Heyguys, I am working on a CNN regression project for a while now.
After I get the label
I try to create a databunch, like so
I get prompted with a warning; I had a quick look at the tensor shape. It varies for label. Forexample, I have tensor.size([8,2]) or even tensor.size([7,2]).
How should I handle this?
You can deactivate this warning by passing
no_check=True.
/usr/local/lib/python3.6/dist-packages/fastai/basic_data.py:271: UserWarning: It’s not possible to collate samples of your dataset together in a batch.
Shapes of the inputs/targets:
[[torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160]), torch.Size([3, 120, 160])], [torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([7, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([7, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([7, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([8, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([7, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2]), torch.Size([9, 2])]]
warn(message)