Closed jiujiuwei closed 8 months ago
The training commands for l2-r288 and l2-r384 are attached below:
torchpack dist-run -np 16 -H $server1:8,$server2:8 \
python train_cls_model.py configs/cls/imagenet/l2.yaml --fp16 \
--data_provider.image_size "[128,160,192,224,256,288]" \
--run_config.eval_image_size "[288]" \
--path .exp/cls/imagenet/l2_r288/
torchpack dist-run -np 16 -H $server1:8,$server2:8 \
python train_cls_model.py configs/cls/imagenet/l2.yaml --fp16 \
--data_provider.image_size "[128,160,192,224,256,288,320,352,384]" \
--run_config.eval_image_size "[384]" \
--path .exp/cls/imagenet/l2_r384/
Please show train cls model yaml of l2 r288 and l2 r384 Thanks