chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,38 @@
|
||||
//
|
||||
// Normalize.cpp
|
||||
// MNNConverter
|
||||
//
|
||||
// Created by MNN on 2019/01/31.
|
||||
// Copyright © 2018, Alibaba Group Holding Limited
|
||||
//
|
||||
|
||||
#include "OpConverter.hpp"
|
||||
|
||||
class Normalize : public OpConverter {
|
||||
public:
|
||||
virtual void run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight);
|
||||
Normalize() {
|
||||
}
|
||||
virtual ~Normalize() {
|
||||
}
|
||||
virtual MNN::OpType opType() {
|
||||
return MNN::OpType_Normalize;
|
||||
}
|
||||
virtual MNN::OpParameter type() {
|
||||
return MNN::OpParameter_Normalize;
|
||||
}
|
||||
};
|
||||
|
||||
void Normalize::run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight) {
|
||||
auto normizeT = new MNN::NormalizeT;
|
||||
dstOp->main.value = normizeT;
|
||||
auto& l = parameters.norm_param();
|
||||
normizeT->channelShared = l.channel_shared();
|
||||
normizeT->acrossSpatial = l.across_spatial();
|
||||
normizeT->eps = l.eps();
|
||||
auto& scaleBlob = weight.blobs(0);
|
||||
for (int i = 0; i < scaleBlob.data_size(); ++i) {
|
||||
normizeT->scale.push_back(scaleBlob.data(i));
|
||||
}
|
||||
}
|
||||
static OpConverterRegister<Normalize> a("Normalize");
|
||||
Reference in New Issue
Block a user