whisper/setup.py
Jianan Xing 32d55d5d76
Relax triton requirements for compatibility with pytorch 2.4 and newer (#2307)
* Relax triton requirements for compatibility with pytorch 2.4 and newer

Similar to https://github.com/openai/whisper/pull/1802, but now when pytorch upgrades to 2.4, it requires triton==3.0.0. I am not sure if it makes sense to remove the upper bound version constraints

* Update requirements.txt
2024-09-10 09:53:08 -07:00

43 lines
1.2 KiB
Python

import platform
import sys
from pathlib import Path
import pkg_resources
from setuptools import find_packages, setup
def read_version(fname="whisper/version.py"):
exec(compile(open(fname, encoding="utf-8").read(), fname, "exec"))
return locals()["__version__"]
requirements = []
if sys.platform.startswith("linux") and platform.machine() == "x86_64":
requirements.append("triton>=2.0.0")
setup(
name="openai-whisper",
py_modules=["whisper"],
version=read_version(),
description="Robust Speech Recognition via Large-Scale Weak Supervision",
long_description=open("README.md", encoding="utf-8").read(),
long_description_content_type="text/markdown",
readme="README.md",
python_requires=">=3.8",
author="OpenAI",
url="https://github.com/openai/whisper",
license="MIT",
packages=find_packages(exclude=["tests*"]),
install_requires=[
str(r)
for r in pkg_resources.parse_requirements(
Path(__file__).with_name("requirements.txt").open()
)
],
entry_points={
"console_scripts": ["whisper=whisper.transcribe:cli"],
},
include_package_data=True,
extras_require={"dev": ["pytest", "scipy", "black", "flake8", "isort"]},
)