| import torch | |
| from model import * | |
| from inference import load_model | |
| if __name__ == "__main__": | |
| model = load_model("model.pt") | |
| x = torch.randn(1, 3, 224, 224) | |
| y = model(x) | |
| print("Example output:", y.shape) | |
| import torch | |
| from model import * | |
| from inference import load_model | |
| if __name__ == "__main__": | |
| model = load_model("model.pt") | |
| x = torch.randn(1, 3, 224, 224) | |
| y = model(x) | |
| print("Example output:", y.shape) | |