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Optionally train_args on attempt_load_weights() (#2928)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Ayush Chaurasia 2023-06-01 04:32:16 +05:30 committed by GitHub
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ultralytics/nn/tasks.py
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@ -532,7 +532,7 @@ def attempt_load_weights(weights, device=None, inplace=True, fuse=False):
ensemble = Ensemble() ensemble = Ensemble()
for w in weights if isinstance(weights, list) else [weights]: for w in weights if isinstance(weights, list) else [weights]:
ckpt, w = torch_safe_load(w) # load ckpt ckpt, w = torch_safe_load(w) # load ckpt
args = {**DEFAULT_CFG_DICT, **ckpt['train_args']} # combine model and default args, preferring model args args = {**DEFAULT_CFG_DICT, **ckpt['train_args']} if 'train_args' in ckpt else None # combined args
model = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model model = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
# Model compatibility updates # Model compatibility updates