TypeError: len() of a 0-d tensor

[Jayashree-Pougajendy]

Hi,
I am facing the foll. issue using the pytorch, torchvision, and PIL versions (because of compatibility requirement with cuda 10.1) as:
torch: 1.4.0
torchvision: 0.5.0
PIL: 5.2.0

Traceback (most recent call last):
File "./main.py", line 186, in
cuda=cuda
File "/home/js/DGR_pytorch/train.py", line 102, in train
collate_fn=collate_fn,
File "/home/js/DGR_pytorch/dgr.py", line 130, in train_with_replay
collate_fn=collate_fn,
File "/home/js/DGR_pytorch/dgr.py", line 205, in _train_batch_trainable_with_replay
callback(trainable, progress, batch_index, result)
File "/home/js/DGR_pytorch/train.py", line 157, in cb
result['g_loss'], 'generator g loss', iteration, env=env
File "/home/js/DGR_pytorch/visual.py", line 87, in visualize_scalar
[name], name, iteration, env=env
File "/home/js/DGR_pytorch/visual.py", line 92, in visualize_scalars
assert len(scalars) == len(names)
File "/home/js/anaconda3/envs/env_con/lib/python3.5/site-packages/torch/tensor.py", line 445, in len
raise TypeError("len() of a 0-d tensor")
TypeError: len() of a 0-d tensor

Kindly suggest an alternative. Thank you.

[luoluo14]

I would like to ask whether the problem has been solved.