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Failed rye add
for tensorflow[and-cuda] package.
#745
Comments
The latest commit looks like fixed this problem, you can fetch the latest code and build to try again.
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@ischaojie Below is a comparison of the uv pip compile result
rye's requirements.lock
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I think the issue here is that (e.g.) |
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I can take a look. |
Pretty sure the bug is in rye. Unearth didn't retain that information either. I probably just retained it better. |
I sent you a diff on Discord, but it's not fully correct. |
Wish this fix will be released sooner. 👀 |
facing the same issue with rye add "ray[default]"
error: did not find package 'ray[default]' without using pre-releases. any ideas when it will be fixed in the release? |
Similar issue with $ rye --version
rye 0.27.0
commit: 0.27.0 (43ee4fce0 2024-02-26)
platform: linux (x86_64)
self-python: [email protected]
symlink support: true
uv enabled: true And I am running this using WSL2 on a Dell Laptop with an Nvidia GPU (if any of this makes a difference...) -- I first add the following sources to my [[tool.rye.sources]]
name = "google-jax"
url = "https://storage.googleapis.com/jax-releases/jax_cuda_releases.html"
type = "find-links" Then this is what happens upon trying to add jax! $ rye add jax[cuda12_pip] --no-sync # the behaviour is same with/without no-sync by the way!
Added jax>=0.4.25 as regular dependency Expected
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I believe this is fixed in #807 (but not yet released). |
Would it be possible to use |
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Steps to Reproduce
Expected Result
Tensorflow[and-cuda] is successfully added.
Actual Result
Installation fails.
Version Info
rye 0.25.0
commit: 0.25.0 (d8e00ce 2024-02-19)
platform: linux (x86_64)
self-python: [email protected]
symlink support: true
uv enabled: false
Stacktrace
use uv backend
use legacy backend
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