STT-tensorflow/tensorflow/compiler/xla/service/gpu/outfeed_thunk.h
Rahul Joshi 1b7924945a [XLA:GPU] Migrate outfeed thunk emission to MLIR
- Eliminate OutfeedConfig since its not needed anymore and the input tuple shape is
  lost during HLO -> LMHLO MLIR conversion.

PiperOrigin-RevId: 351474802
Change-Id: I1dee2a4b581698d394f5681e0fea22c7e27e98ab
2021-01-12 17:08:21 -08:00

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/* 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.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_OUTFEED_THUNK_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_OUTFEED_THUNK_H_
#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/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 outfeeds data. Data must be already resident on the host. This
// thunk performs a device to host copy from the buffer allocated for the
// outfeed op to the host location.
class OutfeedThunk : public Thunk {
public:
// Constructs a OutfeedThunk that copies data to the host-side
// outfeed queue from the buffers in the given shape tree.
OutfeedThunk(ThunkInfo thunk_info, std::vector<ShapedSlice> source_slices);
OutfeedThunk(const OutfeedThunk&) = delete;
OutfeedThunk& operator=(const OutfeedThunk&) = delete;
Status ExecuteOnStream(const ExecuteParams& params) override;
private:
const std::vector<ShapedSlice> source_slices_;
};
} // namespace gpu
} // namespace xla
#endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_OUTFEED_THUNK_H_