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attempt_load() deserialize fix #8051

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May 31, 2022
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4 changes: 2 additions & 2 deletions models/experimental.py
Original file line number Diff line number Diff line change
Expand Up @@ -77,8 +77,8 @@ def attempt_load(weights, device=None, inplace=True, fuse=True):
# Loads an ensemble of models weights=[a,b,c] or a single model weights=[a] or weights=a
model = Ensemble()
for w in weights if isinstance(weights, list) else [weights]:
ckpt = torch.load(attempt_download(w))
ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
ckpt = torch.load(attempt_download(w), map_location=device)
ckpt = (ckpt.get('ema') or ckpt['model']).float() # FP32 model
model.append(ckpt.fuse().eval() if fuse else ckpt.eval()) # fused or un-fused model in eval mode

# Compatibility updates
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