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Is there a reason for using a single loop training model compared to a
for epoch in range(n_epochs):
for iter in range(n_iters):
train.....
I understand that it may not be trivial to get the number of iterations when there are two data loaders with different sizes of samples. But any explanation is really appreciated.
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