Comments (3)
+1 happened to me as well.
from torchsample.
I have faced a similar problem. I think this is because of new features supporting multiple inputs and targets. I have written a wrapper class that converts pytorch dataset to torchsample dataset, hope it helps you.
class WrapperDataset(BaseDataset):
def __init__(self, dataset):
self.dataset = dataset
self.num_inputs = 1
self.num_targets = 1
def __getitem__(self, index):
return self.dataset.__getitem__(index)
def __len__(self):
return self.dataset.__len__()
from torchsample.
@arunpatala: Can you give an example on how to use this class? What is 'BaseDataset'?
from torchsample.
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from torchsample.