Remove unused `pyre-ignore` or `pyre-fixme`

Reviewed By: bottler

Differential Revision: D47223471

fbshipit-source-id: 8bdabf2a69dd7aec7202141122a9c69220ba7ef1

pytorch3d/vis/plotly_vis.py

@@ -585,21 +585,9 @@ def _add_struct_from_batch(
     if isinstance(batched_struct, CamerasBase):
         # we can't index directly into camera batches
         R, T = batched_struct.R, batched_struct.T
-        # pyre-fixme[6]: Expected `Sized` for 1st param but got `Union[torch.Tensor,
-        #  torch.nn.Module]`.
         r_idx = min(scene_num, len(R) - 1)
-        # pyre-fixme[6]: Expected `Sized` for 1st param but got `Union[torch.Tensor,
-        #  torch.nn.Module]`.
         t_idx = min(scene_num, len(T) - 1)
-        # pyre-fixme[29]:
-        #  `Union[BoundMethod[typing.Callable(torch.Tensor.__getitem__)[[Named(self,
-        #  torch.Tensor), Named(item, typing.Any)], typing.Any], torch.Tensor],
-        #  torch.Tensor, torch.nn.Module]` is not a function.
         R = R[r_idx].unsqueeze(0)
-        # pyre-fixme[29]:
-        #  `Union[BoundMethod[typing.Callable(torch.Tensor.__getitem__)[[Named(self,
-        #  torch.Tensor), Named(item, typing.Any)], typing.Any], torch.Tensor],
-        #  torch.Tensor, torch.nn.Module]` is not a function.
         T = T[t_idx].unsqueeze(0)
         struct = CamerasBase(device=batched_struct.device, R=R, T=T)
     elif _is_ray_bundle(batched_struct) and not _is_heterogeneous_ray_bundle(