mirror of https://github.com/alibaba/MNN.git
64 lines
2.2 KiB
C++
64 lines
2.2 KiB
C++
//
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// ShapeMoments.cpp
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// MNN
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//
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// Created by MNN on 2019/02/28.
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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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namespace MNN {
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class MomentsComputer : 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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#ifdef MNN_SUPPORT_DEPRECATED_OP
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MNN_ASSERT(1 == inputs.size());
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MNN_ASSERT(2 == outputs.size());
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auto input = inputs[0];
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auto mean = outputs[0];
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auto variance = outputs[1];
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auto momentsParam = op->main_as_MomentsParam();
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mean->buffer().type = input->getType();;
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variance->buffer().type = input->getType();
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if (nullptr == momentsParam->dim()) {
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mean->buffer().dimensions = 0;
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variance->buffer().dimensions = 0;
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TensorUtils::getDescribe(mean)->dimensionFormat = MNN_DATA_FORMAT_NCHW;
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TensorUtils::getDescribe(variance)->dimensionFormat = MNN_DATA_FORMAT_NCHW;
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return true;
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}
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std::set<int> momentsDims;
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for (int i = 0; i < momentsParam->dim()->size(); ++i) {
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momentsDims.insert(momentsParam->dim()->data()[i]);
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}
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std::vector<int> outputShape;
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for (int i = 0; i < input->dimensions(); ++i) {
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if (momentsDims.find(i) == momentsDims.end()) {
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outputShape.push_back(input->length(i));
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} else if (momentsParam->keepDims()) {
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outputShape.push_back(1);
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}
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}
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const auto outputDim = outputShape.size();
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mean->buffer().dimensions = static_cast<int>(outputDim);
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variance->buffer().dimensions = static_cast<int>(outputDim);
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for (int i = 0; i < outputDim; ++i) {
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mean->setLength(i, outputShape[i]);
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variance->setLength(i, outputShape[i]);
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}
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TensorUtils::getDescribe(mean)->dimensionFormat = MNN_DATA_FORMAT_NC4HW4;
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TensorUtils::getDescribe(variance)->dimensionFormat = MNN_DATA_FORMAT_NC4HW4;
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#endif
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return true;
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}
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};
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REGISTER_SHAPE(MomentsComputer, OpType_Moments);
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} // namespace MNN
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