update test.py model.half()
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@@ -41,9 +41,9 @@ def test(data,
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# model = nn.DataParallel(model)
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# model = nn.DataParallel(model)
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# Half
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# Half
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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 = device.type != 'cpu' # half precision only supported on CUDA
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if half:
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if half:
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model.half() # to FP16
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model.half()
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# Configure
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# Configure
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model.eval()
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model.eval()
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