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

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C++

//
// NPULRN.cpp
// MNN
//
// Created by MNN on b'2020/10/15'.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "NPULRN.hpp"
#include "NPUBackend.hpp"
using namespace std;
namespace MNN {
NPULRN::NPULRN(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NPUCommonExecution(b, op) {}
ErrorCode NPULRN::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
mNpuBackend->setNetworkInput(inputs, mOp);
auto opName = mOp->name()->str();
shared_ptr<hiai::op::LRN> lrn(new hiai::op::LRN(opName));
auto param = mOp->main_as_LRN();
int32_t depth_radius = param->localSize();
float bias = param->bias();
float alpha = param->alpha();
float beta = param->beta();
int32_t normRegion = param->regionType();
string normRegionName = "ACROSS_CHANNELS";
if (normRegion == 1) {
normRegionName = "WITHIN_CHANNEL";
}
auto xOp = mNpuBackend->getInputOps(mOp);
auto inputIndex = mOp->inputIndexes()->data()[0];
auto iops = mNpuBackend->mGrapMap[inputIndex]; // x
xOp = iops.back().first;
(*lrn)
.set_input_x(*xOp.get())
.set_attr_depth_radius(depth_radius)
.set_attr_bias(bias)
.set_attr_alpha(alpha)
.set_attr_beta(beta)
.set_attr_norm_region(normRegionName);
mNpuBackend->setOutputOps(mOp, {lrn}, outputs);
return NO_ERROR;
}
NPUCreatorRegister<TypedCreator<NPULRN>> __LRN_op(OpType_LRN);
} // namespace MNN