/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// This file contains APIs that assume a StreamExecutor is backed by CUDA.
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// It reaches into the CUDA implementation to activate an underlying CUDA
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// context.
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//
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// Having this file separate from cuda/cuda_gpu_executor.h means that dependent
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// code does not also have to depend on cuda.h.
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#ifndef TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_ACTIVATION_H_
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#define TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_ACTIVATION_H_
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#include "tensorflow/stream_executor/gpu/gpu_activation.h"
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namespace stream_executor {
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class StreamExecutor;
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namespace cuda {
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using ScopedActivateExecutorContext = gpu::ScopedActivateExecutorContext;
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} // namespace cuda
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} // namespace stream_executor
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#endif // TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_ACTIVATION_H_
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