diff --git a/pytorch3d/ops/graph_conv.py b/pytorch3d/ops/graph_conv.py
index 2d997b25..0de1adc5 100644
--- a/pytorch3d/ops/graph_conv.py
+++ b/pytorch3d/ops/graph_conv.py
@@ -39,7 +39,6 @@ class GraphConv(nn.Module):
         if init == "normal":
             nn.init.normal_(self.w0.weight, mean=0, std=0.01)
             nn.init.normal_(self.w1.weight, mean=0, std=0.01)
-            # pyre-fixme[16]: Optional type has no attribute `data`.
             self.w0.bias.data.zero_()
             self.w1.bias.data.zero_()
         elif init == "zero":
diff --git a/pytorch3d/ops/vert_align.py b/pytorch3d/ops/vert_align.py
index bfcbb76e..06c2d462 100644
--- a/pytorch3d/ops/vert_align.py
+++ b/pytorch3d/ops/vert_align.py
@@ -87,6 +87,7 @@ def vert_align(
             padding_mode=padding_mode,
             align_corners=align_corners,
         )  # (N, C, 1, V)
+        # pyre-fixme[28]: Unexpected keyword argument `dim`.
         feat_sampled = feat_sampled.squeeze(dim=2).transpose(1, 2)  # (N, V, C)
         feats_sampled.append(feat_sampled)
     feats_sampled = torch.cat(feats_sampled, dim=2)  # (N, V, sum(C))
diff --git a/pytorch3d/renderer/mesh/shader.py b/pytorch3d/renderer/mesh/shader.py
index 6977c04b..755b213d 100644
--- a/pytorch3d/renderer/mesh/shader.py
+++ b/pytorch3d/renderer/mesh/shader.py
@@ -64,6 +64,7 @@ class HardPhongShader(nn.Module):
         self.cameras = cameras
         self.blend_params = blend_params if blend_params is not None else BlendParams()
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device):
         # Manually move to device modules which are not subclasses of nn.Module
         cameras = self.cameras
@@ -126,6 +127,7 @@ class SoftPhongShader(nn.Module):
         self.cameras = cameras
         self.blend_params = blend_params if blend_params is not None else BlendParams()
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device):
         # Manually move to device modules which are not subclasses of nn.Module
         cameras = self.cameras
@@ -193,6 +195,7 @@ class HardGouraudShader(nn.Module):
         self.cameras = cameras
         self.blend_params = blend_params if blend_params is not None else BlendParams()
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device):
         # Manually move to device modules which are not subclasses of nn.Module
         cameras = self.cameras
@@ -259,6 +262,7 @@ class SoftGouraudShader(nn.Module):
         self.cameras = cameras
         self.blend_params = blend_params if blend_params is not None else BlendParams()
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device):
         # Manually move to device modules which are not subclasses of nn.Module
         cameras = self.cameras
@@ -346,6 +350,7 @@ class HardFlatShader(nn.Module):
         self.cameras = cameras
         self.blend_params = blend_params if blend_params is not None else BlendParams()
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device):
         # Manually move to device modules which are not subclasses of nn.Module
         cameras = self.cameras
diff --git a/pytorch3d/renderer/mesh/textures.py b/pytorch3d/renderer/mesh/textures.py
index bddf624e..3407d863 100644
--- a/pytorch3d/renderer/mesh/textures.py
+++ b/pytorch3d/renderer/mesh/textures.py
@@ -131,7 +131,12 @@ def _pad_texture_maps(
         if image.shape[:2] != max_shape:
             image_BCHW = image.permute(2, 0, 1)[None]
             new_image_BCHW = interpolate(
-                image_BCHW, size=max_shape, mode="bilinear", align_corners=align_corners
+                image_BCHW,
+                # pyre-fixme[6]: Expected `Optional[int]` for 2nd param but got
+                #  `Tuple[int, int]`.
+                size=max_shape,
+                mode="bilinear",
+                align_corners=align_corners,
             )
             tex_maps[i] = new_image_BCHW[0].permute(1, 2, 0)
     tex_maps = torch.stack(tex_maps, dim=0)  # (num_tex_maps, max_H, max_W, C)
diff --git a/pytorch3d/renderer/utils.py b/pytorch3d/renderer/utils.py
index 9cf5330a..fd99e8a4 100644
--- a/pytorch3d/renderer/utils.py
+++ b/pytorch3d/renderer/utils.py
@@ -163,6 +163,7 @@ class TensorProperties(nn.Module):
         msg = "Expected index of type int or slice; got %r"
         raise ValueError(msg % type(index))
 
+    # pyre-fixme[14]: `to` overrides method defined in `Module` inconsistently.
     def to(self, device: Device = "cpu") -> "TensorProperties":
         """
         In place operation to move class properties which are tensors to a
@@ -180,6 +181,7 @@ class TensorProperties(nn.Module):
     def cpu(self) -> "TensorProperties":
         return self.to("cpu")
 
+    # pyre-fixme[14]: `cuda` overrides method defined in `Module` inconsistently.
     def cuda(self, device: Optional[int] = None) -> "TensorProperties":
         return self.to(f"cuda:{device}" if device is not None else "cuda")