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lint fixes

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Summary: Resolved trailing whitespace warnings.

Reviewed By: gkioxari

Differential Revision: D21023982

fbshipit-source-id: 14ea2ca372c13cfa987acc260264ca99ce44c461
This commit is contained in:
Nikhila Ravi
2020-04-15 21:56:48 -07:00
committed by Facebook GitHub Bot
parent 3794f6753f
commit b530b0af32
3 changed files with 12 additions and 12 deletions
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14
pytorch3d/loss/point_mesh_distance.py
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@@ -41,10 +41,10 @@ class _PointFaceDistance(Function):
in the corresponding example in the batch
idxs: LongTensor of shape `(P,)` indicating the closest triangular face
in the corresponindg example in the batch.
`dists[p] = d(points[p], tris[idxs[p], 0], tris[idxs[p], 1], tris[idxs[p], 2])`
where `d(u, v0, v1, v2)` is the distance of point `u` from the trianfular face `(v0, v1, v2)`
"""
dists, idxs = _C.point_face_dist_forward(
points, points_first_idx, tris, tris_first_idx, max_points
@@ -91,7 +91,7 @@ class _FacePointDistance(Function):
corresponding example in the batch
idxs: LongTensor of shape `(T,)` indicating the closest point in the
corresponindg example in the batch.
`dists[t] = d(points[idxs[t]], tris[t, 0], tris[t, 1], tris[t, 2])`,
where `d(u, v0, v1, v2)` is the distance of point `u` from the triangular
face `(v0, v1, v2)`.
@@ -141,7 +141,7 @@ class _PointEdgeDistance(Function):
corresponding example in the batch
idxs: LongTensor of shape `(P,)` indicating the closest edge in the
corresponindg example in the batch.
`dists[p] = d(points[p], segms[idxs[p], 0], segms[idxs[p], 1])`,
where `d(u, v0, v1)` is the distance of point `u` from the edge segment
spanned by `(v0, v1)`.
@@ -191,7 +191,7 @@ class _EdgePointDistance(Function):
corresponding example in the batch
idxs: LongTensor of shape `(S,)` indicating the closest point in the
corresponindg example in the batch.
`dists[s] = d(points[idxs[s]], edges[s, 0], edges[s, 1])`,
where `d(u, v0, v1)` is the distance of point `u` from the segment
spanned by `(v0, v1)`.
@@ -226,7 +226,7 @@ def point_mesh_edge_distance(meshes: Meshes, pcls: Pointclouds):
to the closest edge segment in mesh and averages across all points in pcl
`edge_point(mesh, pcl)`: Computes the squared distance of each edge segment in mesh
to the closest point in pcl and averages across all edges in mesh.
The above distance functions are applied for all `(mesh, pcl)` pairs in the batch and
then averaged across the batch.
@@ -293,7 +293,7 @@ def point_mesh_face_distance(meshes: Meshes, pcls: Pointclouds):
to the closest triangular face in mesh and averages across all points in pcl
`face_point(mesh, pcl)`: Computes the squared distance of each triangular face in mesh
to the closest point in pcl and averages across all faces in mesh.
The above distance functions are applied for all `(mesh, pcl)` pairs in the batch and
then averaged across the batch.