/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
you may not use this file except in compliance with the License.
|
You may obtain a copy of the License at
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
Unless required by applicable law or agreed to in writing, software
|
distributed under the License is distributed on an "AS IS" BASIS,
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
See the License for the specific language governing permissions and
|
limitations under the License.
|
==============================================================================*/
|
|
#ifndef TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
|
#define TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
|
|
#include "tensorflow/core/framework/tensor.h"
|
#include "tensorflow/core/lib/core/errors.h"
|
#include "tensorflow/core/lib/core/status.h"
|
#include "tensorflow/core/platform/stream_executor.h"
|
|
namespace tensorflow {
|
|
// StreamExecutorUtil contains functions useful for interfacing
|
// between StreamExecutor classes and TensorFlow.
|
class StreamExecutorUtil {
|
public:
|
// Map a Tensor as a DeviceMemory object wrapping the given typed
|
// buffer.
|
template <typename T>
|
static se::DeviceMemory<T> AsDeviceMemory(const Tensor& t) {
|
T* ptr = reinterpret_cast<T*>(const_cast<char*>(t.tensor_data().data()));
|
return se::DeviceMemory<T>(se::DeviceMemoryBase(ptr, t.TotalBytes()));
|
}
|
};
|
|
} // namespace tensorflow
|
|
#endif // TENSORFLOW_CORE_UTIL_STREAM_EXECUTOR_UTIL_H_
|
