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