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Expose data loader parameters in build_batch_data_loader and build_detection_train_loader. #5082

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Expose data loader parameters in build_batch_data_loader and build_detection_train_loader. #5082

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15 changes: 15 additions & 0 deletions detectron2/data/build.py
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Original file line number Diff line number Diff line change
Expand Up @@ -289,6 +289,9 @@ def build_batch_data_loader(
num_workers=0,
collate_fn=None,
drop_last: bool = True,
prefetch_factor=None,
persistent_workers=False,
pin_memory=False,
):
"""
Build a batched dataloader. The main differences from `torch.utils.data.DataLoader` are:
Expand Down Expand Up @@ -327,6 +330,9 @@ def build_batch_data_loader(
num_workers=num_workers,
collate_fn=operator.itemgetter(0), # don't batch, but yield individual elements
worker_init_fn=worker_init_reset_seed,
prefetch_factor=prefetch_factor,
persistent_workers=persistent_workers,
pin_memory=pin_memory,
) # yield individual mapped dict
data_loader = AspectRatioGroupedDataset(data_loader, batch_size)
if collate_fn is None:
Expand All @@ -340,6 +346,9 @@ def build_batch_data_loader(
num_workers=num_workers,
collate_fn=trivial_batch_collator if collate_fn is None else collate_fn,
worker_init_fn=worker_init_reset_seed,
prefetch_factor=prefetch_factor,
persistent_workers=persistent_workers,
pin_memory=pin_memory,
)


Expand Down Expand Up @@ -479,6 +488,9 @@ def build_detection_train_loader(
aspect_ratio_grouping=True,
num_workers=0,
collate_fn=None,
prefetch_factor=None,
persistent_workers=False,
pin_memory=False,
):
"""
Build a dataloader for object detection with some default features.
Expand Down Expand Up @@ -530,6 +542,9 @@ def build_detection_train_loader(
aspect_ratio_grouping=aspect_ratio_grouping,
num_workers=num_workers,
collate_fn=collate_fn,
prefetch_factor=prefetch_factor,
persistent_workers=persistent_workers,
pin_memory=pin_memory,
)


Expand Down