cjh9368
4 years ago
parent
73b5ffb99c
commit
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/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "tools/optimizer/fusion/quant_dtype_cast_fusion.h"
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#include <memory>
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#include "src/ops/primitive_c.h"
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#include "src/ops/conv2d.h"
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#include "src/ops/depthwise_conv2d.h"
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#include "src/ops/activation.h"
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#include "schema/inner/model_generated.h"
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#include "tools/optimizer/common/gllo_utils.h"
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namespace mindspore::opt {
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namespace {
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constexpr size_t kActivationInputsLength = 2;
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}
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const BaseRef QuantDtypeCastFusion::DefinePattern() const {
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auto quant_var = std::make_shared<CondVar>(IsQuantNode);
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auto input_var = std::make_shared<Var>();
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return VectorRef({quant_var, input_var});
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}
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const AnfNodePtr QuantDtypeCastFusion::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
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const EquivPtr &) const {
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MS_LOG(DEBUG) << "quant dtype cast fusion pass process";
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CheckIfFuncGraphIsNull(func_graph);
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CheckIfAnfNodeIsNull(node);
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auto act_node = node->cast<CNodePtr>();
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CheckIfCNodeIsNull(act_node);
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CheckInputSize(act_node, kActivationInputsLength);
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AnfNodePtr pre_node = act_node->input(1);
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CheckIfAnfNodeIsNull(pre_node);
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return pre_node;
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}
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} // namespace mindspore::opt
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/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef LITE_QUANT_DTYPE_CAST_FUSION_H
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#define LITE_QUANT_DTYPE_CAST_FUSION_H
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#include <string>
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#include "backend/optimizer/common/optimizer.h"
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#include "schema/inner/model_generated.h"
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namespace mindspore {
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namespace opt {
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class QuantDtypeCastFusion : public PatternProcessPass {
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public:
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explicit QuantDtypeCastFusion(bool multigraph = true, const std::string &name = "quant_dtype_cast_fusion")
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: PatternProcessPass(name, multigraph) {}
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~QuantDtypeCastFusion() override = default;
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const BaseRef DefinePattern() const override;
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const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override;
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};
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} // namespace opt
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} // namespace mindspore
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#endif // LITE_QUANT_DTYPE_CAST_FUSION_H
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