mirror of
https://github.com/BillyOutlast/flash-attention-prebuild-wheels-rocm.git
synced 2026-07-01 01:37:53 -04:00
Junya Morioka
188 lines
7.6 KiB
Markdown
188 lines
7.6 KiB
Markdown
# flash-attention pre-build wheels
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This repository provides wheels for the pre-built [flash-attention](https://github.com/Dao-AILab/flash-attention).
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Since building flash-attention takes a **very long time** and is resource-intensive,
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I also build and provide combinations of CUDA and PyTorch that are not officially distributed.
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The building Github Actions Workflow can be found [here](./.github/workflows/build.yml).
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The built packages are available on the [release page](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases).
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This repository uses a self-hosted runner for building the wheels. If you find this project helpful, please consider supporting or sponsoring to help maintain the infrastructure.
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[](https://github.com/sponsors/mjun0812)
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## Install
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1. Select the versions for Python, CUDA, PyTorch, and flash_attn.
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```bash
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flash_attn-[flash_attn Version]+cu[CUDA Version]torch[PyTorch Version]-cp[Python Version]-cp[Python Version]-linux_x86_64.whl
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# Example: Python 3.11, CUDA 12.4, PyTorch 2.5, and flash_attn 2.6.3
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flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
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```
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2. Find the corresponding version of a wheel from the below table and [releases](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases)
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3. Direct Install or Download and Local Install
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```bash
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# Direct Install
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pip install https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.0.0/flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
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# Download and Local Install
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wget https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.0.0/flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
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pip install ./flash_attn-2.6.3+cu124torch2.5-cp312-cp312-linux_x86_64.whl
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```
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## Packages
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### v0.0.9
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.9)
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| Flash-Attention | Python | PyTorch | CUDA |
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| ------------------- | ---------------- | ------- | ------ |
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| 2.4.3, 2.5.9, 2.6.3 | 3.10, 3.11, 3.12 | 2.7.0 | 12.8.1 |
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### v0.0.8
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.8)
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| Flash-Attention | Python | PyTorch | CUDA |
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| -------------------------------- | ---------------- | -------------------------- | ---------------------- |
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| 2.4.3, 2.5.9, 2.6.3, 2.7.4.post1 | 3.10, 3.11, 3.12 | 2.4.1, 2.5.1, 2.6.0, 2.7.0 | 11.8.0, 12.4.1, 12.6.3 |
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### v0.0.7
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Skip for experimental reasons.
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### v0.0.6
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.6)
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| Flash-Attention | Python | PyTorch | CUDA |
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| -------------------------------- | ---------------- | --------------------------------- | -------------- |
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| 2.4.3, 2.5.9, 2.6.3, 2.7.4.post1 | 3.10, 3.11, 3.12 | 2.2.2, 2.3.1, 2.4.1, 2.5.1, 2.6.0 | 12.4.1, 12.6.3 |
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### v0.0.5
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.5)
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| Flash-Attention | Python | PyTorch | CUDA |
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| ------------------ | ---------------- | ----------------------------------------------- | -------------- |
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| 2.6.3, 2.7.4.post1 | 3.10, 3.11, 3.12 | 2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.1, 2.6.0 | 12.4.1, 12.6.3 |
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### v0.0.4
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.4)
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| Flash-Attention | Python | PyTorch | CUDA |
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| --------------- | ---------------- | ---------------------------------------- | ---------------------- |
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| 2.7.3 | 3.10, 3.11, 3.12 | 2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.1 | 11.8.0, 12.1.1, 12.4.1 |
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### v0.0.3
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.3)
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| Flash-Attention | Python | PyTorch | CUDA |
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| --------------- | ---------------- | ---------------------------------------- | ---------------------- |
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| 2.7.2.post1 | 3.10, 3.11, 3.12 | 2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.1 | 11.8.0, 12.1.1, 12.4.1 |
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### v0.0.2
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.2)
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| Flash-Attention | Python | PyTorch | CUDA |
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| -------------------------------- | ---------------- | ---------------------------------------- | ---------------------- |
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| 2.4.3, 2.5.6, 2.6.3, 2.7.0.post2 | 3.10, 3.11, 3.12 | 2.0.1, 2.1.2, 2.2.2, 2.3.1, 2.4.1, 2.5.1 | 11.8.0, 12.1.1, 12.4.1 |
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### v0.0.1
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.1)
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| flash-attention | Python | PyTorch | CUDA |
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| --------------------------------- | ---------------- | ---------------------------------------- | ---------------------- |
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| 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 |
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### v0.0.0
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[Release](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.0.0)
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| flash-attention | Python | PyTorch | CUDA |
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| -------------------------- | ---------- | ---------------------------------------- | ---------------------- |
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| 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 |
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## Self build
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If you want to build the wheels yourself, you can folk this repository and run the build workflow.
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1. Fork this repository
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2. Edit workflow file `.github/workflows/build.yml` to set the version you want to build.
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3. Add tag `v*.*.*` to trigger the build workflow.
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### Self-Hosted Runner Build
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In some version combinations, you cannot build wheels on GitHub-hosted runners due to job time limitations.
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To build the wheels for these versions, you can use self-hosted runners.
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```bash
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git clone https://github.com/mjun0812/flash-attention-prebuild-wheels.git
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cd self-hosted-runner
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cp env.template env
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```
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Edit `env` file to set the environment variables.
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```bash
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# Edit env
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PERSONAL_ACCESS_TOKEN=[Github Personal Access Token]
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```
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Edit compose.yml file if you use repository folked from this repository.
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```yaml
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services:
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runner:
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privileged: true
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build:
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context: .
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dockerfile: Dockerfile
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args:
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REPOSITORY_URL: [Target Repository URL]
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PERSONAL_ACCESS_TOKEN: $PERSONAL_ACCESS_TOKEN
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GH_RUNNER_VERSION: 2.324.0
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RUNNER_NAME: self-hosted-runner
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RUNNER_GROUP: default
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RUNNER_LABELS: self-hosted
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TARGET_ARCH: x64
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```
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Then, build and run the docker container.
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```bash
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# Build and run
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docker compose build
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docker compose up -d
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```
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## Original Repository
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[repo](https://github.com/Dao-AILab/flash-attention)
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```bibtex
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@inproceedings{dao2022flashattention,
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title={Flash{A}ttention: Fast and Memory-Efficient Exact Attention with {IO}-Awareness},
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author={Dao, Tri and Fu, Daniel Y. and Ermon, Stefano and Rudra, Atri and R{\'e}, Christopher},
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booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2022}
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}
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@inproceedings{dao2023flashattention2,
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title={Flash{A}ttention-2: Faster Attention with Better Parallelism and Work Partitioning},
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author={Dao, Tri},
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booktitle={International Conference on Learning Representations (ICLR)},
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year={2024}
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}
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```
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