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OpenDAS
torch-scatter
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6a5e73fb
".github/vscode:/vscode.git/clone" did not exist on "7c227fbde6f99f6c8f45fd391e29e3fd23551c01"
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6a5e73fb
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Dec 27, 2017
by
rusty1s
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README.md
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6a5e73fb
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@@ -17,13 +17,13 @@ This package consists of a small extension library of highly optimised sparse up
Scatter-operations can be roughly described as reduce-operations based on a given "group-index" tensor.
The package consists of the following operations:
*
`scatter_add`
*
`scatter_sub`
*
`scatter_mul`
*
`scatter_div`
*
`scatter_mean`
*
`scatter_min`
*
`scatter_max`
*
`scatter_add`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/add.html
)
*
`scatter_sub`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/sub.html
)
*
`scatter_mul`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/mul.html
)
*
`scatter_div`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/div.html
)
*
`scatter_mean`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/mean.html
)
*
`scatter_min`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/min.html
)
*
`scatter_max`
[
🔗
](
https://rusty1s.github.io/pytorch_scatter/functions/max.html
)
All included operations work on varying data types, are implemented both for CPU and GPU and include a backwards implementation.
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