Fixed typos (#8208)

torchvision/datasets/caltech.py

@@ -23,7 +23,7 @@ class Caltech101(VisionDataset):
             target types.  ``category`` represents the target class, and
             ``annotation`` is a list of points from a hand-generated outline.
             Defaults to ``category``.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.
@@ -151,7 +151,7 @@ class Caltech256(VisionDataset):
     Args:
         root (string): Root directory of dataset where directory
             ``caltech256`` exists or will be saved to if download is set to True.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.

torchvision/datasets/celeba.py

@@ -31,7 +31,7 @@ class CelebA(VisionDataset):
 
             Defaults to ``attr``. If empty, ``None`` will be returned as target.
 
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/cifar.py

@@ -17,7 +17,7 @@ class CIFAR10(VisionDataset):
             ``cifar-10-batches-py`` exists or will be saved to if download is set to True.
         train (bool, optional): If True, creates dataset from training set, otherwise
             creates from test set.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.

torchvision/datasets/clevr.py

@@ -18,7 +18,7 @@ class CLEVRClassification(VisionDataset):
         root (string): Root directory of dataset where directory ``root/clevr`` exists or will be saved to if download is
             set to True.
         split (string, optional): The dataset split, supports ``"train"`` (default), ``"val"``, or ``"test"``.
-        transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed
+        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 them target and transforms it.
         download (bool, optional): If true, downloads the dataset from the internet and puts it in root directory. If

torchvision/datasets/coco.py

@@ -14,7 +14,7 @@ class CocoDetection(VisionDataset):
     Args:
         root (string): Root directory where images are downloaded to.
         annFile (string): Path to json annotation file.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
@@ -65,7 +65,7 @@ class CocoCaptions(CocoDetection):
     Args:
         root (string): Root directory where images are downloaded to.
         annFile (string): Path to json annotation file.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that  takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/country211.py

@@ -16,7 +16,7 @@ class Country211(ImageFolder):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default), ``"valid"`` and ``"test"``.
-        transform (callable, optional): A function/transform that  takes in an PIL image and returns a transformed
+        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 into

torchvision/datasets/dtd.py

@@ -21,7 +21,7 @@ class DTD(VisionDataset):
                 The partition only changes which split each image belongs to. Thus, regardless of the selected
                 partition, combining all splits will result in all images.
 
-        transform (callable, optional): A function/transform that  takes in a PIL image and returns a transformed
+        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

torchvision/datasets/eurosat.py

@@ -10,7 +10,7 @@ class EuroSAT(ImageFolder):
 
     Args:
         root (string): Root directory of dataset where ``root/eurosat`` exists.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/fakedata.py

@@ -13,7 +13,7 @@ class FakeData(VisionDataset):
         size (int, optional): Size of the dataset. Default: 1000 images
         image_size(tuple, optional): Size if the returned images. Default: (3, 224, 224)
         num_classes(int, optional): Number of classes in the dataset. Default: 10
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/fer2013.py

@@ -17,7 +17,7 @@ class FER2013(VisionDataset):
         root (string): Root directory of dataset where directory
             ``root/fer2013`` exists.
         split (string, optional): The dataset split, supports ``"train"`` (default), or ``"test"``.
-        transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed
+        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.
     """

torchvision/datasets/fgvc_aircraft.py

@@ -28,7 +28,7 @@ class FGVCAircraft(VisionDataset):
             ``trainval`` and ``test``.
         annotation_level (str, optional): The annotation level, supports ``variant``,
             ``family`` and ``manufacturer``.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/flowers102.py

@@ -24,7 +24,7 @@ class Flowers102(VisionDataset):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default), ``"val"``, or ``"test"``.
-        transform (callable, optional): A function/transform that takes in an PIL image and returns a
+        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

torchvision/datasets/folder.py

@@ -284,7 +284,7 @@ class ImageFolder(DatasetFolder):
 
     Args:
         root (string): Root directory path.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/food101.py

@@ -21,7 +21,7 @@ class Food101(VisionDataset):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default) and ``"test"``.
-        transform (callable, optional): A function/transform that  takes in an PIL image and returns a transformed
+        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

torchvision/datasets/gtsrb.py

@@ -15,7 +15,7 @@ class GTSRB(VisionDataset):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default), or ``"test"``.
-        transform (callable, optional): A function/transform that  takes in an PIL image and returns a transformed
+        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

torchvision/datasets/imagenet.py

@@ -30,7 +30,7 @@ class ImageNet(ImageFolder):
     Args:
         root (string): Root directory of the ImageNet Dataset.
         split (string, optional): The dataset split, supports ``train``, or ``val``.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/imagenette.py

@@ -17,7 +17,7 @@ class Imagenette(VisionDataset):
         size (string, optional): The image size. Supports ``"full"`` (default), ``"320px"``, and ``"160px"``.
         download (bool, optional): If ``True``, downloads the dataset components and places them in ``root``. Already
             downloaded archives are not downloaded again.
-        transform (callable, optional): A function/transform that  takes in an PIL image and returns a transformed
+        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.
 

torchvision/datasets/inaturalist.py

@@ -54,7 +54,7 @@ class INaturalist(VisionDataset):
 
             Can also be a list to output a tuple with all specified target types.
             Defaults to ``full``.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.

torchvision/datasets/kinetics.py

@@ -56,7 +56,7 @@ class Kinetics(VisionDataset):
         split (str): split of the dataset to consider; supports ``"train"`` (default) ``"val"`` ``"test"``
         frame_rate (float): If omitted, interpolate different frame rate for each clip.
         step_between_clips (int): number of frames between each clip
-        transform (callable, optional): A function/transform that  takes in a TxHxWxC video
+        transform (callable, optional): A function/transform that takes in a TxHxWxC video
             and returns a transformed version.
         download (bool): Download the official version of the dataset to root folder.
         num_workers (int): Use multiple workers for VideoClips creation

torchvision/datasets/lfw.py

@@ -101,7 +101,7 @@ class LFWPeople(_LFW):
             ``10fold`` (default).
         image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or
             ``deepfunneled``. Defaults to ``funneled``.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that  takes in a PIL image
             and returns a transformed version. E.g, ``transforms.RandomRotation``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
@@ -183,7 +183,7 @@ class LFWPairs(_LFW):
             ``10fold``. Defaults to ``10fold``.
         image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or
             ``deepfunneled``. Defaults to ``funneled``.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that takes in a PIL image
             and returns a transformed version. E.g, ``transforms.RandomRotation``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/lsun.py

@@ -63,7 +63,7 @@ class LSUN(VisionDataset):
         root (string): Root directory for the database files.
         classes (string or list): One of {'train', 'val', 'test'} or a list of
             categories to load. e,g. ['bedroom_train', 'church_outdoor_train'].
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/mnist.py

@@ -27,7 +27,7 @@ class MNIST(VisionDataset):
         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 an PIL image
+        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.
@@ -210,7 +210,7 @@ class FashionMNIST(MNIST):
         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 an PIL image
+        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.
@@ -238,7 +238,7 @@ class KMNIST(MNIST):
         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 an PIL image
+        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.
@@ -269,7 +269,7 @@ class EMNIST(MNIST):
         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 an PIL image
+        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.
@@ -360,7 +360,7 @@ class QMNIST(MNIST):
             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 an PIL image and returns a transformed
+            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.

torchvision/datasets/moving_mnist.py

@@ -17,7 +17,7 @@ class MovingMNIST(VisionDataset):
         split_ratio (int, optional): The split ratio of number of frames. If ``split="train"``, the first split
             frames ``data[:, :split_ratio]`` is returned. If ``split="test"``, the last split frames ``data[:, split_ratio:]``
             is returned. If ``split=None``, this parameter is ignored and the all frames data is returned.
-        transform (callable, optional): A function/transform that takes in an torch Tensor
+        transform (callable, optional): A function/transform that takes in a torch Tensor
             and returns a transformed version. E.g, ``transforms.RandomCrop``
         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

torchvision/datasets/omniglot.py

@@ -15,7 +15,7 @@ class Omniglot(VisionDataset):
             ``omniglot-py`` exists.
         background (bool, optional): If True, creates dataset from the "background" set, otherwise
             creates from the "evaluation" set. This terminology is defined by the authors.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.