I have similar problem,but the error is a  little different,my pytorch edition is 1.1.0
the error is as follows:
Traceback (most recent call last):
Traceback (most recent call last):
File “D:/Git/demo/tsn-pytorch/main.py”, line 301, in 
main()
File “D:/Git/demo/tsn-pytorch/main.py”, line 35, in main
consensus_type=args.consensus_type, dropout=args.dropout, partial_bn=not args.no_partialbn)
File “D:\Git\demo\tsn-pytorch\models.py”, line 39, in init
self._prepare_base_model(base_model)
File “D:\Git\demo\tsn-pytorch\models.py”, line 96, in _prepare_base_model
self.base_model = getattr(tf_model_zoo, base_model)()
File “D:\Git\demo\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 “D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py”, line 777, 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 with shape torch.Size([1, 64]) from checkpoint, the shape in current model is torch.Size([64]).
size mismatch for conv1_7x7_s2_bn.bias: copying a param with shape torch.Size([1, 64]) from checkpoint, the shape in current model is torch.Size([64]).
size mismatch for conv1_7x7_s2_bn.running_mean: copying a param with shape torch.Size([1, 64]) from checkpoint, the shape in current model is torch.Size([64]).
size mismatch for conv1_7x7_s2_bn.running_var: copying a param with shape torch.Size([1, 64]) from checkpoint, the shape in current model is torch.Size([64]).
can you help me?Many thanks!