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log_dict: support MetricCollection containing ClasswiseWrapper #21507

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log_dict: support MetricCollection containing ClasswiseWrapper #21507

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48 changes: 33 additions & 15 deletions src/lightning/pytorch/core/module.py
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Original file line number Diff line number Diff line change
Expand Up @@ -612,21 +612,39 @@ def log_dict(
kwargs["copy_state"] = False

for k, v in dictionary.items(**kwargs):
self.log(
name=k,
value=v,
prog_bar=prog_bar,
logger=logger,
on_step=on_step,
on_epoch=on_epoch,
reduce_fx=reduce_fx,
enable_graph=enable_graph,
sync_dist=sync_dist,
sync_dist_group=sync_dist_group,
add_dataloader_idx=add_dataloader_idx,
batch_size=batch_size,
rank_zero_only=rank_zero_only,
)
if isinstance(v, dict):
# Recursive case
self.log_dict(
dictionary=v,
prog_bar=prog_bar,
logger=logger,
on_step=on_step,
on_epoch=on_epoch,
reduce_fx=reduce_fx,
enable_graph=enable_graph,
sync_dist=sync_dist,
sync_dist_group=sync_dist_group,
add_dataloader_idx=add_dataloader_idx,
batch_size=batch_size,
rank_zero_only=rank_zero_only,
)
else:
# Base case
self.log(
name=k,
value=v,
prog_bar=prog_bar,
logger=logger,
on_step=on_step,
on_epoch=on_epoch,
reduce_fx=reduce_fx,
enable_graph=enable_graph,
sync_dist=sync_dist,
sync_dist_group=sync_dist_group,
add_dataloader_idx=add_dataloader_idx,
batch_size=batch_size,
rank_zero_only=rank_zero_only,
)
return None

def _log_dict_through_fabric(
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