การเพิ่มประสิทธิภาพโมเดลเพื่อรองรับการขยายขนาด

# Export model to TorchScript
scripted_model = torch.jit.____(model, torch.tensor(X_test[:1], dtype=torch.float32).unsqueeze(1))
# Save model to TorchScript
torch.jit.____(scripted_model, 'model.pt')

# Loaded saved model
loaded_model = torch.jit.____('____.pt')
# Validate inference on test dataset
test_loader = DataLoader(TensorDataset(torch.tensor(X_test, dtype=torch.float32).unsqueeze(1), ____), batch_size=64)

accuracy = evaluate_model(loaded_model, test_loader)

print(f"Optimized model accuracy: {accuracy:.2%}")