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Use sparse convolution with the PSF in the simulation to avoid conversion to a dense matrix. This can save memory and be much faster.
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Hello, thank you for the open source code.
After reading your article and code, I have a question. Why is it faster on the Argo2 dataset than VoxelNeXt?
SAFDNet has significantly more Sparse con…
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RuntimeError: [Minuet] [/home/yu/work/Minuet/csrc/minuet/torch/cuda_sparse_convolution_forward.cu (212)] Cannot find implementation of CUDASparseConvolutionForward
How can I fix this bug? While Mi…
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Hello. Thank you for your excellent work. I would like to know how you handle gaussians that fall on the same grid during sparse convolution.
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In Sparse/models/SparseTSF.py, the kernel size of nn.Conv1d() is set to 1 + 2 * self.period_len // 2. As I try to use an odd period_len, It will raise error saying the shape of input x can not match i…
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Dear author,
When I was testing the performance of the model, I was confused about the efficiency of the 2D sparse operation, so I did the following experiment and found that 2D sparse convolution …
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### Motivation and description
For many applications (graph neural networks, 3d point clouds, ...) sparse convolution would be a cool feature
### Possible Implementation
A guide to implementation i…
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See below the code.
```
Collecting pyfai [364 lines of output]
+ meson setup /tmp/pip-install-q28iyqht/pyfai_fb1f494d1245454da3ebea7b246b976a /tmp/pip-install-q28iyqht/pyfai_fb1f494d1245454…
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Hi, in your PTv3 paper, a variety of positional encoding method are discussed, with CPE being chosen and implemented using SpConv.
Considering hardware constraints, storing grid positions and perfo…
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hi,when pytorch can support sparse convolution in pytroch master?thanks.
cc @vincentqb