diff --git a/pytorch3d/datasets/r2n2/utils.py b/pytorch3d/datasets/r2n2/utils.py
index 0bb52ae1..a2e64850 100644
--- a/pytorch3d/datasets/r2n2/utils.py
+++ b/pytorch3d/datasets/r2n2/utils.py
@@ -458,6 +458,8 @@ class BlenderCamera(CamerasBase):  # pragma: no cover
 
     def get_projection_transform(self, **kwargs) -> Transform3d:
         transform = Transform3d(device=self.device)
+        # pyre-fixme[29]: `Union[(self: TensorBase, dim0: int, dim1: int) -> Tensor,
+        #  Tensor, Module]` is not a function.
         transform._matrix = self.K.transpose(1, 2).contiguous()
         return transform
 
diff --git a/pytorch3d/ops/cameras_alignment.py b/pytorch3d/ops/cameras_alignment.py
index b6575902..5986206f 100644
--- a/pytorch3d/ops/cameras_alignment.py
+++ b/pytorch3d/ops/cameras_alignment.py
@@ -181,6 +181,8 @@ def _align_camera_extrinsics(
         ```
     """
     # pyre-fixme[6]: For 1st argument expected `Tensor` but got `Union[Tensor, Module]`.
+    # pyre-fixme[29]: `Union[(self: TensorBase, dim0: int, dim1: int) -> Tensor,
+    #  Tensor, Module]` is not a function.
     RRcov = torch.bmm(cameras_src.R, cameras_tgt.R.transpose(2, 1)).mean(0)
     U, _, V = torch.svd(RRcov)
     align_t_R = V @ U.t()