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We originally added
eval_batch_split
as a feature similar tograd_accum
to be run when evaluating metrics. This is currently used in eval mode and in some algorithms.However, with the metrics refactor, we now run train metrics at a microbatch level. This uses the cached output from the forward call in that microbatch level. Now,
eval_batch_split
is no longer needed in train metrics. Further, if it is triggered, it will actually cause an error as composer still returns the cached outputs. Instead, we should let any OOMs here raise all the way up to auto grad accum level.