suppress errors in vision/fair/pytorch3d

Differential Revision: D31496551

fbshipit-source-id: 705fd88f319875db3f7938a2946c48a51ea225f5

pytorch3d/ops/marching_cubes.py

@@ -117,7 +117,6 @@ def marching_cubes_naive(
     volume_data_batch = volume_data_batch.detach().cpu()
     batched_verts, batched_faces = [], []
     D, H, W = volume_data_batch.shape[1:]
-    # pyre-ignore [16]
     volume_size_xyz = volume_data_batch.new_tensor([W, H, D])[None]
 
     if return_local_coords:

pytorch3d/ops/points_to_volumes.py

@@ -435,7 +435,6 @@ def _add_points_features_to_volume_densities_features_python(
 
     if volume_features is None:
         # initialize features if not passed in
-        # pyre-fixme[16]: `Tensor` has no attribute `new_zeros`.
         volume_features_flatten = volume_densities.new_zeros(ba, feature_dim, n_voxels)
     else:
         # otherwise just flatten
@@ -478,7 +477,6 @@ def _check_points_to_volumes_inputs(
     mask: Optional[torch.Tensor] = None,
 ):
 
-    # pyre-fixme[16]: `Tuple` has no attribute `values`.
     max_grid_size = grid_sizes.max(dim=0).values
     if torch.prod(max_grid_size) > volume_densities.shape[1]:
         raise ValueError(

pytorch3d/ops/sample_farthest_points.py

@@ -134,7 +134,6 @@ def sample_farthest_points_naive(
         # Initialize closest distances to inf, shape: (P,)
         # This will be updated at each iteration to track the closest distance of the
         # remaining points to any of the selected points
-        # pyre-fixme[16]: `torch.Tensor` has no attribute new_full.
         closest_dists = points.new_full(
             (lengths[n],), float("inf"), dtype=torch.float32
         )