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