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标题: 3568J运行模型.rknn模型出错："Meet unsupported split" [打印本页]

作者: lanboo 时间: 2022-7-6 13:22
标题: 3568J运行模型.rknn模型出错："Meet unsupported split"
3568J运行模型.rknn模型出错，在PC ubuntu虚拟机上是由模拟器可以正常运行，编译后导入AIO-3568J主板提示如下错误：
即，“Meet unsupported split”

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作者: Liuth 时间: 2022-7-6 16:59
我这边测试没问题，是不是你没有执行
export LD_LIBRARY_PATH=./lib

作者: lanboo 时间: 2022-7-6 17:09

Liuth 发表于 2022-7-6 16:59
我这边测试没问题，是不是你没有执行
export LD_LIBRARY_PATH=./lib

我用的不是你们的模型，是我们自己的转换后，在模拟器上能跑，在主板上不行，你们的demo 我测试也没问题

作者: Liuth 时间: 2022-7-7 10:05
你们自己的模型也需要 export LD_LIBRARY_PATH=./lib
编译环境使用的动态库，运行环境肯定也需要使用相同的

作者: lanboo 时间: 2022-7-7 10:30

Liuth 发表于 2022-7-7 10:05
你们自己的模型也需要 export LD_LIBRARY_PATH=./lib
编译环境使用的动态库，运行环境肯定也需要使用相同 ...

我们已经export 了还是不行
这是yolo 官网的模型我们转换后的rknn 你可以试下，提示说的是不支持 split 不是什么库没导入
你问问你们深度学习的技术，是不支持这个算子？

作者: lanboo 时间: 2022-7-7 10:44

lanboo 发表于 2022-7-7 10:30
我们已经export 了还是不行
这是yolo 官网的模型我们转换后的rknn 你可以试下，提示说的是不支持 split ...

那个是你们动态库里面报的错误

作者: lanboo 时间: 2022-7-7 11:02

Liuth 发表于 2022-7-6 16:59
我这边测试没问题，是不是你没有执行
export LD_LIBRARY_PATH=./lib

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
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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
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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
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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
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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$

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日志

作者: Liuth 时间: 2022-7-7 15:41
RK_NPU_SDK_1.3.0/rknn-toolkit2-1.3.0/examples/onnx/yolov5/yolov5s.onnx
这个模型就是从yolov5官方导出的，我转换后模拟器，真机测试都没问题呀

作者: lanboo 时间: 2022-7-7 16:01

Liuth 发表于 2022-7-7 15:41
RK_NPU_SDK_1.3.0/rknn-toolkit2-1.3.0/examples/onnx/yolov5/yolov5s.onnx
这个模型就是从yolov5官方导出 ...

方便留一个邮箱么，我邮箱发你我的demo

作者: Liuth 时间: 2022-7-7 16:41
先试8楼那个demo，如果没问题，就可能是你的转换过程有问题，对照demo排查

作者: lanboo 时间: 2022-7-7 17:16

Liuth 发表于 2022-7-7 16:41
先试8楼那个demo，如果没问题，就可能是你的转换过程有问题，对照demo排查

8楼试了没问题

作者: lanboo 时间: 2022-7-7 17:19

Liuth 发表于 2022-7-7 16:41
先试8楼那个demo，如果没问题，就可能是你的转换过程有问题，对照demo排查

和驱动版本有关系么

作者: Liuth 时间: 2022-7-7 17:32
8楼的可以，那就对比你demo的转换程序和8楼的哪里不一样

作者: lanboo 时间: 2022-7-8 16:22

Liuth 发表于 2022-7-7 17:32
8楼的可以，那就对比你demo的转换程序和8楼的哪里不一样

解决了，这个问题是因为输出节点没有设置(原demo 设置了，转换自己的demo 时去掉了)，所以输出节点不对

作者: tony_china_sz 时间: 2022-8-16 14:27

lanboo 发表于 2022-7-8 16:22
解决了，这个问题是因为输出节点没有设置(原demo 设置了，转换自己的demo 时去掉了)，所以输出节点不对

我也碰见了这个meet unsupported split错误，请问怎么设置输出节点的？

作者: lanboo 时间: 2022-8-23 15:37

tony_china_sz 发表于 2022-8-16 14:27
我也碰见了这个meet unsupported split错误，请问怎么设置输出节点的？

这个我也不咋会，问的搞机器学习的人，就是你看你最后输出的节点那个Reshape
[attach]9631[/attach]

你使用 https://netron.app/ 这个网站先看看官方的模型，然后照着改，goodluck

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