InfoGAN can not run because of the pytorch version problem

[Sun-Happy-YKX]

/home/yangkaixing/miniconda3/envs/GASDA/lib/python3.6/site-packages/torch/nn/functional.py:1806: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
Traceback (most recent call last):
File "main.py", line 112, in
main()
File "main.py", line 104, in main
gan.train()
File "/data/yangkaixing/Generative_Model_Collections/infoGAN.py", line 230, in train
info_loss.backward()
File "/home/yangkaixing/miniconda3/envs/GASDA/lib/python3.6/site-packages/torch/_tensor.py", line 307, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
File "/home/yangkaixing/miniconda3/envs/GASDA/lib/python3.6/site-packages/torch/autograd/init.py", line 156, in backward
allow_unreachable=True, accumulate_grad=True) # allow_unreachable flag
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [64, 3, 4, 4]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

[gnlup]

Have you solved it yet? I have come across the same question.