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RELEASE.md
* <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER> * Add `is_cpu_target_available`, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported. * `tf.data` * Support `data.experimental.distribued_save`. `distribued_save` uses tf.data service
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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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