You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have a 3D point cloud, which the number of each sample is vary. And i met the mismatch in shape problem during the back propagation, while i set the batch size to 2.
RuntimeError: Mismatch in shape: grad_output[0] has a shape of torch.Size([1, 2404, 4]) and output[0] has a shape of torch.Size([1, 1963, 4]).
I guess the problem came from torchdiffeq.
The text was updated successfully, but these errors were encountered:
I have a 3D point cloud, which the number of each sample is vary. And i met the mismatch in shape problem during the back propagation, while i set the batch size to 2.
RuntimeError: Mismatch in shape: grad_output[0] has a shape of torch.Size([1, 2404, 4]) and output[0] has a shape of torch.Size([1, 1963, 4]).
I guess the problem came from torchdiffeq.
The text was updated successfully, but these errors were encountered: