suppress errors in vision - batch 1

Summary:
This diff is auto-generated to upgrade the Pyre version and suppress errors in vision. The upgrade will affect Pyre local configurations in the following directories:
```
vision/ale/search
vision/fair/fvcore
vision/fair/pytorch3d
vision/ocr/rosetta_hash
vision/vogue/personalization
```

Differential Revision: D21688454

fbshipit-source-id: 1f3c3fee42b6da2e162fd0932742ab8c5c96aa45

pytorch3d/loss/chamfer.py

@@ -41,6 +41,7 @@ def _handle_pointcloud_input(
         lengths = points.num_points_per_cloud()
         normals = points.normals_padded()  # either a tensor or None
     elif torch.is_tensor(points):
+        # pyre-fixme[16]: `Tensor` has no attribute `ndim`.
         if points.ndim != 3:
             raise ValueError("Expected points to be of shape (N, P, D)")
         X = points
@@ -173,6 +174,7 @@ def chamfer_distance(
         )
 
         if is_x_heterogeneous:
+            # pyre-fixme[16]: `int` has no attribute `__setitem__`.
             cham_norm_x[x_mask] = 0.0
         if is_y_heterogeneous:
             cham_norm_y[y_mask] = 0.0

pytorch3d/loss/point_mesh_distance.py

@@ -65,6 +65,7 @@ class _PointFaceDistance(Function):
         return grad_points, None, grad_tris, None, None
 
 
+# pyre-fixme[16]: `_PointFaceDistance` has no attribute `apply`.
 point_face_distance = _PointFaceDistance.apply
 
 
@@ -115,6 +116,7 @@ class _FacePointDistance(Function):
         return grad_points, None, grad_tris, None, None
 
 
+# pyre-fixme[16]: `_FacePointDistance` has no attribute `apply`.
 face_point_distance = _FacePointDistance.apply
 
 
@@ -165,6 +167,7 @@ class _PointEdgeDistance(Function):
         return grad_points, None, grad_segms, None, None
 
 
+# pyre-fixme[16]: `_PointEdgeDistance` has no attribute `apply`.
 point_edge_distance = _PointEdgeDistance.apply
 
 
@@ -215,6 +218,7 @@ class _EdgePointDistance(Function):
         return grad_points, None, grad_segms, None, None
 
 
+# pyre-fixme[16]: `_EdgePointDistance` has no attribute `apply`.
 edge_point_distance = _EdgePointDistance.apply