| /* Copyright 2019 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/gpu/gpu_stream.h" |
| |
| #include "tensorflow/stream_executor/gpu/gpu_executor.h" |
| #include "tensorflow/stream_executor/lib/status.h" |
| #include "tensorflow/stream_executor/stream.h" |
| |
| namespace stream_executor { |
| namespace gpu { |
| |
| bool GpuStream::Init() { |
| if (!GpuDriver::CreateStream(parent_->gpu_context(), &gpu_stream_)) { |
| return false; |
| } |
| return GpuDriver::InitEvent(parent_->gpu_context(), &completed_event_, |
| GpuDriver::EventFlags::kDisableTiming) |
| .ok(); |
| } |
| |
| void GpuStream::Destroy() { |
| if (completed_event_ != nullptr) { |
| port::Status status = |
| GpuDriver::DestroyEvent(parent_->gpu_context(), &completed_event_); |
| if (!status.ok()) { |
| LOG(ERROR) << status.error_message(); |
| } |
| } |
| |
| GpuDriver::DestroyStream(parent_->gpu_context(), &gpu_stream_); |
| } |
| |
| bool GpuStream::IsIdle() const { |
| return GpuDriver::IsStreamIdle(parent_->gpu_context(), gpu_stream_); |
| } |
| |
| GpuStream* AsGpuStream(Stream* stream) { |
| DCHECK(stream != nullptr); |
| return static_cast<GpuStream*>(stream->implementation()); |
| } |
| |
| GpuStreamHandle AsGpuStreamValue(Stream* stream) { |
| DCHECK(stream != nullptr); |
| return AsGpuStream(stream)->gpu_stream(); |
| } |
| |
| } // namespace gpu |
| } // namespace stream_executor |