Comments (19)
I think it should be fixed now if you install 0.4.2
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Seem to be having the same issue now.
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Yeah, I also cannot install triton on windows.
(base) C:\stable-diffusion-ui>pip install triton
ERROR: Could not find a version that satisfies the requirement triton (from versions: none)
ERROR: No matching distribution found for triton
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Man, I really dislike pypi sometimes. It's my fault. v0.4.0 was on a buggy commit that didn't work with deepspeed, so I deleted it and tried reuploading it. But pip didn't let me, so I renamed it to v0.4.1 but I think the internal wheel version didn't change and that's why you're seeing this error. I'm creating a v0.4.2 right now that should fix these issues
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It seems that this issue has returned and now plagued 0.4.2 per @tsndr’s issue at EleutherAI/gpt-neox#628
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I can confirm, I am running into the same issue. I get "No matching distribution found for triton==0.4.2" error.
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Same for me as well :( "No matching distribution found for triton==0.4.2" error." I am on windows 10.
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Hi @ptillet,
I seem to be running into this issue again as well.
ERROR: Could not find a version that satisfies the requirement triton (from versions: none)
ERROR: No matching distribution found for triton
Thank you,
Enrico
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Can you retry it now? The new pre-releases wheels include Python 3.10 and 3.11
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Can you retry it now? The new pre-releases wheels include Python 3.10 and 3.11
It works now.
Thank you very much!
Best,
Enrico
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@ptillet seems like it is happening again today. Was trying to pull 2.0.0a2
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Do you have a more precise error message? 2.0.0a2 should definitely not have these packaging issues anymore
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@ptillet I have tried other versions as well now but always receive the same error:
ERROR: Could not find a version that satisfies the requirement triton==2.0.0a2 (from versions: none)
ERROR: No matching distribution found for triton==2.0.0a2
Edit: I believe the issue is there is no wheels for windows, will have to use another method.
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@Matiusauce Windows is an out-of-scope OS for most ML codebases. None of our libraries have been substantially tested on Windows, and any compatibility is accidental.
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@StellaAthena I managed to get it up and running for my purposes at the moment but will definitely keep that in mind. Thanks.
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I managed to get it up and running for my purposes at the moment but will definitely keep that in mind. Thanks.
@Matiusauce Can you elaborate on how you did that. I am on windows and getting the same error with 2.0.0a2
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@Matiusauce Can you elaborate on how you did that. I am on windows and getting the same error with 2.0.0a2
@ThioJoe I found someone else who had already built a wheel for it so I just used theirs instead of trying to build myself. You can see an example on line 58 of https://github.com/152334H/DL-Art-School/blob/master/codes/scripts/post_install.py
pip install https://huggingface.co/r4ziel/xformers_pre_built/resolve/main/triton-2.0.0-cp310-cp310-win_amd64.wh
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I also cannot install it on Windows
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Triton does not support Windows. This is explicitly stated in the README:
Compatibility
Supported Platforms:
Linux
Supported Hardware:
NVIDIA GPUs (Compute Capability 7.0+)
Under development: AMD GPUs, CPUs
Unfortunately there is no short-term plan to add support for Windows, but if people want to submit PRs for it I'm not against it. I do a lot of my development on Windows with WSL though, so I would recommend using that if possible.
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Related Issues (20)
- Flash Attention benchmarks fail on AMD Instinct MI210 (`gfx90a`) HOT 2
- [OPS] AttributeError: module 'triton.language.math' has no attribute 'round' HOT 3
- Why is the documentation not versioned like other Read The Docs sites?
- Core dumped without "os.environ["TRITON_INTERPRET"] = "1"
- torch 2.4.0 requires triton==3.0.0; HOT 7
- Triton trying to download llvm even if self built, and build failed
- Seems mistake in setup.py HOT 1
- bfloat16 of fused attention seems have bug HOT 2
- Possible to use WMMA `.b1` instructions? HOT 1
- AttributeError("'AnnAssign' object has no attribute 'targets'") HOT 1
- [Bug] Compiler error in 06-fused-attention.py
- Fused Attention FP8 correctness on L20(Ada GPU) HOT 1
- What impact does changing the kernel shape's divisibility value have?
- Does Triton have a roadmap plan? HOT 1
- FP8 Casting Tensor Size Alignment Error on AMD MI210 HOT 2
- Output dtype of 09-persistent-matmul.py
- Worse performance on `H100` than `RTX3090`
- [Bug] Assertion `idx < size()' failed. HOT 7
- Seems like these slides are missing, if possible, would you mind update the links or re-upload the files?
- Should @core.extern be part of the libdevice interface? HOT 1
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