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Update pyproject.toml for optional dependencies torch 2.6.0+cu126 CUDA #143

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Update pyproject.toml for optional dependencies torch 2.6.0+cu126 CUDA #143

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71 changes: 42 additions & 29 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [{name = "Han Zhu"}]
keywords = [
keywords =[
"tts",
"text-to-speech",
"speech-synthesis",
Expand All @@ -19,17 +19,15 @@ keywords = [
"diffusion",
"voice-cloning",
]
classifiers = [
classifiers =[
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",

"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Multimedia :: Sound/Audio :: Speech",

"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
]
dependencies = [
dependencies =[
"torch>=2.4",
"torchaudio>=2.4",
"transformers>=5.3.0",
Expand All @@ -41,17 +39,26 @@ dependencies = [
"numpy",
"soundfile",
"librosa",
][project.optional-dependencies]
eval =[
"jiwer==3.1.0", # WER
"s3prl", # Speech representation (HuBERT etc.)
"funasr", # ASR models
"zhconv", # Chinese character normalization
"zhon", # Chinese punctuation
"unidecode", # Unicode normalization
]

[project.optional-dependencies]

eval = [
"jiwer==3.1.0", # WER
"s3prl", # Speech representation (HuBERT etc.)
"funasr", # ASR models
"zhconv", # Chinese character normalization
"zhon", # Chinese punctuation
"unidecode", # Unicode normalization
# ====================================================================
# NEW: Optional GPU build dependencies
# Allows users to install with: `uv pip install -e .[cu126]`
# ====================================================================
cu126 =[
"torch==2.6.0+cu126",
"torchaudio==2.6.0+cu126",
]
cu128 =[
"torch==2.8.0+cu128",
"torchaudio==2.8.0+cu128",
]

[project.scripts]
Expand All @@ -65,28 +72,34 @@ Repository = "https://github.com/k2-fsa/OmniVoice"
"Bug Tracker" = "https://github.com/k2-fsa/OmniVoice/issues"

[tool.uv.sources]
# Install PyTorch with CUDA support on Linux/Windows (CUDA doesn't exist for Mac).
# NOTE: We must explicitly request them as `dependencies` above. These improved
# versions will not be selected if they're only third-party dependencies.
torch = [
{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
# Dynamically route Torch to the correct index URL based on the chosen extra.
torch =[
{ index = "pytorch-cu126", extra = "cu126", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ index = "pytorch-cu128", extra = "cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, # Default fallback
]
torchaudio = [
{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
torchaudio =[
{ index = "pytorch-cu126", extra = "cu126", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ index = "pytorch-cu128", extra = "cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, # Default fallback
]

[[tool.uv.index]]
name = "pytorch-cuda"
# Use PyTorch built for NVIDIA Toolkit version 12.8.
# Available versions: https://pytorch.org/get-started/locally/
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
# Only use this index when explicitly requested by `tool.uv.sources`.
explicit = true

[[tool.uv.index]]
name = "pytorch-cu126"
url = "https://download.pytorch.org/whl/cu126"
explicit = true

[tool.uv]
constraint-dependencies = [
"torch==2.8.0",
"torchaudio==2.8.0",
# Tells UV not to freak out during lock resolution, explicitly declaring these cannot be installed simultaneously
conflicts = [[
{ extra = "cu126" },
{ extra = "cu128" },
],
]

[tool.hatch.build.targets.sdist]
Expand Down