test.py .fuse() update
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@@ -31,11 +31,8 @@ def test(data,
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# Load model
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google_utils.attempt_download(weights)
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model = torch.load(weights, map_location=device)['model'].float() # load to FP32
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torch_utils.model_info(model)
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model.fuse()
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model.to(device)
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imgsz = check_img_size(imgsz, s=model.model[-1].stride.max()) # check img_size
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model = torch.load(weights, map_location=device)['model'].float().fuse() # load to FP32
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imgsz = check_img_size(imgsz, s=model.stride.max()) # check img_size
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# Multi-GPU disabled, incompatible with .half() https://github.com/ultralytics/yolov5/issues/99
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# if device.type != 'cpu' and torch.cuda.device_count() > 1:
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