Add pyre typeshed information for Tensor.ndim and nn.ConvTranspose2d

Summary: Adding some appropriate methods into pyre typeshed. Removing corresponding pyre-ignore and pyre-fixme messages.

Differential Revision: D22949138

fbshipit-source-id: add8acdd4611ab698954868832594d062cd58f88

pytorch3d/loss/chamfer.py

@@ -41,7 +41,6 @@ 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