| LOGNAME="LOGNAME" | |
| CONFIG='./configs/r50.json' | |
| DATA_DIR='data' | |
| DATASET_NAME='SD3' | |
| RESULTS_DIR='./results' | |
| HOST='127.0.0.1' | |
| PORT='12145' | |
| NUM_GPU=3 | |
| # CUDA_VISIBLE_DEVICES=1,2 \ | |
| python train.py \ | |
| --log_name ${LOGNAME} \ | |
| --cfg ${CONFIG} \ | |
| --data_dir ${DATA_DIR} \ | |
| --dataset_name ${DATASET_NAME} \ | |
| --val_epoch 2 \ | |
| --model_save_epoch 2 \ | |
| --manual_seed 10371115 \ | |
| --dist-url tcp://${HOST}:${PORT} \ | |
| --world_size $NUM_GPU \ | |
| --rank 0 \ | |
| --launcher pytorch \ | |
| --results_dir ${RESULTS_DIR} \ | |
| --tag "tag_name" \ | |
| # --resume ./results/resnet50/SD3/with_CLIP_Text_Encoder/seqfakeformer_with_CLIPTextEncoder_2/snapshots/model-42.pt | |
| # --resume ./results/resnet50/SD3/pretrained-r50-c_dim512_finetuned/seqfakeformer_finetuned/snapshots/model-104.pt |