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Fix dimension check (#524)

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Summary:
Fixes the assertion that `p1` and `p2` have the same last dimension. The issue was that `D` is set to equal `p2.size(2)`, and then `D` is compared to `p2.size(2)`. The fix instead compares `D` to `p1.size(2).

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/524

Reviewed By: bottler

Differential Revision: D26008688

Pulled By: nikhilaravi

fbshipit-source-id: e32afe9da127d81b1a411d3c223b539a7400597b
This commit is contained in:
Penn 2021-01-22 11:01:58 -08:00 committed by Facebook GitHub Bot
parent 2ee11c7845
commit e58a730e6a
1 changed files with 1 additions and 1 deletions
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pytorch3d/csrc/knn/knn.cu
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@ -505,7 +505,7 @@ std::tuple<at::Tensor, at::Tensor> KNearestNeighborBackwardCuda(
const auto D = p2.size(2);
const auto K = idxs.size(2);
TORCH_CHECK(p2.size(2) == D, "Point sets must have the same last dimension");
TORCH_CHECK(p1.size(2) == D, "Point sets must have the same last dimension");
TORCH_CHECK(idxs.size(0) == N, "KNN idxs must have the same batch dimension");
TORCH_CHECK(
idxs.size(1) == P1, "KNN idxs must have the same point dimension as p1");