wehub-resource-sync
69 lines
2.2 KiB
C++
69 lines
2.2 KiB
C++
//
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// ReduceOnnx.cpp
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// MNNConverter
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//
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// Created by MNN on 2019/07/23.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "onnxOpConverter.hpp"
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DECLARE_OP_CONVERTER(ReduceOnnx);
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MNN::OpType ReduceOnnx::opType() {
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return MNN::OpType_Reduction;
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}
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MNN::OpParameter ReduceOnnx::type() {
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return MNN::OpParameter_ReductionParam;
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}
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void ReduceOnnx::run(MNN::OpT *dstOp, const onnx::NodeProto *onnxNode,
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OnnxScope* scope) {
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auto param = new MNN::ReductionParamT;
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std::vector<int> axes;
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bool keepdims = true;
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const auto attrSize = onnxNode->attribute_size();
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for (int i = 0; i < attrSize; ++i) {
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const auto &attributeProto = onnxNode->attribute(i);
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const auto &attributeName = attributeProto.name();
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if (attributeName == "axes") {
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DCHECK(attributeProto.type() == ::onnx::AttributeProto_AttributeType_INTS) << "Node Attribute ERROR";
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const int size = attributeProto.ints_size();
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for (int k = 0; k < size; ++k) {
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axes.push_back(attributeProto.ints(k));
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}
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} else if (attributeName == "keepdims") {
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DCHECK(attributeProto.type() == ::onnx::AttributeProto_AttributeType_INT) << "Node Attribute ERROR";
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keepdims = static_cast<bool>(attributeProto.i());
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}
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}
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auto type = onnxNode->op_type();
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if (type == "ReduceMean") {
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param->operation = MNN::ReductionType_MEAN;
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} else if (type == "ReduceMax") {
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param->operation = MNN::ReductionType_MAXIMUM;
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} else if (type == "ReduceMin") {
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param->operation = MNN::ReductionType_MINIMUM;
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} else if (type == "ReduceProd") {
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param->operation = MNN::ReductionType_PROD;
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} else if (type == "ReduceSum") {
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param->operation = MNN::ReductionType_SUM;
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} else {
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DLOG(ERROR) << "TODO ==> " << type;
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}
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param->dType = MNN::DataType_DT_FLOAT;
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param->dim = axes;
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param->keepDims = keepdims;
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dstOp->main.value = param;
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}
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REGISTER_CONVERTER(ReduceOnnx, ReduceMean);
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REGISTER_CONVERTER(ReduceOnnx, ReduceMax);
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REGISTER_CONVERTER(ReduceOnnx, ReduceMin);
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REGISTER_CONVERTER(ReduceOnnx, ReduceProd);
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REGISTER_CONVERTER(ReduceOnnx, ReduceSum);
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