| /* Copyright 2018 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_event.h" |
| #include "tensorflow/stream_executor/gpu/gpu_executor.h" |
| #include "tensorflow/stream_executor/gpu/gpu_stream.h" |
| #include "tensorflow/stream_executor/lib/statusor.h" |
| |
| namespace stream_executor { |
| namespace gpu { |
| |
| Event::Status GpuEvent::PollForStatus() { |
| port::StatusOr<hipError_t> status = |
| GpuDriver::QueryEvent(parent_->gpu_context(), gpu_event_); |
| if (!status.ok()) { |
| LOG(ERROR) << "Error polling for event status: " |
| << status.status().error_message(); |
| return Event::Status::kError; |
| } |
| |
| switch (status.ValueOrDie()) { |
| case hipSuccess: |
| return Event::Status::kComplete; |
| case hipErrorNotReady: |
| return Event::Status::kPending; |
| default: |
| LOG(INFO) << "Error condition returned for event status: " |
| << status.ValueOrDie(); |
| return Event::Status::kError; |
| } |
| } |
| |
| } // namespace gpu |
| } // namespace stream_executor |