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Average training time(sec per epoch): 4.422309637069702 sec |
Average inference time(sec per image): 0.0003255491256713867 sec |
Disk usage: 291.85551 MB |
GPU usage: 1465.632256 MB |
parameters: 21.675473 million |
flops: 94.357443584 giga |
Average training time(sec per epoch): 4.42677628993988 sec |
Average inference time(sec per image): 0.0003348238468170166 sec |
Disk usage: 291.85551 MB |
GPU usage: 2633.930752 MB |
parameters: 147.439993 million |
flops: 297.09796624 giga |
Average training time(sec per epoch): 10.941856145858765 sec |
Average inference time(sec per image): 0.000562000036239624 sec |
Disk usage: 291.85551 MB |
GPU usage: 3833.965056 MB |
parameters: 147.439993 million |
flops: 297.09796624 giga |
Average training time(sec per epoch): 10.907907485961914 sec |
Average inference time(sec per image): 0.0005520853996276856 sec |
Disk usage: 291.85551 MB |
GPU usage: 1601.324544 MB |
parameters: 11.367656 million |
flops: 65.898272048 giga |
Average training time(sec per epoch): 2.57212495803833 sec |
Average inference time(sec per image): 0.00027931547164916995 sec |
Disk usage: 291.85551 MB |
GPU usage: 1695.2704 MB |
parameters: 11.367656 million |
flops: 65.898272048 giga |
Average training time(sec per epoch): 2.5608049631118774 sec |
Average inference time(sec per image): 0.00026536250114440917 sec |
Disk usage: 291.85551 MB |
GPU usage: 4524.869632 MB |
parameters: 24.259816 million |
flops: 138.553949488 giga |
Average training time(sec per epoch): 5.737758278846741 sec |
Average inference time(sec per image): 0.00040333676338195803 sec |
Disk usage: 291.85551 MB |
GPU usage: 4724.506112 MB |
parameters: 24.259816 million |
flops: 138.553949488 giga |
Average training time(sec per epoch): 5.748926281929016 sec |
Average inference time(sec per image): 0.0003998606204986572 sec |
Disk usage: 291.85551 MB |
GPU usage: 519.258112 MB |
parameters: 11.329825 million |
flops: 22.943691136 giga |
Average training time(sec per epoch): 1.587064504623413 sec |
Average inference time(sec per image): 0.00024498629570007325 sec |
Disk usage: 291.85551 MB |
GPU usage: 569.043968 MB |
parameters: 11.329825 million |
flops: 22.943691136 giga |
Average training time(sec per epoch): 1.5886521339416504 sec |
Average inference time(sec per image): 0.00023592567443847656 sec |
Disk usage: 291.85551 MB |
GPU usage: 1594.58304 MB |
parameters: 24.300993 million |
flops: 46.57833472 giga |
Average training time(sec per epoch): 3.5377109050750732 sec |
Average inference time(sec per image): 0.0002586688995361328 sec |
Disk usage: 291.85551 MB |
GPU usage: 1702.048256 MB |
parameters: 24.300993 million |
flops: 46.57833472 giga |
Average training time(sec per epoch): 3.5269908905029297 sec |
Average inference time(sec per image): 0.0002662703990936279 sec |
Disk usage: 291.85551 MB |
GPU usage: 433.273344 MB |
parameters: 15.970449 million |
flops: 255.484547328 giga |
Average training time(sec per epoch): 11.101352214813232 sec |
Average inference time(sec per image): 0.0005262579917907715 sec |
Disk usage: 291.85551 MB |
GPU usage: 300.022272 MB |
parameters: 15.970449 million |
flops: 255.484547328 giga |
Average training time(sec per epoch): 11.047016739845276 sec |
Average inference time(sec per image): 0.0005300285816192627 sec |
Disk usage: 291.85551 MB |
GPU usage: 863.768576 MB |
parameters: 48.985745 million |
flops: 919.057180928 giga |
Average training time(sec per epoch): 26.856025338172913 sec |
Average inference time(sec per image): 0.001310835599899292 sec |
Disk usage: 291.85551 MB |
GPU usage: 731.19744 MB |
parameters: 48.985745 million |
flops: 919.057180928 giga |
Average training time(sec per epoch): 26.798985600471497 sec |
Average inference time(sec per image): 0.0013127362728118897 sec |
Disk usage: 291.85551 MB |
GPU usage: 176.753152 MB |
parameters: 14.328209 million |
flops: 86.37020288 giga |
Average training time(sec per epoch): 3.8768991231918335 sec |
Average inference time(sec per image): 0.00029044246673583983 sec |
Disk usage: 291.85551 MB |
GPU usage: 58.634752 MB |