FlashSinkhorn

FlashSinkhorn provides streaming entropic optimal-transport kernels for PyTorch and Triton. It computes squared-Euclidean Sinkhorn losses without materializing the full cost matrix.

Source code, documentation, and issues live in the GitHub repository: ot-triton-lab/flash-sinkhorn.

Usage

from kernels import get_kernel

flash_sinkhorn = get_kernel("yexf308/flash-sinkhorn", version=1)
loss = flash_sinkhorn.SamplesLoss(loss="sinkhorn", blur=0.1, debias=True)

The input tensors must be CUDA tensors and require PyTorch and Triton.

Links

• GitHub repository: https://github.com/ot-triton-lab/flash-sinkhorn
• Paper: https://arxiv.org/abs/2602.03067 (FlashSinkhorn, ICML 2026 Oral)