| /* Copyright 2015 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. |
| ==============================================================================*/ |
| |
| #include "tensorflow/stream_executor/stream_executor_internal.h" |
| |
| namespace stream_executor { |
| namespace internal { |
| |
| // The default implementation just calls the other HostCallback method. |
| // It should make all existing code that uses a void() callback still work. |
| bool StreamExecutorInterface::HostCallback(Stream* stream, |
| std::function<void()> callback) { |
| return HostCallback( |
| stream, std::function<port::Status()>([callback]() -> port::Status { |
| callback(); |
| return port::Status::OK(); |
| })); |
| } |
| |
| } // namespace internal |
| } // namespace stream_executor |