train with multi-gpu half test bug fix #99
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test.py
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test.py
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@ -46,7 +46,8 @@ def test(data,
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else: # called by train.py
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training = True
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device = next(model.parameters()).device # get model device
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half = device.type != 'cpu' and torch.cuda.device_count() == 1 # half precision only supported on single-GPU
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# half disabled https://github.com/ultralytics/yolov5/issues/99
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half = False # device.type != 'cpu' and torch.cuda.device_count() == 1
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if half:
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model.half() # to FP16
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