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Disk usage: 291.85551 MB |
GPU usage: 836.107264 MB |
parameters: 12.329297 million |
flops: 72.992020352 giga |
Average training time(sec per epoch): 2.8625622987747192 sec |
Average inference time(sec per image): 0.00027075886726379394 sec |
Disk usage: 291.85551 MB |
GPU usage: 938.100224 MB |
parameters: 12.329297 million |
flops: 72.992020352 giga |
Average training time(sec per epoch): 2.8642895221710205 sec |
Average inference time(sec per image): 0.00027367734909057616 sec |
Disk usage: 291.85551 MB |
GPU usage: 2463.674368 MB |
parameters: 26.677585 million |
flops: 146.245189504 giga |
Average training time(sec per epoch): 5.537233948707581 sec |
Average inference time(sec per image): 0.00036159849166870117 sec |
Disk usage: 291.85551 MB |
GPU usage: 2682.61376 MB |
parameters: 26.677585 million |
flops: 146.245189504 giga |
Average training time(sec per epoch): 5.551816821098328 sec |
Average inference time(sec per image): 0.00036949896812438963 sec |
Disk usage: 291.85551 MB |
GPU usage: 587.71968 MB |
parameters: 15.898945 million |
flops: 267.685268992 giga |
Average training time(sec per epoch): 7.123336315155029 sec |
Average inference time(sec per image): 0.00037115955352783205 sec |
Disk usage: 291.85551 MB |
GPU usage: 719.7056 MB |
parameters: 15.898945 million |
flops: 267.685268992 giga |
Average training time(sec per epoch): 7.126211762428284 sec |
Average inference time(sec per image): 0.00037951302528381345 sec |
Disk usage: 291.85551 MB |
GPU usage: 1870.590976 MB |
parameters: 39.633729 million |
flops: 654.234072576 giga |
Average training time(sec per epoch): 17.54342234134674 sec |
Average inference time(sec per image): 0.0007284979820251465 sec |
Disk usage: 291.85551 MB |
GPU usage: 2194.746368 MB |
parameters: 39.633729 million |
flops: 654.234072576 giga |
Average training time(sec per epoch): 17.580630779266357 sec |
Average inference time(sec per image): 0.0007264120578765869 sec |
Disk usage: 291.85551 MB |
GPU usage: 665.578496 MB |
parameters: 13.047233 million |
flops: 71.04873728 giga |
Average training time(sec per epoch): 2.8606486320495605 sec |
Average inference time(sec per image): 0.0002834341526031494 sec |
Disk usage: 291.85551 MB |
GPU usage: 553.147392 MB |
parameters: 13.047233 million |
flops: 71.04873728 giga |
Average training time(sec per epoch): 2.8632707595825195 sec |
Average inference time(sec per image): 0.00028951406478881835 sec |
Disk usage: 291.85551 MB |
GPU usage: 1385.575936 MB |
parameters: 26.116033 million |
flops: 124.601784832 giga |
Average training time(sec per epoch): 4.876534461975098 sec |
Average inference time(sec per image): 0.0003526771068572998 sec |
Disk usage: 291.85551 MB |
GPU usage: 1169.973248 MB |
parameters: 26.116033 million |
flops: 124.601784832 giga |
Average training time(sec per epoch): 4.864893078804016 sec |
Average inference time(sec per image): 0.00035627126693725585 sec |
Disk usage: 291.85551 MB |
GPU usage: 1038.621696 MB |
parameters: 11.663777 million |
flops: 48.293787392 giga |
Average training time(sec per epoch): 3.017247796058655 sec |
Average inference time(sec per image): 0.00029366254806518556 sec |
Disk usage: 291.85551 MB |
GPU usage: 1134.654976 MB |
parameters: 11.663777 million |
flops: 48.293787392 giga |
Average training time(sec per epoch): 3.026169538497925 sec |
Average inference time(sec per image): 0.0002877237796783447 sec |
Disk usage: 291.85551 MB |
GPU usage: 1655.121408 MB |
parameters: 31.177777 million |
flops: 171.126797824 giga |
Average training time(sec per epoch): 5.993342638015747 sec |
Average inference time(sec per image): 0.0004005117416381836 sec |
Disk usage: 291.85551 MB |
GPU usage: 1912.974848 MB |
parameters: 31.177777 million |
flops: 171.126797824 giga |
Average training time(sec per epoch): 5.96143114566803 sec |
Average inference time(sec per image): 0.0005089683532714844 sec |
Disk usage: 291.85551 MB |
GPU usage: 1269.830144 MB |
parameters: 21.675473 million |
flops: 94.357443584 giga |