lyvette
5 years ago
parent
1793a07e10
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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 <memory>
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#include <vector>
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#include "mindspore/lite/tools/converter/parser/caffe/caffe_proposal_parser.h"
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namespace mindspore {
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namespace lite {
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STATUS CaffeProposalParser::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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std::unique_ptr<schema::ProposalT> attr(new schema::ProposalT());
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const caffe::ProposalParameter proposal_param = proto.proposal_param();
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if (proposal_param.has_feat_stride()) {
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attr->feat_stride = proposal_param.feat_stride();
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}
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if (proposal_param.has_base_size()) {
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attr->base_size = proposal_param.base_size();
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}
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if (proposal_param.has_min_size()) {
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attr->min_size = proposal_param.min_size();
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}
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if (proposal_param.has_pre_nms_topn()) {
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attr->pre_nms_topn = proposal_param.pre_nms_topn();
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}
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if (proposal_param.has_post_nms_topn()) {
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attr->post_nms_topn = proposal_param.post_nms_topn();
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}
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if (proposal_param.has_nms_thresh()) {
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attr->nms_thresh = proposal_param.nms_thresh();
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}
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const int num_ratio = proposal_param.ratio_size();
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attr->ratio.resize(num_ratio);
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for (int i = 0; i < num_ratio; ++i) {
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attr->ratio[i] = proposal_param.ratio(i);
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}
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const int num_scale = proposal_param.scale_size();
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attr->scale.resize(num_scale);
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for (int i = 0; i < num_scale; ++i) {
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attr->scale[i] = proposal_param.scale(i);
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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op->primitive->value.value = attr.release();
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op->primitive->value.type = schema::PrimitiveType_Tile;
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return RET_OK;
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}
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CaffeNodeRegistrar g_caffeProposalParser("Proposal", new CaffeProposalParser());
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} // namespace lite
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} // namespace mindspore
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@ -1,36 +0,0 @@
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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 LITE_CAFFE_PROPOSAL_PARSER_H
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#define LITE_CAFFE_PROPOSAL_PARSER_H
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#include <vector>
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#include "mindspore/lite/tools/converter/parser/caffe/caffe_node_parser.h"
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#include "mindspore/lite/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 CaffeProposalParser : public CaffeNodeParser {
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public:
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CaffeProposalParser() : CaffeNodeParser("proposal") {}
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STATUS Parse(const caffe::LayerParameter &proto, const caffe::LayerParameter &weight, 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 // LITE_CAFFE_PROPOSAL_PARSER_H
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