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Releases: pmeier/light-the-torch

Support for pip==23.2

17 Jul 08:22
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  • add support for pip==23.2 (#139)

Patch more 3rd-party packages

16 May 07:56
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A lot of Nvidia packages as well as fsspec made it onto the PyTorch indices. light-the-torch now handles them correctly (#137)

Support for pip==23.1

24 Apr 08:53
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  • add support for pip==23.1 (#131)

fix local installations

21 Mar 09:13
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  • fix local installations and add CI job (#124)

Support pip==23.0

31 Jan 10:54
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  • Add support for pip==23.0 (#122)

Support for CUDA 12

19 Jan 13:52
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  • Add support for CUDA 12 @jamesobutler (#110)
  • Fix minimum required driver versions for CUDA 11 (#111)
  • Mitigate risk of supply chain attacks (#115, #118)
  • Drop support for PyTorch LTS (#116)

Support for CUDA 11.7 and 11.8

23 Dec 20:47
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  • Add support for CUDA 11.7 and 11.8 by @lassoan (#108)
  • Add support for pip==22.3.1 (#105)

Support for pip==22.3

25 Oct 11:59
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This release is needed since pip==22.3 breaks previous light-the-torch versions. Compatibility was fixed in #99.

Apart from that, this release brings a few other quality-of-life improvements:

  • use PyPI as fallback if stable binaries are not on PyTorch indices (#93)
  • improve CLI help messages (#94)
  • add option to specify computation backend through environment variable (#102)

v0.5.0rc0

23 Oct 21:05
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v0.5.0rc0 Pre-release
Pre-release
  • use PyPI as fallback if stable binaries are not on PyTorch indices (#93)
  • improve CLI help messages (#94)
  • Update to pip==22.3 by (#99)
  • add option to specify computation backend through environment variable by (#102)

If you want to install this version of light-the-torch, use pip install --pre light-the-torch

Bug fix

15 Aug 03:06
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  • Expand test matrix to also install different computation backends #80