Fixed typos (#8208)

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.

torchvision/datasets/oxford_iiit_pet.py

@@ -23,7 +23,7 @@ class OxfordIIITPet(VisionDataset):
 
             If empty, ``None`` will be returned as target.
 
-        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 puts it into

torchvision/datasets/pcam.py

@@ -20,7 +20,7 @@ class PCAM(VisionDataset):
     Args:
          root (string): Root directory of the dataset.
          split (string, optional): The dataset split, supports ``"train"`` (default), ``"test"`` or ``"val"``.
-         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 puts it into ``root/pcam``. If

torchvision/datasets/phototour.py

@@ -26,7 +26,7 @@ class PhotoTour(VisionDataset):
     Args:
         root (string): Root directory where images are.
         name (string): Name of the dataset to load.
-        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.
         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/places365.py

@@ -19,7 +19,7 @@ class Places365(VisionDataset):
             high resolution ones.
         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
+        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/rendered_sst2.py

@@ -22,7 +22,7 @@ class RenderedSST2(VisionDataset):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default), `"val"` 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/semeion.py

@@ -14,7 +14,7 @@ class SEMEION(VisionDataset):
     Args:
         root (string): Root directory of dataset where directory
             ``semeion.py`` 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/stanford_cars.py

@@ -21,7 +21,7 @@ class StanfordCars(VisionDataset):
     Args:
         root (string): Root directory of dataset
         split (string, optional): The dataset split, supports ``"train"`` (default) or ``"test"``.
-        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/stl10.py

@@ -19,7 +19,7 @@ class STL10(VisionDataset):
         folds (int, optional): One of {0-9} or None.
             For training, loads one of the 10 pre-defined folds of 1k samples for the
             standard evaluation procedure. If no value is passed, loads the 5k samples.
-        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/sun397.py

@@ -15,7 +15,7 @@ class SUN397(VisionDataset):
 
     Args:
         root (string): Root directory of the dataset.
-        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/svhn.py

@@ -22,7 +22,7 @@ class SVHN(VisionDataset):
         root (string): Root directory of the dataset where the data is stored.
         split (string): One of {'train', 'test', 'extra'}.
             Accordingly dataset is selected. 'extra' is Extra training 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/ucf101.py

@@ -36,7 +36,7 @@ class UCF101(VisionDataset):
         fold (int, optional): which fold to use. Should be between 1 and 3.
         train (bool, optional): if ``True``, creates a dataset from the train split,
             otherwise from the ``test`` split.
-        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.
         output_format (str, optional): The format of the output video tensors (before transforms).
             Can be either "THWC" (default) or "TCHW".

torchvision/datasets/usps.py

@@ -18,7 +18,7 @@ class USPS(VisionDataset):
         root (string): Root directory of dataset to store``USPS`` data files.
         train (bool, optional): If True, creates dataset from ``usps.bz2``,
             otherwise from ``usps.t.bz2``.
-        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/vision.py

@@ -15,7 +15,7 @@ class VisionDataset(data.Dataset):
         root (string, optional): Root directory of dataset. Only used for `__repr__`.
         transforms (callable, optional): A function/transforms that takes in
             an image and a label and returns the transformed versions of both.
-        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/voc.py

@@ -128,7 +128,7 @@ class VOCSegmentation(_VOCBase):
         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.
@@ -173,7 +173,7 @@ class VOCDetection(_VOCBase):
             puts it in root directory. If dataset is already downloaded, it is not
             downloaded again.
             (default: alphabetic indexing of VOC's 20 classes).
-        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, required): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/widerface.py

@@ -26,7 +26,7 @@ class WIDERFace(VisionDataset):
                         └── WIDER_test ('WIDER_test.zip' if compressed)
         split (string): The dataset split to use. One of {``train``, ``val``, ``test``}.
             Defaults to ``train``.
-        transform (callable, optional): A function/transform that  takes in a 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.