Spectral Convolutional Transformer (SCT) Hierarchical Model

Requirement:

• PyTorch 1.10.0+
• Python3.8
• CUDA 10.1+
• timm==0.4.5
• tlt==0.1.0
• pyyaml
• apex-amp

Train SCT small model

python3 -m torch.distributed.launch \
   --nproc_per_node=8 \
   --nnodes=1 \
   --node_rank=0 \
   --master_addr="localhost" \
   --master_port=12346 \
   --use_env main.py --config configs/sct/sct_s.py --data-path /export/home/dataset/imagenet --epochs 310 --batch-size 128 \
   --token-label --token-label-size 7 --token-label-data /export/home/dataset/imagenet/label_top5_train_nfnet

Train SCT Base model

python3 -m torch.distributed.launch \
   --nproc_per_node=8 \
   --nnodes=1 \
   --node_rank=0 \
   --master_addr="localhost" \
   --master_port=12346 \
   --use_env main.py --config configs/sct/sct_b.py --data-path /export/home/dataset/imagenet --epochs 310 --batch-size 128 \
   --token-label --token-label-size 7 --token-label-data /export/home/dataset/imagenet/label_top5_train_nfnet

Train SCT Large model

python3 -m torch.distributed.launch \
   --nproc_per_node=8 \
   --nnodes=1 \
   --node_rank=0 \
   --master_addr="localhost" \
   --master_port=12346 \
   --use_env main.py --config configs/sct/sct_l.py --data-path /export/home/dataset/imagenet --epochs 310 --batch-size 128 \
   --token-label --token-label-size 7 --token-label-data /export/home/dataset/imagenet/label_top5_train_nfnet