yindo/flash-attention-prebuild-wheels-rocm
1
0
Fork 0
mirror of https://github.com/BillyOutlast/flash-attention-prebuild-wheels-rocm.git synced 2026-07-01 01:37:53 -04:00
Code Issues Packages Projects Releases 2 Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Junya Morioka
2024-11-12 21:16:36 +09:00
committed by GitHub
parent c8497c13a0
commit 32158637b0
1 changed files with 29 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+29
View File
@@ -25,6 +25,15 @@ flash_attn-[FLASH_ATTN_VERSION]+cu[CUDA_VERSION]torch[TORCH_VERSION]-cp[PYTHON_V
flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
``` ```
### v0.0.1
[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.1)
|flash-attention|Python|PyTorch|CUDA|
|-|-|-|-|
|1.0.9, 2.4.3, 2.5.6, 2.5.9, 2.6.3|3.10, 3.11, 3.12|2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.0|11.8.0, 12.1.1, 12.4.1|
### v0.0.0 ### v0.0.0
[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.0) [Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.0)
@@ -32,3 +41,23 @@ flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
|flash-attention|Python|PyTorch|CUDA| |flash-attention|Python|PyTorch|CUDA|
|-|-|-|-| |-|-|-|-|
|2.4.3, 2.5.6, 2.5.9, 2.6.3|3.11, 3.12|2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.0|11.8.0, 12.1.1, 12.4.1| |2.4.3, 2.5.6, 2.5.9, 2.6.3|3.11, 3.12|2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.0|11.8.0, 12.1.1, 12.4.1|
## Original
[repo](https://github.com/Dao-AILab/flash-attention)
```bibtex
@inproceedings{dao2022flashattention,
title={Flash{A}ttention: Fast and Memory-Efficient Exact Attention with {IO}-Awareness},
author={Dao, Tri and Fu, Daniel Y. and Ermon, Stefano and Rudra, Atri and R{\'e}, Christopher},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2022}
}
@inproceedings{dao2023flashattention2,
title={Flash{A}ttention-2: Faster Attention with Better Parallelism and Work Partitioning},
author={Dao, Tri},
booktitle={International Conference on Learning Representations (ICLR)},
year={2024}
}
```