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Added BatchNorm to NetworkRT (conver_layer)

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This commit is contained in:
perseusdg
2022-01-10 22:40:31 +05:30
parent bcf0c4eab3
commit 061bc79a69
2 changed files with 35 additions and 0 deletions
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src/NetworkRT.cpp
+34
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@@ -277,6 +277,8 @@ ILayer* NetworkRT::convert_layer(ITensor *input, Layer *l) {
return convert_layer(input, (DeformConv2d*) l);
if(type == LAYER_PADDING)
return convert_layer(input, (Padding*) l);
if(type == LAYER_BATCHNORM)
return convert_layer(input,(BatchNorm*) l);
std::cout<<l->getLayerName()<<"\n";
FatalError("Layer not implemented in tensorRT");
@@ -407,6 +409,38 @@ ILayer* NetworkRT::convert_layer(ITensor *input, Conv2d *l) {
return lRT;
}
ILayer* NetworkRT::convert_layer(ITensor *input,BatchNorm *l){
void *bias_b, *power_b, *mean_b, *variance_b, *scales_b;
if(dtRT == DataType::kHALF) {
bias_b = l->bias16_h;
power_b = l->power16_h;
mean_b = l->mean16_h;
variance_b = l->variance16_h;
scales_b = l->scales16_h;
} else {
bias_b = l->bias_h;
power_b = l->power_h;
mean_b = l->mean_h;
variance_b = l->variance_h;
scales_b = l->scales_h;
}
Weights power{dtRT, power_b, l->outputs};
Weights shift{dtRT, mean_b, l->outputs};
Weights scale{dtRT, variance_b, l->outputs};
IScaleLayer *lRT = networkRT->addScale(*input, ScaleMode::kCHANNEL,
shift, scale, power);
checkNULL(lRT);
Weights shift2{dtRT, bias_b, l->outputs};
Weights scale2{dtRT, scales_b, l->outputs};
IScaleLayer *lRT2 = networkRT->addScale(*lRT->getOutput(0), ScaleMode::kCHANNEL,
shift2, scale2, power);
checkNULL(lRT2);
return lRT2;
}
ILayer* NetworkRT::convert_layer(ITensor *input, Pooling *l) {
// std::cout<<"convert Pooling\n";