Cleanup prototype kernel dispatchers (#5417)

* add all legacy kernels

* clarify dispatcher docstrings

torchvision/prototype/transforms/functional/_augment.py

@@ -17,7 +17,7 @@ T = TypeVar("T", bound=features._Feature)
     }
 )
 def erase(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -28,7 +28,7 @@ def erase(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def mixup(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 

torchvision/prototype/transforms/functional/_color.py

@@ -19,7 +19,7 @@ T = TypeVar("T", bound=features._Feature)
     }
 )
 def adjust_brightness(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -31,7 +31,7 @@ def adjust_brightness(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def adjust_saturation(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -43,7 +43,7 @@ def adjust_saturation(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def adjust_contrast(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -55,7 +55,7 @@ def adjust_contrast(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def adjust_sharpness(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -67,7 +67,7 @@ def adjust_sharpness(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def posterize(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -79,7 +79,7 @@ def posterize(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def solarize(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -91,7 +91,7 @@ def solarize(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def autocontrast(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -103,7 +103,7 @@ def autocontrast(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def equalize(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -115,5 +115,29 @@ def equalize(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def invert(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.adjust_hue,
+        PIL.Image.Image: _F.adjust_hue,
+        features.Image: K.adjust_hue_image,
+    }
+)
+def adjust_hue(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.adjust_gamma,
+        PIL.Image.Image: _F.adjust_gamma,
+        features.Image: K.adjust_gamma_image,
+    }
+)
+def adjust_gamma(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
     ...

torchvision/prototype/transforms/functional/_geometry.py

@@ -20,7 +20,7 @@ T = TypeVar("T", bound=features._Feature)
     },
 )
 def horizontal_flip(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     if isinstance(input, features.BoundingBox):
         output = K.horizontal_flip_bounding_box(input, format=input.format, image_size=input.image_size)
         return cast(T, features.BoundingBox.new_like(input, output))
@@ -38,7 +38,7 @@ def horizontal_flip(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def resize(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     if isinstance(input, features.BoundingBox):
         size = kwargs.pop("size")
         output = K.resize_bounding_box(input, size=size, image_size=input.image_size)
@@ -55,7 +55,7 @@ def resize(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def center_crop(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -67,7 +67,7 @@ def center_crop(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def resized_crop(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -79,7 +79,7 @@ def resized_crop(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def affine(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
     ...
 
 
@@ -91,5 +91,77 @@ def affine(input: T, *args: Any, **kwargs: Any) -> T:
     }
 )
 def rotate(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.pad,
+        PIL.Image.Image: _F.pad,
+        features.Image: K.pad_image,
+    }
+)
+def pad(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.crop,
+        PIL.Image.Image: _F.crop,
+        features.Image: K.crop_image,
+    }
+)
+def crop(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.perspective,
+        PIL.Image.Image: _F.perspective,
+        features.Image: K.perspective_image,
+    }
+)
+def perspective(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.vflip,
+        PIL.Image.Image: _F.vflip,
+        features.Image: K.vertical_flip_image,
+    }
+)
+def vertical_flip(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.five_crop,
+        PIL.Image.Image: _F.five_crop,
+        features.Image: K.five_crop_image,
+    }
+)
+def five_crop(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.ten_crop,
+        PIL.Image.Image: _F.ten_crop,
+        features.Image: K.ten_crop_image,
+    }
+)
+def ten_crop(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
     ...

torchvision/prototype/transforms/functional/_misc.py

 from typing import TypeVar, Any
 
+import PIL.Image
 import torch
 from torchvision.prototype import features
 from torchvision.prototype.transforms import kernels as K
@@ -17,5 +18,17 @@ T = TypeVar("T", bound=features._Feature)
     }
 )
 def normalize(input: T, *args: Any, **kwargs: Any) -> T:
-    """ADDME"""
+    """TODO: add docstring"""
+    ...
+
+
+@dispatch(
+    {
+        torch.Tensor: _F.gaussian_blur,
+        PIL.Image.Image: _F.gaussian_blur,
+        features.Image: K.gaussian_blur_image,
+    }
+)
+def ten_gaussian_blur(input: T, *args: Any, **kwargs: Any) -> T:
+    """TODO: add docstring"""
     ...

torchvision/prototype/transforms/kernels/__init__.py

@@ -18,6 +18,8 @@ from ._color import (
     autocontrast_image,
     equalize_image,
     invert_image,
+    adjust_hue_image,
+    adjust_gamma_image,
 )
 from ._geometry import (
     horizontal_flip_bounding_box,
@@ -29,6 +31,12 @@ from ._geometry import (
     resized_crop_image,
     affine_image,
     rotate_image,
+    pad_image,
+    crop_image,
+    perspective_image,
+    vertical_flip_image,
+    five_crop_image,
+    ten_crop_image,
 )
-from ._misc import normalize_image
+from ._misc import normalize_image, gaussian_blur_image
 from ._type_conversion import decode_image_with_pil, decode_video_with_av, label_to_one_hot

torchvision/prototype/transforms/kernels/_color.py

@@ -10,3 +10,5 @@ solarize_image = _F.solarize
 autocontrast_image = _F.autocontrast
 equalize_image = _F.equalize
 invert_image = _F.invert
+adjust_hue_image = _F.adjust_hue
+adjust_gamma_image = _F.adjust_gamma

torchvision/prototype/transforms/kernels/_geometry.py

@@ -68,3 +68,9 @@ center_crop_image = _F.center_crop
 resized_crop_image = _F.resized_crop
 affine_image = _F.affine
 rotate_image = _F.rotate
+pad_image = _F.pad
+crop_image = _F.crop
+perspective_image = _F.perspective
+vertical_flip_image = _F.vflip
+five_crop_image = _F.five_crop
+ten_crop_image = _F.ten_crop

torchvision/prototype/transforms/kernels/_misc.py

@@ -2,3 +2,4 @@ from torchvision.transforms import functional as _F
 
 
 normalize_image = _F.normalize
+gaussian_blur_image = _F.gaussian_blur