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doc: using collate_fn #11639

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doc: using collate_fn #11639

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1 change: 1 addition & 0 deletions docs/en/user_guides/config.md
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Expand Up @@ -207,6 +207,7 @@ train_dataloader = dict( # Train dataloader config
batch_size=2, # Batch size of a single GPU
num_workers=2, # Worker to pre-fetch data for each single GPU
persistent_workers=True, # If ``True``, the dataloader will not shut down the worker processes after an epoch end, which can accelerate training speed.
collate_fn=dict(type='default_collate'), # Required to collate a list of tensors into a tensor with a batch dimension
sampler=dict( # training data sampler
type='DefaultSampler', # DefaultSampler which supports both distributed and non-distributed training. Refer to https://mmengine.readthedocs.io/en/latest/api/generated/mmengine.dataset.DefaultSampler.html#mmengine.dataset.DefaultSampler
shuffle=True), # randomly shuffle the training data in each epoch
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