I want to append 2 tensors of different size in a list and later I want to put all of it into dataloader.

x_train is a numpy array of 277 numpy arrays

and y_train is a numpy array of 277 scalars

```
image_transforms = {
"train": transforms.Compose([transforms.ToPILImage(),
transforms.Resize((224, 224)),
transforms.ToTensor(),
transforms.Normalize([0.5, 0.5, 0.5],
[0.5, 0.5, 0.5])
]),
"test": transforms.Compose([
transforms.Resize((224, 224)),
transforms.ToTensor(),
transforms.Normalize([0.5, 0.5, 0.5],
[0.5, 0.5, 0.5])
])
}
```

```
print(x_train[1].shape)
trainset=[]
testset=[]
train=image_transforms['train']
for i in range(x_train.shape[0]):
trainset.append([torch.tensor(train(x_train[i]),torch.tensor(y_train))])
trainset
```

**Error**

```
TypeError Traceback (most recent call last)
<ipython-input-26-66fc15feb658> in <module>
4 train=image_transforms['train']
5 for i in range(x_train.shape[0]):
----> 6 trainset.append([torch.tensor(train(x_train[i]),torch.tensor(y_train))])
7 trainset
TypeError: tensor() takes 1 positional argument but 2 were given
```