diff --git a/pytorch3d/ops/points_to_volumes.py b/pytorch3d/ops/points_to_volumes.py
index 4e29fec1..3a27ebc0 100644
--- a/pytorch3d/ops/points_to_volumes.py
+++ b/pytorch3d/ops/points_to_volumes.py
@@ -385,7 +385,6 @@ def splat_points_to_volumes(
                 volume_features.scatter_add_(2, idx_valid, w_valid * points_features)
 
     # divide each feature by the total weight of the votes
-    # pyre-fixme[20]: Argument `max` expected.
     volume_features = volume_features / volume_densities.view(ba, 1, n_voxels).clamp(
         min_weight
     )
@@ -495,7 +494,6 @@ def round_points_to_volumes(
     volume_features.scatter_add_(2, idx_valid, w_valid * points_features)
 
     # divide each feature by the total weight of the votes
-    # pyre-fixme[20]: Argument `max` expected.
     volume_features = volume_features / volume_densities.view(ba, 1, n_voxels).clamp(
         1.0
     )
diff --git a/pytorch3d/renderer/blending.py b/pytorch3d/renderer/blending.py
index d91a4969..8bc26ea0 100644
--- a/pytorch3d/renderer/blending.py
+++ b/pytorch3d/renderer/blending.py
@@ -209,7 +209,6 @@ def softmax_rgb_blend(
 
     # Also apply exp normalize trick for the background color weight.
     # Clamp to ensure delta is never 0.
-    # pyre-fixme[20]: Argument `max` expected.
     # pyre-fixme[6]: Expected `Tensor` for 1st param but got `float`.
     delta = torch.exp((eps - z_inv_max) / blend_params.gamma).clamp(min=eps)