suppress errors in vision/fair/pytorch3d

Differential Revision: D41897914

fbshipit-source-id: 675f4ad6938bc12d295bbb63a69e3ff98b319a9a

pytorch3d/loss/point_mesh_distance.py

@@ -88,7 +88,6 @@ class _PointFaceDistance(Function):
         return grad_points, None, grad_tris, None, None, None
 
 
-# pyre-fixme[16]: `_PointFaceDistance` has no attribute `apply`.
 point_face_distance = _PointFaceDistance.apply
 
 
@@ -151,7 +150,6 @@ class _FacePointDistance(Function):
         return grad_points, None, grad_tris, None, None, None
 
 
-# pyre-fixme[16]: `_FacePointDistance` has no attribute `apply`.
 face_point_distance = _FacePointDistance.apply
 
 
@@ -202,7 +200,6 @@ class _PointEdgeDistance(Function):
         return grad_points, None, grad_segms, None, None
 
 
-# pyre-fixme[16]: `_PointEdgeDistance` has no attribute `apply`.
 point_edge_distance = _PointEdgeDistance.apply
 
 
@@ -253,7 +250,6 @@ class _EdgePointDistance(Function):
         return grad_points, None, grad_segms, None, None
 
 
-# pyre-fixme[16]: `_EdgePointDistance` has no attribute `apply`.
 edge_point_distance = _EdgePointDistance.apply
 
 

pytorch3d/ops/ball_query.py

@@ -132,7 +132,6 @@ def ball_query(
     if lengths2 is None:
         lengths2 = torch.full((N,), P2, dtype=torch.int64, device=p1.device)
 
-    # pyre-fixme[16]: `_ball_query` has no attribute `apply`.
     dists, idx = _ball_query.apply(p1, p2, lengths1, lengths2, K, radius)
 
     # Gather the neighbors if needed

pytorch3d/ops/graph_conv.py

@@ -171,5 +171,4 @@ class GatherScatter(Function):
         return grad_input, grad_edges, grad_directed
 
 
-# pyre-fixme[16]: `GatherScatter` has no attribute `apply`.
 gather_scatter = GatherScatter.apply

pytorch3d/ops/interp_face_attrs.py

@@ -56,7 +56,6 @@ def interpolate_face_attributes(
     pix_to_face = pix_to_face.view(-1)
     barycentric_coords = barycentric_coords.view(N * H * W * K, 3)
     args = (pix_to_face, barycentric_coords, face_attributes)
-    # pyre-fixme[16]: `_InterpFaceAttrs` has no attribute `apply`.
     out = _InterpFaceAttrs.apply(*args)
     out = out.view(N, H, W, K, -1)
     return out

pytorch3d/ops/iou_box3d.py

@@ -161,7 +161,6 @@ def box3d_overlap(
     _check_nonzero(boxes1, eps)
     _check_nonzero(boxes2, eps)
 
-    # pyre-fixme[16]: `_box3d_overlap` has no attribute `apply`.
     vol, iou = _box3d_overlap.apply(boxes1, boxes2)
 
     return vol, iou

pytorch3d/ops/knn.py

@@ -184,7 +184,6 @@ def knn_points(
     if lengths2 is None:
         lengths2 = torch.full((p1.shape[0],), P2, dtype=torch.int64, device=p1.device)
 
-    # pyre-fixme[16]: `_knn_points` has no attribute `apply`.
     p1_dists, p1_idx = _knn_points.apply(
         p1, p2, lengths1, lengths2, K, version, norm, return_sorted
     )

pytorch3d/ops/marching_cubes.py

@@ -278,7 +278,6 @@ def marching_cubes(
     for i in range(len(vol_batch)):
         vol = vol_batch[i]
         thresh = ((vol.max() + vol.min()) / 2).item() if isolevel is None else isolevel
-        # pyre-fixme[16]: `_marching_cubes` has no attribute `apply`.
         verts, faces, ids = _marching_cubes.apply(vol, thresh)
         if len(faces) > 0 and len(verts) > 0:
             # Convert from world coordinates ([0, D-1], [0, H-1], [0, W-1]) to

pytorch3d/ops/mesh_face_areas_normals.py

@@ -63,5 +63,4 @@ class _MeshFaceAreasNormals(Function):
         return grad_verts, None
 
 
-# pyre-fixme[16]: `_MeshFaceAreasNormals` has no attribute `apply`.
 mesh_face_areas_normals = _MeshFaceAreasNormals.apply

pytorch3d/ops/packed_to_padded.py

@@ -91,7 +91,6 @@ def packed_to_padded(
         inputs = inputs.unsqueeze(1)
     else:
         inputs = inputs.reshape(input_shape[0], -1)
-    # pyre-ignore [16]
     inputs_padded = _PackedToPadded.apply(inputs, first_idxs, max_size)
     # if flat is True, reshape output to (N, max_size) from (N, max_size, 1)
     # else reshape output to (N, max_size, ...)
@@ -188,7 +187,6 @@ def padded_to_packed(
         inputs = inputs.unsqueeze(2)
     else:
         inputs = inputs.reshape(*input_shape[:2], -1)
-    # pyre-ignore [16]
     inputs_packed = _PaddedToPacked.apply(inputs, first_idxs, num_inputs)
     # if input is flat, reshape output to (F,) from (F, 1)
     # else reshape output to (F, ...)

pytorch3d/ops/points_to_volumes.py

@@ -183,7 +183,6 @@ class _points_to_volumes_function(Function):
         )
 
 
-# pyre-fixme[16]: `_points_to_volumes_function` has no attribute `apply`.
 _points_to_volumes = _points_to_volumes_function.apply
 
 

pytorch3d/renderer/blending.py

@@ -108,7 +108,6 @@ class _SigmoidAlphaBlend(torch.autograd.Function):
         return grad_dists, None, None
 
 
-# pyre-fixme[16]: `_SigmoidAlphaBlend` has no attribute `apply`.
 _sigmoid_alpha = _SigmoidAlphaBlend.apply
 
 

pytorch3d/renderer/compositing.py

@@ -90,7 +90,6 @@ def alpha_composite(pointsidx, alphas, pt_clds) -> torch.Tensor:
         Combined features: Tensor of shape (N, C, image_size, image_size)
             giving the accumulated features at each point.
     """
-    # pyre-fixme[16]: `_CompositeAlphaPoints` has no attribute `apply`.
     return _CompositeAlphaPoints.apply(pt_clds, alphas, pointsidx)
 
 
@@ -169,7 +168,6 @@ def norm_weighted_sum(pointsidx, alphas, pt_clds) -> torch.Tensor:
         Combined features: Tensor of shape (N, C, image_size, image_size)
             giving the accumulated features at each point.
     """
-    # pyre-fixme[16]: `_CompositeNormWeightedSumPoints` has no attribute `apply`.
     return _CompositeNormWeightedSumPoints.apply(pt_clds, alphas, pointsidx)
 
 
@@ -241,5 +239,4 @@ def weighted_sum(pointsidx, alphas, pt_clds) -> torch.Tensor:
         Combined features: Tensor of shape (N, C, image_size, image_size)
             giving the accumulated features at each point.
     """
-    # pyre-fixme[16]: `_CompositeWeightedSumPoints` has no attribute `apply`.
     return _CompositeWeightedSumPoints.apply(pt_clds, alphas, pointsidx)

pytorch3d/renderer/mesh/rasterize_meshes.py

@@ -220,7 +220,6 @@ def rasterize_meshes(
     if max_faces_per_bin is None:
         max_faces_per_bin = int(max(10000, meshes._F / 5))
 
-    # pyre-fixme[16]: `_RasterizeFaceVerts` has no attribute `apply`.
     pix_to_face, zbuf, barycentric_coords, dists = _RasterizeFaceVerts.apply(
         face_verts,
         mesh_to_face_first_idx,

pytorch3d/renderer/points/pulsar/renderer.py

@@ -628,7 +628,6 @@ class Renderer(torch.nn.Module):
                     max_depth / focal_lengths.min().item(),
                 )
             )
-        # pyre-fixme[16]: `_Render` has no attribute `apply`.
         ret_res = _Render.apply(
             vert_pos,
             vert_col,

pytorch3d/renderer/points/rasterize_points.py

@@ -128,7 +128,6 @@ def rasterize_points(
 
     # Function.apply cannot take keyword args, so we handle defaults in this
     # wrapper and call apply with positional args only
-    # pyre-fixme[16]: `_RasterizePoints` has no attribute `apply`.
     return _RasterizePoints.apply(
         points_packed,
         cloud_to_packed_first_idx,