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Merge pull request #6 from perseusdg/depth

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Merge - build fixes
This commit is contained in:
Harshvardhan Chandirasekar
2022-01-24 21:55:06 +05:30
committed by GitHub
parent 71366befc2 f996659845
commit ef564f134d
2 changed files with 0 additions and 35 deletions
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include/tkDNN/NetworkRT.h
-1
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@@ -98,7 +98,6 @@ public:
nvinfer1::IResizeLayer* convert_layer(nvinfer1::ITensor *input, Upsample *l);
nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, DeformConv2d *l);
nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input,Padding *l);
nvinfer1::ILayer* convert_layer(nvinfer1::ITensor* input,BatchNorm *l);
nvinfer1::ILayer* convert_layer(nvinfer1::ITensor* input,MulAdd *l);
#if NV_TENSORRT_MAJOR > 5 && NV_TENSORRT_MAJOR < 8
src/NetworkRT.cpp
-34
View File
@@ -277,8 +277,6 @@ 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);
if(type == LAYER_MULADD)
return convert_layer(input,(MulAdd*) l);
@@ -411,38 +409,6 @@ 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,MulAdd *l){
void *power_b, *shift_b, *scales_b;