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Pre_compute spatial indices for convolutions, etc .. possible ? #87

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tchaton opened this issue Feb 12, 2020 · 3 comments
Open

Pre_compute spatial indices for convolutions, etc .. possible ? #87

tchaton opened this issue Feb 12, 2020 · 3 comments

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@tchaton
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tchaton commented Feb 12, 2020

Dear All,

In the case where the model is known and the data aren't going to be augmented,
will it be possible to pre_compute the spatial locations for the convolution, etc.. , store them with their associated data, and reload them directly during training time in order to speed up the process ?
If yes, do you have any examples ?

Best,
Thomas Chaton

@tchaton tchaton changed the title Pre_compute all the convolution possible ? Pre_compute spatial indices for convolutions, etc .. possible ? Feb 12, 2020
@chrischoy
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It is possible, but it is not implemented. This requires serialization and I'm planning to implement it in the future releases.

@tchaton
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tchaton commented Feb 17, 2020

Hey @chrischoy, Sounds great ! What is the timeline for it ? And do you requiere any help ?

@chrischoy
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I'm working on other stuffs, so I am aiming for mid March for the release. For that, I need to implement serialization and deserialization of 1. coords key, 2. coords map, 3. coords manager, 4. and pybind11 porting all these. If you can contribute to any part of the serialization, that would be great!

Tanazzah pushed a commit to Tanazzah/MinkowskiEngine that referenced this issue Feb 9, 2024
* WIP: PyCoordKey with vec coords

* WIP: Compilation successful

* tests.coords

* fix region_iter, CPU_ONLY build

* Fix pruning, pooling

* Analytics for docs
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