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Fix _maybe_set_distributed_sampler_epoch to handle MultiDataLoader #1078

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Fix _maybe_set_distributed_sampler_epoch to handle MultiDataLoader #1078

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4 changes: 4 additions & 0 deletions torchtnt/framework/_loop_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@ def move_exported_model_to_train(model: nn.Module) -> None:
pass


from torchtnt.utils.data.multi_dataloader import MultiDataLoader
from torchtnt.utils.progress import Progress

_logger: logging.Logger = logging.getLogger(__name__)
Expand Down Expand Up @@ -96,6 +97,9 @@ def _maybe_set_distributed_sampler_epoch(
dataloader.sampler.set_epoch(current_epoch)
elif isinstance(dataloader.batch_sampler, _DistributedSampler):
dataloader.batch_sampler.set_epoch(current_epoch)
elif isinstance(dataloader, MultiDataLoader):
for child in dataloader.individual_dataloaders.values():
_maybe_set_distributed_sampler_epoch(child, current_epoch)


def _set_module_training_mode(
Expand Down