mindspore-ci-bot
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/**
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* Copyright 2020 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 MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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#define MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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#include <unordered_map>
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#include <memory>
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#include <string>
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#include <utility>
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#include "tools/converter/legacy_optimizer/fusion/fusion_pass.h"
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#include "tools/common/graph_util.h"
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namespace mindspore {
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namespace lite {
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struct BNWeightTensors {
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TensorT *meanTensor = nullptr;
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TensorT *varianceTensor = nullptr;
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TensorT *scaleTensor = nullptr;
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TensorT *biasTensor = nullptr;
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};
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class BatchNormConvertScalePass : public FusionPass {
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public:
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BatchNormConvertScalePass() = default;
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~BatchNormConvertScalePass() = default;
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STATUS DefinePattern() override;
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STATUS DoFusion(MetaGraphT *graph, const std::string &patternName,
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std::unordered_map<std::string, std::shared_ptr<Path>> &matchedPath) override;
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STATUS Run(MetaGraphT *graph) override;
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protected:
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STATUS GetTransParam(MetaGraphT *graph, const std::shared_ptr<Path> &bnPath);
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// Get and check BNNode weight tensor
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STATUS GetBnWeightTensors(MetaGraphT *graph, const std::shared_ptr<Path> &bnPath, BNWeightTensors* bnWeightTensors);
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STATUS GetBnEpsilon(MetaGraphT *graph);
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STATUS FindNodes(MetaGraphT *graph, const std::unordered_map<std::string, std::shared_ptr<Path>> &matchedPath);
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STATUS GenNewScaleTensor(MetaGraphT *graph, const std::shared_ptr<Path> &bnPath);
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STATUS ConvertBNToScale(MetaGraphT *graph, const std::shared_ptr<Path> &bnPath);
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CNodeT *inputNode = nullptr;
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CNodeT *bnNode = nullptr;
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std::string inputOpName = "Input";
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std::string bnOpName = "BatchNorm";
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std::string bnPatternName = "BnToScaleFusion";
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uint32_t bnChannel = 0;
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float eps = 0;
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TensorT *bnMeanTensor = nullptr;
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float *transScale = nullptr;
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float *transBias = nullptr;
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std::unique_ptr<TensorT> newScaleWeightTensor = nullptr;
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std::unique_ptr<TensorT> newScaleBiasTensor = nullptr;
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OpDefCopyer ScaleOpCopyer = [](CNodeT *inOpDef) -> std::unique_ptr<CNodeT> {
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std::unique_ptr<CNodeT> newOpDef(new(std::nothrow) CNodeT);
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if (newOpDef == nullptr) {
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MS_LOG(ERROR) << "new OpDefT failed";
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return nullptr;
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}
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newOpDef->name = inOpDef->name;
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newOpDef->quantType = inOpDef->quantType;
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newOpDef->primitive = std::make_unique<schema::PrimitiveT>();
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newOpDef->primitive->value.type = schema::PrimitiveType_Scale;
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auto scaleParam = new(std::nothrow) ScaleT;
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if (scaleParam == nullptr) {
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MS_LOG(ERROR) << "new scaleParam failed";
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return nullptr;
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}
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auto inParam = inOpDef->primitive->value.AsScale();
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MS_ASSERT(inParam != nullptr);
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scaleParam->axis = inParam->axis;
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newOpDef->primitive->value.value = scaleParam;
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return std::move(newOpDef);
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};
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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/**
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* Copyright 2020 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 MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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#define MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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#include <unordered_map>
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#include <memory>
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#include <string>
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#include <utility>
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#include "tools/common/graph_util.h"
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#include "tools/converter/optimizer.h"
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using mindspore::schema::TensorT;
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namespace mindspore {
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namespace lite {
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struct BNWeightTensors {
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schema::TensorT *meanTensor = nullptr;
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TensorT *varianceTensor = nullptr;
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TensorT *scaleTensor = nullptr;
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TensorT *biasTensor = nullptr;
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};
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class BatchNormConvertScalePass : public GraphPass {
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public:
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BatchNormConvertScalePass() = default;
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~BatchNormConvertScalePass() = default;
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STATUS Run(MetaGraphT *graph) override;
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protected:
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STATUS GetTransParam(MetaGraphT *graph, const std::unique_ptr<CNodeT> &bnNode);
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// Get and check BNNode weight tensor
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STATUS GetBnWeightTensors(MetaGraphT *graph, BNWeightTensors *bnWeightTensors, const std::unique_ptr<CNodeT> &bnNode);
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STATUS GetBnEpsilon(const std::unique_ptr<CNodeT> &bnNode);
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STATUS GenNewScaleTensor(MetaGraphT *graph, const std::unique_ptr<CNodeT> &bnNode);
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STATUS ConvertBNToScale(MetaGraphT *graph, const std::unique_ptr<CNodeT> &bnNode);
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uint32_t bnChannel = 0;
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float eps = 0;
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TensorT *bnMeanTensor = nullptr;
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float *transScale = nullptr;
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float *transBias = nullptr;
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std::unique_ptr<TensorT> newScaleWeightTensor = nullptr;
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std::unique_ptr<TensorT> newScaleBiasTensor = nullptr;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_PREDICT_BATCHNORM_CONVERT_SCALE_PASS_H
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