diff --git a/pytorch3d/loss/point_mesh_distance.py b/pytorch3d/loss/point_mesh_distance.py
index b30cd05e..32bb71dd 100644
--- a/pytorch3d/loss/point_mesh_distance.py
+++ b/pytorch3d/loss/point_mesh_distance.py
@@ -6,6 +6,7 @@
 
 # pyre-unsafe
 
+import torch
 from pytorch3d import _C
 from pytorch3d.structures import Meshes, Pointclouds
 from torch.autograd import Function
@@ -302,8 +303,7 @@ def point_mesh_edge_distance(meshes: Meshes, pcls: Pointclouds):
     point_to_cloud_idx = pcls.packed_to_cloud_idx()  # (sum(P_i), )
     num_points_per_cloud = pcls.num_points_per_cloud()  # (N,)
     weights_p = num_points_per_cloud.gather(0, point_to_cloud_idx)
-    # pyre-fixme[58]: `/` is not supported for operand types `float` and `Tensor`.
-    weights_p = 1.0 / weights_p.float()
+    weights_p = torch.reciprocal(weights_p.float())
     point_to_edge = point_to_edge * weights_p
     point_dist = point_to_edge.sum() / N
 
@@ -377,8 +377,7 @@ def point_mesh_face_distance(
     point_to_cloud_idx = pcls.packed_to_cloud_idx()  # (sum(P_i),)
     num_points_per_cloud = pcls.num_points_per_cloud()  # (N,)
     weights_p = num_points_per_cloud.gather(0, point_to_cloud_idx)
-    # pyre-fixme[58]: `/` is not supported for operand types `float` and `Tensor`.
-    weights_p = 1.0 / weights_p.float()
+    weights_p = torch.reciprocal(weights_p.float())
     point_to_face = point_to_face * weights_p
     point_dist = point_to_face.sum() / N