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Fix model.save() for model YAMLs (#18212)

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Signed-off-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Mohammed Yasin 2024-12-16 18:59:05 +08:00 • committed by GitHub
parent 626e42ef25
commit f87b447b2d
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1 changed files with 2 additions and 2 deletions
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ultralytics/engine/model.py
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@ -115,7 +115,7 @@ class Model(nn.Module):
self.predictor = None # reuse predictor
self.model = None # model object
self.trainer = None # trainer object
self.ckpt = None # if loaded from *.pt
self.ckpt = {} # if loaded from *.pt
self.cfg = None # if loaded from *.yaml
self.ckpt_path = None
self.overrides = {} # overrides for trainer object
@ -807,7 +807,7 @@ class Model(nn.Module):
# Update model and cfg after training
if RANK in {-1, 0}:
ckpt = self.trainer.best if self.trainer.best.exists() else self.trainer.last
self.model, _ = attempt_load_one_weight(ckpt)
self.model, self.ckpt = attempt_load_one_weight(ckpt)
self.overrides = self.model.args
self.metrics = getattr(self.trainer.validator, "metrics", None) # TODO: no metrics returned by DDP
return self.metrics