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@josevalim
josevalim Provide new serialization format (#1270)
28413c4 Jul 27, 2023
Provide new serialization format (#1270) 
In this format, the tensor metadata including its
binary offset and size are stored upfront with all
binaries at the end. This can allow us, in the future,
to deserialize using mmap or without reading all file.

Closes #1186.
28413c4

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.github/workflows
Update ci.yml (#1266)
July 22, 2023 19:05
exla
Add logsumexp (#1264)
July 26, 2023 11:33
nx
Provide new serialization format (#1270)
July 26, 2023 18:10
torchx
Update dll_loader_helper
July 19, 2023 20:51
CITATION.cff
Update CHANGELOG
October 21, 2022 23:38
Makefile
Update build process to use installed XLA extension (#451)
September 16, 2021 10:06
README.md
Release EXLA v0.2.0
April 28, 2022 12:36

README.md

This repository currently holds the following projects:

  • Nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir

  • EXLA - Google's XLA (Accelerated Linear Algebra) compiler/backend for Nx

  • Torchx - LibTorch backend for Nx

Each has their own README, which you can access above to learn more. They will be extracted to their own repository in the future. Examples and benchmarks are available in the EXLA project.

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Multi-dimensional arrays (tensors) and numerical definitions for Elixir

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elixir gpu jit pytorch tensor numerical xla

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