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      1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #ifndef TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
     17 #define TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
     18 
     19 #include "tensorflow/core/framework/tensor.h"
     20 #include "tensorflow/core/lib/core/errors.h"
     21 #include "tensorflow/core/lib/core/status.h"
     22 #include "tensorflow/core/platform/stream_executor.h"
     23 
     24 namespace tensorflow {
     25 
     26 // StreamExecutorUtil contains functions useful for interfacing
     27 // between StreamExecutor classes and TensorFlow.
     28 class StreamExecutorUtil {
     29  public:
     30   // Map a Tensor as a DeviceMemory object wrapping the given typed
     31   // buffer.
     32   template <typename T>
     33   static perftools::gputools::DeviceMemory<T> AsDeviceMemory(const Tensor& t) {
     34     T* ptr = reinterpret_cast<T*>(const_cast<char*>(t.tensor_data().data()));
     35     return perftools::gputools::DeviceMemory<T>(
     36         perftools::gputools::DeviceMemoryBase(ptr, t.TotalBytes()));
     37   }
     38 
     39   // Converts from a StreamExecutor Status to a TensorFlow Status.
     40   //
     41   // This assumes that the error codes between the two implementations
     42   // match.
     43   static Status ConvertStatus(const perftools::gputools::port::Status& s) {
     44     return s.ok() ? Status::OK()
     45                   : Status(static_cast<tensorflow::error::Code>(
     46                                static_cast<int>(s.code())),
     47                            s.error_message());
     48   }
     49 };
     50 
     51 }  // namespace tensorflow
     52 
     53 #endif  // TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
     54