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update model message #20753

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Merged
merged 8 commits into from
Apr 25, 2025
Merged

update model message #20753

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bcc8c66
update model message
Borda Apr 24, 2025
73f291f
pandoc >=2.14.2, <4.0.0
Borda Apr 24, 2025
69ac22b
py3.10
Borda Apr 25, 2025
a9ca741
revert pandoc
Borda Apr 25, 2025
00a0400
tensorboardX
Borda Apr 25, 2025
954ea50
tensorboardX.writer.SummaryWriter
Borda Apr 25, 2025
be8db9a
nitpick_ignore
Borda Apr 25, 2025
22cddfc
tensorboardX.SummaryWriter
Borda Apr 25, 2025
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2 changes: 1 addition & 1 deletion requirements/docs.txt
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Expand Up @@ -2,7 +2,7 @@ sphinx >5.0, <6.0
myst-parser >=0.18.1, <3.0.0
nbsphinx >=0.8.5, <=0.9.2
nbconvert <7.14 # temporary fix for https://github.com/jupyter/nbconvert/issues/2092
pandoc >=1.0, <=2.3
pandoc >=2.14.2, <4.0.0
docutils >=0.16, <0.21
sphinxcontrib-fulltoc >=1.0, <=1.2.0
sphinxcontrib-mockautodoc
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5 changes: 2 additions & 3 deletions src/lightning/pytorch/trainer/connectors/callback_connector.py
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Expand Up @@ -106,9 +106,8 @@ def _configure_checkpoint_callbacks(self, enable_checkpointing: bool) -> None:
model_checkpoint = LitModelCheckpoint(model_registry=self.trainer._model_registry)
else:
rank_zero_info(
"You are using the default ModelCheckpoint callback."
" Install `pip install litmodels` package to use the `LitModelCheckpoint` instead"
" for seamless uploading to the Lightning model registry."
"Using default `ModelCheckpoint`. Consider installing `litmodels` package to enable"
" `LitModelCheckpoint` for automatic upload to the Lightning model registry."
)
model_checkpoint = ModelCheckpoint()
self.trainer.callbacks.append(model_checkpoint)
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