Created
July 12, 2020 17:40
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| # Define pre-trained model | |
| vgg = models.vgg19(pretrained=True).features | |
| # Freeze all model weights | |
| for param in vgg.parameters(): | |
| param.requires_grad_(False) | |
| # Move model to GPU, if available. | |
| device = torch.device( | |
| 'cuda' if torch.cuda.is_available() else 'cpu' | |
| ) | |
| vgg.to(device) |
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