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@ -1,7 +1,6 @@
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import argparse
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import json
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import yaml
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from torch.utils.data import DataLoader
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from utils.datasets import *
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@ -40,8 +39,9 @@ def test(data,
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if half:
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model.half() # to FP16
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if device.type != 'cpu' and torch.cuda.device_count() > 1:
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model = nn.DataParallel(model)
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# Multi-GPU disabled, incompatible with .half()
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# if device.type != 'cpu' and torch.cuda.device_count() > 1:
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# model = nn.DataParallel(model)
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else: # called by train.py
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training = True
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