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  1. CONTRIBUTING.md

        test to timeout but it could be useful when you need to execute a single
        test or more in general your filtered/selected tests have a very low
        execution time and the sharding
        [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
    
    2.  Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
    
        ```bash
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  2. RELEASE.md

            optimizer.
        *   **Learning rate schedule access.** When using a `LearningRateSchedule`,
            The new optimizer's `learning_rate` property returns the
            current learning rate value instead of a `LearningRateSchedule` object
            as before. If you need to access the `LearningRateSchedule` object,
            please use `optimizer._learning_rate`.
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  3. tensorflow/BUILD

    # -------------------------------------------
    
    # TensorFlow uses several libraries that may also be used by applications
    # linking against the C and C++ APIs (such as libjpeg).  When we create
    # the shared library, only export the core TF API functions to avoid
    # causing library conflicts (e.g., those reported in github issue 1924).
    # On Linux, tell the linker (-Wl,<option>) to use a version script that
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  4. .bazelrc

    # Configure short or long logs
    build:short_logs --output_filter=DONT_MATCH_ANYTHING
    build:verbose_logs --output_filter=
    
    # Instruction set optimizations
    # TODO(gunan): Create a feature in toolchains for avx/avx2 to
    #   avoid having to define linux/win separately.
    build:avx_linux --copt=-mavx
    build:avx_linux --host_copt=-mavx
    build:avx_win --copt=/arch:AVX
    
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