| /* 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. |
| ==============================================================================*/ |
| |
| // Class declaration for Stream type that enqueues tasks onto a host/CPU-based |
| // execution context (as opposed to a GPU device), HostExecutor. |
| #ifndef TENSORFLOW_STREAM_EXECUTOR_HOST_HOST_STREAM_H_ |
| #define TENSORFLOW_STREAM_EXECUTOR_HOST_HOST_STREAM_H_ |
| |
| #include <functional> |
| #include <memory> |
| #include <queue> |
| |
| #include "absl/synchronization/mutex.h" |
| #include "tensorflow/stream_executor/lib/threadpool.h" |
| #include "tensorflow/stream_executor/stream_executor_internal.h" |
| |
| namespace stream_executor { |
| namespace host { |
| |
| class HostStream : public internal::StreamInterface { |
| public: |
| HostStream(); |
| ~HostStream() override; |
| |
| bool EnqueueTask(std::function<void()> task); |
| |
| void *GpuStreamHack() override { return nullptr; } |
| void **GpuStreamMemberHack() override { return nullptr; } |
| |
| void BlockUntilDone(); |
| |
| private: |
| bool WorkAvailable() EXCLUSIVE_LOCKS_REQUIRED(mu_); |
| void WorkLoop(); |
| |
| absl::Mutex mu_; |
| std::queue<std::function<void()>> work_queue_ GUARDED_BY(mu_); |
| std::unique_ptr<port::Thread> thread_; |
| }; |
| |
| } // namespace host |
| } // namespace stream_executor |
| |
| #endif // TENSORFLOW_STREAM_EXECUTOR_HOST_HOST_STREAM_H_ |