/* Copyright 2017 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. ==============================================================================*/ #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_FOR_THUNK_H_ #define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_FOR_THUNK_H_ #include #include "tensorflow/compiler/xla/service/gpu/buffer_allocations.h" #include "tensorflow/compiler/xla/service/gpu/hlo_execution_profiler.h" #include "tensorflow/compiler/xla/service/gpu/sequential_thunk.h" #include "tensorflow/compiler/xla/service/gpu/thunk.h" #include "tensorflow/compiler/xla/service/hlo_instruction.h" #include "tensorflow/core/platform/stream_executor_no_cuda.h" namespace xla { namespace gpu { // ForThunk executes 'loop_limit' invocations of 'body_thunk_sequence'. class ForThunk : public Thunk { public: ForThunk(const int64 loop_limit, std::unique_ptr body_thunk_sequence, const HloInstruction* hlo); ForThunk(const ForThunk&) = delete; ForThunk& operator=(const ForThunk&) = delete; Status Initialize(const GpuExecutable& executable, se::StreamExecutor* executor) override; Status ExecuteOnStream(const BufferAllocations& buffer_allocations, se::Stream* stream, HloExecutionProfiler* profiler) override; private: const int64 loop_limit_; std::unique_ptr body_thunk_sequence_; }; } // namespace gpu } // namespace xla #endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_FOR_THUNK_H_