cpu to device select
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@ -76,7 +76,7 @@ def attempt_load(weights, device=None, inplace=True, fuse=True):
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model = Ensemble()
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for w in weights if isinstance(weights, list) else [weights]:
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ckpt = torch.load(attempt_download(w), map_location='cpu') # load
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ckpt = torch.load(attempt_download(w), map_location=device) # load
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ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
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# Model compatibility updates
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