mirror of https://github.com/alibaba/MNN.git
60 lines
1.8 KiB
C++
60 lines
1.8 KiB
C++
//
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// ShapeReduction.cpp
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// MNN
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//
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// Created by MNN on 2019/01/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "Macro.h"
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#include "SizeComputer.hpp"
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namespace MNN {
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class ReductionComputer : public SizeComputer {
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public:
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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(1 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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auto output = outputs[0];
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auto reduce = op->main_as_ReductionParam();
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output->setType(reduce->dType());
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if (nullptr == reduce->dim()) {
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output->buffer().dimensions = 0;
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return true;
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}
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std::set<int> reduceDimSet;
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for (int i = 0; i < reduce->dim()->size(); ++i) {
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reduceDimSet.insert(reduce->dim()->data()[i]);
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}
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auto input = inputs[0];
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const int inputDimensions = input->dimensions();
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if (reduceDimSet.find(-1) != reduceDimSet.end()) {
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// dim set have -1 which mean applying reduction on last dimension
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reduceDimSet.erase(-1);
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reduceDimSet.insert(inputDimensions - 1);
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}
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std::vector<int> newDims;
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for (int i = 0; i < inputDimensions; ++i) {
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if (reduceDimSet.find(i) == reduceDimSet.end()) {
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newDims.push_back(input->length(i));
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} else if (reduce->keepDims()) {
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newDims.push_back(1);
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}
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}
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output->buffer().dimensions = (int)newDims.size();
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for (int i = 0; i < newDims.size(); ++i) {
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output->buffer().dim[i].extent = newDims[i];
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output->buffer().dim[i].flags = 0;
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}
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return true;
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}
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};
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REGISTER_SHAPE(ReductionComputer, OpType_Reduction);
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} // namespace MNN
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