the training procedure crash when input is list of tensor

[zimenglan-sysu-512]

when train the HAT, i meet this problem

 File "/home/tiger/hand-gestures/3rd/HAT/engine/trainer.py", line 46, in _update
   loss = loss_fn(score, feat, target)
 File "/home/tiger/hand-gestures/3rd/HAT/layers/__init__.py", line 40, in loss_func
   return F.cross_entropy(score, target) + triplet(feat, target)[0]
 File "/home/tiger/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 2468, in cross_entropy
   return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
 File "/home/tiger/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 1605, in log_softmax
   ret = input.log_softmax(dim)
AttributeError: 'list' object has no attribute 'log_softmax'

any idea to solve it?
thanks

[gwenzhang]

The input of F.cross_entropy(score) must be Tensor not list.

[Yarloy]

same question, any solution plz?