
@@ -87,6 +107,9 @@ build --spawn_strategy=standalone
 build --strategy=Genrule=standalone
 build -c opt
 
+# Make Bazel print out all options from rc files.
+build --announce_rc
+
 # Other build flags.
 build --define=grpc_no_ares=true
 
@@ -97,14 +120,36 @@ build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS
 # Build TF with C++ 17 features.
 build:c++17 --cxxopt=-std=c++1z
 build:c++17 --cxxopt=-stdlib=libc++
-build:c++1z --cxxopt=-std=c++1z
-build:c++1z --cxxopt=-stdlib=libc++
+build:c++1z --config=c++17
 
 # Default paths for TF_SYSTEM_LIBS
 build --define=PREFIX=/usr
 build --define=LIBDIR=$(PREFIX)/lib
 build --define=INCLUDEDIR=$(PREFIX)/include
 
+# Suppress all warning messages.
+build:short_logs --output_filter=DONT_MATCH_ANYTHING
+
+# Options when using remote execution
+build:rbe --action_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
+build:rbe --auth_enabled=true
+build:rbe --auth_scope=https://www.googleapis.com/auth/cloud-source-tools
+build:rbe --define=EXECUTOR=remote
+build:rbe --flaky_test_attempts=3
+build:rbe --jobs=200
+build:rbe --remote_accept_cached=true
+build:rbe --remote_cache=remotebuildexecution.googleapis.com
+build:rbe --remote_executor=remotebuildexecution.googleapis.com
+build:rbe --remote_local_fallback=false
+build:rbe --remote_timeout=600
+build:rbe --spawn_strategy=remote
+build:rbe --strategy=Genrule=remote
+build:rbe --strategy=Closure=remote
+build:rbe --strategy=Javac=remote
+build:rbe --strategy=TestRunner=remote
+build:rbe --tls_enabled
+test:rbe --test_env=USER=anon
+
 # Default options should come above this line
 
 # Options from ./configure

.github/ISSUE_TEMPLATE/00-bug-performance-issue.md

@@ -18,10 +18,11 @@ about: Use this template for reporting a bug or a performance issue.
 - CUDA/cuDNN version:
 - GPU model and memory:
 
-
-You can collect some of this information using our environment capture [script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)
-You can also obtain the TensorFlow version with
-python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
+You can collect some of this information using our environment capture
+[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)
+You can also obtain the TensorFlow version with: 1. TF 1.0: `python -c "import
+tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` 2. TF 2.0: `python -c
+"import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"`
 
 **Describe the current behavior**
 

.github/ISSUE_TEMPLATE/20-documentation-issue.md

@@ -1,17 +1,55 @@
 ---
 name: Documentation Issue
-about: Use this template for documentation related issues
+about: Use this template for documentation related
+labels: 'type:docs'
 
 ---
 
-<em>Please make sure that this is a documentation issue. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template</em>
+Thank you for submitting a TensorFlow documentation issue. Per our GitHub
+policy, we only address code/doc bugs, performance issues, feature requests, and
+build/installation issues on GitHub.
 
+The TensorFlow docs are open source! To get involved, read the documentation
+contributor guide: https://www.tensorflow.org/community/contribute/docs
 
-**System information**
-- TensorFlow version:
-- Doc Link:
+## URL(s) with the issue:
 
+Please provide a link to the documentation entry, for example:
+https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/MyMethod
 
-**Describe the documentation issue**
+## Description of issue (what needs changing):
 
-**We welcome contributions by users. Will you be able to update submit a PR (use the [doc style guide](https://www.tensorflow.org/community/documentation)) to fix the doc Issue?**
+### Clear description
+
+For example, why should someone use this method? How is it useful?
+
+### Correct links
+
+Is the link to the source code correct?
+
+### Parameters defined
+
+Are all parameters defined and formatted correctly?
+
+### Returns defined
+
+Are return values defined?
+
+### Raises listed and defined
+
+Are the errors defined? For example,
+https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/feature_column/categorical_column_with_vocabulary_file#raises
+
+### Usage example
+
+Is there a usage example?
+
+### Request visuals, if applicable
+
+Are there currently visuals? If not, will it clarify the content?
+
+### Submit a pull request?
+
+Are you planning to also submit a pull request to fix the issue? See the docs
+contributor guide: https://www.tensorflow.org/community/contribute/docs and the
+docs style guide: https://www.tensorflow.org/community/contribute/docs_style

.gitignore

@@ -20,18 +20,8 @@ tensorflow/contrib/cmake/_build/
 [Bb]uild/
 /tensorflow/core/util/version_info.cc
 /tensorflow/python/framework/fast_tensor_util.cpp
-Pods
-Podfile.lock
-*.pbxproj
-*.xcworkspacedata
-/*.podspec
-/tensorflow/lite/experimental/objc/BUILD
-/tensorflow/lite/experimental/swift/BUILD
-/tensorflow/lite/examples/ios/simple/data/*.txt
-/tensorflow/lite/examples/ios/simple/data/*.tflite
 /tensorflow/lite/gen/**
 /tensorflow/lite/tools/make/downloads/**
-xcuserdata/**
 /api_init_files_list.txt
 /estimator_api_init_files_list.txt
 *.whl
@@ -42,3 +32,14 @@ xcuserdata/**
 *.iml
 local.properties
 gradleBuild
+
+# iOS
+*.pbxproj
+*.xcworkspace
+/*.podspec
+/tensorflow/lite/**/[ios|objc|swift]*/BUILD
+/tensorflow/lite/examples/ios/simple/data/*.tflite
+/tensorflow/lite/examples/ios/simple/data/*.txt
+Podfile.lock
+Pods
+xcuserdata

CODEOWNERS

@@ -1,12 +1,13 @@
 # Where component owners are known, add them here.
 
+/tensorflow/c/eager @jaingurav @alextp
+/tensorflow/core/common_runtime/eager @jaingaurav @alextp
 /tenosrflow/core/debug @caisq
 /tensorflow/core/nccl/ @azaks2 @chsigg
 /tensorflow/core/platform/windows/ @mrry
 /tensorflow/core/platform/s3 @yongtang
-/tensorflow/go @asimshankar
-/tensorflow/java/ @asimshankar
 /tensorflow/python/debug @caisq
+/tensorflow/python/eager @jaingurav @alextp
 /tensorflow/python/tools/api/generator/ @annarev
 /tensorflow/tensorboard/ @jart
 /tensorflow/tools/docs/ @markdaoust
@@ -25,7 +26,7 @@
 /tensorflow/contrib/data/ @mrry
 /tensorflow/tensorflow/contrib/distribute @joshl @priyag @sourabhbajaj @frankchn
 /tensorflow/contrib/distributions/ @jvdillon @langmore @rsepassi
-/tensorflow/contrib/eager @alextp @asimshankar
+/tensorflow/contrib/eager @jaingurav @alextp
 /tensorflow/contrib/factorization/ @agarwal-ashish @xavigonzalvo
 /tensorflow/contrib/ffmpeg/ @fredbertsch
 /tensorflow/contrib/framework/ @ebrevdo

CONTRIBUTING.md

@@ -38,7 +38,13 @@ working on getting your pull request submitted to our internal repository. After
 the change has been submitted internally, your pull request will be merged
 automatically on GitHub.
 
-If you want to contribute but you're not sure where to start, take a look at the
+If you want to contribute, start working through the TensorFlow codebase,
+navigate to the
+[Github "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
+looking through interesting issues. If you are not sure of where to start, then
+start by trying one of the smaller/easier issues here i.e.
+[issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue)
+and then take a look at the
 [issues with the "contributions welcome" label](https://github.com/tensorflow/tensorflow/labels/stat%3Acontributions%20welcome).
 These are issues that we believe are particularly well suited for outside
 contributions, often because we probably won't get to them right now. If you
@@ -157,16 +163,16 @@ There are two ways to run TensorFlow unit tests.
 1.  Using tools and libraries installed directly on your system.
 
     Refer to the
-    [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel)
+    [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile)
     and
-    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel-gpu)
+    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
     for the required packages. Alternatively, use the said
     [Docker images](https://hub.docker.com/r/tensorflow/tensorflow/tags/), e.g.,
-    `tensorflow/tensorflow:nightly-devel` and
-    `tensorflow/tensorflow:nightly-devel-gpu` for development to avoid
-    installing the packages directly on your system (in which case remember to
-    change directory from `/root` to `/tensorflow` once you get into the running
-    container so `bazel` can find the `tensorflow` workspace).
+    `tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` for
+    development to avoid installing the packages directly on your system (in
+    which case remember to change directory from `/root` to `/tensorflow` once
+    you get into the running container so `bazel` can find the `tensorflow`
+    workspace).
 
     Once you have the packages installed, you can run a specific unit test in
     bazel by doing as follows:

ISSUES.md

@@ -5,5 +5,5 @@ out. 3. The issue should be related to the repo it is created in.
 
 **Here's why we have this policy:** We want to focus on the work that benefits
 the whole community, e.g., fixing bugs and adding features. Individual support
-should be seeked on StackOverflow or other non-GitHub channels. It helps us to
+should be sought on Stack Overflow or other non-GitHub channels. It helps us to
 address bugs and feature requests in a timely manner.

ISSUE_TEMPLATE.md

@@ -32,7 +32,7 @@ https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh
 You can obtain the TensorFlow version with:
 
 ```bash
-python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
+python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"
 ```
 
 ### Describe the problem

LICENSE

@@ -1,4 +1,4 @@
-Copyright 2018 The TensorFlow Authors.  All rights reserved.
+Copyright 2019 The TensorFlow Authors.  All rights reserved.
 
                                  Apache License
                            Version 2.0, January 2004
@@ -188,7 +188,7 @@ Copyright 2018 The TensorFlow Authors.  All rights reserved.
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2017, The TensorFlow Authors.
+   Copyright [yyyy] [name of copyright owner]
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.