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sh example.sh ==> Preparing data.. ==> Conv Type: BlockL1Conv ==> BN Type: LearnedBatchNorm Traceback (most recent call last): File "imagenet.py", line 452, in main() File "imagenet.py", line 279, in main model, pr_cfg = get_model(args) File "imagenet.py", line 240, in get_model fc_weight = ckpt['state_dict']['classifier.0.weight'] KeyError: 'state_dict'
The text was updated successfully, but these errors were encountered:
Please use our provided pre-trained models and change the --pretrain_model to the corresponding path. The pre-trained models can be downloaded at MobileNet-V1, MobileNet-V2, MobileNet-V3-Large, MobileNet-V3-Small and ResNet-50.
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sh example.sh
==> Preparing data..
==> Conv Type: BlockL1Conv
==> BN Type: LearnedBatchNorm
Traceback (most recent call last):
File "imagenet.py", line 452, in
main()
File "imagenet.py", line 279, in main
model, pr_cfg = get_model(args)
File "imagenet.py", line 240, in get_model
fc_weight = ckpt['state_dict']['classifier.0.weight']
KeyError: 'state_dict'
The text was updated successfully, but these errors were encountered: