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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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#include "tools/converter/parser/caffe/caffe_reduce_parser.h"
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#include <memory>
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#include <vector>
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namespace mindspore {
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namespace lite {
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STATUS CaffeReduceParser::Parse(const caffe::LayerParameter &proto,
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const caffe::LayerParameter &weight,
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schema::CNodeT *op,
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std::vector<schema::TensorT *> *weightVec) {
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MS_LOG(DEBUG) << "parse CaffeReduceParser";
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if (op == nullptr) {
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MS_LOG(ERROR) << "op is null";
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return RET_NULL_PTR;
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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if (op->primitive == nullptr) {
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MS_LOG(ERROR) << "op->primitive is null";
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return RET_NULL_PTR;
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}
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std::unique_ptr<schema::ReduceT> attr = std::make_unique<schema::ReduceT>();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new op failed";
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return RET_NULL_PTR;
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}
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const caffe::ReductionParameter reduce_param = proto.reduction_param();
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if (reduce_param.has_operation()) {
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switch (reduce_param.operation()) {
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case caffe::ReductionParameter_ReductionOp_MEAN:
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attr->mode = schema::ReduceMode_ReduceMean;
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break;
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case caffe::ReductionParameter_ReductionOp_SUM:
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attr->mode = schema::ReduceMode_ReduceSum;
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break;
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case caffe::ReductionParameter_ReductionOp_SUMSQ:
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attr->mode = schema::ReduceMode_ReduceSumSquare;
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break;
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case caffe::ReductionParameter_ReductionOp_ASUM:
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attr->mode = schema::ReduceMode_ReduceASum;
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default:
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MS_LOG(ERROR) << "reduce parse params fail, unsupported opration: " << reduce_param.operation();
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return RET_ERROR;
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}
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} else {
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attr->mode = schema::ReduceMode_ReduceSum;
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}
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if (reduce_param.has_axis()) {
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attr->axes = std::vector(1, reduce_param.axis());
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} else {
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attr->axes = std::vector(1, 0);
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}
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attr->reduceToEnd = true;
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attr->keepDims = false;
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op->name = proto.name();
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op->primitive->value.type = schema::PrimitiveType_Reduce;
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op->primitive->value.value = attr.release();
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return RET_OK;
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}
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CaffeNodeRegistrar g_caffeReduceParser("Reduction", new CaffeReduceParser());
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} // namespace lite
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} // namespace mindspore
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@ -0,0 +1,39 @@
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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_LITE_TOOLS_CONVERTER_PARSER_CAFFE_CAFFE_REDUCE_PARSER_H
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#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_CAFFE_CAFFE_REDUCE_PARSER_H
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#include <vector>
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#include "tools/converter/parser/caffe/caffe_node_parser.h"
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#include "tools/converter/parser/caffe/caffe_node_parser_registry.h"
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namespace mindspore {
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namespace lite {
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class CaffeReduceParser : public CaffeNodeParser {
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public:
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CaffeReduceParser() : CaffeNodeParser("reduce") {}
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STATUS Parse(const caffe::LayerParameter &proto,
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const caffe::LayerParameter &weight,
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schema::CNodeT *op,
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std::vector<schema::TensorT *> *weightVec) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_CAFFE_CAFFE_REDUCE_PARSER_H
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