updates
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4
train.py
4
train.py
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@ -75,8 +75,8 @@ def train(
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load_darknet_weights(model, weights + 'yolov3-tiny.conv.15')
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cutoff = 15
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# if torch.cuda.device_count() > 1:
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# model = nn.DataParallel(model)
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if torch.cuda.device_count() > 1:
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model = nn.DataParallel(model)
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model.to(device).train()
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# Set optimizer
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@ -15,8 +15,9 @@ def select_device(force_cpu=False):
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cuda = torch.cuda.is_available()
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device = torch.device('cuda:0' if cuda else 'cpu')
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# if torch.cuda.device_count() > 1:
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# print('WARNING Using GPU0 Only: https://github.com/ultralytics/yolov3/issues/21')
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if torch.cuda.device_count() > 1:
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print('Found %g GPUs' % torch.cuda.device_count())
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print('WARNING Using GPU0 Only: https://github.com/ultralytics/yolov3/issues/21')
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# torch.cuda.set_device(0) # OPTIONAL: Set your GPU if multiple available
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# # print('Using ', torch.cuda.device_count(), ' GPUs')
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