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Core dumped

Open Zrufy opened this issue 4 years ago • 2 comments

This is the model converted from pytorch to onnx to ncnn.

7767517 36 36 Input input.1 0 1 input.1 Convolution 61 1 1 input.1 61 0=24 1=5 11=5 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=600 ReLU 62 1 1 61 62 ConvolutionDepthWise 63 1 1 62 63 0=24 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=216 7=24 ReLU 64 1 1 63 64 Convolution 65 1 1 64 65 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072 Pooling 66 1 1 65 66 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1 ConvolutionDepthWise 67 1 1 66 67 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128 BatchNorm 68 1 1 67 68 0=128 ReLU 69 1 1 68 69 Convolution 70 1 1 69 70 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768 BatchNorm 71 1 1 70 71 0=256 ConvolutionDepthWise 72 1 1 71 72 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256 ReLU 73 1 1 72 73 Convolution 74 1 1 73 74 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=65536 Pooling 75 1 1 74 75 0=0 1=2 11=2 2=1 12=2 3=1 13=0 14=1 15=0 5=1 ConvolutionDepthWise 76 1 1 75 76 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256 BatchNorm 77 1 1 76 77 0=256 ReLU 78 1 1 77 78 Convolution 79 1 1 78 79 0=512 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=131072 BatchNorm 80 1 1 79 80 0=512 ConvolutionDepthWise 81 1 1 80 81 0=512 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4608 7=512 ReLU 82 1 1 81 82 Convolution 83 1 1 82 83 0=512 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=262144 Pooling 84 1 1 83 84 0=0 1=2 11=2 2=1 12=2 3=1 13=0 14=1 15=0 5=1 ConvolutionDepthWise 85 1 1 84 85 0=512 1=2 11=2 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2048 7=512 BatchNorm 86 1 1 85 86 0=512 ReLU 87 1 1 86 87 Convolution 88 1 1 87 88 0=512 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=262144 BatchNorm 89 1 1 88 89 0=512 Squeeze 90 1 1 89 90 -23303=1,2 Permute 91 1 1 90 91 Reshape 105 1 1 91 105 0=512 InnerProduct 106 1 1 105 106 0=128 1=1 2=65536 InnerProduct 107 1 1 106 107 0=37 1=1 2=4736 Reshape 113 1 1 107 113 0=-1 1=1

when i run the model this go to core dumped.Any help to figure out? i use the same model dense used by https://github.com/ouyanghuiyu/chineseocr_lite. @nihui

Zrufy avatar May 19 '20 07:05 Zrufy