mirror of https://github.com/alibaba/MNN.git
46 lines
1.4 KiB
C++
46 lines
1.4 KiB
C++
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//
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// ShapeSvd.cpp
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// MNN
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//
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// Created by MNN on 2022/07/14.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "shape/SizeComputer.hpp"
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#include "core/Macro.h"
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#include "math.h"
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namespace MNN {
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class SvdComputer : public SizeComputer {
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virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) const override {
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MNN_ASSERT(inputs.size() == 1 && outputs.size() == 3);
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auto shape = inputs[0]->shape();
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MNN_ASSERT(shape.size() == 2);
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int row = shape[0];
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int col = shape[1];
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// int single_num = std::min(row, col);
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int single_num = col;
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// w is [ single_num ]
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outputs[0]->buffer().dimensions = 1;
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outputs[0]->setLength(0, single_num);
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// u is [row, single_num ]
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outputs[1]->buffer().dimensions = 2;
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outputs[1]->setLength(0, row);
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outputs[1]->setLength(1, single_num);
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// vt is [single_num, col ]
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outputs[2]->buffer().dimensions = 2;
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outputs[2]->setLength(0, single_num);
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outputs[2]->setLength(1, col);
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for (int i = 0; i < 3; i++) {
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outputs[i]->buffer().type = inputs[0]->getType();
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TensorUtils::getDescribe(outputs[i])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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}
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return true;
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}
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};
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REGISTER_SHAPE(SvdComputer, OpType_Svd);
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} // namespace MNN
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