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  2. github.com/tensorflow/tensorflow

    tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem_test.cc 

                                                 &result[0], status_);
  ASSERT_EQ(read, 5) << "Read: " << read << "\n";
  ASSERT_TF_OK(status_);
  ASSERT_EQ(result, "01234") << "Result: " << result << "\n";

  read = tf_random_access_file::Read(file, 4, result.length(), &result[0],
                                     status_);
  ASSERT_EQ(read, 5) << "Read: " << read << "\n";
    C++
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Mon Aug 31 12:04:23 GMT 2020
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  3. github.com/tensorflow/tensorflow

    RELEASE.md 

            i.e. server and clients are started in separate binaries independently.

    *   Example usage to create server: ```python server =
        tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")
        @tf.function(input_signature=[ tf.TensorSpec([], tf.int32),
        tf.TensorSpec([], dtypes.int32) ]) def _remote_multiply(a, b): return
        tf.math.multiply(a, b)
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
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