Automatic sampling during validation

Hey,
Just to re-confirm my understanding: I know that for fine-tuning an NGC model “sampling=auto” in JSON config will use the data distribution to balance batch when training. What happens during validation at the end of the epoch? Will a similar sampling schema be used or will the full validation set be only used once? Thanks!

Hi
This option is in the pipeline so you can configure it for training and/or validation separately. However, you should not use it for validation as you want the pipeline and transforms to be deterministic

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