update model_name

gpgpu_mnist_example/inference.py

@@ -83,7 +83,7 @@ if __name__ == '__main__':
     test_dataset = mnist.MNIST(root=MnistDataset_torch_path + "/test", train=False, transform=ToTensor(),download=False)
     test_loader = DataLoader(test_dataset, batch_size=batch_size)
     model = Model().to(device)
-    checkpoint = torch.load(Torch_MNIST_Example_Model_path + "/mnist_epoch1_0.73.pkl")
+    checkpoint = torch.load(Torch_MNIST_Example_Model_path + "/mnist_epoch1.pkl")
     model.load_state_dict(checkpoint['model'])
     test(model,test_loader,len(test_dataset),output_path)
     upload_output()