\nhttps:\/\/minokamo.tokyo\/2023\/07\/08\/5878\/\n<\/div><\/figure>\n\n\n\n
\u7ba1\u7406\u3057\u3084\u3059\u304f\u3059\u308b\u305f\u3081\u306b\u3001\u9069\u5f53\u306a\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
mkdir audio<\/code><\/pre>\n\n\n\n\u4f5c\u6210\u3057\u305f\u7a7a\u306e\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u3057\u3066\u3001Dockerfile\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
cd audio\nsudo vi Dockerfile<\/code><\/pre>\n\n\n\nDockerfile\u306e\u8a18\u8ff0\u5185\u5bb9\u306f\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002\u8272\u3005\u30c8\u30e9\u30d6\u30eb\u306b\u906d\u9047\u3057\u307e\u3057\u305f\u304c\u3001\u3053\u306e\u5185\u5bb9\u3067\u52d5\u4f5c\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
# \u30d9\u30fc\u30b9\u30a4\u30e1\u30fc\u30b8\u3092\u6307\u5b9a\nFROM python:3.9-slim-buster\n\n# \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN apt-get update && \n apt-get install -y git ffmpeg && \n pip install torch==2.0.0+cu118 torchvision==0.15.1+cu118 torchaudio==2.0.1 --index-url https:\/\/download.pytorch.org\/whl\/cu118\n\n# AudioCraft\u306e\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u30af\u30ed\u30fc\u30f3\nRUN git clone https:\/\/github.com\/facebookresearch\/audiocraft \/usr\/src\/app\n\n# \u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u8a2d\u5b9a\nWORKDIR \/usr\/src\/app\n\n# AudioCraft\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN pip install -U .\n\n# \u30b5\u30fc\u30d0\u30fc\u3092\u8d77\u52d5\nCMD [\"python\", \".\/demos\/musicgen_app.py\", \"--listen\", \"0.0.0.0\", \"--server_port\", \"7860\"]<\/code><\/pre>\n\n\n\n\u4f5c\u6210\u3057\u305fDockerfile\u3092\u5143\u306bDocker\u30a4\u30e1\u30fc\u30b8\u3092\u30d3\u30eb\u30c9\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
docker build -t audiocraft .<\/code><\/pre>\n\n\n\n\u6b21\u306b\u3001\u30b3\u30f3\u30c6\u30ca\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
docker run -d --name audio -p 7860:7860 audiocraft<\/code><\/pre>\n\n\n\nWSL\u306eIP\u30a2\u30c9\u30ec\u30b9\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
ip a<\/code><\/pre>\n\n\n\nIP\u30a2\u30c9\u30ec\u30b9\u3092\u78ba\u8a8d\u3057\u305f\u3089\u3001\u30d6\u30e9\u30a6\u30b6\u3067\u30a2\u30af\u30bb\u30b9\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
http:\/\/IP\u30a2\u30c9\u30ec\u30b9:7860<\/p>\n\n\n\n <\/figure>\n\n\n\nDocker\u3067GPU\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u306b\u306f\u3001NVIDIA Container Toolkit\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n\n\n\n\nhttps:\/\/minokamo.tokyo\/2023\/09\/08\/6018\/\n<\/div><\/figure>\n\n\n\n
\u6b63\u3057\u304f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3042\u308b\u3068\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u60c5\u5831\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
nvidia-container-cli info<\/code><\/pre>\n\n\n\nmamushi@n4060:~\/audio$ nvidia-container-cli info NVRM version: 537.42 CUDA version: 12.2<\/p>\n\n\n\n
Device Index: 0 Device Minor: 0 Model: NVIDIA GeForce RTX 4060 Laptop GPU Brand: GeForce GPU UUID: GPU-73f6ad9a-b926-49a8-5fbb-ce9cb487757b Bus Location: 00000000:01:00.0 Architecture: 8.9<\/p>\n\n\n\n <\/figure>\n\n\n\n\u5148\u306edocker run\u30b3\u30de\u30f3\u30c9\u3067\u306fCPU\u3092\u4f7f\u7528\u3059\u308b\u306e\u3067\u3001\u4e00\u5ea6\u30b3\u30f3\u30c6\u30ca\u3092\u505c\u6b62\u3057\u3066\u524a\u9664\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
docker stop audio\ndocker rm audio<\/code><\/pre>\n\n\n\n\u4e0b\u8a18\u306e\u30b3\u30de\u30f3\u30c9\u3067\u30b3\u30f3\u30c6\u30ca\u3092\u8d77\u52d5\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
docker run --name audio --gpus all -p 7860:7860 -d audiocraft<\/code><\/pre>\n\n\n\n\u30d6\u30e9\u30a6\u30b6\u306eWeb UI\u3067\u66f2\u4f5c\u6210\u4e2d\u306b\u3001GPU\u306e\u4f7f\u7528\u72b6\u6cc1\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
nvidia-smi<\/code><\/code><\/pre>\n\n\n\n <\/figure>\n\n\n\nnvidia-smi<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001WSL\u4e0a\u304b\u3089\u76f4\u63a5GPU\u306e\u72b6\u614b\u3068\u4f7f\u7528\u72b6\u6cc1\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u6b21\u306e\u3088\u3046\u306a\u8a73\u7d30\u306a\u60c5\u5831\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059:<\/p>\n\n\n\n\nGPU\u306e\u57fa\u672c\u60c5\u5831<\/strong>: GPU\u306e\u540d\u524d\u3001ID\u3001\u304a\u3088\u3073\u30c9\u30e9\u30a4\u30d0\u30d0\u30fc\u30b8\u30e7\u30f3\u306a\u3069\u306e\u57fa\u672c\u60c5\u5831\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\nGPU\u5229\u7528\u72b6\u6cc1<\/strong>: GPU\u306e\u5229\u7528\u7387\u3001\u30e1\u30e2\u30ea\u4f7f\u7528\u7387\u3001\u304a\u3088\u3073\u305d\u306e\u4ed6\u306e\u30ea\u30bd\u30fc\u30b9\u4f7f\u7528\u72b6\u6cc1\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n\u5b9f\u884c\u4e2d\u306e\u30d7\u30ed\u30bb\u30b9<\/strong>: GPU\u4e0a\u3067\u5b9f\u884c\u4e2d\u306e\u30d7\u30ed\u30bb\u30b9\u3068\u305d\u308c\u3089\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u6d88\u8cbb\u3059\u308bGPU\u30ea\u30bd\u30fc\u30b9\u306e\u91cf\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n\u6e29\u5ea6\u3068\u96fb\u529b<\/strong>: GPU\u306e\u6e29\u5ea6\u3084\u96fb\u529b\u6d88\u8cbb\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n\u30a8\u30e9\u30fc\u3068\u8b66\u544a<\/strong>: GPU\u95a2\u9023\u306e\u30a8\u30e9\u30fc\u3084\u8b66\u544a\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n\n\n\n\u3053\u308c\u3089\u306e\u60c5\u5831\u306f\u3001GPU\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u5065\u5eb7\u72b6\u614b\u3092\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3057\u3001\u30c8\u30e9\u30d6\u30eb\u30b7\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u884c\u3046\u306e\u306b\u975e\u5e38\u306b\u6709\u7528\u3067\u3059\u3002\u307e\u305f\u3001nvidia-smi<\/code> \u30b3\u30de\u30f3\u30c9\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u66f4\u65b0\u3055\u308c\u308b\u305f\u3081\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u63d0\u4f9b\u3057\u3001GPU\u306e\u52d5\u4f5c\u3092\u3088\u308a\u6b63\u78ba\u306b\u628a\u63e1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n\u4e00\u65b9\u3001Windows\u306e\u30bf\u30b9\u30af\u30de\u30cd\u30fc\u30b8\u30e3\u306f\u3001\u57fa\u672c\u7684\u306aGPU\u5229\u7528\u72b6\u6cc1\u3068\u30e1\u30e2\u30ea\u4f7f\u7528\u72b6\u6cc1\u3092\u63d0\u4f9b\u3059\u308b\u3060\u3051\u3067\u3042\u308a\u3001nvidia-smi<\/code> \u307b\u3069\u8a73\u7d30\u306a\u60c5\u5831\u306f\u63d0\u4f9b\u3057\u307e\u305b\u3093\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u3088\u308a\u8a73\u7d30\u306aGPU\u306e\u72b6\u614b\u3068\u4f7f\u7528\u72b6\u6cc1\u306e\u60c5\u5831\u304c\u5fc5\u8981\u306a\u5834\u5408\u306b\u306f\u3001nvidia-smi<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u63a8\u5968\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n