cpu to device select
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@ -76,8 +76,8 @@ class Config:
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lr_decay = 0.95 # 0.98
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weight_decay = 5e-4
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loss = 'cross_entropy' # ['focal_loss', 'cross_entropy']
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device = torch.device('cuda:1' if torch.cuda.is_available() else 'cpu')
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# device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
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# device = torch.device('cuda:1' if torch.cuda.is_available() else 'cpu')
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device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
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pin_memory = True # if memory is large, set it True to speed up a bit
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num_workers = 4 # dataloader
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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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