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Results 1 - 6 of 6 for support (0.15 sec)

  1. tensorflow/BUILD

    config_setting(
        name = "stackdriver_support",
        define_values = {"stackdriver_support": "true"},
        visibility = ["//visibility:public"],
    )
    
    config_setting(
        name = "with_xla_support",
        define_values = {"with_xla_support": "true"},
        visibility = ["//visibility:public"],
    )
    
    # By default, XLA GPU is compiled into tensorflow when building with
    # --config=cuda even when `with_xla_support` is false. The config setting
    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)
  2. .bazelrc

    #     v2: Build TF v2
    #
    # Feature and Third party library support options:
    #     xla:          Build TF with XLA
    #     tpu:          Build TF with TPU support
    #     cuda:         Build with CUDA support.
    #     cuda_clang    Build with CUDA Clang support.
    #     rocm:         Build with AMD GPU support (rocm)
    #     mkl:          Enable full mkl support.
    #     tensorrt:     Enable Tensorrt support.
    #     noaws:        Disable AWS S3 storage support
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu May 02 19:34:20 GMT 2024
    - 52.8K bytes
    - Viewed (2)
  3. configure.py

            write_to_bazelrc(
                'build --copt="-DEIGEN_ALTIVEC_ENABLE_MMA_DYNAMIC_DISPATCH=1"')
    
      with_xla_support = environ_cp.get('TF_ENABLE_XLA', None)
      if with_xla_support is not None:
        write_to_bazelrc('build --define=with_xla_support=%s' %
                         ('true' if int(with_xla_support) else 'false'))
    
      set_action_env_var(
          environ_cp, 'TF_NEED_ROCM', 'ROCm', False, bazel_config_name='rocm')
    Python
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 18:25:36 GMT 2024
    - 53.8K bytes
    - Viewed (1)
  4. tensorflow/c/experimental/filesystem/modular_filesystem_test.cc

        GTEST_SKIP() << "NewWritableFile() not supported: " << status;
    
      const std::string test_data("asdf");
      status = file->Append(test_data);
      if (!status.ok()) GTEST_SKIP() << "Append() not supported: " << status;
      status = file->Flush();
      if (!status.ok()) GTEST_SKIP() << "Flush() not supported: " << status;
      status = file->Close();
      if (!status.ok()) GTEST_SKIP() << "Close() not supported: " << status;
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri May 27 20:25:58 GMT 2022
    - 71K bytes
    - Viewed (0)
  5. tensorflow/c/experimental/filesystem/filesystem_interface.h

    /// that plugins provide (some are mandatory, some are optional, with or without
    /// a default implementation).
    ///
    /// Each plugin implements the operations that are supported and TensorFlow will
    /// properly handle the cases when an operation is not supported (i.e., return
    /// the corresponding `Status` value).
    ///
    /// REQUIRED OPERATIONS: All required operations are marked as such, including
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri May 27 17:36:54 GMT 2022
    - 53.1K bytes
    - Viewed (0)
  6. tensorflow/c/c_api.h

    // - `inputs` and `outputs` cannot have reference types. Reference types are
    //   not exposed through C API and are being replaced with Resources. We support
    //   reference types inside function's body to support legacy code. Do not
    //   use them in new code.
    // - Every node in the function's body must have all of its inputs (including
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Oct 26 21:08:15 GMT 2023
    - 82.3K bytes
    - Viewed (3)
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