\u9069\u5f53\u306a\u4f5c\u696d\u7528\u30d5\u30a9\u30eb\u30c0\u3092\u4f5c\u6210\u3057\u79fb\u52d5<\/h2>\n$ mkdir pytorch-lab[\u306a\u3093\u3067\u3082\u826f\u3044]\r\n$ cd pytorch-lab\r\n<\/code><\/pre>\nDockerfile\u3092\u4f5c\u6210<\/h2>\n$ vim Dockerfile\r\n<\/code><\/pre>\nFROM<\/span> pytorch\/pytorch:latest<\/span>\r\n\r\n# Install required libraries<\/span>\r\nRUN <\/span>conda config --add<\/span> channels pytorch \\\r\n<\/span> &&<\/span> conda config --append<\/span> channels conda-forge \\\r\n<\/span> &&<\/span> conda update --all<\/span> --yes<\/span> --quiet<\/span> \\\r\n<\/span> &&<\/span> conda install<\/span> --yes<\/span> --quiet<\/span> \\\r\n<\/span> ipywidgets \\\r\n<\/span> jupyterlab \\\r\n<\/span> matplotlib \\\r\n<\/span> nodejs \\\r\n<\/span> opencv \\\r\n<\/span> pandas \\\r\n<\/span> scikit-learn \\\r\n<\/span> seaborn \\\r\n<\/span> sympy \\\r\n<\/span> &&<\/span> conda clean --all<\/span> -f<\/span> -y<\/span>\r\n\r\n# Install jupyter extensions<\/span>\r\nRUN <\/span>jupyter nbextension enable<\/span> --py<\/span> --sys-prefix<\/span> widgetsnbextension \\\r\n<\/span> &&<\/span> jupyter labextension install<\/span> @jupyter-widgets\/jupyterlab-manager\r\n\r\nCOPY<\/span> jupyter_notebook_config.py \/root\/.jupyter\/<\/span>\r\n\r\n<\/code><\/pre>\n\u3084\u3063\u3066\u3044\u308b\u3053\u3068\u306f<\/p>\n
\n- \n
base image\u3068\u3057\u3066pytorch\/pytorch\u3092\u4f7f\u7528\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
\u305d\u306e\u307e\u307econda update\u3092\u884c\u3046\u3068pytorch\u304c\u30c0\u30a6\u30f3\u30b0\u30ec\u30fc\u30c9\u3055\u308c\u3066\u3057\u307e\u3046\u306e\u3067\u3001conda config –add channels pytorch\u3067pytorch\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u9ad8\u512a\u5148\u5ea6\u3067\u8ffd\u52a0\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
conda\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3060\u3051\u3060\u3068\u8db3\u308a\u306a\u3044\u3053\u3068\u304c\u3042\u308b\u306e\u3067conda config –append channels conda-forge\u3067conda-forge\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f4e\u512a\u5148\u5ea6\u3067\u767b\u9332\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
jupyterlab\u3067tqdm\u3067\u306e\u9032\u6357\u30d0\u30fc\u8868\u793a\u304c\u884c\u3048\u308b\u3088\u3046\u306bjupyterlab\u306e\u62e1\u5f35\u6a5f\u80fd\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\u5f8c\u8ff0\u3059\u308bjupyter\u306e\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30d4\u30fc\u3002<\/ul>\njupyter\u306e\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3002<\/h2>\n
Dockerfile\u3068\u540c\u3058\u5834\u6240\u306bjupyter_notebook_config.py\u3092\u4f5c\u6210\u3002<\/p>\n
\u79c1\u306f\u8a66\u884c\u932f\u8aa4\u3057\u3066\u3044\u305f\u969b\u306b\u4f7f\u7528\u3057\u305fjupyter\/docker-stacks\/base-notebook\/jupyter_notebook_config.py\u3092\u30b3\u30d4\u30fc\u3057\u3066\u8a2d\u5b9a\u3092\u66f8\u304d\u52a0\u3048\u3066\u3044\u307e\u3059\u3002
\n\u8ffd\u52a0\u3057\u305f\u8a2d\u5b9a\u306f<\/p>\n
\n- \n
c.NotebookApp.allow_root = True : root\u3067\u306e\u8d77\u52d5\u3092\u8a31\u53ef<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
c.NotebookApp.password = ‘\u30d1\u30b9\u30ef\u30fc\u30c9\u306e\u30cf\u30c3\u30b7\u30e5\u5024’ : \u30ed\u30b0\u30a4\u30f3\u30d1\u30b9\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a<\/ul>\n\u30d1\u30b9\u30ef\u30fc\u30c9\u306e\u30cf\u30c3\u30b7\u30e5\u5024\u306f\u30ed\u30fc\u30ab\u30eb\u306epython\u306bipython\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308c\u3070\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u751f\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n
$<\/span> ipython<\/span>\r\n\r\nIn<\/span> [<\/span>1<\/span>]:<\/span> from<\/span> IPython.lib<\/span> import<\/span> passwd<\/span>\r\nIn<\/span> [<\/span>2<\/span>]:<\/span> passwd<\/span>()<\/span>\r\n<\/code><\/pre>\n\u30d1\u30b9\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3057\u3066\u8868\u793a\u3055\u308c\u308b’sha1:~’\u3092\u30b3\u30d4\u30fc\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
c<\/span>.<\/span>NotebookApp.<\/span>allow_root =<\/span> True\r\nc<\/span>.<\/span>NotebookApp.<\/span>password =<\/span> 'sha1:~'<\/span>\r\n<\/code><\/pre>\n\u3053\u308c\u3089\u3092c.NotebookApp.open_browser = False\u306e\u5f8c\u308d\u3042\u305f\u308a\u306b\u6253\u3061\u8fbc\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n
image\u306e\u30d3\u30eb\u30c9<\/h2>\n
\u4e0a\u8a18\u306eDockerfile\u304a\u3088\u3073Jupiter_notebook_config\u306e\u3042\u308b\u30d5\u30a9\u30eb\u30c0\u3067\u30d3\u30eb\u30c9\u3092\u884c\u3044\u307e\u3059\u3002
\npytorch-lab\u306e\u3068\u3053\u308d\u306f\u308f\u304b\u308a\u3084\u3059\u3044\u4efb\u610f\u306e\u540d\u524d\u3092\u3064\u3051\u3066\u304f\u3060\u3055\u3044\u3002
\n\u521d\u56de\u306f\u30d9\u30fc\u30b9\u306epytorch\/pytorch\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u884c\u308f\u308c\u308b\u306e\u3067\u3057\u3070\u3089\u304f\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002<\/p>\n
$ docker build -t pytorch-lab .\/\r\n<\/code><\/pre>\ndocker images\u3067\u4f5c\u6210\u3057\u305f\u30a4\u30e1\u30fc\u30b8\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u305f\u3089\u6210\u529f\u3067\u3059\u3002<\/p>\n
$ docker images\r\nREPOSITORY TAG IMAGE ID CREATED SIZE\r\npytorch-lab latest bd952fdf9b43 12 seconds ago 6.15GB\r\npytorch\/pytorch latest 37b81722dadc 9 days ago 4.16GB\r\n<\/code><\/pre>\n\u8d77\u52d5\u65b9\u6cd5<\/h2>\n
\/home\/[\u30e6\u30fc\u30b6\u30fc\u540d]\/ML\/\u306b\u30c7\u30fc\u30bf\u3092\u4fdd\u5b58\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/p>\n
$ docker run -d --rm --gpus all -v ~\/ML:\/workspace -p 8888:8888 --name pytorch pytorch-lab jupyter lab\r\n<\/code><\/pre>\n\u30aa\u30d7\u30b7\u30e7\u30f3
\n-d \u30d0\u30c3\u30af\u30b0\u30e9\u30a6\u30f3\u30c9\u3067\u5b9f\u884c
\n–rm \u30b3\u30f3\u30c6\u30ca\u7d42\u4e86\u6642\u306b\u30b3\u30f3\u30c6\u30ca\u3092\u524a\u9664
\n–gpus all \u30b3\u30f3\u30c6\u30ca\u3067GPU\u3092\u4f7f\u7528\u53ef\u80fd\u306b\u3059\u308b
\n-v ~\/ML:\/workspace \u30ed\u30fc\u30ab\u30eb\u306e~\/ML\u3092\u30b3\u30f3\u30c6\u30ca\u306e\/workspace\u306b\u30de\u30a6\u30f3\u30c8\u3057\u3066\u4f5c\u6210\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u304c\u4fdd\u5b58\u3055\u308c\u308b\u3088\u3046\u306b\u3059\u308b\u3002
\n-p 8888:8888 \u30ed\u30fc\u30ab\u30eb\u306e\u30dd\u30fc\u30c88888\u3078\u306e\u63a5\u7d9a\u3092\u30b3\u30f3\u30c6\u30ca\u306e8888(jupyterlab)\u3078\u9001\u308b\u3002
\n–name pytorch \u30b3\u30f3\u30c6\u30ca\u306b\u4efb\u610f\u306e\u540d\u524d\u3092\u3064\u3051\u308b\u3002<\/p>\n
\u4f7f\u3044\u65b9<\/h2>\n
\u30d6\u30e9\u30a6\u30b6\u304b\u3089http:\/\/localhost:8888\/\u306b\u63a5\u7d9a\u3001\u30ed\u30b0\u30a4\u30f3\u30da\u30fc\u30b8\u304c\u8868\u793a\u3055\u308c\u308b\u306e\u3067\u8a2d\u5b9a\u3057\u305f\u30d1\u30b9\u30ef\u30fc\u30c9\u3067\u30ed\u30b0\u30a4\u30f3\u3059\u308b\u3002<\/p>\n
![\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8](\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d648e37434c4406d04bb6\/35-0.png\" "\\"\\"")
<\/div>\n\u554f\u984c\u70b9<\/h1>\n\n- \n
pytorch\u306e\u30a4\u30e1\u30fc\u30b8\u3082\u30e9\u30a4\u30d6\u30e9\u30ea\u3082\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u6307\u5b9a\u305b\u305a\u30d3\u30eb\u30c9\u306e\u5ea6\u306b\u6700\u65b0\u306e\u3082\u306e\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u308b\u306e\u3067\u3001\u4eca\u5f8c\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u6b21\u7b2c\u3067\u306f\u4f5c\u3063\u305f\u30a4\u30e1\u30fc\u30b8\u304c\u3046\u307e\u304f\u52d5\u4f5c\u3057\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
root\u3067jupyterlab\u3092\u8d77\u52d5\u3059\u308b\u306e\u306f\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u7684\u306b\u3069\u3046\u306a\u3093\u3060\u308d\u3046(SSH\u30dd\u30fc\u30c8\u30d5\u30a9\u30ef\u30fc\u30c9\u3092\u524d\u63d0\u306b\u306f\u3057\u3066\u3044\u308b)\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
tqdm\u306e\u8868\u793a\u306f\u3046\u307e\u304f\u3044\u304f\u304c\u3001torch vision.datasets.MNIST\u306a\u3069\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u6642\u306e\u9032\u6357\u30d0\u30fc\u306f\u6b63\u5e38\u306b\u8868\u793a\u3055\u308c\u306a\u3044\u3002<\/ul>\n","protected":false},"excerpt":{"rendered":"\u3050\u3050\u308a\u306a\u304c\u3089\u898b\u69d8\u898b\u771f\u4f3c\u3067docker\u3092\u4f7f\u3063\u3066\u307f\u307e\u3057\u305f\u3002 \u76ee\u7684 PyTorch\u306b\u3088\u308b\u767a\u5c55\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u3067\u304d […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46368","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n
- Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/46368-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u3050\u3050\u308a\u306a\u304c\u3089\u898b\u69d8\u898b\u771f\u4f3c\u3067docker\u3092\u4f7f\u3063\u3066\u307f\u307e\u3057\u305f\u3002 \u76ee\u7684 PyTorch\u306b\u3088\u308b\u767a\u5c55\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u3067\u304d […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46368-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2022-11-24T16:37:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-30T00:16:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d648e37434c4406d04bb6\/35-0.png\" \/>\n<meta name=\"author\" content=\"\u6587, \u7fd4\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u6587, \u7fd4\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/46368-2\/\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/46368-2\/\",\"name\":\"- Blog - 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$ mkdir pytorch-lab[\u306a\u3093\u3067\u3082\u826f\u3044]\r\n$ cd pytorch-lab\r\n<\/code><\/pre>\nDockerfile\u3092\u4f5c\u6210<\/h2>\n$ vim Dockerfile\r\n<\/code><\/pre>\nFROM<\/span> pytorch\/pytorch:latest<\/span>\r\n\r\n# Install required libraries<\/span>\r\nRUN <\/span>conda config --add<\/span> channels pytorch \\\r\n<\/span> &&<\/span> conda config --append<\/span> channels conda-forge \\\r\n<\/span> &&<\/span> conda update --all<\/span> --yes<\/span> --quiet<\/span> \\\r\n<\/span> &&<\/span> conda install<\/span> --yes<\/span> --quiet<\/span> \\\r\n<\/span> ipywidgets \\\r\n<\/span> jupyterlab \\\r\n<\/span> matplotlib \\\r\n<\/span> nodejs \\\r\n<\/span> opencv \\\r\n<\/span> pandas \\\r\n<\/span> scikit-learn \\\r\n<\/span> seaborn \\\r\n<\/span> sympy \\\r\n<\/span> &&<\/span> conda clean --all<\/span> -f<\/span> -y<\/span>\r\n\r\n# Install jupyter extensions<\/span>\r\nRUN <\/span>jupyter nbextension enable<\/span> --py<\/span> --sys-prefix<\/span> widgetsnbextension \\\r\n<\/span> &&<\/span> jupyter labextension install<\/span> @jupyter-widgets\/jupyterlab-manager\r\n\r\nCOPY<\/span> jupyter_notebook_config.py \/root\/.jupyter\/<\/span>\r\n\r\n<\/code><\/pre>\n\u3084\u3063\u3066\u3044\u308b\u3053\u3068\u306f<\/p>\n
\n- \n
base image\u3068\u3057\u3066pytorch\/pytorch\u3092\u4f7f\u7528\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
\u305d\u306e\u307e\u307econda update\u3092\u884c\u3046\u3068pytorch\u304c\u30c0\u30a6\u30f3\u30b0\u30ec\u30fc\u30c9\u3055\u308c\u3066\u3057\u307e\u3046\u306e\u3067\u3001conda config –add channels pytorch\u3067pytorch\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u9ad8\u512a\u5148\u5ea6\u3067\u8ffd\u52a0\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
conda\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3060\u3051\u3060\u3068\u8db3\u308a\u306a\u3044\u3053\u3068\u304c\u3042\u308b\u306e\u3067conda config –append channels conda-forge\u3067conda-forge\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f4e\u512a\u5148\u5ea6\u3067\u767b\u9332\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
jupyterlab\u3067tqdm\u3067\u306e\u9032\u6357\u30d0\u30fc\u8868\u793a\u304c\u884c\u3048\u308b\u3088\u3046\u306bjupyterlab\u306e\u62e1\u5f35\u6a5f\u80fd\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\u5f8c\u8ff0\u3059\u308bjupyter\u306e\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30d4\u30fc\u3002<\/ul>\njupyter\u306e\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3002<\/h2>\n
Dockerfile\u3068\u540c\u3058\u5834\u6240\u306bjupyter_notebook_config.py\u3092\u4f5c\u6210\u3002<\/p>\n
\u79c1\u306f\u8a66\u884c\u932f\u8aa4\u3057\u3066\u3044\u305f\u969b\u306b\u4f7f\u7528\u3057\u305fjupyter\/docker-stacks\/base-notebook\/jupyter_notebook_config.py\u3092\u30b3\u30d4\u30fc\u3057\u3066\u8a2d\u5b9a\u3092\u66f8\u304d\u52a0\u3048\u3066\u3044\u307e\u3059\u3002
\n\u8ffd\u52a0\u3057\u305f\u8a2d\u5b9a\u306f<\/p>\n
\n- \n
c.NotebookApp.allow_root = True : root\u3067\u306e\u8d77\u52d5\u3092\u8a31\u53ef<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
c.NotebookApp.password = ‘\u30d1\u30b9\u30ef\u30fc\u30c9\u306e\u30cf\u30c3\u30b7\u30e5\u5024’ : \u30ed\u30b0\u30a4\u30f3\u30d1\u30b9\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a<\/ul>\n\u30d1\u30b9\u30ef\u30fc\u30c9\u306e\u30cf\u30c3\u30b7\u30e5\u5024\u306f\u30ed\u30fc\u30ab\u30eb\u306epython\u306bipython\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308c\u3070\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u751f\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n
$<\/span> ipython<\/span>\r\n\r\nIn<\/span> [<\/span>1<\/span>]:<\/span> from<\/span> IPython.lib<\/span> import<\/span> passwd<\/span>\r\nIn<\/span> [<\/span>2<\/span>]:<\/span> passwd<\/span>()<\/span>\r\n<\/code><\/pre>\n\u30d1\u30b9\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3057\u3066\u8868\u793a\u3055\u308c\u308b’sha1:~’\u3092\u30b3\u30d4\u30fc\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
c<\/span>.<\/span>NotebookApp.<\/span>allow_root =<\/span> True\r\nc<\/span>.<\/span>NotebookApp.<\/span>password =<\/span> 'sha1:~'<\/span>\r\n<\/code><\/pre>\n\u3053\u308c\u3089\u3092c.NotebookApp.open_browser = False\u306e\u5f8c\u308d\u3042\u305f\u308a\u306b\u6253\u3061\u8fbc\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n
image\u306e\u30d3\u30eb\u30c9<\/h2>\n
\u4e0a\u8a18\u306eDockerfile\u304a\u3088\u3073Jupiter_notebook_config\u306e\u3042\u308b\u30d5\u30a9\u30eb\u30c0\u3067\u30d3\u30eb\u30c9\u3092\u884c\u3044\u307e\u3059\u3002
\npytorch-lab\u306e\u3068\u3053\u308d\u306f\u308f\u304b\u308a\u3084\u3059\u3044\u4efb\u610f\u306e\u540d\u524d\u3092\u3064\u3051\u3066\u304f\u3060\u3055\u3044\u3002
\n\u521d\u56de\u306f\u30d9\u30fc\u30b9\u306epytorch\/pytorch\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u884c\u308f\u308c\u308b\u306e\u3067\u3057\u3070\u3089\u304f\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002<\/p>\n
$ docker build -t pytorch-lab .\/\r\n<\/code><\/pre>\ndocker images\u3067\u4f5c\u6210\u3057\u305f\u30a4\u30e1\u30fc\u30b8\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u305f\u3089\u6210\u529f\u3067\u3059\u3002<\/p>\n
$ docker images\r\nREPOSITORY TAG IMAGE ID CREATED SIZE\r\npytorch-lab latest bd952fdf9b43 12 seconds ago 6.15GB\r\npytorch\/pytorch latest 37b81722dadc 9 days ago 4.16GB\r\n<\/code><\/pre>\n\u8d77\u52d5\u65b9\u6cd5<\/h2>\n
\/home\/[\u30e6\u30fc\u30b6\u30fc\u540d]\/ML\/\u306b\u30c7\u30fc\u30bf\u3092\u4fdd\u5b58\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/p>\n
$ docker run -d --rm --gpus all -v ~\/ML:\/workspace -p 8888:8888 --name pytorch pytorch-lab jupyter lab\r\n<\/code><\/pre>\n\u30aa\u30d7\u30b7\u30e7\u30f3
\n-d \u30d0\u30c3\u30af\u30b0\u30e9\u30a6\u30f3\u30c9\u3067\u5b9f\u884c
\n–rm \u30b3\u30f3\u30c6\u30ca\u7d42\u4e86\u6642\u306b\u30b3\u30f3\u30c6\u30ca\u3092\u524a\u9664
\n–gpus all \u30b3\u30f3\u30c6\u30ca\u3067GPU\u3092\u4f7f\u7528\u53ef\u80fd\u306b\u3059\u308b
\n-v ~\/ML:\/workspace \u30ed\u30fc\u30ab\u30eb\u306e~\/ML\u3092\u30b3\u30f3\u30c6\u30ca\u306e\/workspace\u306b\u30de\u30a6\u30f3\u30c8\u3057\u3066\u4f5c\u6210\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u304c\u4fdd\u5b58\u3055\u308c\u308b\u3088\u3046\u306b\u3059\u308b\u3002
\n-p 8888:8888 \u30ed\u30fc\u30ab\u30eb\u306e\u30dd\u30fc\u30c88888\u3078\u306e\u63a5\u7d9a\u3092\u30b3\u30f3\u30c6\u30ca\u306e8888(jupyterlab)\u3078\u9001\u308b\u3002
\n–name pytorch \u30b3\u30f3\u30c6\u30ca\u306b\u4efb\u610f\u306e\u540d\u524d\u3092\u3064\u3051\u308b\u3002<\/p>\n
\u4f7f\u3044\u65b9<\/h2>\n
\u30d6\u30e9\u30a6\u30b6\u304b\u3089http:\/\/localhost:8888\/\u306b\u63a5\u7d9a\u3001\u30ed\u30b0\u30a4\u30f3\u30da\u30fc\u30b8\u304c\u8868\u793a\u3055\u308c\u308b\u306e\u3067\u8a2d\u5b9a\u3057\u305f\u30d1\u30b9\u30ef\u30fc\u30c9\u3067\u30ed\u30b0\u30a4\u30f3\u3059\u308b\u3002<\/p>\n
<\/div>\n\u554f\u984c\u70b9<\/h1>\n\n- \n
pytorch\u306e\u30a4\u30e1\u30fc\u30b8\u3082\u30e9\u30a4\u30d6\u30e9\u30ea\u3082\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u6307\u5b9a\u305b\u305a\u30d3\u30eb\u30c9\u306e\u5ea6\u306b\u6700\u65b0\u306e\u3082\u306e\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u308b\u306e\u3067\u3001\u4eca\u5f8c\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u6b21\u7b2c\u3067\u306f\u4f5c\u3063\u305f\u30a4\u30e1\u30fc\u30b8\u304c\u3046\u307e\u304f\u52d5\u4f5c\u3057\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
\n- \n
root\u3067jupyterlab\u3092\u8d77\u52d5\u3059\u308b\u306e\u306f\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u7684\u306b\u3069\u3046\u306a\u3093\u3060\u308d\u3046(SSH\u30dd\u30fc\u30c8\u30d5\u30a9\u30ef\u30fc\u30c9\u3092\u524d\u63d0\u306b\u306f\u3057\u3066\u3044\u308b)\u3002<\/ul>\n<\/li>\n<\/ul>\n <\/p>\n
tqdm\u306e\u8868\u793a\u306f\u3046\u307e\u304f\u3044\u304f\u304c\u3001torch vision.datasets.MNIST\u306a\u3069\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u6642\u306e\u9032\u6357\u30d0\u30fc\u306f\u6b63\u5e38\u306b\u8868\u793a\u3055\u308c\u306a\u3044\u3002<\/ul>\n","protected":false},"excerpt":{"rendered":"\u3050\u3050\u308a\u306a\u304c\u3089\u898b\u69d8\u898b\u771f\u4f3c\u3067docker\u3092\u4f7f\u3063\u3066\u307f\u307e\u3057\u305f\u3002 \u76ee\u7684 PyTorch\u306b\u3088\u308b\u767a\u5c55\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u3067\u304d […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46368","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n
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