mirror of https://github.com/alibaba/MNN.git
65 lines
2.4 KiB
C++
65 lines
2.4 KiB
C++
//
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// ShapeTensorConvert.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 "shape/SizeComputer.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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class TensorConvertSizeComputer : 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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auto& ib = inputs[0]->buffer();
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auto& ob = outputs[0]->buffer();
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auto info = op->main_as_TensorConvertInfo();
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auto sourceFmt = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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if (sourceFmt == MNN_DATA_FORMAT_NC4HW4) {
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sourceFmt = MNN_DATA_FORMAT_NCHW;
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}
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auto destFmt = info->dest();
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#if KAI_CONV_NCHW_IN_OUT
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KleidiAI& kai = KleidiAI::getInstance();
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if(kai.canAccelerate()) {
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kai.setLinear(true);
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destFmt = MNN_DATA_FORMAT_NCHW;
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}
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#endif
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TensorUtils::getDescribe(outputs[0])->dimensionFormat = destFmt;
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if (destFmt == MNN_DATA_FORMAT_NC4HW4) {
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destFmt = MNN_DATA_FORMAT_NCHW;
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}
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ob.type = ib.type;
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ob.dimensions = ib.dimensions;
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if ((ib.dimensions == 2) || (sourceFmt == destFmt)) {
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for (int i = 0; i < ib.dimensions; ++i) {
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ob.dim[i].extent = ib.dim[i].extent;
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}
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return true;
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}
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ob.dim[0].extent = ib.dim[0].extent;
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if (sourceFmt == MNN_DATA_FORMAT_NCHW && destFmt == MNN_DATA_FORMAT_NHWC) {
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ob.dim[ob.dimensions - 1].extent = ib.dim[1].extent;
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for (int i = 1; i < ob.dimensions - 1; ++i) {
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ob.dim[i].extent = ib.dim[i + 1].extent;
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}
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} else if (destFmt == MNN_DATA_FORMAT_NCHW && sourceFmt == MNN_DATA_FORMAT_NHWC) {
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ob.dim[1].extent = ib.dim[ib.dimensions - 1].extent;
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for (int i = 2; i < ob.dimensions; ++i) {
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ob.dim[i].extent = ib.dim[i - 1].extent;
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}
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}
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return true;
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}
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};
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REGISTER_SHAPE(TensorConvertSizeComputer, OpType_ConvertTensor);
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} // namespace MNN
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