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When we use batchnorm with single batch during training then it is setting the variance as "nan" (it is expected due to single batch)
In this case do we check if single batch then pass (without batchnorm) or is there a mathematical way we can handle this?
The text was updated successfully, but these errors were encountered:
When we use batchnorm with single batch during training then it is setting the variance as "nan" (it is expected due to single batch)
In this case do we check if single batch then pass (without batchnorm) or is there a mathematical way we can handle this?
The text was updated successfully, but these errors were encountered: