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  1. ci/official/wheel_test/README.md

    and a requirements_lock file. The requirements_lock file is generated by the
    [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater)
    tool using the path to this wheel file.
    
    ### Hermetic Python
    
    For details about hermetic Python and setting its toolchain version, see
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  2. ci/official/README.md

        -   Uses `pycpp.sh`, `code_check_changed_files.sh`
    
    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
    You may check how your changes will affect TensorFlow by:
    
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  3. ci/official/requirements_updater/README.md

    ```
    
    To specify the version via a Bazel command argument, use the following:
    
    ```
    --repo_env=TF_PYTHON_VERSION=3.11
    ```
    
    ## Requirements updater
    
    Requirements updater is a standalone tool, intended to simplify process of
    updating requirements for multiple minor versions of Python.
    
    It takes in a file with a set of dependencies, and produces a more detailed
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  4. tensorflow/BUILD

    # Description:
    # TensorFlow is a computational framework, primarily for use in machine
    # learning applications.
    
    load("@bazel_skylib//lib:selects.bzl", "selects")
    load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting")
    load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
    load(
        "//tensorflow:tensorflow.bzl",
        "VERSION",
        "VERSION_MAJOR",
        "check_deps",
        "if_google",
        "if_oss",
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  5. RELEASE.md

        *   Added support for `tflite_convert` command line tool in 2.0.
        *   Post-training quantization tool supports quantizing weights shared by
            multiple operations. The models made with versions of this tool will use
            INT8 types for weights and will only be executable interpreters from
            this version onwards.
        *   Post-training quantization tool supports fp16 weights and GPU delegate
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  6. ci/official/requirements_updater/WORKSPACE

        default_version = default_python_version,
        ignore_root_user_error = True,
        python_versions = [
            "3.9",
            "3.10",
            "3.11",
            "3.12",
        ],
        register_coverage_tool = True,
    )
    
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    - Last Modified: Fri Apr 05 22:12:56 GMT 2024
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  7. ci/devinfra/docker_windows/Dockerfile

        [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\Program Files (x86)\Windows Kits\10\App Certification Kit\", \"Machine\");
    
    # Install WiX toolset (v4) - Necessary for MSI Installer/Signing builds
    RUN dotnet tool install --global wix
    
    # Install msys2, packages and add to path.
    RUN [Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; \
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  8. .bazelrc

    lrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/save...
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    - Last Modified: Thu May 02 19:34:20 GMT 2024
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