dump model structure #304
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dump model structure #304
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+-----+------------------+--------------+--------------+--------+---------+
| No. | TYPE | INPUT | OUTPUT | PARAMs | FLOPs |
+-----+------------------+--------------+--------------+--------+---------+
| 0 | conv2d | (3, 32, 100) | (8, 16, 50) | 216 | 345600 |
| 1 | batch_norm | (8, 16, 50) | (8, 16, 50) | 16 | 12800 |
| 2 | conv2d | (8, 16, 50) | (8, 16, 50) | 64 | 102400 |
| 3 | batch_norm | (8, 16, 50) | (8, 16, 50) | 16 | 12800 |
| 4 | relu | (8, 16, 50) | (8, 16, 50) | 0 | -6400 |
| 5 | depthwise_conv2d | (8, 16, 50) | (8, 16, 50) | 9 | 14400 |
| 6 | batch_norm | (8, 16, 50) | (8, 16, 50) | 16 | 12800 |
| 7 | relu | (8, 16, 50) | (8, 16, 50) | 0 | -6400 |
| 8 | conv2d | (8, 16, 50) | (8, 16, 50) | 64 | 102400 |
| 9 | batch_norm | (8, 16, 50) | (8, 16, 50) | 16 | 12800 |
| 10 | conv2d | (8, 16, 50) | (32, 16, 50) | 256 | 409600 |
| 11 | batch_norm | (32, 16, 50) | (32, 16, 50) | 64 | 51200 |
| 12 | relu | (32, 16, 50) | (32, 16, 50) | 0 | -25600 |
| 13 | depthwise_conv2d | (32, 16, 50) | (32, 8, 50) | 9 | 7200 |
| 14 | batch_norm | (32, 8, 50) | (32, 8, 50) | 64 | 25600 |
| 15 | relu | (32, 8, 50) | (32, 8, 50) | 0 | -12800 |
| 16 | conv2d | (32, 8, 50) | (16, 8, 50) | 512 | 409600 |
| 17 | batch_norm | (16, 8, 50) | (16, 8, 50) | 32 | 12800 |
| 18 | conv2d | (16, 8, 50) | (40, 8, 50) | 640 | 512000 |
| 19 | batch_norm | (40, 8, 50) | (40, 8, 50) | 80 | 32000 |
| 20 | relu | (40, 8, 50) | (40, 8, 50) | 0 | -16000 |
| 21 | depthwise_conv2d | (40, 8, 50) | (40, 8, 50) | 9 | 7200 |
| 22 | batch_norm | (40, 8, 50) | (40, 8, 50) | 80 | 32000 |
| 23 | relu | (40, 8, 50) | (40, 8, 50) | 0 | -16000 |
| 24 | conv2d | (40, 8, 50) | (16, 8, 50) | 640 | 512000 |
| 25 | batch_norm | (16, 8, 50) | (16, 8, 50) | 32 | 12800 |
| 26 | conv2d | (16, 8, 50) | (40, 8, 50) | 640 | 512000 |
| 27 | batch_norm | (40, 8, 50) | (40, 8, 50) | 80 | 32000 |
| 28 | relu | (40, 8, 50) | (40, 8, 50) | 0 | -16000 |
| 29 | depthwise_conv2d | (40, 8, 50) | (40, 4, 50) | 25 | 10000 |
| 30 | batch_norm | (40, 4, 50) | (40, 4, 50) | 80 | 16000 |
| 31 | relu | (40, 4, 50) | (40, 4, 50) | 0 | -8000 |
| 32 | pool2d | (40, 4, 50) | (40, 1, 1) | 0 | 40 |
| 33 | conv2d | (40, 1, 1) | (10, 1, 1) | 400 | 800 |
| 34 | relu | (10, 1, 1) | (10, 1, 1) | 0 | -10 |
| 35 | conv2d | (10, 1, 1) | (40, 1, 1) | 400 | 800 |
| 36 | conv2d | (40, 4, 50) | (24, 4, 50) | 960 | 384000 |
| 37 | batch_norm | (24, 4, 50) | (24, 4, 50) | 48 | 9600 |
| 38 | conv2d | (24, 4, 50) | (64, 4, 50) | 1536 | 614400 |
| 39 | batch_norm | (64, 4, 50) | (64, 4, 50) | 128 | 25600 |
| 40 | relu | (64, 4, 50) | (64, 4, 50) | 0 | -12800 |
| 41 | depthwise_conv2d | (64, 4, 50) | (64, 4, 50) | 25 | 10000 |
| 42 | batch_norm | (64, 4, 50) | (64, 4, 50) | 128 | 25600 |
| 43 | relu | (64, 4, 50) | (64, 4, 50) | 0 | -12800 |
| 44 | pool2d | (64, 4, 50) | (64, 1, 1) | 0 | 64 |
| 45 | conv2d | (64, 1, 1) | (16, 1, 1) | 1024 | 2048 |
| 46 | relu | (16, 1, 1) | (16, 1, 1) | 0 | -16 |
| 47 | conv2d | (16, 1, 1) | (64, 1, 1) | 1024 | 2048 |
| 48 | conv2d | (64, 4, 50) | (24, 4, 50) | 1536 | 614400 |
| 49 | batch_norm | (24, 4, 50) | (24, 4, 50) | 48 | 9600 |
| 50 | conv2d | (24, 4, 50) | (64, 4, 50) | 1536 | 614400 |
| 51 | batch_norm | (64, 4, 50) | (64, 4, 50) | 128 | 25600 |
| 52 | relu | (64, 4, 50) | (64, 4, 50) | 0 | -12800 |
| 53 | depthwise_conv2d | (64, 4, 50) | (64, 4, 50) | 25 | 10000 |
| 54 | batch_norm | (64, 4, 50) | (64, 4, 50) | 128 | 25600 |
| 55 | relu | (64, 4, 50) | (64, 4, 50) | 0 | -12800 |
| 56 | pool2d | (64, 4, 50) | (64, 1, 1) | 0 | 64 |
| 57 | conv2d | (64, 1, 1) | (16, 1, 1) | 1024 | 2048 |
| 58 | relu | (16, 1, 1) | (16, 1, 1) | 0 | -16 |
| 59 | conv2d | (16, 1, 1) | (64, 1, 1) | 1024 | 2048 |
| 60 | conv2d | (64, 4, 50) | (24, 4, 50) | 1536 | 614400 |
| 61 | batch_norm | (24, 4, 50) | (24, 4, 50) | 48 | 9600 |
| 62 | conv2d | (24, 4, 50) | (120, 4, 50) | 2880 | 1152000 |
| 63 | batch_norm | (120, 4, 50) | (120, 4, 50) | 240 | 48000 |
| 64 | depthwise_conv2d | (120, 4, 50) | (120, 4, 50) | 9 | 3600 |
| 65 | batch_norm | (120, 4, 50) | (120, 4, 50) | 240 | 48000 |
| 66 | conv2d | (120, 4, 50) | (40, 4, 50) | 4800 | 1920000 |
| 67 | batch_norm | (40, 4, 50) | (40, 4, 50) | 80 | 16000 |
| 68 | conv2d | (40, 4, 50) | (104, 4, 50) | 4160 | 1664000 |
| 69 | batch_norm | (104, 4, 50) | (104, 4, 50) | 208 | 41600 |
| 70 | depthwise_conv2d | (104, 4, 50) | (104, 4, 50) | 9 | 3600 |
| 71 | batch_norm | (104, 4, 50) | (104, 4, 50) | 208 | 41600 |
| 72 | conv2d | (104, 4, 50) | (40, 4, 50) | 4160 | 1664000 |
| 73 | batch_norm | (40, 4, 50) | (40, 4, 50) | 80 | 16000 |
| 74 | conv2d | (40, 4, 50) | (96, 4, 50) | 3840 | 1536000 |
| 75 | batch_norm | (96, 4, 50) | (96, 4, 50) | 192 | 38400 |
| 76 | depthwise_conv2d | (96, 4, 50) | (96, 4, 50) | 9 | 3600 |
| 77 | batch_norm | (96, 4, 50) | (96, 4, 50) | 192 | 38400 |
| 78 | conv2d | (96, 4, 50) | (40, 4, 50) | 3840 | 1536000 |
| 79 | batch_norm | (40, 4, 50) | (40, 4, 50) | 80 | 16000 |
| 80 | conv2d | (40, 4, 50) | (96, 4, 50) | 3840 | 1536000 |
| 81 | batch_norm | (96, 4, 50) | (96, 4, 50) | 192 | 38400 |
| 82 | depthwise_conv2d | (96, 4, 50) | (96, 4, 50) | 9 | 3600 |
| 83 | batch_norm | (96, 4, 50) | (96, 4, 50) | 192 | 38400 |
| 84 | conv2d | (96, 4, 50) | (40, 4, 50) | 3840 | 1536000 |
| 85 | batch_norm | (40, 4, 50) | (40, 4, 50) | 80 | 16000 |
| 86 | conv2d | (40, 4, 50) | (240, 4, 50) | 9600 | 3840000 |
| 87 | batch_norm | (240, 4, 50) | (240, 4, 50) | 480 | 96000 |
| 88 | depthwise_conv2d | (240, 4, 50) | (240, 4, 50) | 9 | 3600 |
| 89 | batch_norm | (240, 4, 50) | (240, 4, 50) | 480 | 96000 |
| 90 | pool2d | (240, 4, 50) | (240, 1, 1) | 0 | 240 |
| 91 | conv2d | (240, 1, 1) | (60, 1, 1) | 14400 | 28800 |
| 92 | relu | (60, 1, 1) | (60, 1, 1) | 0 | -60 |
| 93 | conv2d | (60, 1, 1) | (240, 1, 1) | 14400 | 28800 |
| 94 | conv2d | (240, 4, 50) | (56, 4, 50) | 13440 | 5376000 |
| 95 | batch_norm | (56, 4, 50) | (56, 4, 50) | 112 | 22400 |
| 96 | conv2d | (56, 4, 50) | (336, 4, 50) | 18816 | 7526400 |
| 97 | batch_norm | (336, 4, 50) | (336, 4, 50) | 672 | 134400 |
| 98 | depthwise_conv2d | (336, 4, 50) | (336, 4, 50) | 9 | 3600 |
| 99 | batch_norm | (336, 4, 50) | (336, 4, 50) | 672 | 134400 |
| 100 | pool2d | (336, 4, 50) | (336, 1, 1) | 0 | 336 |
| 101 | conv2d | (336, 1, 1) | (84, 1, 1) | 28224 | 56448 |
| 102 | relu | (84, 1, 1) | (84, 1, 1) | 0 | -84 |
| 103 | conv2d | (84, 1, 1) | (336, 1, 1) | 28224 | 56448 |
| 104 | conv2d | (336, 4, 50) | (56, 4, 50) | 18816 | 7526400 |
| 105 | batch_norm | (56, 4, 50) | (56, 4, 50) | 112 | 22400 |
| 106 | conv2d | (56, 4, 50) | (336, 4, 50) | 18816 | 7526400 |
| 107 | batch_norm | (336, 4, 50) | (336, 4, 50) | 672 | 134400 |
| 108 | depthwise_conv2d | (336, 4, 50) | (336, 2, 50) | 25 | 5000 |
| 109 | batch_norm | (336, 2, 50) | (336, 2, 50) | 672 | 67200 |
| 110 | pool2d | (336, 2, 50) | (336, 1, 1) | 0 | 336 |
| 111 | conv2d | (336, 1, 1) | (84, 1, 1) | 28224 | 56448 |
| 112 | relu | (84, 1, 1) | (84, 1, 1) | 0 | -84 |
| 113 | conv2d | (84, 1, 1) | (336, 1, 1) | 28224 | 56448 |
| 114 | conv2d | (336, 2, 50) | (80, 2, 50) | 26880 | 5376000 |
| 115 | batch_norm | (80, 2, 50) | (80, 2, 50) | 160 | 16000 |
| 116 | conv2d | (80, 2, 50) | (480, 2, 50) | 38400 | 7680000 |
| 117 | batch_norm | (480, 2, 50) | (480, 2, 50) | 960 | 96000 |
| 118 | depthwise_conv2d | (480, 2, 50) | (480, 2, 50) | 25 | 5000 |
| 119 | batch_norm | (480, 2, 50) | (480, 2, 50) | 960 | 96000 |
| 120 | pool2d | (480, 2, 50) | (480, 1, 1) | 0 | 480 |
| 121 | conv2d | (480, 1, 1) | (120, 1, 1) | 57600 | 115200 |
| 122 | relu | (120, 1, 1) | (120, 1, 1) | 0 | -120 |
| 123 | conv2d | (120, 1, 1) | (480, 1, 1) | 57600 | 115200 |
| 124 | conv2d | (480, 2, 50) | (80, 2, 50) | 38400 | 7680000 |
| 125 | batch_norm | (80, 2, 50) | (80, 2, 50) | 160 | 16000 |
| 126 | conv2d | (80, 2, 50) | (480, 2, 50) | 38400 | 7680000 |
| 127 | batch_norm | (480, 2, 50) | (480, 2, 50) | 960 | 96000 |
| 128 | depthwise_conv2d | (480, 2, 50) | (480, 2, 50) | 25 | 5000 |
| 129 | batch_norm | (480, 2, 50) | (480, 2, 50) | 960 | 96000 |
| 130 | pool2d | (480, 2, 50) | (480, 1, 1) | 0 | 480 |
| 131 | conv2d | (480, 1, 1) | (120, 1, 1) | 57600 | 115200 |
| 132 | relu | (120, 1, 1) | (120, 1, 1) | 0 | -120 |
| 133 | conv2d | (120, 1, 1) | (480, 1, 1) | 57600 | 115200 |
| 134 | conv2d | (480, 2, 50) | (80, 2, 50) | 38400 | 7680000 |
| 135 | batch_norm | (80, 2, 50) | (80, 2, 50) | 160 | 16000 |
| 136 | conv2d | (80, 2, 50) | (480, 2, 50) | 38400 | 7680000 |
| 137 | batch_norm | (480, 2, 50) | (480, 2, 50) | 960 | 96000 |
| 138 | pool2d | (480, 2, 50) | (480, 1, 25) | 0 | 48000 |
| 139 | mul | (480,) | (384,) | 184321 | 184320 |
| 140 | mul | (96,) | (384,) | 36865 | 36864 |
| 141 | mul | (480,) | (384,) | 184321 | 184320 |
| 142 | mul | (96,) | (384,) | 36865 | 36864 |
| 143 | mul | (192,) | (37,) | 7105 | 7104 |
+-----+------------------+--------------+--------------+--------+---------+
Total PARAMs: 1178932(1.1789M)
Total FLOPs: 97081186(0.10G)