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Yolov5s model conversion and segmentation fault
error log | 日志或报错信息 | ログ
Segmentation fault (core dumped)
model | 模型 | モデル
- original model Yolov5s
how to reproduce | 复现步骤 | 再現方法
- Download my .bin and .param file
- Run the code that I wrote (it differs original ncnn documentation slightly)
I have trained a custom Yolo5s model (from here: https://github.com/ultralytics/yolov5),
Then I converted .pt file to .onnx format with the code that i wrote
import torch
import torch.onnx
model = torch.hub.load('ultralytics/yolov5', 'custom', path="best.pt",force_reload=True) # default
model = model.cpu()
dummy_input = torch.randn(1, 3, 416, 416)
torch.onnx.export(model, dummy_input, "yolov5s_mobile_phone.onnx")
Then I simplified the onnx model,
onnxsim ../yolov5s_mobile_phone.onnx ../yolov5s_mobile_phone_simplified.onnx
Finally, I converted the simplified onnx model to the .bin and .param format.
onnx2ncnn yolov5s_mobile_phone_simplified.onnx yolov5s.bin yolov5s.param
With the operations above I follow this guide to get an output from my model but, (https://ncnn.docsforge.com/master/wiki-home/#input-data-and-extract-output)
#include<iostream>
#include <opencv2/opencv.hpp>
#include"net.h"
int main(){
std::cout << "Hello World!" << std::endl;
cv::Mat image = cv::imread("mfagan.png");
if (image.empty()){
std::cout << "Image not found" << std::endl;
return 1;
}
int w = image.cols;
int h = image.rows;
//resize image to network input size
ncnn::Mat in = ncnn::Mat::from_pixels_resize(image.data, ncnn::Mat::PIXEL_RGB, w, h, 416, 416); //float mean[1] = { 128.f };
float mean[1] = { 128.f };
float norm[1] = { 1/128.f };
in.substract_mean_normalize(mean, norm);
ncnn::Net net;
net.load_param("yolov5s.param");
net.load_model("yolov5s.bin");
ncnn::Extractor ex = net.create_extractor();
ex.set_light_mode(true);
ex.set_num_threads(4);
ex.input("onnx::Cast_0", in);
ncnn::Mat feat;
ex.extract("676", feat);
return 0;
}
The error
Hello World!
Segmentation fault (core dumped)
My .param file
7767517
210 240
Input onnx::Cast_0 0 1 onnx::Cast_0
MemoryData onnx::Add_394 0 1 onnx::Add_394
MemoryData onnx::Add_511 0 1 onnx::Add_511
MemoryData onnx::Add_628 0 1 onnx::Add_628
MemoryData onnx::Mul_418 0 1 onnx::Mul_418
MemoryData onnx::Mul_535 0 1 onnx::Mul_535
MemoryData onnx::Mul_652 0 1 onnx::Mul_652
Convolution Conv_1 1 1 onnx::Cast_0 input 0=32 1=6 11=6 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=3456
Swish Mul_3 1 1 input onnx::Conv_125
Convolution Conv_4 1 1 onnx::Conv_125 input.3 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=18432
Swish Mul_6 1 1 input.3 onnx::Conv_128
Split splitncnn_0 1 2 onnx::Conv_128 onnx::Conv_128_splitncnn_0 onnx::Conv_128_splitncnn_1
Convolution Conv_7 1 1 onnx::Conv_128_splitncnn_1 input.7 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2048
Swish Mul_9 1 1 input.7 onnx::Conv_131
Split splitncnn_1 1 2 onnx::Conv_131 onnx::Conv_131_splitncnn_0 onnx::Conv_131_splitncnn_1
Convolution Conv_10 1 1 onnx::Conv_131_splitncnn_1 input.11 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024
Swish Mul_12 1 1 input.11 onnx::Conv_134
Convolution Conv_13 1 1 onnx::Conv_134 input.15 0=32 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=9216
Swish Mul_15 1 1 input.15 onnx::Add_137
BinaryOp Add_16 2 1 onnx::Conv_131_splitncnn_0 onnx::Add_137 onnx::Concat_138 0=0
Convolution Conv_17 1 1 onnx::Conv_128_splitncnn_0 input.19 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2048
Swish Mul_19 1 1 input.19 onnx::Concat_141
Concat Concat_20 2 1 onnx::Concat_138 onnx::Concat_141 input.23 0=0
Convolution Conv_21 1 1 input.23 input.27 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096
Swish Mul_23 1 1 input.27 onnx::Conv_145
Convolution Conv_24 1 1 onnx::Conv_145 input.31 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=73728
Swish Mul_26 1 1 input.31 onnx::Conv_148
Split splitncnn_2 1 2 onnx::Conv_148 onnx::Conv_148_splitncnn_0 onnx::Conv_148_splitncnn_1
Convolution Conv_27 1 1 onnx::Conv_148_splitncnn_1 input.35 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8192
Swish Mul_29 1 1 input.35 onnx::Conv_151
Split splitncnn_3 1 2 onnx::Conv_151 onnx::Conv_151_splitncnn_0 onnx::Conv_151_splitncnn_1
Convolution Conv_30 1 1 onnx::Conv_151_splitncnn_1 input.39 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096
Swish Mul_32 1 1 input.39 onnx::Conv_154
Convolution Conv_33 1 1 onnx::Conv_154 input.43 0=64 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=36864
Swish Mul_35 1 1 input.43 onnx::Add_157
BinaryOp Add_36 2 1 onnx::Conv_151_splitncnn_0 onnx::Add_157 input.47 0=0
Split splitncnn_4 1 2 input.47 input.47_splitncnn_0 input.47_splitncnn_1
Convolution Conv_37 1 1 input.47_splitncnn_1 input.51 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096
Swish Mul_39 1 1 input.51 onnx::Conv_161
Convolution Conv_40 1 1 onnx::Conv_161 input.55 0=64 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=36864
Swish Mul_42 1 1 input.55 onnx::Add_164
BinaryOp Add_43 2 1 input.47_splitncnn_0 onnx::Add_164 onnx::Concat_165 0=0
Convolution Conv_44 1 1 onnx::Conv_148_splitncnn_0 input.59 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8192
Swish Mul_46 1 1 input.59 onnx::Concat_168
Concat Concat_47 2 1 onnx::Concat_165 onnx::Concat_168 input.63 0=0
Convolution Conv_48 1 1 input.63 input.67 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=16384
Swish Mul_50 1 1 input.67 onnx::Conv_172
Split splitncnn_5 1 2 onnx::Conv_172 onnx::Conv_172_splitncnn_0 onnx::Conv_172_splitncnn_1
Convolution Conv_51 1 1 onnx::Conv_172_splitncnn_1 input.71 0=256 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=294912
Swish Mul_53 1 1 input.71 onnx::Conv_175
Split splitncnn_6 1 2 onnx::Conv_175 onnx::Conv_175_splitncnn_0 onnx::Conv_175_splitncnn_1
Convolution Conv_54 1 1 onnx::Conv_175_splitncnn_1 input.75 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=32768
Swish Mul_56 1 1 input.75 onnx::Conv_178
Split splitncnn_7 1 2 onnx::Conv_178 onnx::Conv_178_splitncnn_0 onnx::Conv_178_splitncnn_1
Convolution Conv_57 1 1 onnx::Conv_178_splitncnn_1 input.79 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=16384
Swish Mul_59 1 1 input.79 onnx::Conv_181
Convolution Conv_60 1 1 onnx::Conv_181 input.83 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=147456
Swish Mul_62 1 1 input.83 onnx::Add_184
BinaryOp Add_63 2 1 onnx::Conv_178_splitncnn_0 onnx::Add_184 input.87 0=0
Split splitncnn_8 1 2 input.87 input.87_splitncnn_0 input.87_splitncnn_1
Convolution Conv_64 1 1 input.87_splitncnn_1 input.91 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=16384
Swish Mul_66 1 1 input.91 onnx::Conv_188
Convolution Conv_67 1 1 onnx::Conv_188 input.95 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=147456
Swish Mul_69 1 1 input.95 onnx::Add_191
BinaryOp Add_70 2 1 input.87_splitncnn_0 onnx::Add_191 input.99 0=0
Split splitncnn_9 1 2 input.99 input.99_splitncnn_0 input.99_splitncnn_1
Convolution Conv_71 1 1 input.99_splitncnn_1 input.103 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=16384
Swish Mul_73 1 1 input.103 onnx::Conv_195
Convolution Conv_74 1 1 onnx::Conv_195 input.107 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=147456
Swish Mul_76 1 1 input.107 onnx::Add_198
BinaryOp Add_77 2 1 input.99_splitncnn_0 onnx::Add_198 onnx::Concat_199 0=0
Convolution Conv_78 1 1 onnx::Conv_175_splitncnn_0 input.111 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=32768
Swish Mul_80 1 1 input.111 onnx::Concat_202
Concat Concat_81 2 1 onnx::Concat_199 onnx::Concat_202 input.115 0=0
Convolution Conv_82 1 1 input.115 input.119 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
Swish Mul_84 1 1 input.119 onnx::Conv_206
Split splitncnn_10 1 2 onnx::Conv_206 onnx::Conv_206_splitncnn_0 onnx::Conv_206_splitncnn_1
Convolution Conv_85 1 1 onnx::Conv_206_splitncnn_1 input.123 0=512 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=1179648
Swish Mul_87 1 1 input.123 onnx::Conv_209
Split splitncnn_11 1 2 onnx::Conv_209 onnx::Conv_209_splitncnn_0 onnx::Conv_209_splitncnn_1
Convolution Conv_88 1 1 onnx::Conv_209_splitncnn_1 input.127 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=131072
Swish Mul_90 1 1 input.127 onnx::Conv_212
Split splitncnn_12 1 2 onnx::Conv_212 onnx::Conv_212_splitncnn_0 onnx::Conv_212_splitncnn_1
Convolution Conv_91 1 1 onnx::Conv_212_splitncnn_1 input.131 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
Swish Mul_93 1 1 input.131 onnx::Conv_215
Convolution Conv_94 1 1 onnx::Conv_215 input.135 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=589824
Swish Mul_96 1 1 input.135 onnx::Add_218
BinaryOp Add_97 2 1 onnx::Conv_212_splitncnn_0 onnx::Add_218 onnx::Concat_219 0=0
Convolution Conv_98 1 1 onnx::Conv_209_splitncnn_0 input.139 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=131072
Swish Mul_100 1 1 input.139 onnx::Concat_222
Concat Concat_101 2 1 onnx::Concat_219 onnx::Concat_222 input.143 0=0
Convolution Conv_102 1 1 input.143 input.147 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
Swish Mul_104 1 1 input.147 onnx::Conv_226
Convolution Conv_105 1 1 onnx::Conv_226 input.151 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=131072
Swish Mul_107 1 1 input.151 onnx::MaxPool_229
Split splitncnn_13 1 2 onnx::MaxPool_229 onnx::MaxPool_229_splitncnn_0 onnx::MaxPool_229_splitncnn_1
Pooling MaxPool_108 1 1 onnx::MaxPool_229_splitncnn_1 onnx::MaxPool_230 0=0 1=5 11=5 2=1 12=1 3=2 13=2 14=2 15=2 5=1
Split splitncnn_14 1 2 onnx::MaxPool_230 onnx::MaxPool_230_splitncnn_0 onnx::MaxPool_230_splitncnn_1
Pooling MaxPool_109 1 1 onnx::MaxPool_230_splitncnn_1 onnx::MaxPool_231 0=0 1=5 11=5 2=1 12=1 3=2 13=2 14=2 15=2 5=1
Split splitncnn_15 1 2 onnx::MaxPool_231 onnx::MaxPool_231_splitncnn_0 onnx::MaxPool_231_splitncnn_1
Pooling MaxPool_110 1 1 onnx::MaxPool_231_splitncnn_1 onnx::Concat_232 0=0 1=5 11=5 2=1 12=1 3=2 13=2 14=2 15=2 5=1
Concat Concat_111 4 1 onnx::MaxPool_229_splitncnn_0 onnx::MaxPool_230_splitncnn_0 onnx::MaxPool_231_splitncnn_0 onnx::Concat_232 input.155 0=0
Convolution Conv_112 1 1 input.155 input.159 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=524288
Swish Mul_114 1 1 input.159 onnx::Conv_236
Convolution Conv_115 1 1 onnx::Conv_236 input.163 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=131072
Swish Mul_117 1 1 input.163 onnx::Upsample_239
Split splitncnn_16 1 2 onnx::Upsample_239 onnx::Upsample_239_splitncnn_0 onnx::Upsample_239_splitncnn_1
Interp Upsample_118 1 1 onnx::Upsample_239_splitncnn_1 onnx::Concat_243 0=1 1=2.000000e+00 2=2.000000e+00 6=0
Concat Concat_119 2 1 onnx::Concat_243 onnx::Conv_206_splitncnn_0 input.167 0=0
Split splitncnn_17 1 2 input.167 input.167_splitncnn_0 input.167_splitncnn_1
Convolution Conv_120 1 1 input.167_splitncnn_1 input.171 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=65536
Swish Mul_122 1 1 input.171 onnx::Conv_247
Convolution Conv_123 1 1 onnx::Conv_247 input.175 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=16384
Swish Mul_125 1 1 input.175 onnx::Conv_250
Convolution Conv_126 1 1 onnx::Conv_250 input.179 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=147456
Swish Mul_128 1 1 input.179 onnx::Concat_253
Convolution Conv_129 1 1 input.167_splitncnn_0 input.183 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=65536
Swish Mul_131 1 1 input.183 onnx::Concat_256
Concat Concat_132 2 1 onnx::Concat_253 onnx::Concat_256 input.187 0=0
Convolution Conv_133 1 1 input.187 input.191 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
Swish Mul_135 1 1 input.191 onnx::Conv_260
Convolution Conv_136 1 1 onnx::Conv_260 input.195 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=32768
Swish Mul_138 1 1 input.195 onnx::Upsample_263
Split splitncnn_18 1 2 onnx::Upsample_263 onnx::Upsample_263_splitncnn_0 onnx::Upsample_263_splitncnn_1
Interp Upsample_139 1 1 onnx::Upsample_263_splitncnn_1 onnx::Concat_267 0=1 1=2.000000e+00 2=2.000000e+00 6=0
Concat Concat_140 2 1 onnx::Concat_267 onnx::Conv_172_splitncnn_0 input.199 0=0
Split splitncnn_19 1 2 input.199 input.199_splitncnn_0 input.199_splitncnn_1
Convolution Conv_141 1 1 input.199_splitncnn_1 input.203 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384
Swish Mul_143 1 1 input.203 onnx::Conv_271
Convolution Conv_144 1 1 onnx::Conv_271 input.207 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096
Swish Mul_146 1 1 input.207 onnx::Conv_274
Convolution Conv_147 1 1 onnx::Conv_274 input.211 0=64 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=36864
Swish Mul_149 1 1 input.211 onnx::Concat_277
Convolution Conv_150 1 1 input.199_splitncnn_0 input.215 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384
Swish Mul_152 1 1 input.215 onnx::Concat_280
Concat Concat_153 2 1 onnx::Concat_277 onnx::Concat_280 input.219 0=0
Convolution Conv_154 1 1 input.219 input.223 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=16384
Swish Mul_156 1 1 input.223 onnx::Conv_284
Split splitncnn_20 1 2 onnx::Conv_284 onnx::Conv_284_splitncnn_0 onnx::Conv_284_splitncnn_1
Convolution Conv_157 1 1 onnx::Conv_284_splitncnn_1 input.227 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=147456
Swish Mul_159 1 1 input.227 onnx::Concat_287
Concat Concat_160 2 1 onnx::Concat_287 onnx::Upsample_263_splitncnn_0 input.231 0=0
Split splitncnn_21 1 2 input.231 input.231_splitncnn_0 input.231_splitncnn_1
Convolution Conv_161 1 1 input.231_splitncnn_1 input.235 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=32768
Swish Mul_163 1 1 input.235 onnx::Conv_291
Convolution Conv_164 1 1 onnx::Conv_291 input.239 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=16384
Swish Mul_166 1 1 input.239 onnx::Conv_294
Convolution Conv_167 1 1 onnx::Conv_294 input.243 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=147456
Swish Mul_169 1 1 input.243 onnx::Concat_297
Convolution Conv_170 1 1 input.231_splitncnn_0 input.247 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=32768
Swish Mul_172 1 1 input.247 onnx::Concat_300
Concat Concat_173 2 1 onnx::Concat_297 onnx::Concat_300 input.251 0=0
Convolution Conv_174 1 1 input.251 input.255 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
Swish Mul_176 1 1 input.255 onnx::Conv_304
Split splitncnn_22 1 2 onnx::Conv_304 onnx::Conv_304_splitncnn_0 onnx::Conv_304_splitncnn_1
Convolution Conv_177 1 1 onnx::Conv_304_splitncnn_1 input.259 0=256 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=589824
Swish Mul_179 1 1 input.259 onnx::Concat_307
Concat Concat_180 2 1 onnx::Concat_307 onnx::Upsample_239_splitncnn_0 input.263 0=0
Split splitncnn_23 1 2 input.263 input.263_splitncnn_0 input.263_splitncnn_1
Convolution Conv_181 1 1 input.263_splitncnn_1 input.267 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=131072
Swish Mul_183 1 1 input.267 onnx::Conv_311
Convolution Conv_184 1 1 onnx::Conv_311 input.271 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
Swish Mul_186 1 1 input.271 onnx::Conv_314
Convolution Conv_187 1 1 onnx::Conv_314 input.275 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=589824
Swish Mul_189 1 1 input.275 onnx::Concat_317
Convolution Conv_190 1 1 input.263_splitncnn_0 input.279 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=131072
Swish Mul_192 1 1 input.279 onnx::Concat_320
Concat Concat_193 2 1 onnx::Concat_317 onnx::Concat_320 input.283 0=0
Convolution Conv_194 1 1 input.283 input.287 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
Swish Mul_196 1 1 input.287 onnx::Conv_324
Convolution Conv_197 1 1 onnx::Conv_284_splitncnn_0 onnx::Reshape_325 0=18 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2304
Reshape Reshape_198 1 1 onnx::Reshape_325 onnx::Transpose_337 0=2704 1=6 2=3
Permute Transpose_199 1 1 onnx::Transpose_337 onnx::Sigmoid_338 0=1
Sigmoid Sigmoid_246 1 1 onnx::Sigmoid_338 y
Slice Split_247 1 3 y onnx::Mul_420 onnx::Mul_421 onnx::Concat_422 -23300=3,2,2,-233 1=3
BinaryOp Mul_249 1 1 onnx::Mul_420 onnx::Add_424 0=2 1=1 2=2.000000e+00
BinaryOp Add_250 2 1 onnx::Add_424 onnx::Add_394 onnx::Mul_425 0=0
BinaryOp Mul_252 1 1 onnx::Mul_425 onnx::Concat_427 0=2 1=1 2=8.000000e+00
BinaryOp Mul_254 1 1 onnx::Mul_421 onnx::Pow_429 0=2 1=1 2=2.000000e+00
BinaryOp Pow_255 1 1 onnx::Pow_429 onnx::Mul_432 0=6 1=1 2=2.000000e+00
BinaryOp Mul_256 2 1 onnx::Mul_432 onnx::Mul_418 onnx::Concat_433 0=2
Concat Concat_257 3 1 onnx::Concat_427 onnx::Concat_433 onnx::Concat_422 onnx::Reshape_434 0=3
Reshape Reshape_258 1 1 onnx::Reshape_434 onnx::Concat_441 0=6 1=-1
Convolution Conv_259 1 1 onnx::Conv_304_splitncnn_0 onnx::Reshape_442 0=18 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4608
Reshape Reshape_260 1 1 onnx::Reshape_442 onnx::Transpose_454 0=676 1=6 2=3
Permute Transpose_261 1 1 onnx::Transpose_454 onnx::Sigmoid_455 0=1
Sigmoid Sigmoid_308 1 1 onnx::Sigmoid_455 y.3
Slice Split_309 1 3 y.3 onnx::Mul_537 onnx::Mul_538 onnx::Concat_539 -23300=3,2,2,-233 1=3
BinaryOp Mul_311 1 1 onnx::Mul_537 onnx::Add_541 0=2 1=1 2=2.000000e+00
BinaryOp Add_312 2 1 onnx::Add_541 onnx::Add_511 onnx::Mul_542 0=0
BinaryOp Mul_314 1 1 onnx::Mul_542 onnx::Concat_544 0=2 1=1 2=1.600000e+01
BinaryOp Mul_316 1 1 onnx::Mul_538 onnx::Pow_546 0=2 1=1 2=2.000000e+00
BinaryOp Pow_317 1 1 onnx::Pow_546 onnx::Mul_549 0=6 1=1 2=2.000000e+00
BinaryOp Mul_318 2 1 onnx::Mul_549 onnx::Mul_535 onnx::Concat_550 0=2
Concat Concat_319 3 1 onnx::Concat_544 onnx::Concat_550 onnx::Concat_539 onnx::Reshape_551 0=3
Reshape Reshape_320 1 1 onnx::Reshape_551 onnx::Concat_558 0=6 1=-1
Convolution Conv_321 1 1 onnx::Conv_324 onnx::Reshape_559 0=18 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=9216
Reshape Reshape_322 1 1 onnx::Reshape_559 onnx::Transpose_571 0=169 1=6 2=3
Permute Transpose_323 1 1 onnx::Transpose_571 onnx::Sigmoid_572 0=1
Sigmoid Sigmoid_370 1 1 onnx::Sigmoid_572 y.7
Slice Split_371 1 3 y.7 onnx::Mul_654 onnx::Mul_655 onnx::Concat_656 -23300=3,2,2,-233 1=3
BinaryOp Mul_373 1 1 onnx::Mul_654 onnx::Add_658 0=2 1=1 2=2.000000e+00
BinaryOp Add_374 2 1 onnx::Add_658 onnx::Add_628 onnx::Mul_659 0=0
BinaryOp Mul_376 1 1 onnx::Mul_659 onnx::Concat_661 0=2 1=1 2=3.200000e+01
BinaryOp Mul_378 1 1 onnx::Mul_655 onnx::Pow_663 0=2 1=1 2=2.000000e+00
BinaryOp Pow_379 1 1 onnx::Pow_663 onnx::Mul_666 0=6 1=1 2=2.000000e+00
BinaryOp Mul_380 2 1 onnx::Mul_666 onnx::Mul_652 onnx::Concat_667 0=2
Concat Concat_381 3 1 onnx::Concat_661 onnx::Concat_667 onnx::Concat_656 onnx::Reshape_668 0=3
Reshape Reshape_382 1 1 onnx::Reshape_668 onnx::Concat_675 0=6 1=-1
Concat Concat_383 3 1 onnx::Concat_441 onnx::Concat_558 onnx::Concat_675 676 0=0
You can download files from here;
https://drive.google.com/drive/folders/1BvyEBIf1n-8i7NRU5qznxPUQdLtbW9dH?usp=sharing
hello，have you solved this problem? i had the same problem.
Yeah, I have solved the problem. I'm trying to prepare a repo about this issue, when it is finished I will be sharing it from here.
hello，have you solved this problem? i had the same problem.
Yeah, I have solved the problem. I'm trying to prepare a repo about this issue, when it is finished I will be sharing it from here.
ok,thanks a lot
hello，have you solved this problem? i had the same problem.
Yeah, I have solved the problem. I'm trying to prepare a repo about this issue, when it is finished I will be sharing it from here.
hello, i had the same problem. could you share to solve it.
hello，have you solved this problem? i had the same problem.
Yeah, I have solved the problem. I'm trying to prepare a repo about this issue, when it is finished I will be sharing it from here.
could you share to solve it. Pls!
