when I  train tsn-pytorch 7 use the following command:
python main.py ucf101 RGB /home/xu/Datasets/ucfTrainTestlist/trainlist01.txt /home/xu/Datasets/ucfTrainTestlist/testlist01.txt --arch BNInception --num_segments 3 --gd 20 --lr 0.001 --lr_steps 30 60 --epochs 80 -b 16 -j 2 --dropout 0.8 --snapshot_pref ucf101_bninception_

however, it show:
Initializing TSN with base model: BNInception.
TSN Configurations:
    input_modality:     RGB
    num_segments:       3
    new_length:         1
    consensus_module:   avg
    dropout_ratio:      0.8
        
Traceback (most recent call last):
  File "main.py", line 301, in <module>
    main()
  File "main.py", line 35, in main
    consensus_type=args.consensus_type, dropout=args.dropout, partial_bn=not args.no_partialbn)
  File "/home/xu/HAR/project/TSN/tsn-pytorch/models.py", line 39, in __init__
    self._prepare_base_model(base_model)
  File "/home/xu/HAR/project/TSN/tsn-pytorch/models.py", line 96, in _prepare_base_model
    self.base_model = getattr(tf_model_zoo, base_model)()
  File "/home/xu/HAR/project/TSN/tsn-pytorch/tf_model_zoo/bninception/pytorch_load.py", line 35, in __init__
    self.load_state_dict(torch.utils.model_zoo.load_url(weight_url))
  File "/home/xu/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 719, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for BNInception:
	size mismatch for conv1_7x7_s2_bn.weight: copying a param of torch.Size([64]) from checkpoint, where the shape is torch.Size([1, 64]) in current model.
	size mismatch for conv1_7x7_s2_bn.bias: copying a param of torch.Size([64]) from checkpoint, where the shape is torch.Size([1, 64]) in current model.
	size mismatch for conv1_7x7_s2_bn.running_mean: copying a param of torch.Size([64]) from checkpoint, where the shape is torch.Size([1, 64]) in current model.
	size mismatch for conv1_7x7_s2_bn.running_var: copying a param of torch.Size([64]) from checkpoint, where the shape is torch.Size([1, 64]) in current model.


...

size mismatch for inception_5b_pool_proj_bn.running_var: copying a param of torch.Size([128]) from checkpoint, where the shape is torch.Size([1, 128]) in current model.

I need help with this.help is appreciated
Regards