Explicitly list TF workspace in toolchain bazelrc configurations
This is consistent with other entries in the bazelrc and makes it possible to use the bazelrc file from other workspaces. PiperOrigin-RevId: 355427795 Change-Id: Idbc06f3b79e3ac1746e5243542b35ed01e91bddf
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14
.bazelrc
14
.bazelrc
@ -157,8 +157,8 @@ build:monolithic --define framework_shared_object=false
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build --define framework_shared_object=true
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# For workaround https://github.com/bazelbuild/bazel/issues/8772 with Bazel >= 0.29.1
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build --java_toolchain=//third_party/toolchains/java:tf_java_toolchain
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build --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain
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build --java_toolchain=@org_tensorflow//third_party/toolchains/java:tf_java_toolchain
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build --host_java_toolchain=@org_tensorflow//third_party/toolchains/java:tf_java_toolchain
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# Please note that MKL on MacOS or windows is still not supported.
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# If you would like to use a local MKL instead of downloading, please set the
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@ -421,9 +421,9 @@ build:rbe_linux --linkopt=-lm
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build:rbe_linux --host_linkopt=-lm
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build:rbe_cpu_linux --config=rbe_linux
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build:rbe_cpu_linux --host_crosstool_top="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:toolchain"
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build:rbe_cpu_linux --crosstool_top="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:toolchain"
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build:rbe_cpu_linux --extra_toolchains="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:cc-toolchain-k8"
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build:rbe_cpu_linux --host_crosstool_top="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:toolchain"
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build:rbe_cpu_linux --crosstool_top="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:toolchain"
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build:rbe_cpu_linux --extra_toolchains="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:cc-toolchain-k8"
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build:rbe_cpu_linux --extra_execution_platforms="@ubuntu16.04-manylinux2010-py3_config_platform//:platform"
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build:rbe_cpu_linux --extra_execution_platforms="@ubuntu16.04-manylinux2010-py3_config_platform//:platform"
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build:rbe_cpu_linux --host_platform="@ubuntu16.04-manylinux2010-py3_config_platform//:platform"
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@ -585,7 +585,7 @@ build:release_cpu_linux --config=release_common
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build:release_cpu_linux --config=avx_linux
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# We use the same toolchain for CPU/GPU packages.
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# Did not add this to the defaults in case this changes.
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build:release_cpu_linux --crosstool_top=//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain
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build:release_cpu_linux --crosstool_top=@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain
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build:release_cpu_macos --config=release_common
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build:release_cpu_macos --config=avx_linux
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@ -605,7 +605,7 @@ build:release_gpu_common --action_env=GCC_HOST_COMPILER_PATH="/usr/bin/gcc-5"
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build:release_gpu_linux --config=release_gpu_common
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build:release_gpu_linux --config=avx_linux
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build:release_gpu_linux --crosstool_top=//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda11:toolchain
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build:release_gpu_linux --crosstool_top=@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda11:toolchain
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build:release_windows_common --config=release_common
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build:release_windows_common --define=no_tensorflow_py_deps=true
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build:release_windows_common --announce_rc
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