Description
Describe the bug
A clear and concise description of what the bug is.
The bug occurs when I use the official script for training:
D:\USERS\PYTHONPROJECT\pytorch-image-models-main> python train.py --data-dir dataset/transfires --epochs 50 --batch-size 64 --input-size 3 224 224 --opt adamw --lr 1e-3
--num-classes 2 --model resnet50
Training with a single process on 1 device (cuda).
Model resnet50 created, param count:23512130
Data processing configuration for current model + dataset:
input_size: (3, 224, 224)
interpolation: bicubic
mean: (0.485, 0.456, 0.406)
std: (0.229, 0.224, 0.225)
crop_pct: 0.95
crop_mode: center
Created AdamW (adamw) optimizer: lr: 0.001, betas: (0.9, 0.999), eps: 1e-08, weight_decay: 2e-05, amsgrad: False, foreach: None, maximize: False, capturable: False, differentiable: Fal
se, fused: None
AMP not enabled. Training in torch.float32.
Traceback (most recent call last):
File "D:\USERS\PYTHONPROJECT\pytorch-image-models-main\train.py", line 1235, in
main()
File "D:\USERS\PYTHONPROJECT\pytorch-image-models-main\train.py", line 762, in main
batch_size=args.validation_batch_size or args.batch_size,
AttributeError: 'Namespace' object has no attribute 'validation_batch_size'