DataLoader not workin properly

[Rohan_Bareja]

I tried checking the number of batches using the code in this post.

Dataloader length==1 instead of number of images

Could you try to narrow down your code to just the data loading, as you shouldn’t get a single batch out of your DataLoader using the specified arguments. Have a look at this code snippet: N = 4000 batch_size = 16 dataset = TensorDataset( torch.randn(N, 1) ) loader = DataLoader( dataset, batch_size=batch_size ) print('len(dataset) ', len(dataset)) print('len(loader) ', len(loader)) print('expected number of batches {}'.format( math.ceil(N / batch_size))) counter = 0 for data …

print('expected number of batches {}'.format(
    math.ceil(N / batch_size)))

And it printed out 6 batches as well.So not sure where the rest of the batches go?

Also I checked another example when I load 573 images, 144 images are trained(batch size 16, 9 batches). This equals 144 images. If we look at the ratio 144/573 its 25% approx, so is the ratio of 22/85 = 25%. So the rest of 75% images how can get those back?