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Results 1 - 5 of 5 for Wiles (0.18 sec)

  1. configure.py

    ]
    
    # List of files to configure when building Bazel on Apple platforms.
    APPLE_BAZEL_FILES = [
        'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
        'tensorflow/lite/swift/BUILD',
        'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
    ]
    
    # List of files to move when building for iOS.
    IOS_FILES = [
        'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',
    Python
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 18:25:36 GMT 2024
    - 53.8K bytes
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  2. .bazelrc

    build --define tsl_protobuf_header_only=true
    
    build --define=use_fast_cpp_protos=true
    build --define=allow_oversize_protos=true
    
    build --spawn_strategy=standalone
    build -c opt
    
    # Make Bazel print out all options from rc files.
    build --announce_rc
    
    # TODO(mihaimaruseac): Document this option or remove if no longer needed
    build --define=grpc_no_ares=true
    
    # See https://github.com/bazelbuild/bazel/issues/7362 for information on what
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Apr 24 20:50:35 GMT 2024
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  3. WORKSPACE

    install_deps()
    
    # Initialize the TensorFlow repository and all dependencies.
    #
    # The cascade of load() statements and tf_workspace?() calls works around the
    # restriction that load() statements need to be at the top of .bzl files.
    # E.g. we can not retrieve a new repository with http_archive and then load()
    # a macro from that repository in the same file.
    load("@//tensorflow:workspace3.bzl", "tf_workspace3")
    
    tf_workspace3()
    
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 05 22:27:48 GMT 2024
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  4. tensorflow/BUILD

        get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([
            1,
            2,
        ])
    )
    
    TENSORFLOW_API_INIT_FILES_V1 = (
        TENSORFLOW_API_INIT_FILES_V1 +
        get_compat_files(TENSORFLOW_API_INIT_FILES, 2) +
        get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([
            1,
            2,
        ])
    )
    # copybara:comment_end
    
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 09 18:15:11 GMT 2024
    - 53.4K bytes
    - Viewed (8)
  5. RELEASE.md

    available. You can start using it via `model.save(f"{fname}.keras", save_format="keras_v3")`. In the future it will become the default for all files with the `.keras` extension. This file format targets the Python runtime only and makes it possible to reload Python objects identical to the saved originals. The format supports non-numerical state such as vocabulary files and lookup tables, and it is easy to customize in the case of custom layers with exotic elements of state (e.g. a FIFOQueue). The format...
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
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