[fbsync] Fix RandAugment and TrivialAugment bugs (#4370)

Summary:
* Fix RA bugs.

* Fix bins for TA.

Reviewed By: fmassa

Differential Revision: D30793321

fbshipit-source-id: ebed731f85daae298c07963ed3115b9dda8403ea

Author: datumbox

torchvision/transforms/autoaugment.py

@@ -263,7 +263,7 @@ class RandAugment(torch.nn.Module):
             image. If given a number, the value is used for all bands respectively.
         """
 
-    def __init__(self, num_ops: int = 2, magnitude: int = 9, num_magnitude_bins: int = 30,
+    def __init__(self, num_ops: int = 2, magnitude: int = 9, num_magnitude_bins: int = 31,
                  interpolation: InterpolationMode = InterpolationMode.NEAREST,
                  fill: Optional[List[float]] = None) -> None:
         super().__init__()
@@ -276,6 +276,7 @@ def __init__(self, num_ops: int = 2, magnitude: int = 9, num_magnitude_bins: int
     def _augmentation_space(self, num_bins: int, image_size: List[int]) -> Dict[str, Tuple[Tensor, bool]]:
         return {
             # op_name: (magnitudes, signed)
+            "Identity": (torch.tensor(0.0), False),
             "ShearX": (torch.linspace(0.0, 0.3, num_bins), True),
             "ShearY": (torch.linspace(0.0, 0.3, num_bins), True),
             "TranslateX": (torch.linspace(0.0, 150.0 / 331.0 * image_size[0], num_bins), True),
@@ -289,7 +290,6 @@ def _augmentation_space(self, num_bins: int, image_size: List[int]) -> Dict[str,
             "Solarize": (torch.linspace(256.0, 0.0, num_bins), False),
             "AutoContrast": (torch.tensor(0.0), False),
             "Equalize": (torch.tensor(0.0), False),
-            "Invert": (torch.tensor(0.0), False),
         }
 
     def forward(self, img: Tensor) -> Tensor:
@@ -345,7 +345,7 @@ class TrivialAugmentWide(torch.nn.Module):
             image. If given a number, the value is used for all bands respectively.
         """
 
-    def __init__(self, num_magnitude_bins: int = 30, interpolation: InterpolationMode = InterpolationMode.NEAREST,
+    def __init__(self, num_magnitude_bins: int = 31, interpolation: InterpolationMode = InterpolationMode.NEAREST,
                  fill: Optional[List[float]] = None) -> None:
         super().__init__()
         self.num_magnitude_bins = num_magnitude_bins