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add mobilenet_v2 benchmark

tags/20180314
nihui 8 years ago
parent
232da265cb
commit
0d26710f3d
2 changed files with 239 additions and 0 deletions
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  1. +18
    -0
      benchmark/benchncnn.cpp
  2. +221
    -0
      benchmark/mobilenet_v2.param

+ 18
- 0
benchmark/benchncnn.cpp View File

@@ -111,6 +111,22 @@ void mobilenet_run(const ncnn::Net& net)
ex.extract("prob", out);
}

void mobilenet_v2_init(ncnn::Net& net)
{
net.load_param("mobilenet_v2.param");
}

void mobilenet_v2_run(const ncnn::Net& net)
{
ncnn::Extractor ex = net.create_extractor();

ncnn::Mat in(224, 224, 3);
ex.input("data", in);

ncnn::Mat out;
ex.extract("prob", out);
}

void shufflenet_init(ncnn::Net& net)
{
net.load_param("shufflenet.param");
@@ -258,6 +274,8 @@ int main(int argc, char** argv)

benchmark("mobilenet", mobilenet_init, mobilenet_run);

benchmark("mobilenet_v2", mobilenet_v2_init, mobilenet_v2_run);

benchmark("shufflenet", shufflenet_init, shufflenet_run);

benchmark("googlenet", googlenet_init, googlenet_run);


+ 221
- 0
benchmark/mobilenet_v2.param View File

@@ -0,0 +1,221 @@
7767517
219 229
Input data 0 1 data 0=224 1=224 2=3
Convolution conv1 1 1 data conv1 0=32 1=3 2=1 3=2 4=1 5=0 6=864
BatchNorm conv1/bn 1 1 conv1 conv1/bn 0=32
Scale conv1/scale 1 1 conv1/bn conv1/bn_conv1/scale 0=32 1=1
ReLU relu1 1 1 conv1/bn_conv1/scale conv1/bn_relu1
Convolution conv2_1/expand 1 1 conv1/bn_relu1 conv2_1/expand 0=32 1=1 2=1 3=1 4=0 5=0 6=1024
BatchNorm conv2_1/expand/bn 1 1 conv2_1/expand conv2_1/expand/bn 0=32
Scale conv2_1/expand/scale 1 1 conv2_1/expand/bn conv2_1/expand/bn_conv2_1/expand/scale 0=32 1=1
ReLU relu2_1/expand 1 1 conv2_1/expand/bn_conv2_1/expand/scale conv2_1/expand/bn_relu2_1/expand
ConvolutionDepthWise conv2_1/dwise 1 1 conv2_1/expand/bn_relu2_1/expand conv2_1/dwise 0=32 1=3 2=1 3=1 4=1 5=0 6=288 7=32
BatchNorm conv2_1/dwise/bn 1 1 conv2_1/dwise conv2_1/dwise/bn 0=32
Scale conv2_1/dwise/scale 1 1 conv2_1/dwise/bn conv2_1/dwise/bn_conv2_1/dwise/scale 0=32 1=1
ReLU relu2_1/dwise 1 1 conv2_1/dwise/bn_conv2_1/dwise/scale conv2_1/dwise/bn_relu2_1/dwise
Convolution conv2_1/linear 1 1 conv2_1/dwise/bn_relu2_1/dwise conv2_1/linear 0=16 1=1 2=1 3=1 4=0 5=0 6=512
BatchNorm conv2_1/linear/bn 1 1 conv2_1/linear conv2_1/linear/bn 0=16
Scale conv2_1/linear/scale 1 1 conv2_1/linear/bn conv2_1/linear/bn_conv2_1/linear/scale 0=16 1=1
Convolution conv2_2/expand 1 1 conv2_1/linear/bn_conv2_1/linear/scale conv2_2/expand 0=96 1=1 2=1 3=1 4=0 5=0 6=1536
BatchNorm conv2_2/expand/bn 1 1 conv2_2/expand conv2_2/expand/bn 0=96
Scale conv2_2/expand/scale 1 1 conv2_2/expand/bn conv2_2/expand/bn_conv2_2/expand/scale 0=96 1=1
ReLU relu2_2/expand 1 1 conv2_2/expand/bn_conv2_2/expand/scale conv2_2/expand/bn_relu2_2/expand
ConvolutionDepthWise conv2_2/dwise 1 1 conv2_2/expand/bn_relu2_2/expand conv2_2/dwise 0=96 1=3 2=1 3=2 4=1 5=0 6=864 7=96
BatchNorm conv2_2/dwise/bn 1 1 conv2_2/dwise conv2_2/dwise/bn 0=96
Scale conv2_2/dwise/scale 1 1 conv2_2/dwise/bn conv2_2/dwise/bn_conv2_2/dwise/scale 0=96 1=1
ReLU relu2_2/dwise 1 1 conv2_2/dwise/bn_conv2_2/dwise/scale conv2_2/dwise/bn_relu2_2/dwise
Convolution conv2_2/linear 1 1 conv2_2/dwise/bn_relu2_2/dwise conv2_2/linear 0=24 1=1 2=1 3=1 4=0 5=0 6=2304
BatchNorm conv2_2/linear/bn 1 1 conv2_2/linear conv2_2/linear/bn 0=24
Scale conv2_2/linear/scale 1 1 conv2_2/linear/bn conv2_2/linear/bn_conv2_2/linear/scale 0=24 1=1
Split splitncnn_0 1 2 conv2_2/linear/bn_conv2_2/linear/scale conv2_2/linear/bn_conv2_2/linear/scale_splitncnn_0 conv2_2/linear/bn_conv2_2/linear/scale_splitncnn_1
Convolution conv3_1/expand 1 1 conv2_2/linear/bn_conv2_2/linear/scale_splitncnn_1 conv3_1/expand 0=144 1=1 2=1 3=1 4=0 5=0 6=3456
BatchNorm conv3_1/expand/bn 1 1 conv3_1/expand conv3_1/expand/bn 0=144
Scale conv3_1/expand/scale 1 1 conv3_1/expand/bn conv3_1/expand/bn_conv3_1/expand/scale 0=144 1=1
ReLU relu3_1/expand 1 1 conv3_1/expand/bn_conv3_1/expand/scale conv3_1/expand/bn_relu3_1/expand
ConvolutionDepthWise conv3_1/dwise 1 1 conv3_1/expand/bn_relu3_1/expand conv3_1/dwise 0=144 1=3 2=1 3=1 4=1 5=0 6=1296 7=144
BatchNorm conv3_1/dwise/bn 1 1 conv3_1/dwise conv3_1/dwise/bn 0=144
Scale conv3_1/dwise/scale 1 1 conv3_1/dwise/bn conv3_1/dwise/bn_conv3_1/dwise/scale 0=144 1=1
ReLU relu3_1/dwise 1 1 conv3_1/dwise/bn_conv3_1/dwise/scale conv3_1/dwise/bn_relu3_1/dwise
Convolution conv3_1/linear 1 1 conv3_1/dwise/bn_relu3_1/dwise conv3_1/linear 0=24 1=1 2=1 3=1 4=0 5=0 6=3456
BatchNorm conv3_1/linear/bn 1 1 conv3_1/linear conv3_1/linear/bn 0=24
Scale conv3_1/linear/scale 1 1 conv3_1/linear/bn conv3_1/linear/bn_conv3_1/linear/scale 0=24 1=1
Eltwise block_3_1 2 1 conv2_2/linear/bn_conv2_2/linear/scale_splitncnn_0 conv3_1/linear/bn_conv3_1/linear/scale block_3_1 0=1 -23301=0
Convolution conv3_2/expand 1 1 block_3_1 conv3_2/expand 0=144 1=1 2=1 3=1 4=0 5=0 6=3456
BatchNorm conv3_2/expand/bn 1 1 conv3_2/expand conv3_2/expand/bn 0=144
Scale conv3_2/expand/scale 1 1 conv3_2/expand/bn conv3_2/expand/bn_conv3_2/expand/scale 0=144 1=1
ReLU relu3_2/expand 1 1 conv3_2/expand/bn_conv3_2/expand/scale conv3_2/expand/bn_relu3_2/expand
ConvolutionDepthWise conv3_2/dwise 1 1 conv3_2/expand/bn_relu3_2/expand conv3_2/dwise 0=144 1=3 2=1 3=2 4=1 5=0 6=1296 7=144
BatchNorm conv3_2/dwise/bn 1 1 conv3_2/dwise conv3_2/dwise/bn 0=144
Scale conv3_2/dwise/scale 1 1 conv3_2/dwise/bn conv3_2/dwise/bn_conv3_2/dwise/scale 0=144 1=1
ReLU relu3_2/dwise 1 1 conv3_2/dwise/bn_conv3_2/dwise/scale conv3_2/dwise/bn_relu3_2/dwise
Convolution conv3_2/linear 1 1 conv3_2/dwise/bn_relu3_2/dwise conv3_2/linear 0=32 1=1 2=1 3=1 4=0 5=0 6=4608
BatchNorm conv3_2/linear/bn 1 1 conv3_2/linear conv3_2/linear/bn 0=32
Scale conv3_2/linear/scale 1 1 conv3_2/linear/bn conv3_2/linear/bn_conv3_2/linear/scale 0=32 1=1
Split splitncnn_1 1 2 conv3_2/linear/bn_conv3_2/linear/scale conv3_2/linear/bn_conv3_2/linear/scale_splitncnn_0 conv3_2/linear/bn_conv3_2/linear/scale_splitncnn_1
Convolution conv4_1/expand 1 1 conv3_2/linear/bn_conv3_2/linear/scale_splitncnn_1 conv4_1/expand 0=192 1=1 2=1 3=1 4=0 5=0 6=6144
BatchNorm conv4_1/expand/bn 1 1 conv4_1/expand conv4_1/expand/bn 0=192
Scale conv4_1/expand/scale 1 1 conv4_1/expand/bn conv4_1/expand/bn_conv4_1/expand/scale 0=192 1=1
ReLU relu4_1/expand 1 1 conv4_1/expand/bn_conv4_1/expand/scale conv4_1/expand/bn_relu4_1/expand
ConvolutionDepthWise conv4_1/dwise 1 1 conv4_1/expand/bn_relu4_1/expand conv4_1/dwise 0=192 1=3 2=1 3=1 4=1 5=0 6=1728 7=192
BatchNorm conv4_1/dwise/bn 1 1 conv4_1/dwise conv4_1/dwise/bn 0=192
Scale conv4_1/dwise/scale 1 1 conv4_1/dwise/bn conv4_1/dwise/bn_conv4_1/dwise/scale 0=192 1=1
ReLU relu4_1/dwise 1 1 conv4_1/dwise/bn_conv4_1/dwise/scale conv4_1/dwise/bn_relu4_1/dwise
Convolution conv4_1/linear 1 1 conv4_1/dwise/bn_relu4_1/dwise conv4_1/linear 0=32 1=1 2=1 3=1 4=0 5=0 6=6144
BatchNorm conv4_1/linear/bn 1 1 conv4_1/linear conv4_1/linear/bn 0=32
Scale conv4_1/linear/scale 1 1 conv4_1/linear/bn conv4_1/linear/bn_conv4_1/linear/scale 0=32 1=1
Eltwise block_4_1 2 1 conv3_2/linear/bn_conv3_2/linear/scale_splitncnn_0 conv4_1/linear/bn_conv4_1/linear/scale block_4_1 0=1 -23301=0
Split splitncnn_2 1 2 block_4_1 block_4_1_splitncnn_0 block_4_1_splitncnn_1
Convolution conv4_2/expand 1 1 block_4_1_splitncnn_1 conv4_2/expand 0=192 1=1 2=1 3=1 4=0 5=0 6=6144
BatchNorm conv4_2/expand/bn 1 1 conv4_2/expand conv4_2/expand/bn 0=192
Scale conv4_2/expand/scale 1 1 conv4_2/expand/bn conv4_2/expand/bn_conv4_2/expand/scale 0=192 1=1
ReLU relu4_2/expand 1 1 conv4_2/expand/bn_conv4_2/expand/scale conv4_2/expand/bn_relu4_2/expand
ConvolutionDepthWise conv4_2/dwise 1 1 conv4_2/expand/bn_relu4_2/expand conv4_2/dwise 0=192 1=3 2=1 3=1 4=1 5=0 6=1728 7=192
BatchNorm conv4_2/dwise/bn 1 1 conv4_2/dwise conv4_2/dwise/bn 0=192
Scale conv4_2/dwise/scale 1 1 conv4_2/dwise/bn conv4_2/dwise/bn_conv4_2/dwise/scale 0=192 1=1
ReLU relu4_2/dwise 1 1 conv4_2/dwise/bn_conv4_2/dwise/scale conv4_2/dwise/bn_relu4_2/dwise
Convolution conv4_2/linear 1 1 conv4_2/dwise/bn_relu4_2/dwise conv4_2/linear 0=32 1=1 2=1 3=1 4=0 5=0 6=6144
BatchNorm conv4_2/linear/bn 1 1 conv4_2/linear conv4_2/linear/bn 0=32
Scale conv4_2/linear/scale 1 1 conv4_2/linear/bn conv4_2/linear/bn_conv4_2/linear/scale 0=32 1=1
Eltwise block_4_2 2 1 block_4_1_splitncnn_0 conv4_2/linear/bn_conv4_2/linear/scale block_4_2 0=1 -23301=0
Convolution conv4_3/expand 1 1 block_4_2 conv4_3/expand 0=192 1=1 2=1 3=1 4=0 5=0 6=6144
BatchNorm conv4_3/expand/bn 1 1 conv4_3/expand conv4_3/expand/bn 0=192
Scale conv4_3/expand/scale 1 1 conv4_3/expand/bn conv4_3/expand/bn_conv4_3/expand/scale 0=192 1=1
ReLU relu4_3/expand 1 1 conv4_3/expand/bn_conv4_3/expand/scale conv4_3/expand/bn_relu4_3/expand
ConvolutionDepthWise conv4_3/dwise 1 1 conv4_3/expand/bn_relu4_3/expand conv4_3/dwise 0=192 1=3 2=1 3=1 4=1 5=0 6=1728 7=192
BatchNorm conv4_3/dwise/bn 1 1 conv4_3/dwise conv4_3/dwise/bn 0=192
Scale conv4_3/dwise/scale 1 1 conv4_3/dwise/bn conv4_3/dwise/bn_conv4_3/dwise/scale 0=192 1=1
ReLU relu4_3/dwise 1 1 conv4_3/dwise/bn_conv4_3/dwise/scale conv4_3/dwise/bn_relu4_3/dwise
Convolution conv4_3/linear 1 1 conv4_3/dwise/bn_relu4_3/dwise conv4_3/linear 0=64 1=1 2=1 3=1 4=0 5=0 6=12288
BatchNorm conv4_3/linear/bn 1 1 conv4_3/linear conv4_3/linear/bn 0=64
Scale conv4_3/linear/scale 1 1 conv4_3/linear/bn conv4_3/linear/bn_conv4_3/linear/scale 0=64 1=1
Split splitncnn_3 1 2 conv4_3/linear/bn_conv4_3/linear/scale conv4_3/linear/bn_conv4_3/linear/scale_splitncnn_0 conv4_3/linear/bn_conv4_3/linear/scale_splitncnn_1
Convolution conv4_4/expand 1 1 conv4_3/linear/bn_conv4_3/linear/scale_splitncnn_1 conv4_4/expand 0=384 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_4/expand/bn 1 1 conv4_4/expand conv4_4/expand/bn 0=384
Scale conv4_4/expand/scale 1 1 conv4_4/expand/bn conv4_4/expand/bn_conv4_4/expand/scale 0=384 1=1
ReLU relu4_4/expand 1 1 conv4_4/expand/bn_conv4_4/expand/scale conv4_4/expand/bn_relu4_4/expand
ConvolutionDepthWise conv4_4/dwise 1 1 conv4_4/expand/bn_relu4_4/expand conv4_4/dwise 0=384 1=3 2=1 3=1 4=1 5=0 6=3456 7=384
BatchNorm conv4_4/dwise/bn 1 1 conv4_4/dwise conv4_4/dwise/bn 0=384
Scale conv4_4/dwise/scale 1 1 conv4_4/dwise/bn conv4_4/dwise/bn_conv4_4/dwise/scale 0=384 1=1
ReLU relu4_4/dwise 1 1 conv4_4/dwise/bn_conv4_4/dwise/scale conv4_4/dwise/bn_relu4_4/dwise
Convolution conv4_4/linear 1 1 conv4_4/dwise/bn_relu4_4/dwise conv4_4/linear 0=64 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_4/linear/bn 1 1 conv4_4/linear conv4_4/linear/bn 0=64
Scale conv4_4/linear/scale 1 1 conv4_4/linear/bn conv4_4/linear/bn_conv4_4/linear/scale 0=64 1=1
Eltwise block_4_4 2 1 conv4_3/linear/bn_conv4_3/linear/scale_splitncnn_0 conv4_4/linear/bn_conv4_4/linear/scale block_4_4 0=1 -23301=0
Split splitncnn_4 1 2 block_4_4 block_4_4_splitncnn_0 block_4_4_splitncnn_1
Convolution conv4_5/expand 1 1 block_4_4_splitncnn_1 conv4_5/expand 0=384 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_5/expand/bn 1 1 conv4_5/expand conv4_5/expand/bn 0=384
Scale conv4_5/expand/scale 1 1 conv4_5/expand/bn conv4_5/expand/bn_conv4_5/expand/scale 0=384 1=1
ReLU relu4_5/expand 1 1 conv4_5/expand/bn_conv4_5/expand/scale conv4_5/expand/bn_relu4_5/expand
ConvolutionDepthWise conv4_5/dwise 1 1 conv4_5/expand/bn_relu4_5/expand conv4_5/dwise 0=384 1=3 2=1 3=1 4=1 5=0 6=3456 7=384
BatchNorm conv4_5/dwise/bn 1 1 conv4_5/dwise conv4_5/dwise/bn 0=384
Scale conv4_5/dwise/scale 1 1 conv4_5/dwise/bn conv4_5/dwise/bn_conv4_5/dwise/scale 0=384 1=1
ReLU relu4_5/dwise 1 1 conv4_5/dwise/bn_conv4_5/dwise/scale conv4_5/dwise/bn_relu4_5/dwise
Convolution conv4_5/linear 1 1 conv4_5/dwise/bn_relu4_5/dwise conv4_5/linear 0=64 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_5/linear/bn 1 1 conv4_5/linear conv4_5/linear/bn 0=64
Scale conv4_5/linear/scale 1 1 conv4_5/linear/bn conv4_5/linear/bn_conv4_5/linear/scale 0=64 1=1
Eltwise block_4_5 2 1 block_4_4_splitncnn_0 conv4_5/linear/bn_conv4_5/linear/scale block_4_5 0=1 -23301=0
Split splitncnn_5 1 2 block_4_5 block_4_5_splitncnn_0 block_4_5_splitncnn_1
Convolution conv4_6/expand 1 1 block_4_5_splitncnn_1 conv4_6/expand 0=384 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_6/expand/bn 1 1 conv4_6/expand conv4_6/expand/bn 0=384
Scale conv4_6/expand/scale 1 1 conv4_6/expand/bn conv4_6/expand/bn_conv4_6/expand/scale 0=384 1=1
ReLU relu4_6/expand 1 1 conv4_6/expand/bn_conv4_6/expand/scale conv4_6/expand/bn_relu4_6/expand
ConvolutionDepthWise conv4_6/dwise 1 1 conv4_6/expand/bn_relu4_6/expand conv4_6/dwise 0=384 1=3 2=1 3=1 4=1 5=0 6=3456 7=384
BatchNorm conv4_6/dwise/bn 1 1 conv4_6/dwise conv4_6/dwise/bn 0=384
Scale conv4_6/dwise/scale 1 1 conv4_6/dwise/bn conv4_6/dwise/bn_conv4_6/dwise/scale 0=384 1=1
ReLU relu4_6/dwise 1 1 conv4_6/dwise/bn_conv4_6/dwise/scale conv4_6/dwise/bn_relu4_6/dwise
Convolution conv4_6/linear 1 1 conv4_6/dwise/bn_relu4_6/dwise conv4_6/linear 0=64 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_6/linear/bn 1 1 conv4_6/linear conv4_6/linear/bn 0=64
Scale conv4_6/linear/scale 1 1 conv4_6/linear/bn conv4_6/linear/bn_conv4_6/linear/scale 0=64 1=1
Eltwise block_4_6 2 1 block_4_5_splitncnn_0 conv4_6/linear/bn_conv4_6/linear/scale block_4_6 0=1 -23301=0
Convolution conv4_7/expand 1 1 block_4_6 conv4_7/expand 0=384 1=1 2=1 3=1 4=0 5=0 6=24576
BatchNorm conv4_7/expand/bn 1 1 conv4_7/expand conv4_7/expand/bn 0=384
Scale conv4_7/expand/scale 1 1 conv4_7/expand/bn conv4_7/expand/bn_conv4_7/expand/scale 0=384 1=1
ReLU relu4_7/expand 1 1 conv4_7/expand/bn_conv4_7/expand/scale conv4_7/expand/bn_relu4_7/expand
ConvolutionDepthWise conv4_7/dwise 1 1 conv4_7/expand/bn_relu4_7/expand conv4_7/dwise 0=384 1=3 2=1 3=2 4=1 5=0 6=3456 7=384
BatchNorm conv4_7/dwise/bn 1 1 conv4_7/dwise conv4_7/dwise/bn 0=384
Scale conv4_7/dwise/scale 1 1 conv4_7/dwise/bn conv4_7/dwise/bn_conv4_7/dwise/scale 0=384 1=1
ReLU relu4_7/dwise 1 1 conv4_7/dwise/bn_conv4_7/dwise/scale conv4_7/dwise/bn_relu4_7/dwise
Convolution conv4_7/linear 1 1 conv4_7/dwise/bn_relu4_7/dwise conv4_7/linear 0=96 1=1 2=1 3=1 4=0 5=0 6=36864
BatchNorm conv4_7/linear/bn 1 1 conv4_7/linear conv4_7/linear/bn 0=96
Scale conv4_7/linear/scale 1 1 conv4_7/linear/bn conv4_7/linear/bn_conv4_7/linear/scale 0=96 1=1
Split splitncnn_6 1 2 conv4_7/linear/bn_conv4_7/linear/scale conv4_7/linear/bn_conv4_7/linear/scale_splitncnn_0 conv4_7/linear/bn_conv4_7/linear/scale_splitncnn_1
Convolution conv5_1/expand 1 1 conv4_7/linear/bn_conv4_7/linear/scale_splitncnn_1 conv5_1/expand 0=576 1=1 2=1 3=1 4=0 5=0 6=55296
BatchNorm conv5_1/expand/bn 1 1 conv5_1/expand conv5_1/expand/bn 0=576
Scale conv5_1/expand/scale 1 1 conv5_1/expand/bn conv5_1/expand/bn_conv5_1/expand/scale 0=576 1=1
ReLU relu5_1/expand 1 1 conv5_1/expand/bn_conv5_1/expand/scale conv5_1/expand/bn_relu5_1/expand
ConvolutionDepthWise conv5_1/dwise 1 1 conv5_1/expand/bn_relu5_1/expand conv5_1/dwise 0=576 1=3 2=1 3=1 4=1 5=0 6=5184 7=576
BatchNorm conv5_1/dwise/bn 1 1 conv5_1/dwise conv5_1/dwise/bn 0=576
Scale conv5_1/dwise/scale 1 1 conv5_1/dwise/bn conv5_1/dwise/bn_conv5_1/dwise/scale 0=576 1=1
ReLU relu5_1/dwise 1 1 conv5_1/dwise/bn_conv5_1/dwise/scale conv5_1/dwise/bn_relu5_1/dwise
Convolution conv5_1/linear 1 1 conv5_1/dwise/bn_relu5_1/dwise conv5_1/linear 0=96 1=1 2=1 3=1 4=0 5=0 6=55296
BatchNorm conv5_1/linear/bn 1 1 conv5_1/linear conv5_1/linear/bn 0=96
Scale conv5_1/linear/scale 1 1 conv5_1/linear/bn conv5_1/linear/bn_conv5_1/linear/scale 0=96 1=1
Eltwise block_5_1 2 1 conv4_7/linear/bn_conv4_7/linear/scale_splitncnn_0 conv5_1/linear/bn_conv5_1/linear/scale block_5_1 0=1 -23301=0
Split splitncnn_7 1 2 block_5_1 block_5_1_splitncnn_0 block_5_1_splitncnn_1
Convolution conv5_2/expand 1 1 block_5_1_splitncnn_1 conv5_2/expand 0=576 1=1 2=1 3=1 4=0 5=0 6=55296
BatchNorm conv5_2/expand/bn 1 1 conv5_2/expand conv5_2/expand/bn 0=576
Scale conv5_2/expand/scale 1 1 conv5_2/expand/bn conv5_2/expand/bn_conv5_2/expand/scale 0=576 1=1
ReLU relu5_2/expand 1 1 conv5_2/expand/bn_conv5_2/expand/scale conv5_2/expand/bn_relu5_2/expand
ConvolutionDepthWise conv5_2/dwise 1 1 conv5_2/expand/bn_relu5_2/expand conv5_2/dwise 0=576 1=3 2=1 3=1 4=1 5=0 6=5184 7=576
BatchNorm conv5_2/dwise/bn 1 1 conv5_2/dwise conv5_2/dwise/bn 0=576
Scale conv5_2/dwise/scale 1 1 conv5_2/dwise/bn conv5_2/dwise/bn_conv5_2/dwise/scale 0=576 1=1
ReLU relu5_2/dwise 1 1 conv5_2/dwise/bn_conv5_2/dwise/scale conv5_2/dwise/bn_relu5_2/dwise
Convolution conv5_2/linear 1 1 conv5_2/dwise/bn_relu5_2/dwise conv5_2/linear 0=96 1=1 2=1 3=1 4=0 5=0 6=55296
BatchNorm conv5_2/linear/bn 1 1 conv5_2/linear conv5_2/linear/bn 0=96
Scale conv5_2/linear/scale 1 1 conv5_2/linear/bn conv5_2/linear/bn_conv5_2/linear/scale 0=96 1=1
Eltwise block_5_2 2 1 block_5_1_splitncnn_0 conv5_2/linear/bn_conv5_2/linear/scale block_5_2 0=1 -23301=0
Convolution conv5_3/expand 1 1 block_5_2 conv5_3/expand 0=576 1=1 2=1 3=1 4=0 5=0 6=55296
BatchNorm conv5_3/expand/bn 1 1 conv5_3/expand conv5_3/expand/bn 0=576
Scale conv5_3/expand/scale 1 1 conv5_3/expand/bn conv5_3/expand/bn_conv5_3/expand/scale 0=576 1=1
ReLU relu5_3/expand 1 1 conv5_3/expand/bn_conv5_3/expand/scale conv5_3/expand/bn_relu5_3/expand
ConvolutionDepthWise conv5_3/dwise 1 1 conv5_3/expand/bn_relu5_3/expand conv5_3/dwise 0=576 1=3 2=1 3=2 4=1 5=0 6=5184 7=576
BatchNorm conv5_3/dwise/bn 1 1 conv5_3/dwise conv5_3/dwise/bn 0=576
Scale conv5_3/dwise/scale 1 1 conv5_3/dwise/bn conv5_3/dwise/bn_conv5_3/dwise/scale 0=576 1=1
ReLU relu5_3/dwise 1 1 conv5_3/dwise/bn_conv5_3/dwise/scale conv5_3/dwise/bn_relu5_3/dwise
Convolution conv5_3/linear 1 1 conv5_3/dwise/bn_relu5_3/dwise conv5_3/linear 0=160 1=1 2=1 3=1 4=0 5=0 6=92160
BatchNorm conv5_3/linear/bn 1 1 conv5_3/linear conv5_3/linear/bn 0=160
Scale conv5_3/linear/scale 1 1 conv5_3/linear/bn conv5_3/linear/bn_conv5_3/linear/scale 0=160 1=1
Split splitncnn_8 1 2 conv5_3/linear/bn_conv5_3/linear/scale conv5_3/linear/bn_conv5_3/linear/scale_splitncnn_0 conv5_3/linear/bn_conv5_3/linear/scale_splitncnn_1
Convolution conv6_1/expand 1 1 conv5_3/linear/bn_conv5_3/linear/scale_splitncnn_1 conv6_1/expand 0=960 1=1 2=1 3=1 4=0 5=0 6=153600
BatchNorm conv6_1/expand/bn 1 1 conv6_1/expand conv6_1/expand/bn 0=960
Scale conv6_1/expand/scale 1 1 conv6_1/expand/bn conv6_1/expand/bn_conv6_1/expand/scale 0=960 1=1
ReLU relu6_1/expand 1 1 conv6_1/expand/bn_conv6_1/expand/scale conv6_1/expand/bn_relu6_1/expand
ConvolutionDepthWise conv6_1/dwise 1 1 conv6_1/expand/bn_relu6_1/expand conv6_1/dwise 0=960 1=3 2=1 3=1 4=1 5=0 6=8640 7=960
BatchNorm conv6_1/dwise/bn 1 1 conv6_1/dwise conv6_1/dwise/bn 0=960
Scale conv6_1/dwise/scale 1 1 conv6_1/dwise/bn conv6_1/dwise/bn_conv6_1/dwise/scale 0=960 1=1
ReLU relu6_1/dwise 1 1 conv6_1/dwise/bn_conv6_1/dwise/scale conv6_1/dwise/bn_relu6_1/dwise
Convolution conv6_1/linear 1 1 conv6_1/dwise/bn_relu6_1/dwise conv6_1/linear 0=160 1=1 2=1 3=1 4=0 5=0 6=153600
BatchNorm conv6_1/linear/bn 1 1 conv6_1/linear conv6_1/linear/bn 0=160
Scale conv6_1/linear/scale 1 1 conv6_1/linear/bn conv6_1/linear/bn_conv6_1/linear/scale 0=160 1=1
Eltwise block_6_1 2 1 conv5_3/linear/bn_conv5_3/linear/scale_splitncnn_0 conv6_1/linear/bn_conv6_1/linear/scale block_6_1 0=1 -23301=0
Split splitncnn_9 1 2 block_6_1 block_6_1_splitncnn_0 block_6_1_splitncnn_1
Convolution conv6_2/expand 1 1 block_6_1_splitncnn_1 conv6_2/expand 0=960 1=1 2=1 3=1 4=0 5=0 6=153600
BatchNorm conv6_2/expand/bn 1 1 conv6_2/expand conv6_2/expand/bn 0=960
Scale conv6_2/expand/scale 1 1 conv6_2/expand/bn conv6_2/expand/bn_conv6_2/expand/scale 0=960 1=1
ReLU relu6_2/expand 1 1 conv6_2/expand/bn_conv6_2/expand/scale conv6_2/expand/bn_relu6_2/expand
ConvolutionDepthWise conv6_2/dwise 1 1 conv6_2/expand/bn_relu6_2/expand conv6_2/dwise 0=960 1=3 2=1 3=1 4=1 5=0 6=8640 7=960
BatchNorm conv6_2/dwise/bn 1 1 conv6_2/dwise conv6_2/dwise/bn 0=960
Scale conv6_2/dwise/scale 1 1 conv6_2/dwise/bn conv6_2/dwise/bn_conv6_2/dwise/scale 0=960 1=1
ReLU relu6_2/dwise 1 1 conv6_2/dwise/bn_conv6_2/dwise/scale conv6_2/dwise/bn_relu6_2/dwise
Convolution conv6_2/linear 1 1 conv6_2/dwise/bn_relu6_2/dwise conv6_2/linear 0=160 1=1 2=1 3=1 4=0 5=0 6=153600
BatchNorm conv6_2/linear/bn 1 1 conv6_2/linear conv6_2/linear/bn 0=160
Scale conv6_2/linear/scale 1 1 conv6_2/linear/bn conv6_2/linear/bn_conv6_2/linear/scale 0=160 1=1
Eltwise block_6_2 2 1 block_6_1_splitncnn_0 conv6_2/linear/bn_conv6_2/linear/scale block_6_2 0=1 -23301=0
Convolution conv6_3/expand 1 1 block_6_2 conv6_3/expand 0=960 1=1 2=1 3=1 4=0 5=0 6=153600
BatchNorm conv6_3/expand/bn 1 1 conv6_3/expand conv6_3/expand/bn 0=960
Scale conv6_3/expand/scale 1 1 conv6_3/expand/bn conv6_3/expand/bn_conv6_3/expand/scale 0=960 1=1
ReLU relu6_3/expand 1 1 conv6_3/expand/bn_conv6_3/expand/scale conv6_3/expand/bn_relu6_3/expand
ConvolutionDepthWise conv6_3/dwise 1 1 conv6_3/expand/bn_relu6_3/expand conv6_3/dwise 0=960 1=3 2=1 3=1 4=1 5=0 6=8640 7=960
BatchNorm conv6_3/dwise/bn 1 1 conv6_3/dwise conv6_3/dwise/bn 0=960
Scale conv6_3/dwise/scale 1 1 conv6_3/dwise/bn conv6_3/dwise/bn_conv6_3/dwise/scale 0=960 1=1
ReLU relu6_3/dwise 1 1 conv6_3/dwise/bn_conv6_3/dwise/scale conv6_3/dwise/bn_relu6_3/dwise
Convolution conv6_3/linear 1 1 conv6_3/dwise/bn_relu6_3/dwise conv6_3/linear 0=320 1=1 2=1 3=1 4=0 5=0 6=307200
BatchNorm conv6_3/linear/bn 1 1 conv6_3/linear conv6_3/linear/bn 0=320
Scale conv6_3/linear/scale 1 1 conv6_3/linear/bn conv6_3/linear/bn_conv6_3/linear/scale 0=320 1=1
Convolution conv6_4 1 1 conv6_3/linear/bn_conv6_3/linear/scale conv6_4 0=1280 1=1 2=1 3=1 4=0 5=0 6=409600
BatchNorm conv6_4/bn 1 1 conv6_4 conv6_4/bn 0=1280
Scale conv6_4/scale 1 1 conv6_4/bn conv6_4/bn_conv6_4/scale 0=1280 1=1
ReLU relu6_4 1 1 conv6_4/bn_conv6_4/scale conv6_4/bn_relu6_4
Pooling pool6 1 1 conv6_4/bn_relu6_4 pool6 0=1 1=0 2=1 3=0 4=1
Convolution fc7 1 1 pool6 fc7 0=1000 1=1 2=1 3=1 4=0 5=1 6=1280000
Softmax prob 1 1 fc7 prob 0=0

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