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Results 1 - 6 of 6 for provide (0.28 sec)

  1. tensorflow/c/experimental/grappler/grappler.h

    } TP_OptimizerConfigs;
    
    #define TP_OPTIMIZER_CONFIGS_STRUCT_SIZE \
      TF_OFFSET_OF_END(TP_OptimizerConfigs, scoped_allocator_optimization)
    
    // Struct for Optimizer. Plugin authors must provide an optimize function.
    // Creation and deletion functions are optional.
    typedef struct TP_Optimizer {
      size_t struct_size;
      void* ext;  // reserved for future use
    
      // [Optional]
    C
    - Registered: Tue Feb 27 12:39:08 GMT 2024
    - Last Modified: Wed Aug 03 18:08:43 GMT 2022
    - 12.5K bytes
    - Viewed (0)
  2. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      const ParallelDevice& device_;
      std::vector<TensorHandlePtr> tensors_;
      // Parallel tensors are immutable but compute their shape lazily unless it is
      // provided on construction. The optional has a value if the lazy computation
      // has been completed or the shape was provided on construction.
      mutable absl::optional<std::vector<int64_t>> shape_;
      const TF_DataType dtype_;
    };
    
    template <typename DataType>
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 25 15:21:13 GMT 2023
    - 12.9K bytes
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  3. tensorflow/c/eager/c_api_experimental.h

                                                   TF_Status* status,
                                                   void* device_info);
    
      // Method to execute an operation.
      //
      // Arguments provide enough information to reconstruct the original `TFE_Op`,
      // or construct a transformed version, by inspecting the passed `op`.
      //
      // TFE_OpGetDevice(op) records the original placement of the operation. It may
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
    - 39.5K bytes
    - Viewed (0)
  4. tensorflow/c/eager/tape.h

    // from the forward computation and calls a vector-jacobian product function
    // (also known as adjoint function) to compute, given downstream gradients,
    // upstream gradients.
    //
    // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle
    // specialization, which is blocked by quite a few things needing to loop back
    // into python now.
    template <typename Gradient, typename BackwardFunction, typename TapeTensor>
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
    - 47.2K bytes
    - Viewed (1)
  5. tensorflow/c/eager/c_api.h

    // found in the provided `op`.
    TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op,
                                                   const char* input_name,
                                                   TF_Status* status);
    
    // Returns the length (number of tensors) of the output argument `output_name`
    // found in the provided `op`.
    TF_CAPI_EXPORT extern int TFE_OpGetOutputLength(TFE_Op* op,
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 27 21:07:00 GMT 2023
    - 22.8K bytes
    - Viewed (1)
  6. tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h

    /// filesystem (e.g. GCS).
    class RamFileBlockCache {
     public:
      /// The callback executed when a block is not found in the cache, and needs to
      /// be fetched from the backing filesystem. This callback is provided when the
      /// cache is constructed. It returns total bytes read ( -1 in case of errors
      /// ). The `status` should be `TF_OK` as long as the read from the remote
    C
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Mon Aug 31 04:46:34 GMT 2020
    - 10.6K bytes
    - Viewed (0)
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