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yolov7-mask-ncnn's Issues

yolov7 推理维度消失

大佬有个问题我自己训练的yolov7 人体检测模型 在用ncnn推理时 输出层的维度 h,w,c都为0是啥情况.
可以分享下您这里的onnx模型吗 看下结构

可以出个教程吗?

1、模型转换,怎么pt转ncnn模型
2、后处理,各层都是什么意思,怎么解析的

denormals_zero 998277249 not supported

denormals_zero 998277249 not supported

I had
#link_directories(${CMAKE_CURRENT_SOURCE_DIR}/lib)
add:
include_directories(~~/CLionProjects/ncnn/build/include)
link_directories(~/CLionProjects/ncnn/build/src)
in CMakeLists.txt & build complited

But:

Convolution Conv_0 18.39ms | [640, 448, 3 *1] -> [640, 448, 4 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_2 5.30ms | [640, 448, 4 *8] -> [640, 448, 4 *8]
Convolution Conv_3 42.14ms | [640, 448, 4 *8] -> [320, 224, 8 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_5 1.51ms | [320, 224, 8 *8] -> [320, 224, 8 *8]
Convolution Conv_6 21.13ms | [320, 224, 8 *8] -> [320, 224, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_8 2.12ms | [320, 224, 8 *8] -> [320, 224, 8 *8]
Convolution Conv_9 23.97ms | [320, 224, 8 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_11 5.94ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Split splitncnn_0 0.01ms |
Convolution Conv_15 2.83ms | [160, 112, 16 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_17 0.39ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Split splitncnn_1 0.00ms |
Convolution Conv_18 4.14ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_20 0.40ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_21 26.67ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_23 5.35ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Split splitncnn_2 0.00ms |
Convolution Conv_24 4.72ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_26 0.45ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_27 4.63ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_29 0.98ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_12 2.20ms | [160, 112, 16 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_14 0.35ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Concat Concat_30 1.30ms |
Convolution Conv_31 11.11ms | [160, 112, 32 *8] -> [160, 112, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_33 1.57ms | [160, 112, 32 *8] -> [160, 112, 32 *8]
Split splitncnn_3 0.00ms |
Convolution Conv_38 5.98ms | [160, 112, 32 *8] -> [160, 112, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_40 4.50ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_41 10.63ms | [160, 112, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_43 0.17ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Pooling MaxPool_34 0.97ms | [160, 112, 32 *8] -> [ 80, 56, 32 *8]
Convolution Conv_35 1.28ms | [ 80, 56, 32 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_37 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Concat Concat_44 0.27ms |
Split splitncnn_4 0.00ms |
Convolution Conv_48 1.48ms | [ 80, 56, 32 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_50 3.60ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Split splitncnn_5 0.00ms |
Convolution Conv_51 3.44ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_53 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_54 2.56ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_56 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Split splitncnn_6 0.00ms |
Convolution Conv_57 2.63ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_59 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_60 2.66ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_62 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_45 1.59ms | [ 80, 56, 32 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_47 0.21ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Concat Concat_63 0.62ms |
Convolution Conv_64 11.37ms | [ 80, 56, 64 *8] -> [ 80, 56, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_66 0.55ms | [ 80, 56, 64 *8] -> [ 80, 56, 64 *8]
Split splitncnn_7 0.00ms |
Convolution Conv_195 3.01ms | [ 80, 56, 64 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_197 0.35ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_71 3.65ms | [ 80, 56, 64 *8] -> [ 80, 56, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_73 0.28ms | [ 80, 56, 32 *8] -> [ 80, 56, 32 *8]
Convolution Conv_74 10.07ms | [ 80, 56, 32 *8] -> [ 40, 28, 32 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_76 0.08ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Pooling MaxPool_67 0.53ms | [ 80, 56, 64 *8] -> [ 40, 28, 64 *8]
Convolution Conv_68 0.79ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_70 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Concat Concat_77 0.14ms |
Split splitncnn_8 0.00ms |
Convolution Conv_81 1.33ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_83 0.11ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_9 0.00ms |
Convolution Conv_84 1.31ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_86 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Convolution Conv_87 0.96ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_89 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_10 0.00ms |
Convolution Conv_90 104.40ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_92 19.90ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Convolution Conv_93 30.59ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_95 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Convolution Conv_78 0.81ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_80 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Concat Concat_96 0.31ms |
Convolution Conv_97 5.38ms | [ 40, 28, 128 *8] -> [ 40, 28, 128 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_99 0.26ms | [ 40, 28, 128 *8] -> [ 40, 28, 128 *8]
Split splitncnn_11 0.00ms |
Convolution Conv_164 1.63ms | [ 40, 28, 128 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_166 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Convolution Conv_104 3.19ms | [ 40, 28, 128 *8] -> [ 40, 28, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_106 0.14ms | [ 40, 28, 64 *8] -> [ 40, 28, 64 *8]
Convolution Conv_107 4.88ms | [ 40, 28, 64 *8] -> [ 20, 14, 64 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_109 1.56ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Pooling MaxPool_100 1.86ms | [ 40, 28, 128 *8] -> [ 20, 14, 128 *8]
Convolution Conv_101 0.82ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_103 0.06ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Concat Concat_110 0.10ms |
Split splitncnn_12 0.00ms |
Convolution Conv_114 0.47ms | [ 20, 14, 128 *8] -> [ 20, 14, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_116 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Split splitncnn_13 0.00ms |
Convolution Conv_117 0.58ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_119 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Convolution Conv_120 0.46ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_122 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Split splitncnn_14 0.00ms |
Convolution Conv_123 0.44ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_125 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Convolution Conv_126 0.42ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_128 0.51ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Convolution Conv_111 0.40ms | [ 20, 14, 128 *8] -> [ 20, 14, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_113 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Concat Concat_129 0.08ms |
Convolution Conv_130 1.21ms | [ 20, 14, 128 *8] -> [ 20, 14, 128 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_132 0.06ms | [ 20, 14, 128 *8] -> [ 20, 14, 128 *8]
Split splitncnn_15 0.00ms |
Convolution Conv_133 0.66ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_135 0.04ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Convolution Conv_136 3.70ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_138 11.37ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Convolution Conv_139 4.22ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_141 0.05ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Split splitncnn_16 0.00ms |
Pooling MaxPool_142 0.12ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Pooling MaxPool_143 0.28ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Pooling MaxPool_144 0.44ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Concat Concat_145 0.15ms |
Convolution Conv_146 1.53ms | [ 20, 14, 256 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_148 0.04ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Convolution Conv_149 1.70ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_151 0.04ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Convolution Conv_152 0.71ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_154 0.04ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Concat Concat_155 0.09ms |
Convolution Conv_156 0.72ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_158 0.03ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Split splitncnn_17 0.00ms |
Convolution Conv_159 0.20ms | [ 20, 14, 64 *8] -> [ 20, 14, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_161 0.02ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Interp Resize_163 0.05ms | [ 20, 14, 32 *8] -> [ 40, 28, 32 *8]
Concat Concat_167 0.16ms |
Split splitncnn_18 0.00ms |
Convolution Conv_171 0.91ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_173 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_19 0.00ms |
Convolution Conv_174 3.30ms | [ 40, 28, 32 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_176 0.60ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_20 0.00ms |
Convolution Conv_177 0.48ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_179 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_21 0.00ms |
Convolution Conv_180 0.36ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_182 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_22 0.00ms |
Convolution Conv_183 0.35ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_185 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Convolution Conv_168 0.93ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_170 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Concat Concat_186 0.34ms |
Convolution Conv_187 1.86ms | [ 40, 28, 128 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_189 0.07ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_23 0.00ms |
Convolution Conv_190 0.27ms | [ 40, 28, 32 *8] -> [ 40, 28, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_192 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Interp Resize_194 0.14ms | [ 40, 28, 16 *8] -> [ 80, 56, 16 *8]
Concat Concat_198 0.35ms |
Split splitncnn_24 0.00ms |
Convolution Conv_202 1.42ms | [ 80, 56, 32 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_204 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Split splitncnn_25 0.00ms |
Convolution Conv_205 1.70ms | [ 80, 56, 16 *8] -> [ 80, 56, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_207 0.09ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8]
Split splitncnn_26 0.00ms |
Convolution Conv_208 0.87ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_210 0.09ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8]
Split splitncnn_27 0.00ms |
Convolution Conv_211 0.62ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_213 0.09ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8]
Split splitncnn_28 0.00ms |
Convolution Conv_214 0.51ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_216 0.09ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8]
Convolution Conv_199 1.56ms | [ 80, 56, 32 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_201 1.72ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Concat Concat_217 0.70ms |
Convolution Conv_218 3.82ms | [ 80, 56, 64 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_220 0.20ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Split splitncnn_29 0.00ms |
Convolution Conv_287 3.45ms | [ 80, 56, 16 *8] -> [ 80, 56, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_289 0.33ms | [ 80, 56, 32 *8] -> [ 80, 56, 32 *8]
Split splitncnn_42 0.00ms |
Convolution Conv_476 2.03ms | [ 80, 56, 32 *8] -> [ 80, 56, 255 *1] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_490 1.34ms | [ 80, 56, 255 *1] -> [4480, 85, 3 *1]
Permute Transpose_491 0.38ms | [4480, 85, 3 *1] -> [ 85, 4480, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_460 19.95ms | [ 80, 56, 32 *8] -> [ 80, 56, 735 *4] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_474 15.56ms | [ 80, 56, 735 *4] -> [4480, 980, 3 *1]
Permute Transpose_475 10.96ms | [4480, 980, 3 *1] -> [980, 4480, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_225 26.35ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_227 0.34ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_228 3.50ms | [ 80, 56, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_230 0.12ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Pooling MaxPool_221 0.17ms | [ 80, 56, 16 *8] -> [ 40, 28, 16 *8]
Convolution Conv_222 0.19ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_224 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Concat Concat_231 0.17ms |
Split splitncnn_30 0.00ms |
Convolution Conv_235 0.85ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_237 1.67ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_31 0.00ms |
Convolution Conv_238 1.98ms | [ 40, 28, 32 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_240 0.08ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_32 0.00ms |
Convolution Conv_241 0.46ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_243 0.06ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_33 0.00ms |
Convolution Conv_244 0.39ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_246 0.06ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Split splitncnn_34 0.00ms |
Convolution Conv_247 0.41ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_249 0.06ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Convolution Conv_232 0.91ms | [ 40, 28, 64 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_234 0.11ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Concat Concat_250 0.41ms |
Convolution Conv_251 2.03ms | [ 40, 28, 128 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_253 0.12ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Split splitncnn_35 0.00ms |
Convolution Conv_290 2.60ms | [ 40, 28, 32 *8] -> [ 40, 28, 64 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_292 0.19ms | [ 40, 28, 64 *8] -> [ 40, 28, 64 *8]
Split splitncnn_43 0.00ms |
Convolution Conv_508 1.99ms | [ 40, 28, 64 *8] -> [ 40, 28, 255 *1] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_522 0.23ms | [ 40, 28, 255 *1] -> [1120, 85, 3 *1]
Permute Transpose_523 0.08ms | [1120, 85, 3 *1] -> [ 85, 1120, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_492 8.82ms | [ 40, 28, 64 *8] -> [ 40, 28, 735 *4] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_506 3.44ms | [ 40, 28, 735 *4] -> [1120, 980, 3 *1]
Permute Transpose_507 1.49ms | [1120, 980, 3 *1] -> [980, 1120, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_258 0.48ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_260 0.13ms | [ 40, 28, 32 *8] -> [ 40, 28, 32 *8]
Convolution Conv_261 1.26ms | [ 40, 28, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 2 x 2
Swish Mul_263 0.07ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Pooling MaxPool_254 0.08ms | [ 40, 28, 32 *8] -> [ 20, 14, 32 *8]
Convolution Conv_255 0.14ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_257 0.05ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Concat Concat_264 0.09ms |
Split splitncnn_36 0.00ms |
Convolution Conv_268 93.32ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_270 22.64ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Split splitncnn_37 0.00ms |
Convolution Conv_271 96.77ms | [ 20, 14, 64 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_273 0.19ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Split splitncnn_38 0.00ms |
Convolution Conv_274 0.65ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_276 0.05ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Split splitncnn_39 0.00ms |
Convolution Conv_277 0.49ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_279 0.05ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Split splitncnn_40 0.00ms |
Convolution Conv_280 0.46ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_282 0.05ms | [ 20, 14, 32 *8] -> [ 20, 14, 32 *8]
Convolution Conv_265 0.69ms | [ 20, 14, 128 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_267 0.07ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Concat Concat_283 0.17ms |
Convolution Conv_284 2.82ms | [ 20, 14, 256 *8] -> [ 20, 14, 64 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_286 0.08ms | [ 20, 14, 64 *8] -> [ 20, 14, 64 *8]
Split splitncnn_41 0.00ms |
Convolution Conv_293 3.13ms | [ 20, 14, 64 *8] -> [ 20, 14, 128 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_295 0.11ms | [ 20, 14, 128 *8] -> [ 20, 14, 128 *8]
Split splitncnn_44 0.00ms |
Convolution Conv_540 0.44ms | [ 20, 14, 128 *8] -> [ 20, 14, 255 *1] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_554 0.05ms | [ 20, 14, 255 *1] -> [280, 85, 3 *1]
Permute Transpose_555 0.05ms | [280, 85, 3 *1] -> [ 85, 280, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_524 6.07ms | [ 20, 14, 128 *8] -> [ 20, 14, 735 *4] kernel: 1 x 1 stride: 1 x 1
Reshape Reshape_538 0.63ms | [ 20, 14, 735 *4] -> [280, 980, 3 *1]
Permute Transpose_539 0.30ms | [280, 980, 3 *1] -> [980, 280, 3 *1]
denormals_zero 998277249 not supported
Convolution Conv_301 4.11ms | [160, 112, 32 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_303 0.42ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_296 0.48ms | [ 80, 56, 16 *8] -> [ 80, 56, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_298 0.11ms | [ 80, 56, 8 *8] -> [ 80, 56, 8 *8]
Interp Resize_300 0.26ms | [ 80, 56, 8 *8] -> [160, 112, 8 *8]
Concat Concat_304 0.63ms |
Convolution Conv_305 2.10ms | [160, 112, 16 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_307 0.45ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Split splitncnn_45 0.00ms |
Convolution Conv_308 0.95ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_310 0.46ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_311 8.74ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_313 0.39ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_314 1.07ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_316 0.39ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_317 4.67ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_319 0.50ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_320 1.82ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_322 0.41ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Concat Concat_323 0.97ms |
Convolution Conv_324 2.17ms | [160, 112, 16 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_326 0.40ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Convolution Conv_327 0.81ms | [160, 112, 8 *8] -> [160, 112, 8 *8] kernel: 1 x 1 stride: 1 x 1
Swish Mul_329 0.44ms | [160, 112, 8 *8] -> [160, 112, 8 *8]
Split splitncnn_46 0.00ms |
Convolution Conv_387 18.89ms | [160, 112, 8 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_389 0.87ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_330 6.39ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_332 0.25ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_333 1.04ms | [ 40, 28, 32 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_335 0.09ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Interp Resize_354 13.58ms | [ 40, 28, 16 *8] -> [ 80, 56, 16 *8]
BinaryOp Add_355 16.68ms |
Convolution Conv_356 1.82ms | [ 20, 14, 64 *8] -> [ 20, 14, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_358 0.04ms | [ 20, 14, 16 *8] -> [ 20, 14, 16 *8]
Interp Resize_377 0.13ms | [ 20, 14, 16 *8] -> [ 80, 56, 16 *8]
BinaryOp Add_378 0.33ms |
Convolution Conv_379 7.39ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_381 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Interp Resize_383 0.59ms | [ 80, 56, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_384 12.35ms | [160, 112, 16 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_386 4.52ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
BinaryOp Add_390 1.46ms |
Convolution Conv_391 12.85ms | [160, 112, 16 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_393 0.81ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_394 5.21ms | [160, 112, 16 *8] -> [160, 112, 1 *4] kernel: 1 x 1 stride: 1 x 1
Convolution Conv_452 7.90ms | [160, 112, 8 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_454 0.77ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_395 2.53ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_397 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Convolution Conv_398 1.03ms | [ 40, 28, 32 *8] -> [ 40, 28, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_400 0.05ms | [ 40, 28, 16 *8] -> [ 40, 28, 16 *8]
Interp Resize_419 0.15ms | [ 40, 28, 16 *8] -> [ 80, 56, 16 *8]
BinaryOp Add_420 0.30ms |
Convolution Conv_421 0.78ms | [ 20, 14, 64 *8] -> [ 20, 14, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_423 0.01ms | [ 20, 14, 16 *8] -> [ 20, 14, 16 *8]
Interp Resize_442 0.16ms | [ 20, 14, 16 *8] -> [ 80, 56, 16 *8]
BinaryOp Add_443 4.72ms |
Convolution Conv_444 3.17ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_446 0.18ms | [ 80, 56, 16 *8] -> [ 80, 56, 16 *8]
Interp Resize_448 0.62ms | [ 80, 56, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_449 13.86ms | [160, 112, 16 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_451 1.54ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
BinaryOp Add_455 1.53ms |
Convolution Conv_456 12.57ms | [160, 112, 16 *8] -> [160, 112, 16 *8] kernel: 3 x 3 stride: 1 x 1
Swish Mul_458 0.81ms | [160, 112, 16 *8] -> [160, 112, 16 *8]
Convolution Conv_459 4.81ms | [160, 112, 16 *8] -> [160, 112, 1 *1] kernel: 1 x 1 stride: 1 x 1
Concat Concat_10000 0.04ms |

Segmentation fault (core dumped)

how should i debug?

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