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Update ModelPT to use torch.load with weights only #15255

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Update ModelPT to use torch.load with weights only #15255

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4 changes: 2 additions & 2 deletions nemo/core/classes/modelPT.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1459,7 +1459,7 @@ def maybe_init_from_pretrained_checkpoint(self, cfg: OmegaConf, map_location: st
if isinstance(cfg.init_from_ptl_ckpt, str):
# Restore checkpoint
ckpt_path = cfg.pop('init_from_ptl_ckpt')
ckpt = torch.load(ckpt_path, map_location=map_location)
ckpt = torch.load(ckpt_path, map_location=map_location, weights_only=True)

# Restore checkpoint into current model
self.load_state_dict(ckpt['state_dict'], strict=False)
Expand All @@ -1473,7 +1473,7 @@ def maybe_init_from_pretrained_checkpoint(self, cfg: OmegaConf, map_location: st
for model_load_cfg in model_load_dict.values():
ckpt_path = model_load_cfg.path
# Restore model
ckpt = torch.load(ckpt_path, map_location=map_location)
ckpt = torch.load(ckpt_path, map_location=map_location, weights_only=True)

include = model_load_cfg.pop('include', [""])
exclude = model_load_cfg.pop('exclude', [])
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