deepin-ocr/3rdparty/ncnn/benchmark/nanodet_m.param
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

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Input input.1 0 1 input.1 -23330=4,3,320,320,3 0=320 1=320 2=3
Convolution Conv_0 1 1 input.1 424 -23330=4,3,160,160,24 0=24 1=3 3=2 4=1 5=1 6=648 9=2 -23310=1,1.000000e-01
Pooling MaxPool_2 1 1 424 425 -23330=4,3,80,80,24 1=3 2=2 3=1 5=1
Split splitncnn_0 1 2 425 425_splitncnn_0 425_splitncnn_1 -23330=8,3,80,80,24,3,80,80,24
ConvolutionDepthWise Conv_3 1 1 425_splitncnn_1 943 -23330=4,3,40,40,24 0=24 1=3 3=2 4=1 5=1 6=216 7=24
Convolution Conv_4 1 1 943 430 -23330=4,3,40,40,58 0=58 1=1 5=1 6=1392 9=2 -23310=1,1.000000e-01
Convolution Conv_6 1 1 425_splitncnn_0 433 -23330=4,3,80,80,58 0=58 1=1 5=1 6=1392 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_8 1 1 433 952 -23330=4,3,40,40,58 0=58 1=3 3=2 4=1 5=1 6=522 7=58
Convolution Conv_9 1 1 952 438 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
Concat Concat_11 2 1 430 438 439 -23330=4,3,40,40,116
ShuffleChannel Reshape_16 1 1 439 444 -23330=4,3,40,40,116 0=2
Split splitncnn_1 1 2 444 444_splitncnn_0 444_splitncnn_1 -23330=8,3,40,40,116,3,40,40,116
Crop Slice_27 1 1 444_splitncnn_1 455 -23330=4,3,40,40,58 -23309=1,0 -23310=1,58 -23311=1,0
Crop Slice_30 1 1 444_splitncnn_0 458 -23330=4,3,40,40,58 -23309=1,58 -23310=1,116 -23311=1,0
Convolution Conv_31 1 1 458 461 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_33 1 1 461 961 -23330=4,3,40,40,58 0=58 1=3 4=1 5=1 6=522 7=58
Convolution Conv_34 1 1 961 466 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
Concat Concat_36 2 1 455 466 467 -23330=4,3,40,40,116
ShuffleChannel Reshape_41 1 1 467 472 -23330=4,3,40,40,116 0=2
Split splitncnn_2 1 2 472 472_splitncnn_0 472_splitncnn_1 -23330=8,3,40,40,116,3,40,40,116
Crop Slice_52 1 1 472_splitncnn_1 483 -23330=4,3,40,40,58 -23309=1,0 -23310=1,58 -23311=1,0
Crop Slice_55 1 1 472_splitncnn_0 486 -23330=4,3,40,40,58 -23309=1,58 -23310=1,116 -23311=1,0
Convolution Conv_56 1 1 486 489 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_58 1 1 489 970 -23330=4,3,40,40,58 0=58 1=3 4=1 5=1 6=522 7=58
Convolution Conv_59 1 1 970 494 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
Concat Concat_61 2 1 483 494 495 -23330=4,3,40,40,116
ShuffleChannel Reshape_66 1 1 495 500 -23330=4,3,40,40,116 0=2
Split splitncnn_3 1 2 500 500_splitncnn_0 500_splitncnn_1 -23330=8,3,40,40,116,3,40,40,116
Crop Slice_77 1 1 500_splitncnn_1 511 -23330=4,3,40,40,58 -23309=1,0 -23310=1,58 -23311=1,0
Crop Slice_80 1 1 500_splitncnn_0 514 -23330=4,3,40,40,58 -23309=1,58 -23310=1,116 -23311=1,0
Convolution Conv_81 1 1 514 517 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_83 1 1 517 979 -23330=4,3,40,40,58 0=58 1=3 4=1 5=1 6=522 7=58
Convolution Conv_84 1 1 979 522 -23330=4,3,40,40,58 0=58 1=1 5=1 6=3364 9=2 -23310=1,1.000000e-01
Concat Concat_86 2 1 511 522 523 -23330=4,3,40,40,116
ShuffleChannel Reshape_91 1 1 523 528 -23330=4,3,40,40,116 0=2
Split splitncnn_4 1 3 528 528_splitncnn_0 528_splitncnn_1 528_splitncnn_2 -23330=12,3,40,40,116,3,40,40,116,3,40,40,116
ConvolutionDepthWise Conv_92 1 1 528_splitncnn_2 985 -23330=4,3,20,20,116 0=116 1=3 3=2 4=1 5=1 6=1044 7=116
Convolution Conv_93 1 1 985 533 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Convolution Conv_95 1 1 528_splitncnn_1 536 -23330=4,3,40,40,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_97 1 1 536 994 -23330=4,3,20,20,116 0=116 1=3 3=2 4=1 5=1 6=1044 7=116
Convolution Conv_98 1 1 994 541 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_100 2 1 533 541 542 -23330=4,3,20,20,232
ShuffleChannel Reshape_105 1 1 542 547 -23330=4,3,20,20,232 0=2
Split splitncnn_5 1 2 547 547_splitncnn_0 547_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_116 1 1 547_splitncnn_1 558 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_119 1 1 547_splitncnn_0 561 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_120 1 1 561 564 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_122 1 1 564 1003 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_123 1 1 1003 569 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_125 2 1 558 569 570 -23330=4,3,20,20,232
ShuffleChannel Reshape_130 1 1 570 575 -23330=4,3,20,20,232 0=2
Split splitncnn_6 1 2 575 575_splitncnn_0 575_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_141 1 1 575_splitncnn_1 586 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_144 1 1 575_splitncnn_0 589 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_145 1 1 589 592 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_147 1 1 592 1012 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_148 1 1 1012 597 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_150 2 1 586 597 598 -23330=4,3,20,20,232
ShuffleChannel Reshape_155 1 1 598 603 -23330=4,3,20,20,232 0=2
Split splitncnn_7 1 2 603 603_splitncnn_0 603_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_166 1 1 603_splitncnn_1 614 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_169 1 1 603_splitncnn_0 617 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_170 1 1 617 620 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_172 1 1 620 1021 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_173 1 1 1021 625 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_175 2 1 614 625 626 -23330=4,3,20,20,232
ShuffleChannel Reshape_180 1 1 626 631 -23330=4,3,20,20,232 0=2
Split splitncnn_8 1 2 631 631_splitncnn_0 631_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_191 1 1 631_splitncnn_1 642 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_194 1 1 631_splitncnn_0 645 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_195 1 1 645 648 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_197 1 1 648 1030 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_198 1 1 1030 653 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_200 2 1 642 653 654 -23330=4,3,20,20,232
ShuffleChannel Reshape_205 1 1 654 659 -23330=4,3,20,20,232 0=2
Split splitncnn_9 1 2 659 659_splitncnn_0 659_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_216 1 1 659_splitncnn_1 670 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_219 1 1 659_splitncnn_0 673 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_220 1 1 673 676 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_222 1 1 676 1039 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_223 1 1 1039 681 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_225 2 1 670 681 682 -23330=4,3,20,20,232
ShuffleChannel Reshape_230 1 1 682 687 -23330=4,3,20,20,232 0=2
Split splitncnn_10 1 2 687 687_splitncnn_0 687_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_241 1 1 687_splitncnn_1 698 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_244 1 1 687_splitncnn_0 701 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_245 1 1 701 704 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_247 1 1 704 1048 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_248 1 1 1048 709 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_250 2 1 698 709 710 -23330=4,3,20,20,232
ShuffleChannel Reshape_255 1 1 710 715 -23330=4,3,20,20,232 0=2
Split splitncnn_11 1 2 715 715_splitncnn_0 715_splitncnn_1 -23330=8,3,20,20,232,3,20,20,232
Crop Slice_266 1 1 715_splitncnn_1 726 -23330=4,3,20,20,116 -23309=1,0 -23310=1,116 -23311=1,0
Crop Slice_269 1 1 715_splitncnn_0 729 -23330=4,3,20,20,116 -23309=1,116 -23310=1,232 -23311=1,0
Convolution Conv_270 1 1 729 732 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_272 1 1 732 1057 -23330=4,3,20,20,116 0=116 1=3 4=1 5=1 6=1044 7=116
Convolution Conv_273 1 1 1057 737 -23330=4,3,20,20,116 0=116 1=1 5=1 6=13456 9=2 -23310=1,1.000000e-01
Concat Concat_275 2 1 726 737 738 -23330=4,3,20,20,232
ShuffleChannel Reshape_280 1 1 738 743 -23330=4,3,20,20,232 0=2
Split splitncnn_12 1 3 743 743_splitncnn_0 743_splitncnn_1 743_splitncnn_2 -23330=12,3,20,20,232,3,20,20,232,3,20,20,232
ConvolutionDepthWise Conv_281 1 1 743_splitncnn_2 1063 -23330=4,3,10,10,232 0=232 1=3 3=2 4=1 5=1 6=2088 7=232
Convolution Conv_282 1 1 1063 748 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
Convolution Conv_284 1 1 743_splitncnn_1 751 -23330=4,3,20,20,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_286 1 1 751 1072 -23330=4,3,10,10,232 0=232 1=3 3=2 4=1 5=1 6=2088 7=232
Convolution Conv_287 1 1 1072 756 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
Concat Concat_289 2 1 748 756 757 -23330=4,3,10,10,464
ShuffleChannel Reshape_294 1 1 757 762 -23330=4,3,10,10,464 0=2
Split splitncnn_13 1 2 762 762_splitncnn_0 762_splitncnn_1 -23330=8,3,10,10,464,3,10,10,464
Crop Slice_305 1 1 762_splitncnn_1 773 -23330=4,3,10,10,232 -23309=1,0 -23310=1,232 -23311=1,0
Crop Slice_308 1 1 762_splitncnn_0 776 -23330=4,3,10,10,232 -23309=1,232 -23310=1,464 -23311=1,0
Convolution Conv_309 1 1 776 779 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_311 1 1 779 1081 -23330=4,3,10,10,232 0=232 1=3 4=1 5=1 6=2088 7=232
Convolution Conv_312 1 1 1081 784 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
Concat Concat_314 2 1 773 784 785 -23330=4,3,10,10,464
ShuffleChannel Reshape_319 1 1 785 790 -23330=4,3,10,10,464 0=2
Split splitncnn_14 1 2 790 790_splitncnn_0 790_splitncnn_1 -23330=8,3,10,10,464,3,10,10,464
Crop Slice_330 1 1 790_splitncnn_1 801 -23330=4,3,10,10,232 -23309=1,0 -23310=1,232 -23311=1,0
Crop Slice_333 1 1 790_splitncnn_0 804 -23330=4,3,10,10,232 -23309=1,232 -23310=1,464 -23311=1,0
Convolution Conv_334 1 1 804 807 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_336 1 1 807 1090 -23330=4,3,10,10,232 0=232 1=3 4=1 5=1 6=2088 7=232
Convolution Conv_337 1 1 1090 812 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
Concat Concat_339 2 1 801 812 813 -23330=4,3,10,10,464
ShuffleChannel Reshape_344 1 1 813 818 -23330=4,3,10,10,464 0=2
Split splitncnn_15 1 2 818 818_splitncnn_0 818_splitncnn_1 -23330=8,3,10,10,464,3,10,10,464
Crop Slice_355 1 1 818_splitncnn_1 829 -23330=4,3,10,10,232 -23309=1,0 -23310=1,232 -23311=1,0
Crop Slice_358 1 1 818_splitncnn_0 832 -23330=4,3,10,10,232 -23309=1,232 -23310=1,464 -23311=1,0
Convolution Conv_359 1 1 832 835 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_361 1 1 835 1099 -23330=4,3,10,10,232 0=232 1=3 4=1 5=1 6=2088 7=232
Convolution Conv_362 1 1 1099 840 -23330=4,3,10,10,232 0=232 1=1 5=1 6=53824 9=2 -23310=1,1.000000e-01
Concat Concat_364 2 1 829 840 841 -23330=4,3,10,10,464
ShuffleChannel Reshape_369 1 1 841 846 -23330=4,3,10,10,464 0=2
Convolution Conv_370 1 1 528_splitncnn_0 847 -23330=4,3,40,40,96 0=96 1=1 5=1 6=11136
Convolution Conv_371 1 1 743_splitncnn_0 848 -23330=4,3,20,20,96 0=96 1=1 5=1 6=22272
Convolution Conv_372 1 1 846 849 -23330=4,3,10,10,96 0=96 1=1 5=1 6=44544
Split splitncnn_16 1 2 849 849_splitncnn_0 849_splitncnn_1 -23330=8,3,10,10,96,3,10,10,96
Interp Resize_374 1 1 849_splitncnn_1 854 -23330=4,3,20,20,96 0=2 1=2.000000e+00 2=2.000000e+00
BinaryOp Add_375 2 1 848 854 855 -23330=4,3,20,20,96
Split splitncnn_17 1 2 855 855_splitncnn_0 855_splitncnn_1 -23330=8,3,20,20,96,3,20,20,96
Interp Resize_377 1 1 855_splitncnn_1 860 -23330=4,3,40,40,96 0=2 1=2.000000e+00 2=2.000000e+00
BinaryOp Add_378 2 1 847 860 861 -23330=4,3,40,40,96
Split splitncnn_18 1 2 861 861_splitncnn_0 861_splitncnn_1 -23330=8,3,40,40,96,3,40,40,96
Interp Resize_380 1 1 861_splitncnn_1 866 -23330=4,3,20,20,96 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Add_381 2 1 855_splitncnn_0 866 867 -23330=4,3,20,20,96
Split splitncnn_19 1 2 867 867_splitncnn_0 867_splitncnn_1 -23330=8,3,20,20,96,3,20,20,96
Interp Resize_383 1 1 867_splitncnn_1 872 -23330=4,3,10,10,96 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Add_384 2 1 849_splitncnn_0 872 873 -23330=4,3,10,10,96
ConvolutionDepthWise Conv_385 1 1 861_splitncnn_0 876 -23330=4,3,40,40,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_387 1 1 876 879 -23330=4,3,40,40,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_389 1 1 879 882 -23330=4,3,40,40,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_391 1 1 882 885 -23330=4,3,40,40,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
Convolution Conv_393 1 1 885 886 -23330=4,3,40,40,112 0=112 1=1 5=1 6=10752
Slice Split_394 1 2 886 887 888 -23330=8,3,40,40,80,3,40,40,32 -23300=2,80,-233
Sigmoid Sigmoid_395 1 1 887 889 -23330=4,3,40,40,80
Reshape Reshape_397 1 1 889 891 -23330=4,2,1600,80,1 0=-1 1=80
Permute Transpose_398 1 1 891 cls_pred_stride_8 -23330=4,2,80,1600,1 0=1
Reshape Reshape_400 1 1 888 894 -23330=4,2,1600,32,1 0=-1 1=32
Permute Transpose_401 1 1 894 dis_pred_stride_8 -23330=4,2,32,1600,1 0=1
ConvolutionDepthWise Conv_402 1 1 867_splitncnn_0 898 -23330=4,3,20,20,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_404 1 1 898 901 -23330=4,3,20,20,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_406 1 1 901 904 -23330=4,3,20,20,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_408 1 1 904 907 -23330=4,3,20,20,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
Convolution Conv_410 1 1 907 908 -23330=4,3,20,20,112 0=112 1=1 5=1 6=10752
Slice Split_411 1 2 908 909 910 -23330=8,3,20,20,80,3,20,20,32 -23300=2,80,-233
Sigmoid Sigmoid_412 1 1 909 911 -23330=4,3,20,20,80
Reshape Reshape_414 1 1 911 913 -23330=4,2,400,80,1 0=-1 1=80
Permute Transpose_415 1 1 913 cls_pred_stride_16 -23330=4,2,80,400,1 0=1
Reshape Reshape_417 1 1 910 916 -23330=4,2,400,32,1 0=-1 1=32
Permute Transpose_418 1 1 916 dis_pred_stride_16 -23330=4,2,32,400,1 0=1
ConvolutionDepthWise Conv_419 1 1 873 920 -23330=4,3,10,10,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_421 1 1 920 923 -23330=4,3,10,10,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_423 1 1 923 926 -23330=4,3,10,10,96 0=96 1=3 4=1 5=1 6=864 7=96 9=2 -23310=1,1.000000e-01
Convolution Conv_425 1 1 926 929 -23330=4,3,10,10,96 0=96 1=1 5=1 6=9216 9=2 -23310=1,1.000000e-01
Convolution Conv_427 1 1 929 930 -23330=4,3,10,10,112 0=112 1=1 5=1 6=10752
Slice Split_428 1 2 930 931 932 -23330=8,3,10,10,80,3,10,10,32 -23300=2,80,-233
Sigmoid Sigmoid_429 1 1 931 933 -23330=4,3,10,10,80
Reshape Reshape_431 1 1 933 935 -23330=4,2,100,80,1 0=-1 1=80
Permute Transpose_432 1 1 935 cls_pred_stride_32 -23330=4,2,80,100,1 0=1
Reshape Reshape_434 1 1 932 938 -23330=4,2,100,32,1 0=-1 1=32
Permute Transpose_435 1 1 938 dis_pred_stride_32 -23330=4,2,32,100,1 0=1
Noop Output 6 1 cls_pred_stride_8 cls_pred_stride_16 cls_pred_stride_32 dis_pred_stride_8 dis_pred_stride_16 dis_pred_stride_32 output