mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-16 21:30:39 -07:00
Jamie Pine
ce4269ffa5
- Commented out the PyTorch CPU configuration in the release workflow for Ubuntu 22.04. - Updated TTS provider documentation to clarify options for Windows and Linux users. - Enhanced build scripts for both CPU and CUDA providers by excluding large unused modules to reduce binary size.
97 lines
2.9 KiB
Python
97 lines
2.9 KiB
Python
"""
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PyInstaller build script for PyTorch CPU provider.
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"""
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import PyInstaller.__main__
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import os
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import platform
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from pathlib import Path
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def build_provider():
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"""Build PyTorch CPU provider as standalone binary."""
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provider_dir = Path(__file__).parent
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backend_dir = provider_dir.parent.parent / "backend"
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# PyInstaller arguments
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args = [
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'main.py',
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'--onefile',
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'--name', 'tts-provider-pytorch-cpu',
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]
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# Add backend to path
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args.extend([
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'--paths', str(backend_dir.parent),
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])
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# Add hidden imports
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args.extend([
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'--hidden-import', 'backend',
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'--hidden-import', 'backend.backends',
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'--hidden-import', 'backend.backends.pytorch_backend',
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'--hidden-import', 'backend.config',
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'--hidden-import', 'backend.utils.audio',
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'--hidden-import', 'backend.utils.cache',
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'--hidden-import', 'backend.utils.progress',
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'--hidden-import', 'backend.utils.hf_progress',
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'--hidden-import', 'backend.utils.tasks',
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'--hidden-import', 'torch',
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'--hidden-import', 'transformers',
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'--hidden-import', 'qwen_tts',
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'--hidden-import', 'qwen_tts.inference',
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'--hidden-import', 'qwen_tts.inference.qwen3_tts_model',
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'--hidden-import', 'qwen_tts.inference.qwen3_tts_tokenizer',
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'--hidden-import', 'qwen_tts.core',
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'--hidden-import', 'qwen_tts.cli',
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'--copy-metadata', 'qwen-tts',
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'--collect-submodules', 'qwen_tts',
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'--collect-data', 'qwen_tts',
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'--hidden-import', 'pkg_resources.extern',
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'--collect-submodules', 'jaraco',
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'--hidden-import', 'fastapi',
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'--hidden-import', 'uvicorn',
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'--hidden-import', 'soundfile',
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'--hidden-import', 'numpy',
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'--hidden-import', 'librosa',
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])
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# Exclude large unused modules to reduce binary size
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args.extend([
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'--exclude-module', 'torch.utils.tensorboard',
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'--exclude-module', 'tensorboard',
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'--exclude-module', 'triton',
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'--exclude-module', 'torch.distributed',
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'--exclude-module', 'torch._dynamo',
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'--exclude-module', 'torch._inductor',
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'--exclude-module', 'torch.testing',
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'--exclude-module', 'torch.utils.benchmark',
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'--exclude-module', 'IPython',
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'--exclude-module', 'matplotlib',
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'--exclude-module', 'PIL',
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'--exclude-module', 'cv2',
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'--exclude-module', 'torchvision',
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'--exclude-module', 'torchaudio',
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])
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args.extend([
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'--noconfirm',
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'--clean',
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])
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# Change to provider directory
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os.chdir(provider_dir)
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# Run PyInstaller
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PyInstaller.__main__.run(args)
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binary_name = 'tts-provider-pytorch-cpu'
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if platform.system() == "Windows":
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binary_name += '.exe'
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print(f"Binary built in {provider_dir / 'dist' / binary_name}")
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if __name__ == '__main__':
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build_provider()
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