- 
                Notifications
    
You must be signed in to change notification settings  - Fork 7.2k
 
Closed
Description
📚 The doc issue
The doc of MNIST() shows download parameter at the end as shown below:
class torchvision.datasets.MNIST(root: Union[str, Path], train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)
But download parameter is explained in the middle as shown below:
Parameters:
- root (str or pathlib.Path) – Root directory of dataset where MNIST/raw/train-images-idx3-ubyte and MNIST/raw/t10k-images-idx3-ubyte exist.
 - train (bool, optional) – If True, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.
 - download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
 - transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop
 - target_transform (callable, optional) – A function/transform that takes in the target and transforms it.
 
Suggest a potential alternative/fix
So, download parameter should be explained at the end as shown below:
Parameters:
- root (str or pathlib.Path) – Root directory of dataset where MNIST/raw/train-images-idx3-ubyte and MNIST/raw/t10k-images-idx3-ubyte exist.
 - train (bool, optional) – If True, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.
 - transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop
 - target_transform (callable, optional) – A function/transform that takes in the target and transforms it.
 - download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
 
Metadata
Metadata
Assignees
Labels
No labels