suppress errors in vision/fair/pytorch3d

Differential Revision: D31042748

fbshipit-source-id: fffb983bd6765d306a407587ddf64e68e57e9ecc

pytorch3d/datasets/r2n2/utils.py

@@ -146,7 +146,6 @@ def compute_extrinsic_matrix(azimuth, elevation, distance):  # pragma: no cover
 def read_binvox_coords(
     f,
     integer_division: bool = True,
-    # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
     dtype: torch.dtype = torch.float32,
 ):  # pragma: no cover
     """

pytorch3d/io/obj_io.py

@@ -576,19 +576,16 @@ def _load_obj(
         mtl_path,
     ) = _parse_obj(f_obj, data_dir)
 
-    # pyre-fixme[6]: Expected `dtype` for 3rd param but got `Type[torch.float32]`.
     verts = _make_tensor(verts, cols=3, dtype=torch.float32, device=device)  # (V, 3)
     normals = _make_tensor(
         normals,
         cols=3,
-        # pyre-fixme[6]: Expected `dtype` for 3rd param but got `Type[torch.float32]`.
         dtype=torch.float32,
         device=device,
     )  # (N, 3)
     verts_uvs = _make_tensor(
         verts_uvs,
         cols=2,
-        # pyre-fixme[6]: Expected `dtype` for 3rd param but got `Type[torch.float32]`.
         dtype=torch.float32,
         device=device,
     )  # (T, 2)

pytorch3d/io/ply_io.py

@@ -884,7 +884,6 @@ def _get_verts(
         and vertex[0].ndim == 2
         and vertex[0].shape[1] == 3
     ):
-        # pyre-fixme[6]: Expected `dtype` for 3rd param but got `Type[torch.float32]`.
         return _make_tensor(vertex[0], cols=3, dtype=torch.float32), None, None
 
     vertex_colors = None

pytorch3d/ops/utils.py

@@ -106,7 +106,6 @@ def eyes(
     dim: int,
     N: int,
     device: Optional[torch.device] = None,
-    # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
     dtype: torch.dtype = torch.float32,
 ) -> torch.Tensor:
     """

pytorch3d/renderer/cameras.py

@@ -253,8 +253,6 @@ class CamerasBase(TensorProperties):
         input points to the renderer to be in NDC space.
         """
         if self.in_ndc():
-            # pyre-fixme[6]: Expected `dtype` for 2nd param but got
-            #  `Type[torch.float32]`.
             return Transform3d(device=self.device, dtype=torch.float32)
         else:
             # For custom cameras which can be defined in screen space,
@@ -1033,8 +1031,6 @@ class PerspectiveCameras(CamerasBase):
         i.e. +X left, +Y up.
         """
         if self.in_ndc():
-            # pyre-fixme[6]: Expected `dtype` for 2nd param but got
-            #  `Type[torch.float32]`.
             ndc_transform = Transform3d(device=self.device, dtype=torch.float32)
         else:
             # when cameras are defined in screen/image space, the principal point is
@@ -1233,8 +1229,6 @@ class OrthographicCameras(CamerasBase):
         i.e. +X left, +Y up.
         """
         if self.in_ndc():
-            # pyre-fixme[6]: Expected `dtype` for 2nd param but got
-            #  `Type[torch.float32]`.
             ndc_transform = Transform3d(device=self.device, dtype=torch.float32)
         else:
             # when cameras are defined in screen/image space, the principal point is

pytorch3d/renderer/utils.py

@@ -96,7 +96,6 @@ class TensorProperties(nn.Module):
 
     def __init__(
         self,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
         dtype: torch.dtype = torch.float32,
         device: Device = "cpu",
         **kwargs,
@@ -278,7 +277,6 @@ class TensorProperties(nn.Module):
 
 def format_tensor(
     input,
-    # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
     dtype: torch.dtype = torch.float32,
     device: Device = "cpu",
 ) -> torch.Tensor:
@@ -309,7 +307,6 @@ def format_tensor(
 
 def convert_to_tensors_and_broadcast(
     *args,
-    # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
     dtype: torch.dtype = torch.float32,
     device: Device = "cpu",
 ):

pytorch3d/transforms/transform3d.py

@@ -142,7 +142,6 @@ class Transform3d:
 
     def __init__(
         self,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
         dtype: torch.dtype = torch.float32,
         device: Device = "cpu",
         matrix: Optional[torch.Tensor] = None,
@@ -462,7 +461,6 @@ class Translate(Transform3d):
         x,
         y=None,
         z=None,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
         dtype: torch.dtype = torch.float32,
         device: Optional[Device] = None,
     ) -> None:
@@ -504,7 +502,6 @@ class Scale(Transform3d):
         x,
         y=None,
         z=None,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
         dtype: torch.dtype = torch.float32,
         device: Optional[Device] = None,
     ) -> None:
@@ -550,7 +547,6 @@ class Rotate(Transform3d):
     def __init__(
         self,
         R: torch.Tensor,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float32]`.
         dtype: torch.dtype = torch.float32,
         device: Optional[Device] = None,
         orthogonal_tol: float = 1e-5,
@@ -592,7 +588,6 @@ class RotateAxisAngle(Rotate):
         angle,
         axis: str = "X",
         degrees: bool = True,
-        # pyre-fixme[9]: dtype has type `dtype`; used as `Type[torch.float64]`.
         dtype: torch.dtype = torch.float64,
         device: Optional[Device] = None,
     ) -> None: