Upgrade for TensorFlow 2.5.0

.github/workflows/ci.yml

@@ -89,7 +89,7 @@ jobs:
     needs: prepare
     strategy:
       matrix:
-        ext: ["", -mkl, -gpu] #, -mkl-gpu]
+        ext: ["", -gpu] #, -mkl, -mkl-gpu]
     steps:
       - name: Install environment
         run: |
@@ -104,7 +104,7 @@ jobs:
           tar xzf $HOME/apache-maven-3.6.3-bin.tar.gz -C /opt/
           ln -sf /opt/apache-maven-3.6.3/bin/mvn /usr/bin/mvn
           echo Downloading Bazel
-          curl -L https://github.com/bazelbuild/bazel/releases/download/3.1.0/bazel-3.1.0-installer-linux-x86_64.sh -o bazel.sh --retry 10
+          curl -L https://github.com/bazelbuild/bazel/releases/download/3.7.2/bazel-3.7.2-installer-linux-x86_64.sh -o bazel.sh --retry 10
           bash bazel.sh
           if [[ "${{ matrix.ext }}" == *-gpu ]]; then
           echo Installing CUDA
@@ -153,13 +153,13 @@ jobs:
     needs: prepare
     strategy:
       matrix:
-        ext: ["", -mkl]
+        ext: [""] # , -mkl]
     steps:
       - name: Install environment
         run: |
           python3 -m pip install numpy six
           echo Downloading Bazel
-          curl -L https://github.com/bazelbuild/bazel/releases/download/3.1.0/bazel-3.1.0-installer-darwin-x86_64.sh -o bazel.sh --retry 10
+          curl -L https://github.com/bazelbuild/bazel/releases/download/3.7.2/bazel-3.7.2-installer-darwin-x86_64.sh -o bazel.sh --retry 10
           bash bazel.sh
           brew install libomp perl
       - name: Checkout repository
@@ -189,7 +189,7 @@ jobs:
     needs: prepare
     strategy:
        matrix:
-         ext: ["", -gpu, -mkl] #, -mkl-gpu]
+         ext: ["", -gpu] #, -mkl, -mkl-gpu]
     steps:
       - name: Configure page file
         uses: al-cheb/[email protected]
@@ -208,7 +208,7 @@ jobs:
           bash.exe -lc "find 'C:/Program Files (x86)/Microsoft Visual Studio/2019/Enterprise/VC/' -iname '14.1*' -exec rm -Rf {} \;"
           echo Downloading Bazel
           mkdir C:\bazel
-          curl.exe -L https://github.com/bazelbuild/bazel/releases/download/3.1.0/bazel-3.1.0-windows-x86_64.exe -o C:/bazel/bazel.exe --retry 10
+          curl.exe -L https://github.com/bazelbuild/bazel/releases/download/3.7.2/bazel-3.7.2-windows-x86_64.exe -o C:/bazel/bazel.exe --retry 10
           set "EXT=${{ matrix.ext }}"
           if "%EXT:~-4%" == "-gpu" (
             echo Removing some unused stuff to avoid running out of disk space

tensorflow-core/pom.xml

@@ -102,9 +102,10 @@
       </activation>
       <modules>
         <module>tensorflow-core-platform</module>
-        <module>tensorflow-core-platform-mkl</module>
-        <module>tensorflow-core-platform-mkl-gpu</module>
         <module>tensorflow-core-platform-gpu</module>
+        <!-- Disabling MKL builds until they are more stable and performant -->
+        <!--module>tensorflow-core-platform-mkl</module-->
+        <!--module>tensorflow-core-platform-mkl-gpu</module-->
       </modules>
     </profile>
 

tensorflow-core/tensorflow-core-api/.bazelrc

@@ -151,8 +151,8 @@ build --define open_source_build=true
 test --define open_source_build=true
 
 # For workaround https://github.com/bazelbuild/bazel/issues/8772 with Bazel >= 0.29.1
-build --java_toolchain=@org_tensorflow//third_party/toolchains/java:tf_java_toolchain
-build --host_java_toolchain=@org_tensorflow//third_party/toolchains/java:tf_java_toolchain
+build --java_toolchain=@tf_toolchains//toolchains/java:tf_java_toolchain
+build --host_java_toolchain=@tf_toolchains//toolchains/java:tf_java_toolchain
 
 # Please note that MKL on MacOS or windows is still not supported.
 # If you would like to use a local MKL instead of downloading, please set the
@@ -616,3 +616,33 @@ build:release_gpu_linux_cuda_10_1 --config=release_gpu_linux
 build:release_gpu_linux_cuda_10_1 --action_env CUDA_TOOLKIT_PATH="/usr/local/cuda-10.1"
 build:release_gpu_linux_cuda_10_1 --action_env=TF_CUDA_VERSION="10"
 build:release_gpu_linux_cuda_10_1 --action_env=TF_CUDNN_VERSION="7"
+
+# Address sanitizer
+# CC=clang bazel build --config asan
+build:asan --strip=never
+build:asan --copt -fsanitize=address
+build:asan --copt -DADDRESS_SANITIZER
+build:asan --copt -g
+build:asan --copt -O3
+build:asan --copt -fno-omit-frame-pointer
+build:asan --linkopt -fsanitize=address
+
+# Memory sanitizer
+# CC=clang bazel build --config msan
+build:msan --strip=never
+build:msan --copt -fsanitize=memory
+build:msan --copt -DADDRESS_SANITIZER
+build:msan --copt -g
+build:msan --copt -O3
+build:msan --copt -fno-omit-frame-pointer
+build:msan --linkopt -fsanitize=memory
+
+# Undefined Behavior Sanitizer
+# CC=clang bazel build --config ubsan
+build:ubsan --strip=never
+build:ubsan --copt -fsanitize=undefined
+build:ubsan --copt -g
+build:ubsan --copt -O3
+build:ubsan --copt -fno-omit-frame-pointer
+build:ubsan --linkopt -fsanitize=undefined
+build:ubsan --linkopt -lubsan

tensorflow-core/tensorflow-core-api/WORKSPACE

@@ -17,28 +17,31 @@ http_archive(
     patch_args = ["-p1"],
     patch_cmds = ["grep -rl 'java_package' tensorflow/core | xargs sed -i.bak 's/^\(.* java_package = \"org\.tensorflow\.\)\(.*\"\)/\\1proto.\\2'/"],
     urls = [
-       "https://github.com/tensorflow/tensorflow/archive/v2.4.1.tar.gz",
+       "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.5.0.tar.gz",
     ],
-    sha256 = "f681331f8fc0800883761c7709d13cda11942d4ad5ff9f44ad855e9dc78387e0",
-    strip_prefix = "tensorflow-2.4.1"
+    sha256 = "233875ea27fc357f6b714b2a0de5f6ff124b50c1ee9b3b41f9e726e9e677b86c",
+    strip_prefix = "tensorflow-2.5.0"
 )
 
 # START: Upstream TensorFlow dependencies
 # TensorFlow build depends on these dependencies.
 # Needs to be in-sync with TensorFlow sources.
-http_archive(
-    name = "io_bazel_rules_closure",
-    sha256 = "5b00383d08dd71f28503736db0500b6fb4dda47489ff5fc6bed42557c07c6ba9",
-    strip_prefix = "rules_closure-308b05b2419edb5c8ee0471b67a40403df940149",
-    urls = [
-        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz",
-        "https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz",  # 2019-06-13
-    ],
-)
-# END: Upstream TensorFlow dependencies
+load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
+
+tf_workspace3()
 
-load("@org_tensorflow//tensorflow:workspace.bzl", "tf_workspace")
-tf_workspace()
+load("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")
+
+tf_workspace2()
+
+load("@org_tensorflow//tensorflow:workspace1.bzl", "tf_workspace1")
+
+tf_workspace1()
+
+load("@org_tensorflow//tensorflow:workspace0.bzl", "tf_workspace0")
+
+tf_workspace0()
+# END: Upstream TensorFlow dependencies
 
 load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
 grpc_deps()

tensorflow-core/tensorflow-core-api/build.sh

@@ -68,12 +68,13 @@ done
 echo "Listing $TENSORFLOW_BIN:" && ls -l $TENSORFLOW_BIN
 
 if [[ -x /usr/bin/install_name_tool ]] && [[ -e $BAZEL_BIN/external/llvm_openmp/libiomp5.dylib ]]; then
-    # Fix library with correct rpath on Mac
-    chmod +w $BAZEL_BIN/external/llvm_openmp/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_cc.2.dylib $TENSORFLOW_BIN/libtensorflow_framework.2.dylib
-    UGLYPATH=$(otool -L $TENSORFLOW_BIN/libtensorflow_cc.2.dylib | grep @loader_path | cut -f1 -d ' ')
-    install_name_tool -add_rpath @loader_path/. -id @rpath/libiomp5.dylib $BAZEL_BIN/external/llvm_openmp/libiomp5.dylib
-    install_name_tool -change $UGLYPATH @rpath/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_cc.2.dylib
-    install_name_tool -change $UGLYPATH @rpath/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_framework.2.dylib
+   # Fix library with correct rpath on Mac
+   chmod +w $BAZEL_BIN/external/llvm_openmp/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_cc.2.dylib $TENSORFLOW_BIN/libtensorflow_framework.2.dylib
+   UGLYPATH=$(otool -L $TENSORFLOW_BIN/libtensorflow_cc.2.dylib | grep @loader_path | cut -f1 -d ' ')
+   echo $UGLYPATH
+   install_name_tool -add_rpath @loader_path/. -id @rpath/libiomp5.dylib $BAZEL_BIN/external/llvm_openmp/libiomp5.dylib
+   install_name_tool -change $UGLYPATH @rpath/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_cc.2.dylib
+   install_name_tool -change $UGLYPATH @rpath/libiomp5.dylib $TENSORFLOW_BIN/libtensorflow_framework.2.dylib
 fi
 
 GEN_SRCS_DIR=src/gen/java