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[Feature Request] Add support for pooling blocks #263

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Tortoise0Knight opened this issue Nov 13, 2023 · 3 comments
Open

[Feature Request] Add support for pooling blocks #263

Tortoise0Knight opened this issue Nov 13, 2023 · 3 comments
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enhancement New feature or request

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@Tortoise0Knight
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e.g. The implementation in MinkowskiEngine: https://nvidia.github.io/MinkowskiEngine/pooling.html#minkowskimaxpooling.
I only found global_max_pool()

@ys-2020 ys-2020 self-assigned this Nov 14, 2023
@ys-2020
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ys-2020 commented Nov 14, 2023

Hi. We haven't implemented those pooling kernels yet. We will consider to implement them. Thank you for reaching out!

@zhijian-liu zhijian-liu added the enhancement New feature or request label Dec 11, 2023
@YilmazKadir
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I also need average pooling for my application case and would appreciate it if you could implement this. Also, I would be happy if you could suggest a way to implement average pooling with convolutions. I thought using convolutions with all kernel elements = 1/N but N needs to be the number of active voxels inside the receptive field and I do not know how I can get that number.

@kabouzeid
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kabouzeid commented Apr 8, 2024

Yes, that would be extremely useful. I was in the process of migrating my code for Minkowski, but sadly the lack of pooling layers make this impossible now.

@zhijian-liu @kentang-mit

@zhijian-liu zhijian-liu changed the title Does torchsparse support pooling blocks? [Feature Request] Add support for pooling blocks Jul 31, 2024
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