95fecb91c8
- feat: upgrade PyTorch to 2.7.1 and CUDA 12.8
* Update README setup to require CUDA toolkit 12.8 instead of 12.4 (Linux and Windows)
* Bump torch dependency from 2.6.0 to 2.7.1
* Switch the PyTorch CUDA wheel index from cu124 to cu128
- Revert "docs: add troubleshooting section for libcudnn dependencies in README"
* The issue of relying on two different versions of CUDNN in this project has been resolved.
- build(pyproject): relax python version and constrain package deps
* Only download torch from PyTorch; obtain all other packages from PyPI.
* Restrict numpy, onnxruntime, pandas to be compatible with Python 3.9
- build(pyproject): require triton 3.3.0+ for arm64 support
* Add triton version 3.3.0 or newer to the dependencies to support arm64 architecture.
- build: skip Triton on Windows since it isn't supported
* Add a platform marker to the triton dependency to skip it on Windows, as triton does not support Windows.
- build: configure PyTorch sources for cross-platform compatibility
* macOS uses CPU-only PyTorch from pytorch-cpu index
* Linux and Windows use CUDA 12.8 PyTorch from pytorch index
* triton only installs on Linux with CUDA 12.8 support
* Update lockfile to support multi-platform builds
- fix: restrict av to <16.0.0 for Python 3.9 compatibility
* Add av<16.0.0 to dependencies to maintain Python 3.9 support
* Update comment to include av in the restriction list
* Update uv.lock accordingly
PyAV dropped Python 3.9 support in v16.0.0:
106089447c
- fix: resolve PyTorch ARM64 platform compatibility issue
* Update uv.lock to properly handle aarch64 platforms for PyTorch dependencies
* Add resolution markers for ARM64 Linux systems to use CPU-only PyTorch builds
* Ensure CUDA builds are only used on x86_64 platforms where supported
Resolves ARM64 Docker build failures by preventing uv from attempting to install CUDA PyTorch on unsupported platforms
- chore: change .python-version to 3.10
---
Signed-off-by: CHEN, CHUN <jim60105@gmail.com>
Signed-off-by: Jim Chen <Jim@ChenJ.im>
Co-authored-by: GitHub Copilot <bot@ChenJ.im>
65 lines
1.8 KiB
TOML
65 lines
1.8 KiB
TOML
[project]
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urls = { repository = "https://github.com/m-bain/whisperx" }
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authors = [{ name = "Max Bain" }]
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name = "whisperx"
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version = "3.4.3"
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description = "Time-Accurate Automatic Speech Recognition using Whisper."
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readme = "README.md"
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requires-python = ">=3.9, <3.13"
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license = { text = "BSD-2-Clause" }
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dependencies = [
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"ctranslate2>=4.5.0",
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"faster-whisper>=1.1.1",
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"nltk>=3.9.1",
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# Restrict numpy, onnxruntime, pandas, av to be compatible with Python 3.9
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"numpy>=2.0.2,<2.1.0",
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"onnxruntime>=1.19,<1.20.0",
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"pandas>=2.2.3,<2.3.0",
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"av<16.0.0",
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"pyannote-audio>=3.3.2,<4.0.0",
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"torch>=2.7.1",
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"torchaudio",
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"transformers>=4.48.0",
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"triton>=3.3.0; sys_platform == 'linux'" # only install triton on Linux
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]
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[project.scripts]
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whisperx = "whisperx.__main__:cli"
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[build-system]
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requires = ["setuptools"]
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[tool.setuptools]
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include-package-data = true
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["whisperx*"]
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
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{ index = "pytorch-cpu", marker = "platform_machine != 'x86_64' and sys_platform != 'darwin'" },
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{ index = "pytorch", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" },
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]
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torchaudio = [
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{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
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{ index = "pytorch-cpu", marker = "platform_machine != 'x86_64' and sys_platform != 'darwin'" },
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{ index = "pytorch", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" },
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]
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triton = [
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{ index = "pytorch", marker = "sys_platform == 'linux'" },
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]
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[[tool.uv.index]]
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name = "pytorch"
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url = "https://download.pytorch.org/whl/cu128"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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