423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-08-02 11:52:50 +08:00
Code Issues Packages Projects Releases Wiki Activity

suppress errors in vision/fair/pytorch3d

Browse Source 
Differential Revision: D31042748

fbshipit-source-id: fffb983bd6765d306a407587ddf64e68e57e9ecc
This commit is contained in:
Pyre Bot Jr 2021-09-18 12:03:39 -07:00 committed by Facebook GitHub Bot
parent bd04ffaf77
commit 526df446c6
7 changed files with 0 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
pytorch3d/datasets/r2n2/utils.py
View File

@ -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
"""

3
pytorch3d/io/obj_io.py
View File

@ -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)

1
pytorch3d/io/ply_io.py
View File

@ -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

1
pytorch3d/ops/utils.py
View File

@ -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:
"""

6
pytorch3d/renderer/cameras.py
View File

@ -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

3
pytorch3d/renderer/utils.py
View File

@ -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",
):

5
pytorch3d/transforms/transform3d.py
View File

@ -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: