forked from huawei/mindspore2022
41 lines
1.6 KiB
C++
41 lines
1.6 KiB
C++
/**
|
|
* Copyright 2021 Huawei Technologies Co., Ltd
|
|
*
|
|
* 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 MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_SPLIT_UMONAD_H_
|
|
#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_SPLIT_UMONAD_H_
|
|
|
|
#include "backend/common/optimizer/optimizer.h"
|
|
#include "common/graph_kernel/adapter/graph_kernel_expander_with_py.h"
|
|
namespace mindspore::graphkernel {
|
|
class SplitAssign : public opt::PatternProcessPass {
|
|
public:
|
|
explicit SplitAssign(bool multigraph = true) : PatternProcessPass("split_assign", multigraph) {}
|
|
~SplitAssign() override = default;
|
|
const BaseRef DefinePattern() const override;
|
|
const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override;
|
|
};
|
|
|
|
class OpUMonadExpander : public DefaultExpander {
|
|
public:
|
|
explicit OpUMonadExpander(size_t input_idx) : input_idx_(input_idx) {}
|
|
virtual ~OpUMonadExpander() = default;
|
|
AnfNodePtr Run(const AnfNodePtr &node) override;
|
|
|
|
private:
|
|
size_t input_idx_;
|
|
};
|
|
} // namespace mindspore::graphkernel
|
|
#endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_SPLIT_UMONAD_H_
|