Fix: GaussianProjectionBackward dLossDQuat missing warpSum#435
Merged
swahtz merged 2 commits intoopenvdb:mainfrom Feb 9, 2026
Merged
Fix: GaussianProjectionBackward dLossDQuat missing warpSum#435swahtz merged 2 commits intoopenvdb:mainfrom
GaussianProjectionBackward dLossDQuat missing warpSum#435swahtz merged 2 commits intoopenvdb:mainfrom
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Signed-off-by: Jonathan Swartz <jonathan@jswartz.info>
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Pull request overview
This PR fixes a critical bug in the CUDA kernel for Gaussian projection backward pass where gradient accumulation for quaternion parameters was incomplete. The missing warpSum operation caused only a single thread's gradients to be used instead of properly summing gradients across all threads in a warp group.
Changes:
- Added missing
warpSum(dLossDQuat, warp_group_g)call before writing quaternion gradients to ensure proper reduction across threads
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GaussianProjectxionBackward dLossDQuat missing warpSumGaussianProjectionBackward dLossDQuat missing warpSum
harrism
approved these changes
Feb 3, 2026
Signed-off-by: Jonathan Swartz <jonathan@jswartz.info>
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Fixed
dLossDQuatmissing thewarpSumwhere gradients across all cameras need to be summed before writing to output. The other quantities (point, covar, scale) are correctly summed butdLossDQuatwas missing awarpSum, leading to only the gradients from thread rank 0 (1 camera) to be used for this quantity.