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RELEASE.md
vocabulary file. * Added `index_to_string_table` which returns a lookup table that maps indices to strings. * Add `string_to_index_table`, which returns a lookup table that matches strings to indices. * Add a `ParallelForWithWorkerId` function. * Add `string_to_index_table`, which returns a lookup table that matches strings to indices.
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tensorflow/BUILD
# configure script unconditionally); otherwise if it is false or undefined, the # build is static and TensorFlow symbols (in Python only) are loaded into the # global symbol table in order to support op registration. This means that # projects building with Bazel and importing TensorFlow as a dependency will not # depend on libtensorflow_framework.so unless they opt in. tf_cc_shared_library(
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ci/devinfra/README.md
> effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
*) echo "The wheel's name is in an unknown format." exit 1 ;; esac # >&3 forces output in bats even if the test passes. See # https://bats-core.readthedocs.io/en/stable/writing-tests.html#printing-to-the-terminal echo "# Size of $TF_WHEEL is $WHEEL_MEGABYTES / $LARGEST_OK_SIZE megabytes." >&3 test "$WHEEL_MEGABYTES" -le "$LARGEST_OK_SIZE" }
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.bazelrc
# START MACOS CROSS-COMPILE CONFIGS build:cross_compile_macos_x86 --config=cross_compile_base build:cross_compile_macos_x86 --config=nonccl # Target Catalina (10.15) as the minimum supported OS build:cross_compile_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15 # Set the target CPU to Darwin x86 build:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64
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README.md
package from source. ## Continuous build status You can find more community-supported platforms and configurations in the [TensorFlow SIG Build community builds table](https://github.com/tensorflow/build#community-supported-tensorflow-builds). ### Official Builds
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