mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-15 04:40:40 -07:00
Eva
829d4d6d5b
The distributed macOS aarch64 binary shipped without MLX acceleration despite the model and backend code supporting it. Two root causes: 1. **OSError not caught in platform_detect.py** PyInstaller bundles isolate the filesystem, so when MLX tries to load its Metal shader libraries (.metallib) it raises OSError, not ImportError. platform_detect.get_backend_type() only caught ImportError, causing a silent fallback to PyTorch even on Apple Silicon hardware. Fix: broaden the except clause to (ImportError, OSError, RuntimeError) and import mlx.core instead of mlx (forces native lib loading eagerly). 2. **collect_data_files used instead of collect_all for MLX** build_binary.py and voicebox-server.spec used --collect-data / collect_data_files for mlx and mlx_audio. This copies Python source and pure-Python data, but NOT native shared libraries (.dylib, .metallib). Fix: switch to --collect-all / collect_all which captures binaries too, then pass them to Analysis(binaries=...) in the spec. Result: macOS Apple Silicon users now get MLX inference (~4-5x faster than PyTorch CPU), matching the performance documented in the README.
36 lines
1000 B
Python
36 lines
1000 B
Python
"""
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Platform detection for backend selection.
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"""
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import platform
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from typing import Literal
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def is_apple_silicon() -> bool:
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"""
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Check if running on Apple Silicon (arm64 macOS).
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Returns:
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True if on Apple Silicon, False otherwise
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"""
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return platform.system() == "Darwin" and platform.machine() == "arm64"
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def get_backend_type() -> Literal["mlx", "pytorch"]:
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"""
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Detect the best backend for the current platform.
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Returns:
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"mlx" on Apple Silicon (if MLX is available and functional), "pytorch" otherwise
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"""
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if is_apple_silicon():
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try:
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import mlx.core # noqa: F401 — triggers native lib loading
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return "mlx"
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except (ImportError, OSError, RuntimeError):
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# MLX not installed, or native libraries failed to load inside a
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# PyInstaller bundle (OSError on missing .dylib / .metallib).
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# Fall through to PyTorch.
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return "pytorch"
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return "pytorch"
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