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.bazelrc
build:mkl --define=build_with_mkl=true --define=enable_mkl=true build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
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RELEASE.md
compatibility with GPU delegate. * Extension Types * Add experimental API to define new Python classes that can be handled by TensorFlow APIs. To create an extension type, simply define a Python class with `tf.experimental.ExtensionType` as its base, and use type annotations to specify the type for each field. E.g.: `python class
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