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Fixed last dimension size check so that it doesn't trivially pass. (#1815)

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Summary:
Currently, it checks that the `2`th dimension of `p2` is the same size as the `2`th dimension of `p2` instead of `p1`.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1815

Reviewed By: MichaelRamamonjisoa

Differential Revision: D58586966

Pulled By: bottler

fbshipit-source-id: d4f723fa264f90fe368c10825c1acdfdc4c406dc
This commit is contained in:
Kyle Vedder 2024-06-17 06:00:13 -07:00 committed by Facebook GitHub Bot
parent 302da69461
commit 717493cb79
1 changed files with 1 additions and 1 deletions
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pytorch3d/csrc/knn/knn.cu
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@ -338,7 +338,7 @@ std::tuple<at::Tensor, at::Tensor> KNearestNeighborIdxCuda(
TORCH_CHECK((norm == 1) || (norm == 2), "Norm must be 1 or 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");
auto long_dtype = lengths1.options().dtype(at::kLong);
auto idxs = at::zeros({N, P1, K}, long_dtype);
auto dists = at::zeros({N, P1, K}, p1.options());