|
|
发表于 2022-7-7 11:02:31
只看该作者
7#
这是详细日志信息
firefly@firefly:~/Desktop/rknn_yolov5_demo_Linux$ export LD_LIBRARY_PATH=./lib/libr
firefly@firefly:~/Desktop/rknn_yolov5_demo_Linux$ export LD_LIBRARY_PATH=./lib
firefly@firefly:~/Desktop/rknn_yolov5_demo_Linux$ ./rknn_yolov5_demo ./model/RK356X/yolov5s_640_raw.rknn ./model/bus.jpg
post process config: box_conf_threshold = 0.50, nms_threshold = 0.60
Read ./model/bus.jpg ...
img width = 640, img height = 640
Loading mode...
I RKNN: [02:51:43.471] RKNN Runtime Information: librknnrt version: 1.3.0 (9b36d4d74@2022-05-04T20:17:01)
I RKNN: [02:51:43.471] RKNN Driver Information: version: 0.4.2
I RKNN: [02:51:43.473] RKNN Model Information: version: 1, toolkit version: 1.3.0-11912b58(compiler version: 1.3.0 (9b36d4d74@2022-05-04T12:17:29)), target: RKNPU lite, target platform: rk3566, framework name: ONNX, framework layout: NCHW
D RKNN: [02:51:43.476] allocate memory: virt addr = 0x7f7b048000, dma addr = 0xff800000, obj addr = 0xffffffc1f1df6000, size = 8089088, fd = 4, handle = 1, gem name = 1
D RKNN: [02:51:43.495] allocate memory: virt addr = 0x7f8029f000, dma addr = 0xff600000, obj addr = 0xffffffc1f1df6a00, size = 928384, fd = 5, handle = 2, gem name = 2
D RKNN: [02:51:43.496] allocate memory: virt addr = 0x7f825cc000, dma addr = 0xff5e8000, obj addr = 0xffffffc1f2dc9a00, size = 19920, fd = 6, handle = 3, gem name = 3
D RKNN: [02:51:43.506] allocate memory: virt addr = 0x7f798db000, dma addr = 0xfc000000, obj addr = 0xffffffc1f2f47000, size = 24563200, fd = 7, handle = 4, gem name = 4
D RKNN: [02:51:43.511] allocate memory: virt addr = 0x7f80173000, dma addr = 0xfbe00000, obj addr = 0xffffffc1f2f46000, size = 1228800, fd = 8, handle = 5, gem name = 5
D RKNN: [02:51:43.512] allocate memory: virt addr = 0x7f796bd000, dma addr = 0xfb800000, obj addr = 0xffffffc1f2f47800, size = 2217600, fd = 9, handle = 6, gem name = 6
D RKNN: [02:51:43.514] allocate memory: virt addr = 0x7f78e70000, dma addr = 0xfa000000, obj addr = 0xffffffc1f1dfb400, size = 8704000, fd = 14, handle = 7, gem name = 7
D RKNN: [02:51:43.515] allocate memory: virt addr = 0x7f78c5c000, dma addr = 0xf9c00000, obj addr = 0xffffffc1f4039400, size = 2176000, fd = 15, handle = 8, gem name = 8
D RKNN: [02:51:43.517] allocate memory: virt addr = 0x7f800ee000, dma addr = 0xf9b00000, obj addr = 0xffffffc1f4038a00, size = 544000, fd = 16, handle = 9, gem name = 9
D RKNN: [02:51:43.519] --------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] ID User Tensor | [addr )end size
D RKNN: [02:51:43.519] --------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] 1 Conv images | 0xfbe00000 0xfbf2c000 0x0012c000
D RKNN: [02:51:43.519] 2 exSwish 122 | 0xfc12c000 0xfc44c000 0x00320000
D RKNN: [02:51:43.519] 3 Conv 124 | 0xfc44c000 0xfc76c000 0x00320000
D RKNN: [02:51:43.519] 4 exSwish 125 | 0xfc000000 0xfc190000 0x00190000
D RKNN: [02:51:43.519] 5 Conv 127 | 0xfc190000 0xfc320000 0x00190000
D RKNN: [02:51:43.519] 6 exSwish 128 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 7 Conv 130 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 8 exSwish 131 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 9 Conv 133 | 0xfc320000 0xfc3e8000 0x000c8000
D RKNN: [02:51:43.519] 10 exSwish 134 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 11 Add 130 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 11 Add 136 | 0xfc320000 0xfc3e8000 0x000c8000
D RKNN: [02:51:43.519] 12 Conv 127 | 0xfc190000 0xfc320000 0x00190000
D RKNN: [02:51:43.519] 13 exSwish 138 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 14 Concat 137 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 14 Concat 140 | 0xfc190000 0xfc258000 0x000c8000
D RKNN: [02:51:43.519] 15 Conv 141 | 0xfc258000 0xfc3e8000 0x00190000
D RKNN: [02:51:43.519] 16 exSwish 142 | 0xfc000000 0xfc190000 0x00190000
D RKNN: [02:51:43.519] 17 Conv 144 | 0xfc190000 0xfc320000 0x00190000
D RKNN: [02:51:43.519] 18 exSwish 145 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 19 Conv 147 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 20 exSwish 148 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 21 Conv 150 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 22 exSwish 151 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 23 Conv 153 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 24 exSwish 154 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 25 Add 150 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 25 Add 156 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 26 Conv 157 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 27 exSwish 158 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 28 Conv 160 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 29 exSwish 161 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 30 Add 157 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 30 Add 163 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 31 Conv 147 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 32 exSwish 165 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 33 Concat 164 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 33 Concat 167 | 0xfc0c8000 0xfc12c000 0x00064000
D RKNN: [02:51:43.519] 34 Conv 168 | 0xfc12c000 0xfc1f4000 0x000c8000
D RKNN: [02:51:43.519] 35 exSwish 169 | 0xfc000000 0xfc0c8000 0x000c8000
D RKNN: [02:51:43.519] 36 Conv 171 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 37 exSwish 172 | 0xfc000000 0xfc064000 0x00064000
D RKNN: [02:51:43.519] 38 Conv 174 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 39 exSwish 175 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 40 Conv 177 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 41 exSwish 178 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 42 Conv 180 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 43 exSwish 181 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 44 Add 177 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 44 Add 183 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 45 Conv 184 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 46 exSwish 185 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 47 Conv 187 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 48 exSwish 188 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 49 Add 184 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 49 Add 190 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 50 Conv 191 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 51 exSwish 192 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 52 Conv 194 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 53 exSwish 195 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 54 Add 191 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 54 Add 197 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 55 Conv 174 | 0xfc064000 0xfc0c8000 0x00064000
D RKNN: [02:51:43.519] 56 exSwish 199 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 57 Concat 198 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 57 Concat 201 | 0xfc064000 0xfc096000 0x00032000
D RKNN: [02:51:43.519] 58 Conv 202 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 59 exSwish 203 | 0xfc000000 0xfc06a400 0x0006a400
D RKNN: [02:51:43.519] 60 Conv 205 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 61 exSwish 206 | 0xfc000000 0xfc032000 0x00032000
D RKNN: [02:51:43.519] 62 Conv 208 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 63 exSwish 209 | 0xfc000000 0xfc01a900 0x0001a900
D RKNN: [02:51:43.519] 64 Conv 211 | 0xfc064000 0xfc07d000 0x00019000
D RKNN: [02:51:43.519] 65 exSwish 212 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 66 Conv 214 | 0xfc019000 0xfc032000 0x00019000
D RKNN: [02:51:43.519] 67 exSwish 215 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 68 Add 211 | 0xfc064000 0xfc07d000 0x00019000
D RKNN: [02:51:43.519] 68 Add 217 | 0xfc019000 0xfc032000 0x00019000
D RKNN: [02:51:43.519] 69 Conv 208 | 0xfc032000 0xfc064000 0x00032000
D RKNN: [02:51:43.519] 70 exSwish 219 | 0xfc064000 0xfc07e900 0x0001a900
D RKNN: [02:51:43.519] 71 Concat 218 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 71 Concat 221 | 0xfc07e900 0xfc097900 0x00019000
D RKNN: [02:51:43.519] 72 Conv 222 | 0xfc019000 0xfc04b000 0x00032000
D RKNN: [02:51:43.519] 73 exSwish 223 | 0xfc04b000 0xfc07e900 0x00033900
D RKNN: [02:51:43.519] 74 Conv 225 | 0xfc07e900 0xfc0b0900 0x00032000
D RKNN: [02:51:43.519] 75 exSwish 226 | 0xfc000000 0xfc01a900 0x0001a900
D RKNN: [02:51:43.519] 76 MaxPool 228 | 0xfc01a900 0xfc033900 0x00019000
D RKNN: [02:51:43.519] 77 MaxPool 229 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 78 MaxPool 230 | 0xfc033900 0xfc04c900 0x00019000
D RKNN: [02:51:43.519] 79 Concat 228 | 0xfc01a900 0xfc033900 0x00019000
D RKNN: [02:51:43.519] 79 Concat 229 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 79 Concat 230 | 0xfc033900 0xfc04c900 0x00019000
D RKNN: [02:51:43.519] 79 Concat 231 | 0xfc04c900 0xfc065900 0x00019000
D RKNN: [02:51:43.519] 80 Conv 232 | 0xfc1f4000 0xfc258000 0x00064000
D RKNN: [02:51:43.519] 81 exSwish 233 | 0xfc000000 0xfc033900 0x00033900
D RKNN: [02:51:43.519] 82 Conv 235 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 83 exSwish 236 | 0xfc000000 0xfc01a900 0x0001a900
D RKNN: [02:51:43.519] 84 ConvTranspose 238 | 0xfc01a900 0xfc033900 0x00019000
D RKNN: [02:51:43.519] 85 Concat 243 | 0xfc033900 0xfc097900 0x00064000
D RKNN: [02:51:43.519] 85 Concat 205 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 86 Conv 244 | 0xfc1f4000 0xfc2bc000 0x000c8000
D RKNN: [02:51:43.519] 87 exSwish 245 | 0xfc190000 0xfc1c8400 0x00038400
D RKNN: [02:51:43.519] 88 Conv 247 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 89 exSwish 248 | 0xfc065900 0xfc097900 0x00032000
D RKNN: [02:51:43.519] 90 Conv 250 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 91 exSwish 251 | 0xfc065900 0xfc097900 0x00032000
D RKNN: [02:51:43.519] 92 Conv 244 | 0xfc1f4000 0xfc2bc000 0x000c8000
D RKNN: [02:51:43.519] 93 exSwish 254 | 0xfc065900 0xfc09dd00 0x00038400
D RKNN: [02:51:43.519] 94 Concat 253 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 94 Concat 256 | 0xfc190000 0xfc1c2000 0x00032000
D RKNN: [02:51:43.519] 95 Conv 257 | 0xfc1c2000 0xfc226000 0x00064000
D RKNN: [02:51:43.519] 96 exSwish 258 | 0xfc033900 0xfc09dd00 0x0006a400
D RKNN: [02:51:43.519] 97 Conv 260 | 0xfc190000 0xfc1f4000 0x00064000
D RKNN: [02:51:43.519] 98 exSwish 261 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 99 ConvTranspose 263 | 0xfc065900 0xfc097900 0x00032000
D RKNN: [02:51:43.519] 100 Concat 268 | 0xfc190000 0xfc258000 0x000c8000
D RKNN: [02:51:43.519] 100 Concat 171 | 0xfc0c8000 0xfc190000 0x000c8000
D RKNN: [02:51:43.519] 101 Conv 269 | 0xfc258000 0xfc3e8000 0x00190000
D RKNN: [02:51:43.519] 102 exSwish 270 | 0xfc097900 0xfc0fb900 0x00064000
D RKNN: [02:51:43.519] 103 Conv 272 | 0xfc0fb900 0xfc15f900 0x00064000
D RKNN: [02:51:43.519] 104 exSwish 273 | 0xfc097900 0xfc0fb900 0x00064000
D RKNN: [02:51:43.519] 105 Conv 275 | 0xfc0fb900 0xfc15f900 0x00064000
D RKNN: [02:51:43.519] 106 exSwish 276 | 0xfc097900 0xfc0fb900 0x00064000
D RKNN: [02:51:43.519] 107 Conv 269 | 0xfc258000 0xfc3e8000 0x00190000
D RKNN: [02:51:43.519] 108 exSwish 279 | 0xfc097900 0xfc0fb900 0x00064000
D RKNN: [02:51:43.519] 109 Concat 278 | 0xfc0fb900 0xfc15f900 0x00064000
D RKNN: [02:51:43.519] 109 Concat 281 | 0xfc15f900 0xfc1c3900 0x00064000
D RKNN: [02:51:43.519] 110 Conv 282 | 0xfc1c3900 0xfc28b900 0x000c8000
D RKNN: [02:51:43.519] 111 exSwish 283 | 0xfc097900 0xfc15f900 0x000c8000
D RKNN: [02:51:43.519] 112 Conv 285 | 0xfc15f900 0xfc227900 0x000c8000
D RKNN: [02:51:43.519] 113 exSwish 286 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 114 Concat 288 | 0xfc097900 0xfc0c9900 0x00032000
D RKNN: [02:51:43.519] 114 Concat 263 | 0xfc065900 0xfc097900 0x00032000
D RKNN: [02:51:43.519] 115 Conv 289 | 0xfc0c9900 0xfc12d900 0x00064000
D RKNN: [02:51:43.519] 116 exSwish 290 | 0xfc12d900 0xfc15f900 0x00032000
D RKNN: [02:51:43.519] 117 Conv 292 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 118 exSwish 293 | 0xfc12d900 0xfc15f900 0x00032000
D RKNN: [02:51:43.519] 119 Conv 295 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 120 exSwish 296 | 0xfc12d900 0xfc15f900 0x00032000
D RKNN: [02:51:43.519] 121 Conv 289 | 0xfc0c9900 0xfc12d900 0x00064000
D RKNN: [02:51:43.519] 122 exSwish 299 | 0xfc12d900 0xfc15f900 0x00032000
D RKNN: [02:51:43.519] 123 Concat 298 | 0xfc033900 0xfc065900 0x00032000
D RKNN: [02:51:43.519] 123 Concat 301 | 0xfc065900 0xfc097900 0x00032000
D RKNN: [02:51:43.519] 124 Conv 302 | 0xfc097900 0xfc0fb900 0x00064000
D RKNN: [02:51:43.519] 125 exSwish 303 | 0xfc227900 0xfc291d00 0x0006a400
D RKNN: [02:51:43.519] 126 Conv 305 | 0xfc033900 0xfc097900 0x00064000
D RKNN: [02:51:43.519] 127 exSwish 306 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 128 Concat 308 | 0xfc097900 0xfc0b0900 0x00019000
D RKNN: [02:51:43.519] 128 Concat 238 | 0xfc01a900 0xfc033900 0x00019000
D RKNN: [02:51:43.519] 129 Conv 309 | 0xfc0b0900 0xfc0e2900 0x00032000
D RKNN: [02:51:43.519] 130 exSwish 310 | 0xfc000000 0xfc01a900 0x0001a900
D RKNN: [02:51:43.519] 131 Conv 312 | 0xfc01a900 0xfc033900 0x00019000
D RKNN: [02:51:43.519] 132 exSwish 313 | 0xfc097900 0xfc0b0900 0x00019000
D RKNN: [02:51:43.519] 133 Conv 315 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 134 exSwish 316 | 0xfc097900 0xfc0b0900 0x00019000
D RKNN: [02:51:43.519] 135 Conv 309 | 0xfc0b0900 0xfc0e2900 0x00032000
D RKNN: [02:51:43.519] 136 exSwish 319 | 0xfc019000 0xfc033900 0x0001a900
D RKNN: [02:51:43.519] 137 Concat 318 | 0xfc000000 0xfc019000 0x00019000
D RKNN: [02:51:43.519] 137 Concat 321 | 0xfc097900 0xfc0b0900 0x00019000
D RKNN: [02:51:43.519] 138 Conv 322 | 0xfc0b0900 0xfc0e2900 0x00032000
D RKNN: [02:51:43.519] 139 exSwish 323 | 0xfc000000 0xfc033900 0x00033900
D RKNN: [02:51:43.519] 140 Conv 325 | 0xfc097900 0xfc0c9900 0x00032000
D RKNN: [02:51:43.519] 141 Reshape 442 | 0xfc000000 0xfc01a900 0x0001a900
D RKNN: [02:51:43.519] 142 Transpose 460 | 0xfc097900 0xfc11c600 0x00084d00
D RKNN: [02:51:43.519] 143 Sigmoid 461 | 0xf9b00000 0xf9dac600 0x00084d00
D RKNN: [02:51:43.519] 144 Split 462 | 0xfc097900 0xfc0d9f80 0x00042680
D RKNN: [02:51:43.519] 145 Mul 467 | 0xfc000000 0xfc001900 0x00001900
D RKNN: [02:51:43.519] 146 Add 469 | 0xfc003200 0xfc006400 0x00003200
D RKNN: [02:51:43.519] 147 Add 471 | 0xfc000000 0xfc001900 0x00001900
D RKNN: [02:51:43.519] 148 Mul 473 | 0xfc003200 0xfc004b00 0x00001900
D RKNN: [02:51:43.519] 149 Mul 480 | 0xfc001900 0xfc003200 0x00001900
D RKNN: [02:51:43.519] 150 Pow 482 | 0xfc007d00 0xfc00af00 0x00003200
D RKNN: [02:51:43.519] 151 Mul 484 | 0xfc000000 0xfc001900 0x00001900
D RKNN: [02:51:43.519] 152 Concat 475 | 0xfc004b00 0xfc007d00 0x00003200
D RKNN: [02:51:43.519] 152 Concat 486 | 0xfc001900 0xfc004b00 0x00003200
D RKNN: [02:51:43.519] 152 Concat 491 | 0xfc0d9f80 0xfc119400 0x0003f480
D RKNN: [02:51:43.519] 153 Reshape 492 | 0xfc097900 0xfc0d9f80 0x00042680
D RKNN: [02:51:43.519] 154 Conv 305 | 0xfc033900 0xfc097900 0x00064000
D RKNN: [02:51:43.519] 155 Reshape 384 | 0xfc097900 0xfc101d00 0x0006a400
D RKNN: [02:51:43.519] 156 Transpose 402 | 0xfc2ac600 0xfc4bfa00 0x00213400
D RKNN: [02:51:43.519] 157 Sigmoid 403 | 0xf9c00000 0xfa2d2e00 0x00213400
D RKNN: [02:51:43.519] 158 Split 404 | 0xfc019c80 0xfc123680 0x00109a00
D RKNN: [02:51:43.519] 159 Mul 409 | 0xfc123680 0xfc129a80 0x00006400
D RKNN: [02:51:43.519] 160 Add 411 | 0xfc12fe80 0xfc13c680 0x0000c800
D RKNN: [02:51:43.519] 161 Add 413 | 0xfc13c680 0xfc142a80 0x00006400
D RKNN: [02:51:43.519] 162 Mul 415 | 0xfc12fe80 0xfc136280 0x00006400
D RKNN: [02:51:43.519] 163 Mul 422 | 0xfc129a80 0xfc12fe80 0x00006400
D RKNN: [02:51:43.519] 164 Pow 424 | 0xfc142a80 0xfc14f280 0x0000c800
D RKNN: [02:51:43.519] 165 Mul 426 | 0xfc14f280 0xfc155680 0x00006400
D RKNN: [02:51:43.519] 166 Concat 417 | 0xfc136280 0xfc142a80 0x0000c800
D RKNN: [02:51:43.519] 166 Concat 428 | 0xfc142a80 0xfc14f280 0x0000c800
D RKNN: [02:51:43.519] 166 Concat 433 | 0xfc2ac600 0xfc3a9800 0x000fd200
D RKNN: [02:51:43.519] 167 Reshape 434 | 0xfc3a9800 0xfc4b3200 0x00109a00
D RKNN: [02:51:43.519] 168 Conv 285 | 0xfc15f900 0xfc227900 0x000c8000
D RKNN: [02:51:43.519] 169 Reshape 326 | 0xfc313800 0xfc4a3800 0x00190000
D RKNN: [02:51:43.519] 170 Transpose 344 | 0xfc6d2e00 0xfcf1fe00 0x0084d000
D RKNN: [02:51:43.519] 171 Sigmoid 345 | 0xfa000000*0xfb76ce00 0x0084d000
D RKNN: [02:51:43.519] 172 Split 346 | 0xfc6d2e00 0xfcaf9600 0x00426800
D RKNN: [02:51:43.519] 173 Mul 351 | 0xfc32c800 0xfc345800 0x00019000
D RKNN: [02:51:43.519] 174 Add 353 | 0xfceede00 0xfcf1fe00 0x00032000
D RKNN: [02:51:43.519] 175 Add 355 | 0xfc32c800 0xfc345800 0x00019000
D RKNN: [02:51:43.519] 176 Mul 357 | 0xfceede00 0xfcf06e00 0x00019000
D RKNN: [02:51:43.519] 177 Mul 364 | 0xfc313800 0xfc32c800 0x00019000
D RKNN: [02:51:43.519] 178 Pow 366 | 0xfceede00 0xfcf1fe00 0x00032000
D RKNN: [02:51:43.519] 179 Mul 368 | 0xfc313800 0xfc32c800 0x00019000
D RKNN: [02:51:43.519] 180 Concat 359 | 0xfc32c800 0xfc35e800 0x00032000
D RKNN: [02:51:43.519] 180 Concat 370 | 0xfceede00 0xfcf1fe00 0x00032000
D RKNN: [02:51:43.519] 180 Concat 375 | 0xfcaf9600 0xfceede00 0x003f4800
D RKNN: [02:51:43.519] 181 Reshape 376 | 0xfc6d2e00 0xfcaf9600 0x00426800
D RKNN: [02:51:43.519] 182 Concat 383_shape4_Concat_348 | 0xfc313800 0xfc4b0000 0x0019c800
D RKNN: [02:51:43.519] 182 Concat 441_shape4_Concat_348 | 0xfc2ac600 0xfc313800 0x00067200
D RKNN: [02:51:43.519] 182 Concat 499_shape4_Concat_348 | 0xfc000000 0xfc019c80 0x00019c80
D RKNN: [02:51:43.519] 183 Reshape output_shape4 | 0xfc6d2e00 0xfc8f0480 0x0021d680
D RKNN: [02:51:43.519] 184 OutputOperator output | 0xfb800000 0xfba1d680 0x0021d680
D RKNN: [02:51:43.519] 185 OutputOperator 345 | 0xfa000000*0xfb76ce00 0x0084d000
D RKNN: [02:51:43.519] 186 OutputOperator 403 | 0xf9c00000 0xfa2d2e00 0x00213400
D RKNN: [02:51:43.519] 187 OutputOperator 461 | 0xf9b00000 0xf9dac600 0x00084d00
D RKNN: [02:51:43.519] --------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] -------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] ID User Tensor | [addr )end size
D RKNN: [02:51:43.519] -------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] 1 Conv model.0.conv.weight | 0xff804900 0xff806d00 0x00002400
D RKNN: [02:51:43.519] 1 Conv model.0.conv.bias | 0xff806d00 0xff806e00 0x00000100
D RKNN: [02:51:43.519] 3 Conv model.1.conv.weight | 0xff806e00 0xff80b600 0x00004800
D RKNN: [02:51:43.519] 3 Conv model.1.conv.bias | 0xff80b600 0xff80b800 0x00000200
D RKNN: [02:51:43.519] 5 Conv model.2.cv1.conv.weight | 0xff80b800 0xff80c000 0x00000800
D RKNN: [02:51:43.519] 5 Conv model.2.cv1.conv.bias | 0xff80c000 0xff80c100 0x00000100
D RKNN: [02:51:43.519] 7 Conv model.2.m.0.cv1.conv.weight | 0xff80dc00 0xff80e000 0x00000400
D RKNN: [02:51:43.519] 7 Conv model.2.m.0.cv1.conv.bias | 0xff80e000 0xff80e100 0x00000100
D RKNN: [02:51:43.519] 9 Conv model.2.m.0.cv2.conv.weight | 0xff80e100 0xff810500 0x00002400
D RKNN: [02:51:43.519] 9 Conv model.2.m.0.cv2.conv.bias | 0xff810500 0xff810600 0x00000100
D RKNN: [02:51:43.519] 12 Conv model.2.cv2.conv.weight | 0xff80c100 0xff80c900 0x00000800
D RKNN: [02:51:43.519] 12 Conv model.2.cv2.conv.bias | 0xff80c900 0xff80ca00 0x00000100
D RKNN: [02:51:43.519] 15 Conv model.2.cv3.conv.weight | 0xff80ca00 0xff80da00 0x00001000
D RKNN: [02:51:43.519] 15 Conv model.2.cv3.conv.bias | 0xff80da00 0xff80dc00 0x00000200
D RKNN: [02:51:43.519] 17 Conv model.3.conv.weight | 0xff810600 0xff822600 0x00012000
D RKNN: [02:51:43.519] 17 Conv model.3.conv.bias | 0xff822600 0xff822a00 0x00000400
D RKNN: [02:51:43.519] 19 Conv model.4.cv1.conv.weight | 0xff822a00 0xff824a00 0x00002000
D RKNN: [02:51:43.519] 19 Conv model.4.cv1.conv.bias | 0xff824a00 0xff824c00 0x00000200
D RKNN: [02:51:43.519] 21 Conv model.4.m.0.cv1.conv.weight | 0xff82b200 0xff82c200 0x00001000
D RKNN: [02:51:43.519] 21 Conv model.4.m.0.cv1.conv.bias | 0xff82c200 0xff82c400 0x00000200
D RKNN: [02:51:43.519] 23 Conv model.4.m.0.cv2.conv.weight | 0xff82c400 0xff835400 0x00009000
D RKNN: [02:51:43.519] 23 Conv model.4.m.0.cv2.conv.bias | 0xff835400 0xff835600 0x00000200
D RKNN: [02:51:43.519] 26 Conv model.4.m.1.cv1.conv.weight | 0xff835600 0xff836600 0x00001000
D RKNN: [02:51:43.519] 26 Conv model.4.m.1.cv1.conv.bias | 0xff836600 0xff836800 0x00000200
D RKNN: [02:51:43.519] 28 Conv model.4.m.1.cv2.conv.weight | 0xff836800 0xff83f800 0x00009000
D RKNN: [02:51:43.519] 28 Conv model.4.m.1.cv2.conv.bias | 0xff83f800 0xff83fa00 0x00000200
D RKNN: [02:51:43.519] 31 Conv model.4.cv2.conv.weight | 0xff824c00 0xff826c00 0x00002000
D RKNN: [02:51:43.519] 31 Conv model.4.cv2.conv.bias | 0xff826c00 0xff826e00 0x00000200
D RKNN: [02:51:43.519] 34 Conv model.4.cv3.conv.weight | 0xff826e00 0xff82ae00 0x00004000
D RKNN: [02:51:43.519] 34 Conv model.4.cv3.conv.bias | 0xff82ae00 0xff82b200 0x00000400
D RKNN: [02:51:43.519] 36 Conv model.5.conv.weight | 0xff83fa00 0xff887a00 0x00048000
D RKNN: [02:51:43.519] 36 Conv model.5.conv.bias | 0xff887a00 0xff888200 0x00000800
D RKNN: [02:51:43.519] 38 Conv model.6.cv1.conv.weight | 0xff888200 0xff890200 0x00008000
D RKNN: [02:51:43.519] 38 Conv model.6.cv1.conv.bias | 0xff890200 0xff890600 0x00000400
D RKNN: [02:51:43.519] 40 Conv model.6.m.0.cv1.conv.weight | 0xff8a9200 0xff8ad200 0x00004000
D RKNN: [02:51:43.519] 40 Conv model.6.m.0.cv1.conv.bias | 0xff8ad200 0xff8ad600 0x00000400
D RKNN: [02:51:43.519] 42 Conv model.6.m.0.cv2.conv.weight | 0xff8ad600 0xff8d1600 0x00024000
D RKNN: [02:51:43.519] 42 Conv model.6.m.0.cv2.conv.bias | 0xff8d1600 0xff8d1a00 0x00000400
D RKNN: [02:51:43.519] 45 Conv model.6.m.1.cv1.conv.weight | 0xff8d1a00 0xff8d5a00 0x00004000
D RKNN: [02:51:43.519] 45 Conv model.6.m.1.cv1.conv.bias | 0xff8d5a00 0xff8d5e00 0x00000400
D RKNN: [02:51:43.519] 47 Conv model.6.m.1.cv2.conv.weight | 0xff8d5e00 0xff8f9e00 0x00024000
D RKNN: [02:51:43.519] 47 Conv model.6.m.1.cv2.conv.bias | 0xff8f9e00 0xff8fa200 0x00000400
D RKNN: [02:51:43.519] 50 Conv model.6.m.2.cv1.conv.weight | 0xff8fa200 0xff8fe200 0x00004000
D RKNN: [02:51:43.519] 50 Conv model.6.m.2.cv1.conv.bias | 0xff8fe200 0xff8fe600 0x00000400
D RKNN: [02:51:43.519] 52 Conv model.6.m.2.cv2.conv.weight | 0xff8fe600 0xff922600 0x00024000
D RKNN: [02:51:43.519] 52 Conv model.6.m.2.cv2.conv.bias | 0xff922600 0xff922a00 0x00000400
D RKNN: [02:51:43.519] 55 Conv model.6.cv2.conv.weight | 0xff890600 0xff898600 0x00008000
D RKNN: [02:51:43.519] 55 Conv model.6.cv2.conv.bias | 0xff898600 0xff898a00 0x00000400
D RKNN: [02:51:43.519] 58 Conv model.6.cv3.conv.weight | 0xff898a00 0xff8a8a00 0x00010000
D RKNN: [02:51:43.519] 58 Conv model.6.cv3.conv.bias | 0xff8a8a00 0xff8a9200 0x00000800
D RKNN: [02:51:43.519] 60 Conv model.7.conv.weight | 0xff922a00 0xffa42a00 0x00120000
D RKNN: [02:51:43.519] 60 Conv model.7.conv.bias | 0xffa42a00 0xffa43a00 0x00001000
D RKNN: [02:51:43.519] 62 Conv model.8.cv1.conv.weight | 0xffa43a00 0xffa63a00 0x00020000
D RKNN: [02:51:43.519] 62 Conv model.8.cv1.conv.bias | 0xffa63a00 0xffa64200 0x00000800
D RKNN: [02:51:43.519] 64 Conv model.8.m.0.cv1.conv.weight | 0xffac5a00 0xffad5a00 0x00010000
D RKNN: [02:51:43.519] 64 Conv model.8.m.0.cv1.conv.bias | 0xffad5a00 0xffad6200 0x00000800
D RKNN: [02:51:43.519] 66 Conv model.8.m.0.cv2.conv.weight | 0xffad6200 0xffb66200 0x00090000
D RKNN: [02:51:43.519] 66 Conv model.8.m.0.cv2.conv.bias | 0xffb66200 0xffb66a00 0x00000800
D RKNN: [02:51:43.519] 69 Conv model.8.cv2.conv.weight | 0xffa64200 0xffa84200 0x00020000
D RKNN: [02:51:43.519] 69 Conv model.8.cv2.conv.bias | 0xffa84200 0xffa84a00 0x00000800
D RKNN: [02:51:43.519] 72 Conv model.8.cv3.conv.weight | 0xffa84a00 0xffac4a00 0x00040000
D RKNN: [02:51:43.519] 72 Conv model.8.cv3.conv.bias | 0xffac4a00 0xffac5a00 0x00001000
D RKNN: [02:51:43.519] 74 Conv model.9.cv1.conv.weight | 0xffb66a00 0xffb86a00 0x00020000
D RKNN: [02:51:43.519] 74 Conv model.9.cv1.conv.bias | 0xffb86a00 0xffb87200 0x00000800
D RKNN: [02:51:43.519] 80 Conv model.9.cv2.conv.weight | 0xffb87200 0xffc07200 0x00080000
D RKNN: [02:51:43.519] 80 Conv model.9.cv2.conv.bias | 0xffc07200 0xffc08200 0x00001000
D RKNN: [02:51:43.519] 82 Conv model.10.conv.weight | 0xffc08200 0xffc28200 0x00020000
D RKNN: [02:51:43.519] 82 Conv model.10.conv.bias | 0xffc28200 0xffc28a00 0x00000800
D RKNN: [02:51:43.519] 84 ConvTranspose Resize_118_2deconv_weight | 0xfff5e540 0xfff5f540 0x00001000
D RKNN: [02:51:43.519] 84 ConvTranspose Resize_118_2deconv_weight_bias | 0xfff5ff00 0xfff60700 0x00000800
D RKNN: [02:51:43.519] 86 Conv model.13.cv1.conv.weight | 0xffc28a00 0xffc38a00 0x00010000
D RKNN: [02:51:43.519] 86 Conv model.13.cv1.conv.bias | 0xffc38a00 0xffc38e00 0x00000400
D RKNN: [02:51:43.519] 88 Conv model.13.m.0.cv1.conv.weight | 0xffc59a00 0xffc5da00 0x00004000
D RKNN: [02:51:43.519] 88 Conv model.13.m.0.cv1.conv.bias | 0xffc5da00 0xffc5de00 0x00000400
D RKNN: [02:51:43.519] 90 Conv model.13.m.0.cv2.conv.weight | 0xffc5de00 0xffc81e00 0x00024000
D RKNN: [02:51:43.519] 90 Conv model.13.m.0.cv2.conv.bias | 0xffc81e00 0xffc82200 0x00000400
D RKNN: [02:51:43.519] 92 Conv model.13.cv2.conv.weight | 0xffc38e00 0xffc48e00 0x00010000
D RKNN: [02:51:43.519] 92 Conv model.13.cv2.conv.bias | 0xffc48e00 0xffc49200 0x00000400
D RKNN: [02:51:43.519] 95 Conv model.13.cv3.conv.weight | 0xffc49200 0xffc59200 0x00010000
D RKNN: [02:51:43.519] 95 Conv model.13.cv3.conv.bias | 0xffc59200 0xffc59a00 0x00000800
D RKNN: [02:51:43.519] 97 Conv model.14.conv.weight | 0xffc82200 0xffc8a200 0x00008000
D RKNN: [02:51:43.519] 97 Conv model.14.conv.bias | 0xffc8a200 0xffc8a600 0x00000400
D RKNN: [02:51:43.519] 99 ConvTranspose Resize_140_2deconv_weight | 0xfff5f540 0xfff5fd40 0x00000800
D RKNN: [02:51:43.519] 99 ConvTranspose Resize_140_2deconv_weight_bias | 0xfff60700 0xfff60b00 0x00000400
D RKNN: [02:51:43.519] 101 Conv model.17.cv1.conv.weight | 0xffc8a600 0xffc8e600 0x00004000
D RKNN: [02:51:43.519] 101 Conv model.17.cv1.conv.bias | 0xffc8e600 0xffc8e800 0x00000200
D RKNN: [02:51:43.519] 103 Conv model.17.m.0.cv1.conv.weight | 0xffc96e00 0xffc97e00 0x00001000
D RKNN: [02:51:43.519] 103 Conv model.17.m.0.cv1.conv.bias | 0xffc97e00 0xffc98000 0x00000200
D RKNN: [02:51:43.519] 105 Conv model.17.m.0.cv2.conv.weight | 0xffc98000 0xffca1000 0x00009000
D RKNN: [02:51:43.519] 105 Conv model.17.m.0.cv2.conv.bias | 0xffca1000 0xffca1200 0x00000200
D RKNN: [02:51:43.519] 107 Conv model.17.cv2.conv.weight | 0xffc8e800 0xffc92800 0x00004000
D RKNN: [02:51:43.519] 107 Conv model.17.cv2.conv.bias | 0xffc92800 0xffc92a00 0x00000200
D RKNN: [02:51:43.519] 110 Conv model.17.cv3.conv.weight | 0xffc92a00 0xffc96a00 0x00004000
D RKNN: [02:51:43.519] 110 Conv model.17.cv3.conv.bias | 0xffc96a00 0xffc96e00 0x00000400
D RKNN: [02:51:43.519] 112 Conv model.18.conv.weight | 0xffca1200 0xffcc5200 0x00024000
D RKNN: [02:51:43.519] 112 Conv model.18.conv.bias | 0xffcc5200 0xffcc5600 0x00000400
D RKNN: [02:51:43.519] 115 Conv model.20.cv1.conv.weight | 0xffcc5600 0xffccd600 0x00008000
D RKNN: [02:51:43.519] 115 Conv model.20.cv1.conv.bias | 0xffccd600 0xffccda00 0x00000400
D RKNN: [02:51:43.519] 117 Conv model.20.m.0.cv1.conv.weight | 0xffce6600 0xffcea600 0x00004000
D RKNN: [02:51:43.519] 117 Conv model.20.m.0.cv1.conv.bias | 0xffcea600 0xffceaa00 0x00000400
D RKNN: [02:51:43.519] 119 Conv model.20.m.0.cv2.conv.weight | 0xffceaa00 0xffd0ea00 0x00024000
D RKNN: [02:51:43.519] 119 Conv model.20.m.0.cv2.conv.bias | 0xffd0ea00 0xffd0ee00 0x00000400
D RKNN: [02:51:43.519] 121 Conv model.20.cv2.conv.weight | 0xffccda00 0xffcd5a00 0x00008000
D RKNN: [02:51:43.519] 121 Conv model.20.cv2.conv.bias | 0xffcd5a00 0xffcd5e00 0x00000400
D RKNN: [02:51:43.519] 124 Conv model.20.cv3.conv.weight | 0xffcd5e00 0xffce5e00 0x00010000
D RKNN: [02:51:43.519] 124 Conv model.20.cv3.conv.bias | 0xffce5e00 0xffce6600 0x00000800
D RKNN: [02:51:43.519] 126 Conv model.21.conv.weight | 0xffd0ee00 0xffd9ee00 0x00090000
D RKNN: [02:51:43.519] 126 Conv model.21.conv.bias | 0xffd9ee00 0xffd9f600 0x00000800
D RKNN: [02:51:43.519] 129 Conv model.23.cv1.conv.weight | 0xffd9f600 0xffdbf600 0x00020000
D RKNN: [02:51:43.519] 129 Conv model.23.cv1.conv.bias | 0xffdbf600 0xffdbfe00 0x00000800
D RKNN: [02:51:43.519] 131 Conv model.23.m.0.cv1.conv.weight | 0xffe21600 0xffe31600 0x00010000
D RKNN: [02:51:43.519] 131 Conv model.23.m.0.cv1.conv.bias | 0xffe31600 0xffe31e00 0x00000800
D RKNN: [02:51:43.519] 133 Conv model.23.m.0.cv2.conv.weight | 0xffe31e00 0xffec1e00 0x00090000
D RKNN: [02:51:43.519] 133 Conv model.23.m.0.cv2.conv.bias | 0xffec1e00 0xffec2600 0x00000800
D RKNN: [02:51:43.519] 135 Conv model.23.cv2.conv.weight | 0xffdbfe00 0xffddfe00 0x00020000
D RKNN: [02:51:43.519] 135 Conv model.23.cv2.conv.bias | 0xffddfe00 0xffde0600 0x00000800
D RKNN: [02:51:43.519] 138 Conv model.23.cv3.conv.weight | 0xffde0600 0xffe20600 0x00040000
D RKNN: [02:51:43.519] 138 Conv model.23.cv3.conv.bias | 0xffe20600 0xffe21600 0x00001000
D RKNN: [02:51:43.519] 140 Conv model.24.m.2.weight | 0xffedb480 0xffefb280 0x0001fe00
D RKNN: [02:51:43.519] 140 Conv model.24.m.2.bias | 0xffefb280 0xffefba80 0x00000800
D RKNN: [02:51:43.519] 154 Conv model.24.m.1.weight | 0xffecad80 0xffedac80 0x0000ff00
D RKNN: [02:51:43.519] 154 Conv model.24.m.1.bias | 0xffedac80 0xffedb480 0x00000800
D RKNN: [02:51:43.519] 168 Conv model.24.m.0.weight | 0xffec2600 0xffeca580 0x00007f80
D RKNN: [02:51:43.519] 168 Conv model.24.m.0.bias | 0xffeca580 0xffecad80 0x00000800
D RKNN: [02:51:43.519] -------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] --------------------------------------------------------+---------------------------------
D RKNN: [02:51:43.519] 0 Initializer 352 | 0xffefba80 0xffefba84 0x00000004
D RKNN: [02:51:43.519] 1 Initializer 356 | 0xffefbac0 0x10021bac0 0x00320000
D RKNN: [02:51:43.519] 2 Initializer 358 | 0xfff212c0 0xfff212c4 0x00000004
D RKNN: [02:51:43.519] 3 Initializer 365 | 0xfff21300 0xfff21304 0x00000004
D RKNN: [02:51:43.519] 4 Initializer 367 | 0xfff21340 0xfff21380 0x00000040
D RKNN: [02:51:43.519] 5 Initializer 369 | 0xfff21380 0xfff46b80 0x00025800
D RKNN: [02:51:43.519] 6 Initializer 410 | 0xfff46b80 0xfff46b84 0x00000004
D RKNN: [02:51:43.519] 7 Initializer 414 | 0xfff46bc0 0x10000ebc0 0x000c8000
D RKNN: [02:51:43.519] 8 Initializer 416 | 0xfff501c0 0xfff501c4 0x00000004
D RKNN: [02:51:43.519] 9 Initializer 423 | 0xfff50200 0xfff50204 0x00000004
D RKNN: [02:51:43.519] a Initializer 425 | 0xfff50240 0xfff50280 0x00000040
D RKNN: [02:51:43.519] b Initializer 427 | 0xfff50280 0xfff59880 0x00009600
D RKNN: [02:51:43.519] c Initializer 468 | 0xfff59880 0xfff59884 0x00000004
D RKNN: [02:51:43.519] d Initializer 472 | 0xfff598c0 0xfff8b8c0 0x00032000
D RKNN: [02:51:43.519] e Initializer 474 | 0xfff5be40 0xfff5be44 0x00000004
D RKNN: [02:51:43.519] f Initializer 481 | 0xfff5be80 0xfff5be84 0x00000004
D RKNN: [02:51:43.519] 10 Initializer 483 | 0xfff5bec0 0xfff5bf00 0x00000040
D RKNN: [02:51:43.519] 11 Initializer 485 | 0xfff5bf00 0xfff5e480 0x00002580
D RKNN: [02:51:43.519] 12 Initializer 343 | 0xfff5e480 0xfff5e4a8 0x00000028
D RKNN: [02:51:43.519] 13 Initializer 401 | 0xfff5e4c0 0xfff5e4e8 0x00000028
D RKNN: [02:51:43.519] 14 Initializer 459 | 0xfff5e500 0xfff5e528 0x00000028
D RKNN: [02:51:43.519] 15 Initializer Concat_348_0_expand0_shape | 0xfff5fd40 0xfff5fd60 0x00000020
D RKNN: [02:51:43.519] 16 Initializer Concat_348_1_expand0_shape | 0xfff5fd80 0xfff5fda0 0x00000020
D RKNN: [02:51:43.519] 17 Initializer Concat_348_2_expand0_shape | 0xfff5fdc0 0xfff5fde0 0x00000020
D RKNN: [02:51:43.519] 18 Initializer Sub_323_to_add_B | 0xfff5fe00 0xfff5ff00 0x00000100
D RKNN: [02:51:43.519] 19 Initializer Sub_273_to_add_B | 0xfff5fe40 0xfff5ff40 0x00000100
D RKNN: [02:51:43.519] 1a Initializer Sub_223_to_add_B | 0xfff5fe80 0xfff5ff80 0x00000100
D RKNN: [02:51:43.519] 1b Initializer Concat_348_0_expand1_shape1613 | 0xfff5fec0 0xfff5fee0 0x00000020
D RKNN: [02:51:43.519] --------------------------------------------------------+---------------------------------
D RKNN: [02:51:43.526] Total Weight Memory : 11817152
D RKNN: [02:51:43.526] Total Internal Memory: 24563200
D RKNN: [02:51:43.526] Total Memory: 36380352
D RKNN: [02:51:43.526] Total Allocate Memory: 48470992
sdk version: 1.3.0 (9b36d4d74@2022-05-04T20:17:01) driver version: 0.4.2
model input num: 1, output num: 4
index=0, name=images, n_dims=4, dims=[1, 640, 640, 3], n_elems=1228800, size=1228800, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003922
index=0, name=output, n_dims=4, dims=[1, 25200, 85, 1], n_elems=2142000, size=2142000, fmt=NCHW, type=INT8, qnt_type=AFFINE, zp=-128, scale=2.498262
index=1, name=345, n_dims=4, dims=[1, 3, 80, 80], n_elems=19200, size=19200, fmt=NCHW, type=INT8, qnt_type=AFFINE, zp=84, scale=0.090397
index=2, name=403, n_dims=4, dims=[1, 3, 40, 40], n_elems=4800, size=4800, fmt=NCHW, type=INT8, qnt_type=AFFINE, zp=52, scale=0.078757
index=3, name=461, n_dims=4, dims=[1, 3, 20, 20], n_elems=1200, size=1200, fmt=NCHW, type=INT8, qnt_type=AFFINE, zp=57, scale=0.080078
model is NHWC input fmt
model input height=640, width=640, channel=3
rga_api version 1.3.0_[0] (RGA is compiling with meson base: $PRODUCT_BASE)
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 0, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 40, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 80, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 120, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 160, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 200, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 240, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 280, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 320, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 360, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 400, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 440, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 480, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 520, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 44], startxyz: [0, 560, 0]
D RKNN: [02:51:43.560] argb mode info: chw: [3, 640, 640], stride: 640, tile chw: [3, 640, 40], startxyz: [0, 600, 0]
D RKNN: [02:51:43.560] enable argb mode, dtype: UINT8, channel: 3
D RKNN: [02:51:43.560] normalize target: NPU
D RKNN: [02:51:43.561] update cvt sign: 0
D RKNN: [02:51:43.562] Get NPU frequency: 600MHz
W RKNN: [02:51:43.562] Cannot get DDR Freq! Set default freq: 1560Mhz
D RKNN: [02:51:43.562] Get DDR frequency: 1560MHz
D RKNN: [02:51:43.565] dump npy tensor to: dumps/000_InputOperator_images_shape_1_3_640_640_uint8.npy
E RKNN: [02:51:43.565] failed open dump path: dumps/000_InputOperator_images_shape_1_3_640_640_uint8.npy
E RKNN: [02:51:43.566] failed open dump path: dumps/000_InputOperator_images_shape_1_3_640_640_to_1_1_640_640_3_sa1_uint8.tensor
D RKNN: [02:51:43.594] dump npy tensor to: dumps/001_Conv_122_shape_1_32_320_320_float.npy
E RKNN: [02:51:43.594] failed open dump path: dumps/001_Conv_122_shape_1_32_320_320_float.npy
E RKNN: [02:51:43.597] failed open dump path: dumps/001_Conv_122_shape_1_32_320_320_to_1_4_320_320_8_sa4_int8.tensor
D RKNN: [02:51:43.620] dump npy tensor to: dumps/002_exSwish_124_shape_1_32_320_320_float.npy
E RKNN: [02:51:43.621] failed open dump path: dumps/002_exSwish_124_shape_1_32_320_320_float.npy
E RKNN: [02:51:43.621] failed open dump path: dumps/002_exSwish_124_shape_1_32_320_320_to_1_4_320_320_8_sa4_int8.tensor
D RKNN: [02:51:43.631] dump npy tensor to: dumps/003_Conv_125_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.631] failed open dump path: dumps/003_Conv_125_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.631] failed open dump path: dumps/003_Conv_125_shape_1_64_160_160_to_1_8_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.641] dump npy tensor to: dumps/004_exSwish_127_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.641] failed open dump path: dumps/004_exSwish_127_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.641] failed open dump path: dumps/004_exSwish_127_shape_1_64_160_160_to_1_8_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.645] dump npy tensor to: dumps/005_Conv_128_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.645] failed open dump path: dumps/005_Conv_128_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.645] failed open dump path: dumps/005_Conv_128_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.650] dump npy tensor to: dumps/006_exSwish_130_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.650] failed open dump path: dumps/006_exSwish_130_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.650] failed open dump path: dumps/006_exSwish_130_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.656] dump npy tensor to: dumps/007_Conv_131_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.656] failed open dump path: dumps/007_Conv_131_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.656] failed open dump path: dumps/007_Conv_131_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.663] dump npy tensor to: dumps/008_exSwish_133_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.663] failed open dump path: dumps/008_exSwish_133_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.663] failed open dump path: dumps/008_exSwish_133_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.667] dump npy tensor to: dumps/009_Conv_134_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.668] failed open dump path: dumps/009_Conv_134_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.668] failed open dump path: dumps/009_Conv_134_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.672] dump npy tensor to: dumps/010_exSwish_136_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.672] failed open dump path: dumps/010_exSwish_136_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.672] failed open dump path: dumps/010_exSwish_136_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.677] dump npy tensor to: dumps/011_Add_137_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.677] failed open dump path: dumps/011_Add_137_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.677] failed open dump path: dumps/011_Add_137_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.681] dump npy tensor to: dumps/012_Conv_138_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.681] failed open dump path: dumps/012_Conv_138_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.681] failed open dump path: dumps/012_Conv_138_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.686] dump npy tensor to: dumps/013_exSwish_140_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.686] failed open dump path: dumps/013_exSwish_140_shape_1_32_160_160_float.npy
E RKNN: [02:51:43.686] failed open dump path: dumps/013_exSwish_140_shape_1_32_160_160_to_1_4_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.694] dump npy tensor to: dumps/014_Concat_141_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.694] failed open dump path: dumps/014_Concat_141_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.694] failed open dump path: dumps/014_Concat_141_shape_1_64_160_160_to_1_8_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.705] dump npy tensor to: dumps/015_Conv_142_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.705] failed open dump path: dumps/015_Conv_142_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.705] failed open dump path: dumps/015_Conv_142_shape_1_64_160_160_to_1_8_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.717] dump npy tensor to: dumps/016_exSwish_144_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.717] failed open dump path: dumps/016_exSwish_144_shape_1_64_160_160_float.npy
E RKNN: [02:51:43.717] failed open dump path: dumps/016_exSwish_144_shape_1_64_160_160_to_1_8_160_160_8_sa4_int8.tensor
D RKNN: [02:51:43.727] dump npy tensor to: dumps/017_Conv_145_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.727] failed open dump path: dumps/017_Conv_145_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.728] failed open dump path: dumps/017_Conv_145_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.733] dump npy tensor to: dumps/018_exSwish_147_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.733] failed open dump path: dumps/018_exSwish_147_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.733] failed open dump path: dumps/018_exSwish_147_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.735] dump npy tensor to: dumps/019_Conv_148_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.736] failed open dump path: dumps/019_Conv_148_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.736] failed open dump path: dumps/019_Conv_148_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.738] dump npy tensor to: dumps/020_exSwish_150_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.738] failed open dump path: dumps/020_exSwish_150_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.738] failed open dump path: dumps/020_exSwish_150_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.741] dump npy tensor to: dumps/021_Conv_151_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.741] failed open dump path: dumps/021_Conv_151_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.741] failed open dump path: dumps/021_Conv_151_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.744] dump npy tensor to: dumps/022_exSwish_153_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.744] failed open dump path: dumps/022_exSwish_153_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.744] failed open dump path: dumps/022_exSwish_153_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.747] dump npy tensor to: dumps/023_Conv_154_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.747] failed open dump path: dumps/023_Conv_154_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.747] failed open dump path: dumps/023_Conv_154_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.750] dump npy tensor to: dumps/024_exSwish_156_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.750] failed open dump path: dumps/024_exSwish_156_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.750] failed open dump path: dumps/024_exSwish_156_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.752] dump npy tensor to: dumps/025_Add_157_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.753] failed open dump path: dumps/025_Add_157_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.753] failed open dump path: dumps/025_Add_157_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.755] dump npy tensor to: dumps/026_Conv_158_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.756] failed open dump path: dumps/026_Conv_158_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.756] failed open dump path: dumps/026_Conv_158_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.759] dump npy tensor to: dumps/027_exSwish_160_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.759] failed open dump path: dumps/027_exSwish_160_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.759] failed open dump path: dumps/027_exSwish_160_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.764] dump npy tensor to: dumps/028_Conv_161_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.764] failed open dump path: dumps/028_Conv_161_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.764] failed open dump path: dumps/028_Conv_161_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.767] dump npy tensor to: dumps/029_exSwish_163_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.768] failed open dump path: dumps/029_exSwish_163_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.768] failed open dump path: dumps/029_exSwish_163_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.771] dump npy tensor to: dumps/030_Add_164_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.771] failed open dump path: dumps/030_Add_164_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.771] failed open dump path: dumps/030_Add_164_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.774] dump npy tensor to: dumps/031_Conv_165_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.774] failed open dump path: dumps/031_Conv_165_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.774] failed open dump path: dumps/031_Conv_165_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.777] dump npy tensor to: dumps/032_exSwish_167_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.777] failed open dump path: dumps/032_exSwish_167_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.777] failed open dump path: dumps/032_exSwish_167_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.782] dump npy tensor to: dumps/033_Concat_168_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.782] failed open dump path: dumps/033_Concat_168_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.782] failed open dump path: dumps/033_Concat_168_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.788] dump npy tensor to: dumps/034_Conv_169_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.788] failed open dump path: dumps/034_Conv_169_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.788] failed open dump path: dumps/034_Conv_169_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.793] dump npy tensor to: dumps/035_exSwish_171_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.793] failed open dump path: dumps/035_exSwish_171_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.793] failed open dump path: dumps/035_exSwish_171_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.797] dump npy tensor to: dumps/036_Conv_172_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.798] failed open dump path: dumps/036_Conv_172_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.798] failed open dump path: dumps/036_Conv_172_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.804] dump npy tensor to: dumps/037_exSwish_174_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.804] failed open dump path: dumps/037_exSwish_174_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.804] failed open dump path: dumps/037_exSwish_174_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.806] dump npy tensor to: dumps/038_Conv_175_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.806] failed open dump path: dumps/038_Conv_175_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.806] failed open dump path: dumps/038_Conv_175_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.807] dump npy tensor to: dumps/039_exSwish_177_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.808] failed open dump path: dumps/039_exSwish_177_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.808] failed open dump path: dumps/039_exSwish_177_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.809] dump npy tensor to: dumps/040_Conv_178_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.809] failed open dump path: dumps/040_Conv_178_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.809] failed open dump path: dumps/040_Conv_178_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.811] dump npy tensor to: dumps/041_exSwish_180_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.811] failed open dump path: dumps/041_exSwish_180_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.811] failed open dump path: dumps/041_exSwish_180_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.813] dump npy tensor to: dumps/042_Conv_181_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.813] failed open dump path: dumps/042_Conv_181_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.813] failed open dump path: dumps/042_Conv_181_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.815] dump npy tensor to: dumps/043_exSwish_183_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.815] failed open dump path: dumps/043_exSwish_183_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.815] failed open dump path: dumps/043_exSwish_183_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.817] dump npy tensor to: dumps/044_Add_184_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.817] failed open dump path: dumps/044_Add_184_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.817] failed open dump path: dumps/044_Add_184_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.818] dump npy tensor to: dumps/045_Conv_185_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.818] failed open dump path: dumps/045_Conv_185_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.818] failed open dump path: dumps/045_Conv_185_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.820] dump npy tensor to: dumps/046_exSwish_187_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.820] failed open dump path: dumps/046_exSwish_187_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.820] failed open dump path: dumps/046_exSwish_187_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.822] dump npy tensor to: dumps/047_Conv_188_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.822] failed open dump path: dumps/047_Conv_188_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.822] failed open dump path: dumps/047_Conv_188_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.824] dump npy tensor to: dumps/048_exSwish_190_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.824] failed open dump path: dumps/048_exSwish_190_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.824] failed open dump path: dumps/048_exSwish_190_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.826] dump npy tensor to: dumps/049_Add_191_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.826] failed open dump path: dumps/049_Add_191_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.826] failed open dump path: dumps/049_Add_191_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.827] dump npy tensor to: dumps/050_Conv_192_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.828] failed open dump path: dumps/050_Conv_192_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.828] failed open dump path: dumps/050_Conv_192_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.829] dump npy tensor to: dumps/051_exSwish_194_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.829] failed open dump path: dumps/051_exSwish_194_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.830] failed open dump path: dumps/051_exSwish_194_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.832] dump npy tensor to: dumps/052_Conv_195_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.832] failed open dump path: dumps/052_Conv_195_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.832] failed open dump path: dumps/052_Conv_195_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.834] dump npy tensor to: dumps/053_exSwish_197_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.835] failed open dump path: dumps/053_exSwish_197_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.835] failed open dump path: dumps/053_exSwish_197_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.837] dump npy tensor to: dumps/054_Add_198_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.837] failed open dump path: dumps/054_Add_198_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.837] failed open dump path: dumps/054_Add_198_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.840] dump npy tensor to: dumps/055_Conv_199_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.841] failed open dump path: dumps/055_Conv_199_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.841] failed open dump path: dumps/055_Conv_199_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.843] dump npy tensor to: dumps/056_exSwish_201_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.843] failed open dump path: dumps/056_exSwish_201_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.843] failed open dump path: dumps/056_exSwish_201_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.847] dump npy tensor to: dumps/057_Concat_202_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.847] failed open dump path: dumps/057_Concat_202_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.848] failed open dump path: dumps/057_Concat_202_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.851] dump npy tensor to: dumps/058_Conv_203_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.851] failed open dump path: dumps/058_Conv_203_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.851] failed open dump path: dumps/058_Conv_203_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.854] dump npy tensor to: dumps/059_exSwish_205_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.854] failed open dump path: dumps/059_exSwish_205_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.855] failed open dump path: dumps/059_exSwish_205_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.858] dump npy tensor to: dumps/060_Conv_206_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.858] failed open dump path: dumps/060_Conv_206_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.858] failed open dump path: dumps/060_Conv_206_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.861] dump npy tensor to: dumps/061_exSwish_208_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.861] failed open dump path: dumps/061_exSwish_208_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.861] failed open dump path: dumps/061_exSwish_208_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.862] dump npy tensor to: dumps/062_Conv_209_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.862] failed open dump path: dumps/062_Conv_209_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.862] failed open dump path: dumps/062_Conv_209_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.863] dump npy tensor to: dumps/063_exSwish_211_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.863] failed open dump path: dumps/063_exSwish_211_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.864] failed open dump path: dumps/063_exSwish_211_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.864] dump npy tensor to: dumps/064_Conv_212_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.864] failed open dump path: dumps/064_Conv_212_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.864] failed open dump path: dumps/064_Conv_212_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.865] dump npy tensor to: dumps/065_exSwish_214_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.865] failed open dump path: dumps/065_exSwish_214_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.865] failed open dump path: dumps/065_exSwish_214_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.867] dump npy tensor to: dumps/066_Conv_215_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.867] failed open dump path: dumps/066_Conv_215_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.867] failed open dump path: dumps/066_Conv_215_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.868] dump npy tensor to: dumps/067_exSwish_217_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.868] failed open dump path: dumps/067_exSwish_217_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.868] failed open dump path: dumps/067_exSwish_217_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.869] dump npy tensor to: dumps/068_Add_218_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.869] failed open dump path: dumps/068_Add_218_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.869] failed open dump path: dumps/068_Add_218_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.870] dump npy tensor to: dumps/069_Conv_219_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.870] failed open dump path: dumps/069_Conv_219_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.870] failed open dump path: dumps/069_Conv_219_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.871] dump npy tensor to: dumps/070_exSwish_221_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.871] failed open dump path: dumps/070_exSwish_221_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.871] failed open dump path: dumps/070_exSwish_221_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.872] dump npy tensor to: dumps/071_Concat_222_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.872] failed open dump path: dumps/071_Concat_222_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.872] failed open dump path: dumps/071_Concat_222_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.875] dump npy tensor to: dumps/072_Conv_223_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.876] failed open dump path: dumps/072_Conv_223_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.876] failed open dump path: dumps/072_Conv_223_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.879] dump npy tensor to: dumps/073_exSwish_225_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.879] failed open dump path: dumps/073_exSwish_225_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.879] failed open dump path: dumps/073_exSwish_225_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.880] dump npy tensor to: dumps/074_Conv_226_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.880] failed open dump path: dumps/074_Conv_226_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.881] failed open dump path: dumps/074_Conv_226_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.881] dump npy tensor to: dumps/075_exSwish_228_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.881] failed open dump path: dumps/075_exSwish_228_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.882] failed open dump path: dumps/075_exSwish_228_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.882] dump npy tensor to: dumps/076_MaxPool_229_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.882] failed open dump path: dumps/076_MaxPool_229_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.882] failed open dump path: dumps/076_MaxPool_229_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.883] dump npy tensor to: dumps/077_MaxPool_230_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.883] failed open dump path: dumps/077_MaxPool_230_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.883] failed open dump path: dumps/077_MaxPool_230_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.884] dump npy tensor to: dumps/078_MaxPool_231_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.884] failed open dump path: dumps/078_MaxPool_231_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.885] failed open dump path: dumps/078_MaxPool_231_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.887] dump npy tensor to: dumps/079_Concat_232_shape_1_1024_20_20_float.npy
E RKNN: [02:51:43.887] failed open dump path: dumps/079_Concat_232_shape_1_1024_20_20_float.npy
E RKNN: [02:51:43.887] failed open dump path: dumps/079_Concat_232_shape_1_1024_20_20_to_1_128_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.889] dump npy tensor to: dumps/080_Conv_233_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.890] failed open dump path: dumps/080_Conv_233_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.890] failed open dump path: dumps/080_Conv_233_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.891] dump npy tensor to: dumps/081_exSwish_235_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.891] failed open dump path: dumps/081_exSwish_235_shape_1_512_20_20_float.npy
E RKNN: [02:51:43.891] failed open dump path: dumps/081_exSwish_235_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.892] dump npy tensor to: dumps/082_Conv_236_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.892] failed open dump path: dumps/082_Conv_236_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.892] failed open dump path: dumps/082_Conv_236_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.893] dump npy tensor to: dumps/083_exSwish_238_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.893] failed open dump path: dumps/083_exSwish_238_shape_1_256_20_20_float.npy
E RKNN: [02:51:43.893] failed open dump path: dumps/083_exSwish_238_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:43.896] dump npy tensor to: dumps/084_ConvTranspose_243_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.896] failed open dump path: dumps/084_ConvTranspose_243_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.896] failed open dump path: dumps/084_ConvTranspose_243_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.901] dump npy tensor to: dumps/085_Concat_244_shape_1_512_40_40_float.npy
E RKNN: [02:51:43.902] failed open dump path: dumps/085_Concat_244_shape_1_512_40_40_float.npy
E RKNN: [02:51:43.902] failed open dump path: dumps/085_Concat_244_shape_1_512_40_40_to_1_64_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.903] dump npy tensor to: dumps/086_Conv_245_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.904] failed open dump path: dumps/086_Conv_245_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.904] failed open dump path: dumps/086_Conv_245_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.905] dump npy tensor to: dumps/087_exSwish_247_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.905] failed open dump path: dumps/087_exSwish_247_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.906] failed open dump path: dumps/087_exSwish_247_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.907] dump npy tensor to: dumps/088_Conv_248_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.908] failed open dump path: dumps/088_Conv_248_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.908] failed open dump path: dumps/088_Conv_248_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.910] dump npy tensor to: dumps/089_exSwish_250_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.910] failed open dump path: dumps/089_exSwish_250_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.910] failed open dump path: dumps/089_exSwish_250_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.912] dump npy tensor to: dumps/090_Conv_251_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.913] failed open dump path: dumps/090_Conv_251_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.913] failed open dump path: dumps/090_Conv_251_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.916] dump npy tensor to: dumps/091_exSwish_253_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.916] failed open dump path: dumps/091_exSwish_253_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.916] failed open dump path: dumps/091_exSwish_253_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.918] dump npy tensor to: dumps/092_Conv_254_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.919] failed open dump path: dumps/092_Conv_254_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.919] failed open dump path: dumps/092_Conv_254_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.922] dump npy tensor to: dumps/093_exSwish_256_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.922] failed open dump path: dumps/093_exSwish_256_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.922] failed open dump path: dumps/093_exSwish_256_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.925] dump npy tensor to: dumps/094_Concat_257_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.925] failed open dump path: dumps/094_Concat_257_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.925] failed open dump path: dumps/094_Concat_257_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.928] dump npy tensor to: dumps/095_Conv_258_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.928] failed open dump path: dumps/095_Conv_258_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.928] failed open dump path: dumps/095_Conv_258_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.931] dump npy tensor to: dumps/096_exSwish_260_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.932] failed open dump path: dumps/096_exSwish_260_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.932] failed open dump path: dumps/096_exSwish_260_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.933] dump npy tensor to: dumps/097_Conv_261_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.933] failed open dump path: dumps/097_Conv_261_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.933] failed open dump path: dumps/097_Conv_261_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.935] dump npy tensor to: dumps/098_exSwish_263_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.935] failed open dump path: dumps/098_exSwish_263_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.935] failed open dump path: dumps/098_exSwish_263_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.939] dump npy tensor to: dumps/099_ConvTranspose_268_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.939] failed open dump path: dumps/099_ConvTranspose_268_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.939] failed open dump path: dumps/099_ConvTranspose_268_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.950] dump npy tensor to: dumps/100_Concat_269_shape_1_256_80_80_float.npy
E RKNN: [02:51:43.950] failed open dump path: dumps/100_Concat_269_shape_1_256_80_80_float.npy
E RKNN: [02:51:43.950] failed open dump path: dumps/100_Concat_269_shape_1_256_80_80_to_1_32_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.956] dump npy tensor to: dumps/101_Conv_270_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.956] failed open dump path: dumps/101_Conv_270_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.957] failed open dump path: dumps/101_Conv_270_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.959] dump npy tensor to: dumps/102_exSwish_272_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.959] failed open dump path: dumps/102_exSwish_272_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.959] failed open dump path: dumps/102_exSwish_272_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.962] dump npy tensor to: dumps/103_Conv_273_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.962] failed open dump path: dumps/103_Conv_273_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.962] failed open dump path: dumps/103_Conv_273_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.964] dump npy tensor to: dumps/104_exSwish_275_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.964] failed open dump path: dumps/104_exSwish_275_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.965] failed open dump path: dumps/104_exSwish_275_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.967] dump npy tensor to: dumps/105_Conv_276_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.967] failed open dump path: dumps/105_Conv_276_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.967] failed open dump path: dumps/105_Conv_276_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.970] dump npy tensor to: dumps/106_exSwish_278_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.970] failed open dump path: dumps/106_exSwish_278_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.970] failed open dump path: dumps/106_exSwish_278_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.973] dump npy tensor to: dumps/107_Conv_279_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.973] failed open dump path: dumps/107_Conv_279_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.973] failed open dump path: dumps/107_Conv_279_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.975] dump npy tensor to: dumps/108_exSwish_281_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.976] failed open dump path: dumps/108_exSwish_281_shape_1_64_80_80_float.npy
E RKNN: [02:51:43.976] failed open dump path: dumps/108_exSwish_281_shape_1_64_80_80_to_1_8_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.980] dump npy tensor to: dumps/109_Concat_282_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.980] failed open dump path: dumps/109_Concat_282_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.980] failed open dump path: dumps/109_Concat_282_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.984] dump npy tensor to: dumps/110_Conv_283_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.984] failed open dump path: dumps/110_Conv_283_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.984] failed open dump path: dumps/110_Conv_283_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.990] dump npy tensor to: dumps/111_exSwish_285_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.990] failed open dump path: dumps/111_exSwish_285_shape_1_128_80_80_float.npy
E RKNN: [02:51:43.990] failed open dump path: dumps/111_exSwish_285_shape_1_128_80_80_to_1_16_80_80_8_sa4_int8.tensor
D RKNN: [02:51:43.993] dump npy tensor to: dumps/112_Conv_286_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.993] failed open dump path: dumps/112_Conv_286_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.993] failed open dump path: dumps/112_Conv_286_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.996] dump npy tensor to: dumps/113_exSwish_288_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.996] failed open dump path: dumps/113_exSwish_288_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.997] failed open dump path: dumps/113_exSwish_288_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.000] dump npy tensor to: dumps/114_Concat_289_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.000] failed open dump path: dumps/114_Concat_289_shape_1_256_40_40_float.npy
E RKNN: [02:51:43.000] failed open dump path: dumps/114_Concat_289_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:43.001] dump npy tensor to: dumps/115_Conv_290_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.002] failed open dump path: dumps/115_Conv_290_shape_1_128_40_40_float.npy
E RKNN: [02:51:43.002] failed open dump path: dumps/115_Conv_290_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.004] dump npy tensor to: dumps/116_exSwish_292_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.005] failed open dump path: dumps/116_exSwish_292_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.005] failed open dump path: dumps/116_exSwish_292_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.007] dump npy tensor to: dumps/117_Conv_293_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.007] failed open dump path: dumps/117_Conv_293_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.007] failed open dump path: dumps/117_Conv_293_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.008] dump npy tensor to: dumps/118_exSwish_295_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.009] failed open dump path: dumps/118_exSwish_295_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.009] failed open dump path: dumps/118_exSwish_295_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.011] dump npy tensor to: dumps/119_Conv_296_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.011] failed open dump path: dumps/119_Conv_296_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.011] failed open dump path: dumps/119_Conv_296_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.012] dump npy tensor to: dumps/120_exSwish_298_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.013] failed open dump path: dumps/120_exSwish_298_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.013] failed open dump path: dumps/120_exSwish_298_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.014] dump npy tensor to: dumps/121_Conv_299_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.014] failed open dump path: dumps/121_Conv_299_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.014] failed open dump path: dumps/121_Conv_299_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.016] dump npy tensor to: dumps/122_exSwish_301_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.016] failed open dump path: dumps/122_exSwish_301_shape_1_128_40_40_float.npy
E RKNN: [02:51:44.016] failed open dump path: dumps/122_exSwish_301_shape_1_128_40_40_to_1_16_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.018] dump npy tensor to: dumps/123_Concat_302_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.019] failed open dump path: dumps/123_Concat_302_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.019] failed open dump path: dumps/123_Concat_302_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.021] dump npy tensor to: dumps/124_Conv_303_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.021] failed open dump path: dumps/124_Conv_303_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.021] failed open dump path: dumps/124_Conv_303_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.024] dump npy tensor to: dumps/125_exSwish_305_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.024] failed open dump path: dumps/125_exSwish_305_shape_1_256_40_40_float.npy
E RKNN: [02:51:44.025] failed open dump path: dumps/125_exSwish_305_shape_1_256_40_40_to_1_32_40_40_8_sa4_int8.tensor
D RKNN: [02:51:44.027] dump npy tensor to: dumps/126_Conv_306_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.027] failed open dump path: dumps/126_Conv_306_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.027] failed open dump path: dumps/126_Conv_306_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.028] dump npy tensor to: dumps/127_exSwish_308_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.029] failed open dump path: dumps/127_exSwish_308_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.029] failed open dump path: dumps/127_exSwish_308_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.030] dump npy tensor to: dumps/128_Concat_309_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.030] failed open dump path: dumps/128_Concat_309_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.030] failed open dump path: dumps/128_Concat_309_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.032] dump npy tensor to: dumps/129_Conv_310_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.033] failed open dump path: dumps/129_Conv_310_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.033] failed open dump path: dumps/129_Conv_310_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.034] dump npy tensor to: dumps/130_exSwish_312_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.035] failed open dump path: dumps/130_exSwish_312_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.035] failed open dump path: dumps/130_exSwish_312_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.037] dump npy tensor to: dumps/131_Conv_313_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.037] failed open dump path: dumps/131_Conv_313_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.037] failed open dump path: dumps/131_Conv_313_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.038] dump npy tensor to: dumps/132_exSwish_315_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.038] failed open dump path: dumps/132_exSwish_315_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.038] failed open dump path: dumps/132_exSwish_315_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.040] dump npy tensor to: dumps/133_Conv_316_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.040] failed open dump path: dumps/133_Conv_316_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.040] failed open dump path: dumps/133_Conv_316_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.041] dump npy tensor to: dumps/134_exSwish_318_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.041] failed open dump path: dumps/134_exSwish_318_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.041] failed open dump path: dumps/134_exSwish_318_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.042] dump npy tensor to: dumps/135_Conv_319_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.042] failed open dump path: dumps/135_Conv_319_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.042] failed open dump path: dumps/135_Conv_319_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.043] dump npy tensor to: dumps/136_exSwish_321_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.043] failed open dump path: dumps/136_exSwish_321_shape_1_256_20_20_float.npy
E RKNN: [02:51:44.043] failed open dump path: dumps/136_exSwish_321_shape_1_256_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.044] dump npy tensor to: dumps/137_Concat_322_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.044] failed open dump path: dumps/137_Concat_322_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.044] failed open dump path: dumps/137_Concat_322_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.046] dump npy tensor to: dumps/138_Conv_323_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.046] failed open dump path: dumps/138_Conv_323_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.046] failed open dump path: dumps/138_Conv_323_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.048] dump npy tensor to: dumps/139_exSwish_325_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.048] failed open dump path: dumps/139_exSwish_325_shape_1_512_20_20_float.npy
E RKNN: [02:51:44.048] failed open dump path: dumps/139_exSwish_325_shape_1_512_20_20_to_1_64_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.049] dump npy tensor to: dumps/140_Conv_442_shape_1_255_20_20_float.npy
E RKNN: [02:51:44.049] failed open dump path: dumps/140_Conv_442_shape_1_255_20_20_float.npy
E RKNN: [02:51:44.049] failed open dump path: dumps/140_Conv_442_shape_1_255_20_20_to_1_32_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.050] dump npy tensor to: dumps/141_Reshape_460_shape_1_3_85_20_20_float.npy
E RKNN: [02:51:44.050] failed open dump path: dumps/141_Reshape_460_shape_1_3_85_20_20_float.npy
E RKNN: [02:51:44.050] failed open dump path: dumps/141_Reshape_460_shape_1_3_85_20_20_int8.tensor
D RKNN: [02:51:44.051] dump npy tensor to: dumps/142_Transpose_461_shape_1_3_20_20_85_float.npy
E RKNN: [02:51:44.051] failed open dump path: dumps/142_Transpose_461_shape_1_3_20_20_85_float.npy
E RKNN: [02:51:44.051] failed open dump path: dumps/142_Transpose_461_shape_1_3_20_20_85_to_1_1_20_20_8_sa4_int8.tensor
D RKNN: [02:51:44.051] dump npy tensor to: dumps/143_Sigmoid_462_shape_1_3_20_20_85_float.npy
E RKNN: [02:51:44.051] failed open dump path: dumps/143_Sigmoid_462_shape_1_3_20_20_85_float.npy
E RKNN: [02:51:44.051] failed open dump path: dumps/143_Sigmoid_462_shape_1_3_20_20_85_to_1_1_20_20_8_sa4_int8.tensor
E RKNN: [02:51:44.051] Meet unsupported split
Aborted
firefly@firefly:~/Desktop/rknn_yolov5_demo_Linux$
|
|
