ddadminandClaude Opus 4.6
bdb9b06855
- Зачем:
- ctranslate2 требует libcublas.so.12 для CUDA, но не бандлит её в wheel —
без системного CUDA toolkit GPU не работает из коробки.
- Что:
- добавлена зависимость nvidia-cublas-cu12 (Linux x86_64).
- создан _cuda_bootstrap.py: preload libcublas через ctypes.CDLL(RTLD_GLOBAL)
до импорта ctranslate2 (LD_LIBRARY_PATH не работает — glibc кеширует пути).
- добавлен strict_device в transcriber: --device cuda/cpu не делает silent fallback.
- CLI: диагностика requested vs resolved device, Windows CUDA-подсказка.
- Проверка:
- uv run pytest -v (52 passed, 1 skipped).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
649 B
TOML
31 lines
649 B
TOML
[project]
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name = "local-transcriber"
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version = "0.1.0"
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description = "Local CLI tool for audio/video transcription using faster-whisper"
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requires-python = ">=3.10"
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dependencies = [
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"typer",
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"rich",
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"faster-whisper>=1.2.1",
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"socksio>=1.0.0",
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"nvidia-cublas-cu12>=12.4; sys_platform == 'linux' and platform_machine == 'x86_64'",
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]
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[project.scripts]
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transcribe = "local_transcriber.cli:app"
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[dependency-groups]
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dev = [
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"pytest",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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[tool.hatch.build.targets.wheel]
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packages = ["src/local_transcriber"]
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