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why use with torch.no_grad()?
With this implementation, no back propagation occurs in the mean and variance.
The batch normalization backpropagation backpropagate the mean and variance gradients.
Is this implementation correct?
The text was updated successfully, but these errors were encountered:
why use with torch.no_grad()?
With this implementation, no back propagation occurs in the mean and variance.
The batch normalization backpropagation backpropagate the mean and variance gradients.
Is this implementation correct?
The text was updated successfully, but these errors were encountered: