/* 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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#include "tensorflow/stream_executor/stream_executor_internal.h"
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namespace stream_executor {
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namespace internal {
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// -- CUDA
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StreamExecutorFactory* MakeCUDAExecutorImplementation() {
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static StreamExecutorFactory instance;
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return &instance;
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}
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// -- ROCm
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StreamExecutorFactory* MakeROCMExecutorImplementation() {
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static StreamExecutorFactory instance;
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return &instance;
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}
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// -- OpenCL
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StreamExecutorFactory* MakeOpenCLExecutorImplementation() {
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static StreamExecutorFactory instance;
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return &instance;
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}
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// -- Host
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StreamExecutorFactory MakeHostExecutorImplementation;
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// The default implementation just calls the other HostCallback method.
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// It should make all existing code that uses a void() callback still work.
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bool StreamExecutorInterface::HostCallback(Stream* stream,
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std::function<void()> callback) {
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return HostCallback(
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stream, std::function<port::Status()>([callback]() -> port::Status {
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callback();
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return port::Status::OK();
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}));
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}
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} // namespace internal
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} // namespace stream_executor
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