Closed jakubLangr closed 4 years ago
Ha, my bad it should be
my_dataset = torch.utils.data.TensorDataset(x_t)
my_dloader = torch.utils.data.DataLoader(my_dataset)
fa_dl = DataLoader(my_dloader)
img_dbunch = DataBunch(fa_dl)
# img_dblock.databunch(fa_dl)
img_dbunch.one_batch()
But it still does not actually show any images sadly. Just the values of the tensors—even with actual images.
Hello,
I have a pytorch data dataset:
But the last line gives the following error:
I can get e.g. the examples running just fine.
But I think this may be a bug, because at no point I am defining any masks. But it is totally possible I am doing something wrong the data model is still not 100% clear to me
The only other way I can think of converting a pytorch dataloader into a fastai2 one is like this:
But that also makes an error on the last line: