Scatter extension question #2509
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Hi, hope you're doing well. I have a set of clusters of irregular size, and would like to apply a different function to each of these clusters. More specifically, the clusters are sets of points in different coordinate frames and I need to apply a transformation matrix to the points. Is there a scatter-like function or technique where I can assign each of the clusters a different transformation matrix to apply or am I doomed to either iterate each cluster manually or tile the transformation matrix across the set of all clusters points? |
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I guess so :( I don't think there is an elegant way to parallelize that in a SIMD-based architecture like CUDA. Perhabs you can get some speed ups via Dynamic Parallelism in TorchScript: https://pytorch.org/tutorials/advanced/torch-script-parallelism.html. |
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I guess so :( I don't think there is an elegant way to parallelize that in a SIMD-based architecture like CUDA. Perhabs you can get some speed ups via Dynamic Parallelism in TorchScript: https://pytorch.org/tutorials/advanced/torch-script-parallelism.html.