Files
2026-07-13 13:33:03 +08:00

72 lines
2.8 KiB
C++

//
// QNNReshape.cpp
// MNN
//
// Created by MNN on b'2025/04/10'.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "QNNReshape.hpp"
namespace MNN {
namespace QNN {
#ifdef ENABLE_QNN_ONLINE_FINALIZE
ErrorCode QNNReshape::onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
auto inputDimFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
auto outputDimFormat = TensorUtils::getDescribe(outputs[0])->dimensionFormat;
mInputs.push_back(*(mBackend->getNativeTensor(inputs[0])));
mOutputs.push_back(*(mBackend->getNativeTensor(outputs[0])));
if(inputDimFormat == MNN_DATA_FORMAT_NC4HW4 && outputDimFormat == MNN_DATA_FORMAT_NCHW){
mNodeType = "Transpose";
uint32_t dim = inputs[0]->shape().size();
std::vector<uint32_t> permData(dim, 0);
permData[0] = 0;
permData[1] = dim - 1;
for (int i = 2; i < dim; i++) {
permData[i] = i - 1;
}
this->createParamTensor("perm", QNN_DATATYPE_UINT_32, {dim}, (void *)permData.data());
mParams.push_back(*(mParamTensorWrappers.back()->getNativeParam()));
mBackend->addNodeToGraph(mOpConfigVersion, mNodeName.c_str(), mPackageName.c_str(), mNodeType.c_str(), mParams, mInputs, mOutputs);
return NO_ERROR;
}
if(outputDimFormat == MNN_DATA_FORMAT_NC4HW4 && inputDimFormat == MNN_DATA_FORMAT_NCHW){
mNodeType = "Transpose";
uint32_t dim = inputs[0]->shape().size();
std::vector<uint32_t> permData(dim, 0);
permData[0] = 0;
permData[dim - 1] = 1;
for (int i = 1; i < dim - 1; i++) {
permData[i] = i + 1;
}
this->createParamTensor("perm", QNN_DATATYPE_UINT_32, {dim}, (void *)permData.data());
mParams.push_back(*(mParamTensorWrappers.back()->getNativeParam()));
mBackend->addNodeToGraph(mOpConfigVersion, mNodeName.c_str(), mPackageName.c_str(), mNodeType.c_str(), mParams, mInputs, mOutputs);
return NO_ERROR;
}
mNodeType = "Reshape";
mBackend->addNodeToGraph(mOpConfigVersion, mNodeName.c_str(), mPackageName.c_str(), mNodeType.c_str(), mParams, mInputs, mOutputs);
return NO_ERROR;
}
class QNNReshapeCreator : public QnnBackend::Creator {
public:
virtual QNNCommonExecution * onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs, const MNN::Op* op,
Backend* backend) const override {
return new QNNReshape(backend, op);
}
};
// REGISTER_QNN_OP_CREATOR(QNNReshapeCreator, OpType_Reshape)
// REGISTER_QNN_OP_CREATOR(QNNReshapeCreator, OpType_Squeeze)
// REGISTER_QNN_OP_CREATOR(QNNReshapeCreator, OpType_Unsqueeze)
REGISTER_QNN_OP_CREATOR(QNNReshapeCreator, OpType_ConvertTensor)
#endif
} // end namespace QNN
} // end namespace MNN