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Diffstat (limited to 'tensorflow/compiler/xla/service/gpu/sequential_thunk.h')
-rw-r--r-- | tensorflow/compiler/xla/service/gpu/sequential_thunk.h | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/service/gpu/sequential_thunk.h b/tensorflow/compiler/xla/service/gpu/sequential_thunk.h new file mode 100644 index 0000000000..32c5b748ab --- /dev/null +++ b/tensorflow/compiler/xla/service/gpu/sequential_thunk.h @@ -0,0 +1,54 @@ +/* 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_SEQUENTIAL_THUNK_H_ +#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_SEQUENTIAL_THUNK_H_ + +#include <vector> + +#include "tensorflow/compiler/xla/service/gpu/buffer_allocations.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 { + +// A thunk that wraps a list of sub-thunks. Executing this thunk executes all +// the sub-thunks sequentially. This is useful to implement instructions that +// require multiple kernel launches or library calls. +class SequentialThunk : public Thunk { + public: + SequentialThunk(std::vector<std::unique_ptr<Thunk>>&& thunks, + const HloInstruction* hlo); + SequentialThunk(const SequentialThunk&) = delete; + SequentialThunk& operator=(const SequentialThunk&) = delete; + + const std::vector<std::unique_ptr<Thunk>>& thunks() const { return thunks_; } + + tensorflow::Status Initialize(const GpuExecutable& executable) override; + tensorflow::Status ExecuteOnStream( + const BufferAllocations& buffer_allocations, + perftools::gputools::Stream* stream) override; + + private: + // The list of sub-thunks. + std::vector<std::unique_ptr<Thunk>> thunks_; +}; + +} // namespace gpu +} // namespace xla + +#endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_SEQUENTIAL_THUNK_H_ |