benchmark
848d8dfd - Fix timm_nfnet train batch size and improve the entire model quality (#585)

Commit
4 years ago
Fix timm_nfnet train batch size and improve the entire model quality (#585) Summary: # Train batch size: 128 Source - https://github.com/rwightman/pytorch-image-models/blob/master/train.py#L114 - https://gist.github.com/rwightman/bb59f9e245162cee0e38bd66bd8cd77f#file-bench_by_train-csv-L147 ## Latency GPU Time: 2767.694 milliseconds CPU Dispatch Time: 2767.542 milliseconds CPU Total Wall Time: 2767.665 milliseconds ## Profile ![image](https://user-images.githubusercontent.com/502017/143452511-fd481ec2-6e0d-4049-99b1-2c3a2db280c2.png) # Eval batch size: 256 - source: https://github.com/rwightman/pytorch-image-models/blob/master/results/model_benchmark_amp_nchw_rtx3090.csv ## Latency GPU Time: 2209.692 milliseconds CPU Dispatch Time: 15.806 milliseconds CPU Total Wall Time: 2209.685 milliseconds ## Profile ![image](https://user-images.githubusercontent.com/502017/143452419-10eb97c6-3753-42f7-972a-263f838fb5cc.png) Pull Request resolved: https://github.com/pytorch/benchmark/pull/585 Reviewed By: aaronenyeshi Differential Revision: D33023646 Pulled By: xuzhao9 fbshipit-source-id: a62a408659a2c88ba46a503b7cea8c7baba616c2
Author
Parents
Loading