diff --git a/pytorch3d/implicitron/models/renderer/sdf_renderer.py b/pytorch3d/implicitron/models/renderer/sdf_renderer.py
index 735a8a8c..e06f42d3 100644
--- a/pytorch3d/implicitron/models/renderer/sdf_renderer.py
+++ b/pytorch3d/implicitron/models/renderer/sdf_renderer.py
@@ -219,7 +219,7 @@ def _sample_network(
     surface_dists,
     surface_cam_loc,
     surface_ray_dirs,
-    eps=1e-4,
+    eps: float = 1e-4,
 ):
     # t -> t(theta)
     surface_ray_dirs_0 = surface_ray_dirs.detach()
diff --git a/pytorch3d/implicitron/models/view_pooling/feature_aggregation.py b/pytorch3d/implicitron/models/view_pooling/feature_aggregation.py
index 01022607..1ed6b481 100644
--- a/pytorch3d/implicitron/models/view_pooling/feature_aggregation.py
+++ b/pytorch3d/implicitron/models/view_pooling/feature_aggregation.py
@@ -412,7 +412,7 @@ class AngleWeightedIdentityFeatureAggregator(torch.nn.Module, FeatureAggregatorB
 def _get_reduction_aggregator_feature_dim(
     feats_or_feats_dim: Union[Dict[str, torch.Tensor], int],
     reduction_functions: Sequence[ReductionFunction],
-):
+) -> int:
     if isinstance(feats_or_feats_dim, int):
         feat_dim = feats_or_feats_dim
     else:
diff --git a/pytorch3d/ops/points_normals.py b/pytorch3d/ops/points_normals.py
index 70128814..f9113299 100644
--- a/pytorch3d/ops/points_normals.py
+++ b/pytorch3d/ops/points_normals.py
@@ -167,7 +167,7 @@ def estimate_pointcloud_local_coord_frames(
     return curvatures, local_coord_frames
 
 
-def _disambiguate_vector_directions(pcl, knns, vecs):
+def _disambiguate_vector_directions(pcl, knns, vecs: float) -> float:
     """
     Disambiguates normal directions according to [1].
 
@@ -181,6 +181,7 @@ def _disambiguate_vector_directions(pcl, knns, vecs):
     # each element of the neighborhood
     df = knns - pcl[:, :, None]
     # projection of the difference on the principal direction
+    # pyre-fixme[16]: `float` has no attribute `__getitem__`.
     proj = (vecs[:, :, None] * df).sum(3)
     # check how many projections are positive
     n_pos = (proj > 0).type_as(knns).sum(2, keepdim=True)
diff --git a/pytorch3d/ops/subdivide_meshes.py b/pytorch3d/ops/subdivide_meshes.py
index dec3be74..2dd0cab4 100644
--- a/pytorch3d/ops/subdivide_meshes.py
+++ b/pytorch3d/ops/subdivide_meshes.py
@@ -400,7 +400,7 @@ def create_verts_index(verts_per_mesh, edges_per_mesh, device=None):
     return verts_idx
 
 
-def create_faces_index(faces_per_mesh, device=None):
+def create_faces_index(faces_per_mesh: int, device=None):
     """
     Helper function to group the faces indices for each mesh. New faces are
     stacked at the end of the original faces tensor, so in order to have
@@ -417,7 +417,9 @@ def create_faces_index(faces_per_mesh, device=None):
     """
     # e.g. faces_per_mesh = [2, 5, 3]
 
+    # pyre-fixme[16]: `int` has no attribute `sum`.
     F = faces_per_mesh.sum()  # e.g. 10
+    # pyre-fixme[16]: `int` has no attribute `cumsum`.
     faces_per_mesh_cumsum = faces_per_mesh.cumsum(dim=0)  # (N,) e.g. (2, 7, 10)
 
     switch1_idx = faces_per_mesh_cumsum.clone()
diff --git a/pytorch3d/renderer/cameras.py b/pytorch3d/renderer/cameras.py
index 42fd6471..3b660c3c 100644
--- a/pytorch3d/renderer/cameras.py
+++ b/pytorch3d/renderer/cameras.py
@@ -427,10 +427,10 @@ class CamerasBase(TensorProperties):
 
 
 def OpenGLPerspectiveCameras(
-    znear=1.0,
-    zfar=100.0,
-    aspect_ratio=1.0,
-    fov=60.0,
+    znear: float = 1.0,
+    zfar: float = 100.0,
+    aspect_ratio: float = 1.0,
+    fov: float = 60.0,
     degrees: bool = True,
     R: torch.Tensor = _R,
     T: torch.Tensor = _T,
@@ -709,12 +709,12 @@ class FoVPerspectiveCameras(CamerasBase):
 
 
 def OpenGLOrthographicCameras(
-    znear=1.0,
-    zfar=100.0,
-    top=1.0,
-    bottom=-1.0,
-    left=-1.0,
-    right=1.0,
+    znear: float = 1.0,
+    zfar: float = 100.0,
+    top: float = 1.0,
+    bottom: float = -1.0,
+    left: float = -1.0,
+    right: float = 1.0,
     scale_xyz=((1.0, 1.0, 1.0),),  # (1, 3)
     R: torch.Tensor = _R,
     T: torch.Tensor = _T,
@@ -956,7 +956,7 @@ Note that the MultiView Cameras accept parameters in NDC space.
 
 
 def SfMPerspectiveCameras(
-    focal_length=1.0,
+    focal_length: float = 1.0,
     principal_point=((0.0, 0.0),),
     R: torch.Tensor = _R,
     T: torch.Tensor = _T,
@@ -1194,7 +1194,7 @@ class PerspectiveCameras(CamerasBase):
 
 
 def SfMOrthographicCameras(
-    focal_length=1.0,
+    focal_length: float = 1.0,
     principal_point=((0.0, 0.0),),
     R: torch.Tensor = _R,
     T: torch.Tensor = _T,
@@ -1645,9 +1645,9 @@ def look_at_rotation(
 
 
 def look_at_view_transform(
-    dist=1.0,
-    elev=0.0,
-    azim=0.0,
+    dist: float = 1.0,
+    elev: float = 0.0,
+    azim: float = 0.0,
     degrees: bool = True,
     eye: Optional[Union[Sequence, torch.Tensor]] = None,
     at=((0, 0, 0),),  # (1, 3)
diff --git a/pytorch3d/vis/texture_vis.py b/pytorch3d/vis/texture_vis.py
index ee920c38..a3b0fcd5 100644
--- a/pytorch3d/vis/texture_vis.py
+++ b/pytorch3d/vis/texture_vis.py
@@ -65,7 +65,7 @@ def texturesuv_image_PIL(
     *,
     texture_index: int = 0,
     radius: float = 1,
-    color="red",
+    color: str = "red",
     subsample: Optional[int] = 10000,
 ):  # pragma: no cover
     """