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RELEASE.md
`tf.data.experimental.enable_debug_mode()`. * `tf.lite` * Enabled the new MLIR-based quantization backend by default * The new backend is used for 8 bits full integer post-training quantization * The new backend removes the redundant rescales and fixes some bugs (shared weight/bias, extremely small scales, etc)
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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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