Bixqu
August 7, 2017, 9:54am
1
I am training a very simple net on CIFAR10 and I want to get the number of examples from the loader,
trainset = torchvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=4, shuffle=True, num_workers=2)
Is there a way to use trainloader.number_of_examples
or something similar?
fmassa
(Francisco Massa)
August 7, 2017, 10:25am
2
The number of examples is present from the dataset, not the dataloader.
So you can get the number of examples by using len(trainset)
1 Like
how about telling dataloader how many samples to load? Is that possible?
You could use a SubsetSampler
, pass the desired indices to it, and pass the sampler to the DataLoader
in order to define the number of returned samples.
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Juans
February 1, 2022, 11:12am
6
If anyone is looking to get the number of data points in the training set from the DataLoader object:
len(trainloader.dataset)
In contrast len(trainloader)
which gives the “number of batches”, see however second warning in the docs .
8 Likes