mirror of https://github.com/alibaba/MNN.git
48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
//
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// NNAPIInterp.cpp
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// MNN
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//
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// Created by MNN on 2022/09/30.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "NNAPIInterp.hpp"
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namespace MNN {
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NNAPIInterp::NNAPIInterp(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NNAPICommonExecution(b, op) {
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}
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ErrorCode NNAPIInterp::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto output = outputs[0];
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auto interpParam = mOp->main_as_Interp();
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// nearstneighbor/bilinear: [input, ow/sw, oh/sh, NCHW/NHWC, aligncorners, halfpixelcenter]
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auto inputIdxs = getTensorIdxs(inputs);
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// shape or scale
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#if 1
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inputIdxs.push_back(buildScalar(output->width()));
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inputIdxs.push_back(buildScalar(output->height()));
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#else
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inputIdxs.push_back(buildScalar(interpParam->widthScale()));
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inputIdxs.push_back(buildScalar(interpParam->heightScale()));
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#endif
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inputIdxs.push_back(buildScalar(mNCHW));
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inputIdxs.push_back(buildScalar(interpParam->alignCorners()));
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// inputIdxs.push_back(buildScalar(interpParam->halfPixelCenters()));
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inputIdxs.push_back(buildScalar(!interpParam->halfPixelCenters()));
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int activateType = -1;
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if (interpParam->resizeType() == 1) {
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activateType = ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR;
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} else if (interpParam->resizeType() == 2) {
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activateType = ANEURALNETWORKS_RESIZE_BILINEAR;
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} else {
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MNN_ERROR("[NNAPI] Interp Don't support [Cubic, NearestneighborRound] mode.");
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return NOT_SUPPORT;
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}
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return buildOperation(activateType, inputIdxs, getTensorIdxs(outputs));
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}
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REGISTER_NNAPI_OP_CREATOR(NNAPIInterp, OpType_Interp)
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} // namespace MNN
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