wehub-resource-sync
94 lines
3.1 KiB
C++
94 lines
3.1 KiB
C++
//
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// QNNInterp.cpp
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// MNN
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//
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "QNNInterp.hpp"
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#include "QnnOpDef.h"
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namespace MNN {
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namespace QNN {
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#ifdef ENABLE_QNN_ONLINE_FINALIZE
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ErrorCode QNNInterp::onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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mParams.clear();
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mInputs.clear();
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mOutputs.clear();
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auto interpParam = mOp->main_as_Interp();
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int resizeType = interpParam->resizeType();
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bool alignCorners = interpParam->alignCorners();
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bool halfPixelCenters = interpParam->halfPixelCenters();
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// MNN resizeType: 1=nearest, 2=bilinear, 3=cubic, 4=nearest_round
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// Use QNN "Resize" op which supports interpolation_mode + transformation_mode
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mNodeType = "Resize";
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// Determine interpolation mode
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uint32_t interpolationMode;
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if (resizeType == 1 || resizeType == 4) {
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interpolationMode = QNN_OP_RESIZE_INTERPOLATION_MODE_NEAREST;
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} else if (resizeType == 2) {
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interpolationMode = QNN_OP_RESIZE_INTERPOLATION_MODE_LINEAR;
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} else if (resizeType == 3) {
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interpolationMode = QNN_OP_RESIZE_INTERPOLATION_MODE_CUBIC;
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} else {
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interpolationMode = QNN_OP_RESIZE_INTERPOLATION_MODE_NEAREST;
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}
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// Determine transformation mode
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uint32_t transformationMode;
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if (alignCorners) {
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transformationMode = QNN_OP_RESIZE_TRANSFORMATION_MODE_ALIGN_CORNERS;
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} else if (halfPixelCenters) {
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transformationMode = QNN_OP_RESIZE_TRANSFORMATION_MODE_HALF_PIXEL;
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} else {
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transformationMode = QNN_OP_RESIZE_TRANSFORMATION_MODE_ASYMMETRIC;
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}
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this->createParamScalar("interpolation_mode", interpolationMode);
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this->createParamScalar("transformation_mode", transformationMode);
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this->createParamScalar("exclude_outside", (uint32_t)0);
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if (resizeType == 1 || resizeType == 4) {
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uint32_t nearestMode = (resizeType == 4)
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? QNN_OP_RESIZE_NEAREST_MODE_ROUND_PREFER_FLOOR
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: QNN_OP_RESIZE_NEAREST_MODE_FLOOR;
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this->createParamScalar("nearest_mode", nearestMode);
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}
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if (resizeType == 3) {
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float cubicCoeff = interpParam->cubicCoeffA();
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this->createParamScalar("cubic_coeff", cubicCoeff);
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}
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// Add params
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for (int i = 0; i < mParamScalarWrappers.size(); i++) {
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mParams.push_back(*(mParamScalarWrappers[i]->getNativeParam()));
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}
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mInputs.push_back(*(mBackend->getNativeTensor(inputs[0])));
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mOutputs.push_back(*(mBackend->getNativeTensor(outputs[0])));
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mBackend->addNodeToGraph(mOpConfigVersion, mNodeName.c_str(), mPackageName.c_str(),
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mNodeType.c_str(), mParams, mInputs, mOutputs);
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return NO_ERROR;
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}
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class QNNInterpCreator : public QnnBackend::Creator {
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public:
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virtual QNNCommonExecution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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const MNN::Op *op, Backend *backend) const override {
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return new QNNInterp(backend, op);
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}
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};
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REGISTER_QNN_OP_CREATOR(QNNInterpCreator, OpType_Interp)
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#endif
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} // end namespace QNN
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} // end namespace MNN
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