I am using MNIST data to run my python using pytorch. I like to train only partial data for digits 0 and 1. when I try to print the size of the first image it runs into "ValueError: too many dimensions: 3 > 2).
I am very new to Python. Can someone help to guide figuring root cause. The program runs fine if I don't segment the training data. here is the code snippet
subset_indices = ((train_data.train_labels == 0) + (train_data.train_labels == 1)).nonzero()
train_loader = torch.utils.data.DataLoader(train_data,batch_size=batch_size, shuffle=False,sampler=SubsetRandomSampler(subset_indices))
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