718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
123 lines
18 KiB
Plaintext
123 lines
18 KiB
Plaintext
7767517
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120 136
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Input data 0 1 data -23330=4,3,224,224,3 0=224 1=224 2=3
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Convolution conv1 1 1 data conv1_conv1_relu -23330=4,3,112,112,24 0=24 1=3 3=2 4=1 5=1 6=648 9=1
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Pooling pool1 1 1 conv1_conv1_relu pool1 -23330=4,3,56,56,24 1=3 2=2
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Split splitncnn_0 1 2 pool1 pool1_splitncnn_0 pool1_splitncnn_1 -23330=8,3,56,56,24,3,56,56,24
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Pooling resx1_match_conv 1 1 pool1_splitncnn_1 resx1_match_conv -23330=4,3,28,28,24 0=1 1=3 2=2
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Convolution resx1_conv1 1 1 pool1_splitncnn_0 resx1_conv1_resx1_conv1_relu -23330=4,3,56,56,54 0=54 1=1 5=1 6=1296 9=1
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ConvolutionDepthWise resx1_conv2 1 1 resx1_conv1_resx1_conv1_relu resx1_conv2_resx1_conv2_scale -23330=4,3,28,28,54 0=54 1=3 3=2 4=1 5=1 6=486 7=54
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ConvolutionDepthWise resx1_conv3 1 1 resx1_conv2_resx1_conv2_scale resx1_conv3_resx1_conv3_scale -23330=4,3,28,28,216 0=216 1=1 5=1 6=3888 7=3
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Concat resx1_concat 2 1 resx1_match_conv resx1_conv3_resx1_conv3_scale resx1_concat -23330=4,3,28,28,240
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ReLU resx1_concat_relu 1 1 resx1_concat resx1_concat_resx1_concat_relu -23330=4,3,28,28,240
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Split splitncnn_1 1 2 resx1_concat_resx1_concat_relu resx1_concat_resx1_concat_relu_splitncnn_0 resx1_concat_resx1_concat_relu_splitncnn_1 -23330=8,3,28,28,240,3,28,28,240
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ConvolutionDepthWise resx2_conv1 1 1 resx1_concat_resx1_concat_relu_splitncnn_1 resx2_conv1_resx2_conv1_relu -23330=4,3,28,28,60 0=60 1=1 5=1 6=4800 7=3 9=1
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ShuffleChannel shuffle2 1 1 resx2_conv1_resx2_conv1_relu shuffle2 -23330=4,3,28,28,60 0=3
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ConvolutionDepthWise resx2_conv2 1 1 shuffle2 resx2_conv2_resx2_conv2_scale -23330=4,3,28,28,60 0=60 1=3 4=1 5=1 6=540 7=60
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ConvolutionDepthWise resx2_conv3 1 1 resx2_conv2_resx2_conv2_scale resx2_conv3_resx2_conv3_scale -23330=4,3,28,28,240 0=240 1=1 5=1 6=4800 7=3
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Eltwise resx2_elewise 2 1 resx1_concat_resx1_concat_relu_splitncnn_0 resx2_conv3_resx2_conv3_scale resx2_elewise -23330=4,3,28,28,240 0=1
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ReLU resx2_elewise_relu 1 1 resx2_elewise resx2_elewise_resx2_elewise_relu -23330=4,3,28,28,240
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Split splitncnn_2 1 2 resx2_elewise_resx2_elewise_relu resx2_elewise_resx2_elewise_relu_splitncnn_0 resx2_elewise_resx2_elewise_relu_splitncnn_1 -23330=8,3,28,28,240,3,28,28,240
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ConvolutionDepthWise resx3_conv1 1 1 resx2_elewise_resx2_elewise_relu_splitncnn_1 resx3_conv1_resx3_conv1_relu -23330=4,3,28,28,60 0=60 1=1 5=1 6=4800 7=3 9=1
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ShuffleChannel shuffle3 1 1 resx3_conv1_resx3_conv1_relu shuffle3 -23330=4,3,28,28,60 0=3
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ConvolutionDepthWise resx3_conv2 1 1 shuffle3 resx3_conv2_resx3_conv2_scale -23330=4,3,28,28,60 0=60 1=3 4=1 5=1 6=540 7=60
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ConvolutionDepthWise resx3_conv3 1 1 resx3_conv2_resx3_conv2_scale resx3_conv3_resx3_conv3_scale -23330=4,3,28,28,240 0=240 1=1 5=1 6=4800 7=3
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Eltwise resx3_elewise 2 1 resx2_elewise_resx2_elewise_relu_splitncnn_0 resx3_conv3_resx3_conv3_scale resx3_elewise -23330=4,3,28,28,240 0=1
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ReLU resx3_elewise_relu 1 1 resx3_elewise resx3_elewise_resx3_elewise_relu -23330=4,3,28,28,240
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Split splitncnn_3 1 2 resx3_elewise_resx3_elewise_relu resx3_elewise_resx3_elewise_relu_splitncnn_0 resx3_elewise_resx3_elewise_relu_splitncnn_1 -23330=8,3,28,28,240,3,28,28,240
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ConvolutionDepthWise resx4_conv1 1 1 resx3_elewise_resx3_elewise_relu_splitncnn_1 resx4_conv1_resx4_conv1_relu -23330=4,3,28,28,60 0=60 1=1 5=1 6=4800 7=3 9=1
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ShuffleChannel shuffle4 1 1 resx4_conv1_resx4_conv1_relu shuffle4 -23330=4,3,28,28,60 0=3
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ConvolutionDepthWise resx4_conv2 1 1 shuffle4 resx4_conv2_resx4_conv2_scale -23330=4,3,28,28,60 0=60 1=3 4=1 5=1 6=540 7=60
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ConvolutionDepthWise resx4_conv3 1 1 resx4_conv2_resx4_conv2_scale resx4_conv3_resx4_conv3_scale -23330=4,3,28,28,240 0=240 1=1 5=1 6=4800 7=3
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Eltwise resx4_elewise 2 1 resx3_elewise_resx3_elewise_relu_splitncnn_0 resx4_conv3_resx4_conv3_scale resx4_elewise -23330=4,3,28,28,240 0=1
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ReLU resx4_elewise_relu 1 1 resx4_elewise resx4_elewise_resx4_elewise_relu -23330=4,3,28,28,240
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Split splitncnn_4 1 2 resx4_elewise_resx4_elewise_relu resx4_elewise_resx4_elewise_relu_splitncnn_0 resx4_elewise_resx4_elewise_relu_splitncnn_1 -23330=8,3,28,28,240,3,28,28,240
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Pooling resx5_match_conv 1 1 resx4_elewise_resx4_elewise_relu_splitncnn_1 resx5_match_conv -23330=4,3,14,14,240 0=1 1=3 2=2
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ConvolutionDepthWise resx5_conv1 1 1 resx4_elewise_resx4_elewise_relu_splitncnn_0 resx5_conv1_resx5_conv1_relu -23330=4,3,28,28,60 0=60 1=1 5=1 6=4800 7=3 9=1
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ShuffleChannel shuffle5 1 1 resx5_conv1_resx5_conv1_relu shuffle5 -23330=4,3,28,28,60 0=3
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ConvolutionDepthWise resx5_conv2 1 1 shuffle5 resx5_conv2_resx5_conv2_scale -23330=4,3,14,14,60 0=60 1=3 3=2 4=1 5=1 6=540 7=60
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ConvolutionDepthWise resx5_conv3 1 1 resx5_conv2_resx5_conv2_scale resx5_conv3_resx5_conv3_scale -23330=4,3,14,14,240 0=240 1=1 5=1 6=4800 7=3
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Concat resx5_concat 2 1 resx5_match_conv resx5_conv3_resx5_conv3_scale resx5_concat -23330=4,3,14,14,480
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ReLU resx5_concat_relu 1 1 resx5_concat resx5_concat_resx5_concat_relu -23330=4,3,14,14,480
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Split splitncnn_5 1 2 resx5_concat_resx5_concat_relu resx5_concat_resx5_concat_relu_splitncnn_0 resx5_concat_resx5_concat_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx6_conv1 1 1 resx5_concat_resx5_concat_relu_splitncnn_1 resx6_conv1_resx6_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle6 1 1 resx6_conv1_resx6_conv1_relu shuffle6 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx6_conv2 1 1 shuffle6 resx6_conv2_resx6_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx6_conv3 1 1 resx6_conv2_resx6_conv2_scale resx6_conv3_resx6_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx6_elewise 2 1 resx5_concat_resx5_concat_relu_splitncnn_0 resx6_conv3_resx6_conv3_scale resx6_elewise -23330=4,3,14,14,480 0=1
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ReLU resx6_elewise_relu 1 1 resx6_elewise resx6_elewise_resx6_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_6 1 2 resx6_elewise_resx6_elewise_relu resx6_elewise_resx6_elewise_relu_splitncnn_0 resx6_elewise_resx6_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx7_conv1 1 1 resx6_elewise_resx6_elewise_relu_splitncnn_1 resx7_conv1_resx7_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle7 1 1 resx7_conv1_resx7_conv1_relu shuffle7 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx7_conv2 1 1 shuffle7 resx7_conv2_resx7_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx7_conv3 1 1 resx7_conv2_resx7_conv2_scale resx7_conv3_resx7_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx7_elewise 2 1 resx6_elewise_resx6_elewise_relu_splitncnn_0 resx7_conv3_resx7_conv3_scale resx7_elewise -23330=4,3,14,14,480 0=1
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ReLU resx7_elewise_relu 1 1 resx7_elewise resx7_elewise_resx7_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_7 1 2 resx7_elewise_resx7_elewise_relu resx7_elewise_resx7_elewise_relu_splitncnn_0 resx7_elewise_resx7_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx8_conv1 1 1 resx7_elewise_resx7_elewise_relu_splitncnn_1 resx8_conv1_resx8_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle8 1 1 resx8_conv1_resx8_conv1_relu shuffle8 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx8_conv2 1 1 shuffle8 resx8_conv2_resx8_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx8_conv3 1 1 resx8_conv2_resx8_conv2_scale resx8_conv3_resx8_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx8_elewise 2 1 resx7_elewise_resx7_elewise_relu_splitncnn_0 resx8_conv3_resx8_conv3_scale resx8_elewise -23330=4,3,14,14,480 0=1
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ReLU resx8_elewise_relu 1 1 resx8_elewise resx8_elewise_resx8_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_8 1 2 resx8_elewise_resx8_elewise_relu resx8_elewise_resx8_elewise_relu_splitncnn_0 resx8_elewise_resx8_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx9_conv1 1 1 resx8_elewise_resx8_elewise_relu_splitncnn_1 resx9_conv1_resx9_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle9 1 1 resx9_conv1_resx9_conv1_relu shuffle9 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx9_conv2 1 1 shuffle9 resx9_conv2_resx9_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx9_conv3 1 1 resx9_conv2_resx9_conv2_scale resx9_conv3_resx9_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx9_elewise 2 1 resx8_elewise_resx8_elewise_relu_splitncnn_0 resx9_conv3_resx9_conv3_scale resx9_elewise -23330=4,3,14,14,480 0=1
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ReLU resx9_elewise_relu 1 1 resx9_elewise resx9_elewise_resx9_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_9 1 2 resx9_elewise_resx9_elewise_relu resx9_elewise_resx9_elewise_relu_splitncnn_0 resx9_elewise_resx9_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx10_conv1 1 1 resx9_elewise_resx9_elewise_relu_splitncnn_1 resx10_conv1_resx10_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle10 1 1 resx10_conv1_resx10_conv1_relu shuffle10 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx10_conv2 1 1 shuffle10 resx10_conv2_resx10_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx10_conv3 1 1 resx10_conv2_resx10_conv2_scale resx10_conv3_resx10_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx10_elewise 2 1 resx9_elewise_resx9_elewise_relu_splitncnn_0 resx10_conv3_resx10_conv3_scale resx10_elewise -23330=4,3,14,14,480 0=1
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ReLU resx10_elewise_relu 1 1 resx10_elewise resx10_elewise_resx10_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_10 1 2 resx10_elewise_resx10_elewise_relu resx10_elewise_resx10_elewise_relu_splitncnn_0 resx10_elewise_resx10_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx11_conv1 1 1 resx10_elewise_resx10_elewise_relu_splitncnn_1 resx11_conv1_resx11_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle11 1 1 resx11_conv1_resx11_conv1_relu shuffle11 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx11_conv2 1 1 shuffle11 resx11_conv2_resx11_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx11_conv3 1 1 resx11_conv2_resx11_conv2_scale resx11_conv3_resx11_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx11_elewise 2 1 resx10_elewise_resx10_elewise_relu_splitncnn_0 resx11_conv3_resx11_conv3_scale resx11_elewise -23330=4,3,14,14,480 0=1
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ReLU resx11_elewise_relu 1 1 resx11_elewise resx11_elewise_resx11_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_11 1 2 resx11_elewise_resx11_elewise_relu resx11_elewise_resx11_elewise_relu_splitncnn_0 resx11_elewise_resx11_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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ConvolutionDepthWise resx12_conv1 1 1 resx11_elewise_resx11_elewise_relu_splitncnn_1 resx12_conv1_resx12_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle12 1 1 resx12_conv1_resx12_conv1_relu shuffle12 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx12_conv2 1 1 shuffle12 resx12_conv2_resx12_conv2_scale -23330=4,3,14,14,120 0=120 1=3 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx12_conv3 1 1 resx12_conv2_resx12_conv2_scale resx12_conv3_resx12_conv3_scale -23330=4,3,14,14,480 0=480 1=1 5=1 6=19200 7=3
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Eltwise resx12_elewise 2 1 resx11_elewise_resx11_elewise_relu_splitncnn_0 resx12_conv3_resx12_conv3_scale resx12_elewise -23330=4,3,14,14,480 0=1
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ReLU resx12_elewise_relu 1 1 resx12_elewise resx12_elewise_resx12_elewise_relu -23330=4,3,14,14,480
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Split splitncnn_12 1 2 resx12_elewise_resx12_elewise_relu resx12_elewise_resx12_elewise_relu_splitncnn_0 resx12_elewise_resx12_elewise_relu_splitncnn_1 -23330=8,3,14,14,480,3,14,14,480
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Pooling resx13_match_conv 1 1 resx12_elewise_resx12_elewise_relu_splitncnn_1 resx13_match_conv -23330=4,3,7,7,480 0=1 1=3 2=2
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ConvolutionDepthWise resx13_conv1 1 1 resx12_elewise_resx12_elewise_relu_splitncnn_0 resx13_conv1_resx13_conv1_relu -23330=4,3,14,14,120 0=120 1=1 5=1 6=19200 7=3 9=1
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ShuffleChannel shuffle13 1 1 resx13_conv1_resx13_conv1_relu shuffle13 -23330=4,3,14,14,120 0=3
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ConvolutionDepthWise resx13_conv2 1 1 shuffle13 resx13_conv2_resx13_conv2_scale -23330=4,3,7,7,120 0=120 1=3 3=2 4=1 5=1 6=1080 7=120
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ConvolutionDepthWise resx13_conv3 1 1 resx13_conv2_resx13_conv2_scale resx13_conv3_resx13_conv3_scale -23330=4,3,7,7,480 0=480 1=1 5=1 6=19200 7=3
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Concat resx13_concat 2 1 resx13_match_conv resx13_conv3_resx13_conv3_scale resx13_concat -23330=4,3,7,7,960
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ReLU resx13_concat_relu 1 1 resx13_concat resx13_concat_resx13_concat_relu -23330=4,3,7,7,960
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Split splitncnn_13 1 2 resx13_concat_resx13_concat_relu resx13_concat_resx13_concat_relu_splitncnn_0 resx13_concat_resx13_concat_relu_splitncnn_1 -23330=8,3,7,7,960,3,7,7,960
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ConvolutionDepthWise resx14_conv1 1 1 resx13_concat_resx13_concat_relu_splitncnn_1 resx14_conv1_resx14_conv1_relu -23330=4,3,7,7,240 0=240 1=1 5=1 6=76800 7=3 9=1
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ShuffleChannel shuffle14 1 1 resx14_conv1_resx14_conv1_relu shuffle14 -23330=4,3,7,7,240 0=3
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ConvolutionDepthWise resx14_conv2 1 1 shuffle14 resx14_conv2_resx14_conv2_scale -23330=4,3,7,7,240 0=240 1=3 4=1 5=1 6=2160 7=240
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ConvolutionDepthWise resx14_conv3 1 1 resx14_conv2_resx14_conv2_scale resx14_conv3_resx14_conv3_scale -23330=4,3,7,7,960 0=960 1=1 5=1 6=76800 7=3
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Eltwise resx14_elewise 2 1 resx13_concat_resx13_concat_relu_splitncnn_0 resx14_conv3_resx14_conv3_scale resx14_elewise -23330=4,3,7,7,960 0=1
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ReLU resx14_elewise_relu 1 1 resx14_elewise resx14_elewise_resx14_elewise_relu -23330=4,3,7,7,960
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Split splitncnn_14 1 2 resx14_elewise_resx14_elewise_relu resx14_elewise_resx14_elewise_relu_splitncnn_0 resx14_elewise_resx14_elewise_relu_splitncnn_1 -23330=8,3,7,7,960,3,7,7,960
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ConvolutionDepthWise resx15_conv1 1 1 resx14_elewise_resx14_elewise_relu_splitncnn_1 resx15_conv1_resx15_conv1_relu -23330=4,3,7,7,240 0=240 1=1 5=1 6=76800 7=3 9=1
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ShuffleChannel shuffle15 1 1 resx15_conv1_resx15_conv1_relu shuffle15 -23330=4,3,7,7,240 0=3
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ConvolutionDepthWise resx15_conv2 1 1 shuffle15 resx15_conv2_resx15_conv2_scale -23330=4,3,7,7,240 0=240 1=3 4=1 5=1 6=2160 7=240
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ConvolutionDepthWise resx15_conv3 1 1 resx15_conv2_resx15_conv2_scale resx15_conv3_resx15_conv3_scale -23330=4,3,7,7,960 0=960 1=1 5=1 6=76800 7=3
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Eltwise resx15_elewise 2 1 resx14_elewise_resx14_elewise_relu_splitncnn_0 resx15_conv3_resx15_conv3_scale resx15_elewise -23330=4,3,7,7,960 0=1
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ReLU resx15_elewise_relu 1 1 resx15_elewise resx15_elewise_resx15_elewise_relu -23330=4,3,7,7,960
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Split splitncnn_15 1 2 resx15_elewise_resx15_elewise_relu resx15_elewise_resx15_elewise_relu_splitncnn_0 resx15_elewise_resx15_elewise_relu_splitncnn_1 -23330=8,3,7,7,960,3,7,7,960
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ConvolutionDepthWise resx16_conv1 1 1 resx15_elewise_resx15_elewise_relu_splitncnn_1 resx16_conv1_resx16_conv1_relu -23330=4,3,7,7,240 0=240 1=1 5=1 6=76800 7=3 9=1
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ShuffleChannel shuffle16 1 1 resx16_conv1_resx16_conv1_relu shuffle16 -23330=4,3,7,7,240 0=3
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ConvolutionDepthWise resx16_conv2 1 1 shuffle16 resx16_conv2_resx16_conv2_scale -23330=4,3,7,7,240 0=240 1=3 4=1 5=1 6=2160 7=240
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ConvolutionDepthWise resx16_conv3 1 1 resx16_conv2_resx16_conv2_scale resx16_conv3_resx16_conv3_scale -23330=4,3,7,7,960 0=960 1=1 5=1 6=76800 7=3
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Eltwise resx16_elewise 2 1 resx15_elewise_resx15_elewise_relu_splitncnn_0 resx16_conv3_resx16_conv3_scale resx16_elewise -23330=4,3,7,7,960 0=1
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ReLU resx16_elewise_relu 1 1 resx16_elewise resx16_elewise_resx16_elewise_relu -23330=4,3,7,7,960
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Pooling pool_ave 1 1 resx16_elewise_resx16_elewise_relu pool_ave -23330=4,1,960,1,1 0=1 4=1
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InnerProduct fc1000 1 1 pool_ave fc1000 -23330=4,1,1000,1,1 0=1000 1=1 2=960000
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Softmax prob 1 1 fc1000 output -23330=4,1,1000,1,1
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