How to limit train/validation batches

[SPlanzer]

I have a large dataset and would like to limit the number of batches in the train and validation loops.

frameworks such as pytorch-lightning have arguments for this (i.e limit_val_btaches

How would I go about implementing this with detectron2?

[SPlanzer]

Sorry for the noob question.

It appears for training I can use:
cfg.SOLVER.MAX_ITER = 100
and even
trainer.train(start_iter=0, max_iter=10)

for validation I can at least limit the number of detection per image with the below
cfg.TEST.DETECTIONS_PER_IMAGE = x