Torchsparse
Visit ToolTorchSparse is a high-performance neural network library for point cloud processing. It offers an efficient training and inference framework for sparse convolution on GPUs.
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TorchSparse is a high-performance neural network library for point cloud processing. It offers an efficient training and inference framework for sparse convolution on GPUs.
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About
TorchSparse is a high-performance neural network library specifically designed for efficient point cloud processing. It provides an optimized framework for sparse convolution on GPUs, addressing the unique computational challenges of point cloud data in applications like autonomous driving. The library systematically analyzes and improves existing dataflows for convolution, leading to significant speedups over state-of-the-art systems like MinkowskiEngine and SpConv. TorchSparse supports both inference and training benchmarks, demonstrating superior performance across various GPU architectures and precisions. It is developed by a team from MIT EECS and other institutions, with ongoing advancements like TorchSparse++ supporting MMDetection3D and OpenPCDet.
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