Traceback (most recent call last):
File "trainer.py", line 434, in
trainer.train()
File "trainer.py", line 226, in train
nn.utils.clip_grad_norm(self.parameters, self.grad_clip)
File "/python3.6/site-packages/torch/nn/utils/clip_grad.py", line 47, in clip_grad_norm
return clip_gradnorm(parameters, max_norm, norm_type)
File "/python3.6/site-packages/torch/nn/utils/clip_grad.py", line 30, in clip_gradnorm
total_norm = torch.norm(torch.stack([torch.norm(p.grad.detach(), norm_type) for p in parameters]), norm_type)
RuntimeError: stack expects a non-empty TensorList
Hi, I got this error:
Traceback (most recent call last): File "trainer.py", line 434, in
trainer.train()
File "trainer.py", line 226, in train
nn.utils.clip_grad_norm(self.parameters, self.grad_clip)
File "/python3.6/site-packages/torch/nn/utils/clip_grad.py", line 47, in clip_grad_norm
return clip_gradnorm(parameters, max_norm, norm_type)
File "/python3.6/site-packages/torch/nn/utils/clip_grad.py", line 30, in clip_gradnorm
total_norm = torch.norm(torch.stack([torch.norm(p.grad.detach(), norm_type) for p in parameters]), norm_type)
RuntimeError: stack expects a non-empty TensorList