No… I just know about the issue is occurred when I use RNN base model.
For example,
from torchvision import models
vgg = models.vgg19(pretrained = True)
vgg.cuda()
These lines are not problem. They work clearly.
However,
from torch import nn
gru = nn.gru(3, 3, 2)
gru.cuda()
Above code make issue and the problem is in …/torch/nn/modules/rnn.py file
Maybe, this issue is not cause from our environment and/or settings.