Handwritten / ncnn /model.ncnn.param
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Add PyTorch checkpoint and NCNN INT8 model
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Input in0 0 1 in0
Convolution convclip_0 1 1 in0 1 0=32 1=3 3=2 4=1 5=1 6=288 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_0 1 1 1 2 0=32 1=3 4=1 5=1 6=288 7=32 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_2 1 1 2 3 0=16 1=1 5=1 6=512 8=102
Convolution convclip_1 1 1 3 4 0=96 1=1 5=1 6=1536 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_1 1 1 4 5 0=96 1=3 3=2 4=1 5=1 6=864 7=96 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_4 1 1 5 6 0=24 1=1 5=1 6=2304 8=2
Split splitncnn_0 1 2 6 7 8
Convolution convclip_2 1 1 8 9 0=144 1=1 5=1 6=3456 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_2 1 1 9 10 0=144 1=3 4=1 5=1 6=1296 7=144 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_6 1 1 10 11 0=24 1=1 5=1 6=3456 8=2
BinaryOp add_0 2 1 7 11 12
Convolution convclip_3 1 1 12 13 0=144 1=1 5=1 6=3456 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_3 1 1 13 14 0=144 1=3 3=2 4=1 5=1 6=1296 7=144 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_8 1 1 14 15 0=32 1=1 5=1 6=4608 8=2
Split splitncnn_1 1 2 15 16 17
Convolution convclip_4 1 1 17 18 0=192 1=1 5=1 6=6144 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_4 1 1 18 19 0=192 1=3 4=1 5=1 6=1728 7=192 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_10 1 1 19 20 0=32 1=1 5=1 6=6144 8=2
BinaryOp add_1 2 1 16 20 21
Split splitncnn_2 1 2 21 22 23
Convolution convclip_5 1 1 23 24 0=192 1=1 5=1 6=6144 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_5 1 1 24 25 0=192 1=3 4=1 5=1 6=1728 7=192 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_12 1 1 25 26 0=32 1=1 5=1 6=6144 8=2
BinaryOp add_2 2 1 22 26 27
Convolution convclip_6 1 1 27 28 0=192 1=1 5=1 6=6144 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_6 1 1 28 29 0=192 1=3 3=2 4=1 5=1 6=1728 7=192 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_14 1 1 29 30 0=64 1=1 5=1 6=12288 8=2
Split splitncnn_3 1 2 30 31 32
Convolution convclip_7 1 1 32 33 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_7 1 1 33 34 0=384 1=3 4=1 5=1 6=3456 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_16 1 1 34 35 0=64 1=1 5=1 6=24576 8=2
BinaryOp add_3 2 1 31 35 36
Split splitncnn_4 1 2 36 37 38
Convolution convclip_8 1 1 38 39 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_8 1 1 39 40 0=384 1=3 4=1 5=1 6=3456 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_18 1 1 40 41 0=64 1=1 5=1 6=24576 8=2
BinaryOp add_4 2 1 37 41 42
Split splitncnn_5 1 2 42 43 44
Convolution convclip_9 1 1 44 45 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_9 1 1 45 46 0=384 1=3 4=1 5=1 6=3456 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_20 1 1 46 47 0=64 1=1 5=1 6=24576 8=2
BinaryOp add_5 2 1 43 47 48
Convolution convclip_10 1 1 48 49 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_10 1 1 49 50 0=384 1=3 4=1 5=1 6=3456 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_22 1 1 50 51 0=96 1=1 5=1 6=36864 8=2
Split splitncnn_6 1 2 51 52 53
Convolution convclip_11 1 1 53 54 0=576 1=1 5=1 6=55296 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_11 1 1 54 55 0=576 1=3 4=1 5=1 6=5184 7=576 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_24 1 1 55 56 0=96 1=1 5=1 6=55296 8=2
BinaryOp add_6 2 1 52 56 57
Split splitncnn_7 1 2 57 58 59
Convolution convclip_12 1 1 59 60 0=576 1=1 5=1 6=55296 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_12 1 1 60 61 0=576 1=3 4=1 5=1 6=5184 7=576 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_26 1 1 61 62 0=96 1=1 5=1 6=55296 8=2
BinaryOp add_7 2 1 58 62 63
Convolution convclip_13 1 1 63 64 0=576 1=1 5=1 6=55296 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_13 1 1 64 65 0=576 1=3 3=2 4=1 5=1 6=5184 7=576 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_28 1 1 65 66 0=160 1=1 5=1 6=92160 8=2
Split splitncnn_8 1 2 66 67 68
Convolution convclip_14 1 1 68 69 0=960 1=1 5=1 6=153600 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_14 1 1 69 70 0=960 1=3 4=1 5=1 6=8640 7=960 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_30 1 1 70 71 0=160 1=1 5=1 6=153600 8=2
BinaryOp add_8 2 1 67 71 72
Split splitncnn_9 1 2 72 73 74
Convolution convclip_15 1 1 74 75 0=960 1=1 5=1 6=153600 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_15 1 1 75 76 0=960 1=3 4=1 5=1 6=8640 7=960 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_32 1 1 76 77 0=160 1=1 5=1 6=153600 8=2
BinaryOp add_9 2 1 73 77 78
Convolution convclip_16 1 1 78 79 0=960 1=1 5=1 6=153600 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_16 1 1 79 80 0=960 1=3 4=1 5=1 6=8640 7=960 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_34 1 1 80 81 0=320 1=1 5=1 6=307200 8=102
Convolution convclip_17 1 1 81 82 0=576 1=1 5=1 6=184320 8=2 9=3 -23310=2,0.000000e+00,6.000000e+00
Pooling gap_0 1 1 82 83 0=1 4=1
Reshape reshape_72 1 1 83 84 0=1 1=1 2=-1
Flatten flatten_73 1 1 84 85
InnerProduct linear_36 1 1 85 out0 0=3755 1=1 2=2162880 8=2