{"id":2592,"date":"2023-04-18T13:48:55","date_gmt":"2023-04-18T05:48:55","guid":{"rendered":"https:\/\/divis.cn\/?p=2592"},"modified":"2026-02-07T20:05:43","modified_gmt":"2026-02-07T12:05:43","slug":"win11%e7%8e%af%e5%a2%83%e4%b8%8bdocker%e5%ae%89%e8%a3%85clip%e6%a8%a1%e5%9e%8b%e6%b5%81%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.divis.cn\/index.php\/2023\/04\/18\/win11%e7%8e%af%e5%a2%83%e4%b8%8bdocker%e5%ae%89%e8%a3%85clip%e6%a8%a1%e5%9e%8b%e6%b5%81%e7%a8%8b\/","title":{"rendered":"win11\u73af\u5883\u4e0bdocker\u5b89\u88c5clip\u6a21\u578b\u4fdd\u59c6\u7ea7\u6d41\u7a0b"},"content":{"rendered":"

\u8fd1\u671f\u56e0\u4e3a\u8bba\u6587\u9879\u76ee\u7684\u539f\u56e0\uff0c\u9700\u8981\u90e8\u7f72\u4f7f\u7528clip\u6a21\u578b\u3002\u4f46\u662f\u5b66\u751f\u90a3\u8fb9\u6ca1\u6709\u5b89\u88c5\u8fd9\u7c7b\u8f6f\u4ef6\u7684\u7ecf\u9a8c\u5f04\u4e0d\u597d\u3002\u6211\u5c31\u60f3\u7740\u8ba9\u5b66\u751f\u88c5\u4e2adocker\u7684clip\u955c\u50cf\u89e3\u51b3\u95ee\u9898\u3002\u4f46\u662f\u6211\u5728docker hub\u548cgithub\u4e0a\u627e\u4e86\u534a\u5929\uff0c\u6ca1\u6709\u627e\u5230\u72ec\u7acb\u7684clip\u955c\u50cf\uff0c\u90fd\u662f\u8ddf\u5176\u4ed6\u6a21\u578b\u6df7\u642d\u7684\u7248\u672c\u3002\u6d59\u5927\u535a\u58eb\u8bf4clip\u5f88\u597d\u5b89\u88c5\uff0cpytorch\u76f4\u63a5\u62c9\u53d6\u5c31\u884c\u4e86\uff0c\u4f30\u8ba1\u8fd9\u5c31\u662f\u6ca1\u6709\u72ec\u7acb\u955c\u50cf\u7684\u539f\u56e0\u5427\u3002<\/p>\n

\u867d\u7136\u7406\u8bba\u4e0a\u53ef\u4ee5\u76f4\u63a5\u5728windows11\u7684\u7535\u8111\u4e0a\u4f9d\u6b21\u5b89\u88c5python\u3001PyTorch\u3001torchvision\u3001cudatoolkit\u548cCLIP\u8fbe\u5230\u4f7f\u7528clip\u6a21\u578b\u7684\u76ee\u7684\u3002\u4f46\u662f\u4e3a\u4e86\u4fbf\u4e8e\u5b66\u751f\u4f7f\u7528\uff0c\u4e8e\u662f\u76ee\u6807\u6539\u4e3a\uff0c\u5148\u62c9\u53d6\u4e2adocker\u955c\u50cf\u5b89\u88c5\u4e2alinux\u5b50\u7cfb\u7edf\uff0c\u7136\u540e\u5728\u5b50\u7cfb\u7edf\u4e2d\u5b89\u88c5\u597dpython\u3001PyTorch\u3001torchvision\u3001cudatoolkit\u548cCLIP\uff0c\u6700\u540e\u518d\u53d1\u5e03\u51fa\u6765\u3002\u8fd9\u6837\u4ed6\u4eec\u65e0\u8bba\u662f\u4eceubuntu\u955c\u50cf\u5f00\u59cb\u4ece\u5934\u5b89\u88c5\uff0c\u8fd8\u662f\u76f4\u63a5\u62c9\u53d6\u6211\u88c5\u597d\u7684\u955c\u50cf\uff0c\u90fd\u53ef\u4ee5\u5f88\u5feb\u7528\u4e0a\u3002\u4ee5\u4e0b\u662f\u6211\u505a\u7684\u6b65\u9aa4\u3002<\/p><\/blockquote>\n

windows11\u5b89\u88c5docker<\/h2>\n

\u5bbf\u4e3b\u673a\u73af\u5883\uff1awin11 64\u4f4d\u7248\u672c\uff0c2060\u663e\u53616G\u663e\u5b58\uff0c\u9664\u4e86\u57ce\u5e02\u5929\u9645\u7ebf\u3001\u94c1\u7532\u96c4\u5175\u7b49\u6e38\u620f\u5916\u4ec0\u4e48\u90fd\u6ca1\u6709\u7684\u795e\u5dde\u8d85\u7ea7\u6218\u795e\u7b14\u8bb0\u672c<\/p>\n

\u5148\u5b89\u88c5git\uff0chttps:\/\/git-scm.com\/<\/a><\/p>\n

\u4e0b\u8f7d\u5b89\u88c5docker desktop: Install Docker Desktop on Windows<\/a><\/p>\n

\u5728win11\u4e2d\u9ed8\u8ba4\u542f\u7528WSL2\u4f5c\u4e3aLinux\u5bb9\u5668\u3002\u6240\u4ee5\u8fd8\u8981\u66f4\u65b0WSL2\u3002 \u6253\u5f00powershell,\u00a0 \u8f93\u5165\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5373\u53ef\uff1a<\/p>\n

wsl –update<\/p><\/blockquote>\n

\u4e3a\u4e86\u8ba9windows11\u5bbf\u4e3b\u673a\u4e2d\u7684docker\u955c\u50cf\u53ef\u4ee5\u4f7f\u7528\u663e\u5361\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3001\u6a21\u578b\u8bad\u7ec3\u4e4b\u7c7b\u7684\u64cd\u4f5c\uff0c\u9700\u8981\u5148\u5728\u5bbf\u4e3b\u673a\u5b89\u88c5Nvidia\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f\u548cCUDA\u5de5\u5177\u5305\u3002\u663e\u5361\u9a71\u52a8\u53ef\u4ee5\u6839\u636e\u663e\u5361\u578b\u53f7\u5230nvidia\u5b98\u7f51\u53bb\u4e0b\u8f7d\u5b89\u88c5\u3002CUDA\u5de5\u5177\u5305\u7684\u6700\u65b0\u7248\u4e0b\u8f7d\u5730\u5740\u5982\u4e0b\uff1aCUDA Toolkit 12.1 Downloads | NVIDIA Developer<\/a><\/p>\n

<\/p>\n

\u5b89\u88c5\u597d\u540e\uff0c\u53ef\u4ee5\u5728\u5bbf\u4e3b\u673a\u7684\u7ec8\u7aef\u4e2d\uff0c\u8f93\u5165nvidia-smi\u67e5\u770b\u5f53\u524d\u9a71\u52a8\u7a0b\u5e8f\u7248\u672c\u3002<\/p>\n

<\/p>\n

\u7136\u540e\u53ef\u4ee5\u7528\u4e00\u4e2adocker\u793a\u4f8b\u7a0b\u5e8f\u9a8c\u8bc1docker\u662f\u5426\u53ef\u4ee5\u8bbf\u95eeGPU<\/p>\n

docker run –gpus all nvcr.io\/nvidia\/k8s\/cuda-sample:nbody nbody -gpu -benchmark<\/p><\/blockquote>\n

<\/p>\n

\n

\u5b89\u88c5\u5305\u542bclip\u6a21\u578b\u7684linux\u5b50\u7cfb\u7edf<\/h2>\n

\u62c9\u53d6docker\u7684linux\u955c\u50cf<\/p>\n

\u5728 PowerShell \u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u4ee5\u4e0b\u8f7d Linux ubuntu\u7684\u6700\u65b0\u955c\u50cf\uff1a<\/p>\n

docker pull ubuntu:latest<\/p><\/blockquote>\n

\u5728 PowerShell \u4e2d\u8fd0\u884c\u4ee5\u4e0b\u683c\u5f0f\u547d\u4ee4\uff0c\u4ee5\u542f\u7528GPU\u7684\u65b9\u5f0f\u542f\u52a8\u5bb9\u5668\uff1adocker run –name [\u7ed9\u4f60\u7684\u5bb9\u5668\u8d77\u7684\u540d\u5b57] –gpus all -it [\u4f60\u4e0b\u8f7d\u7684ubuntu\u955c\u50cfID\u6216\u540d\u5b57] \/bin\/bash<\/span><\/p>\n

docker run –name myClipDemo –gpus all -it ubuntu \/bin\/bash<\/p><\/blockquote>\n

\"\"
docker desktop\u7684\u955c\u50cf\u9875\u9762\u3002\u6ce8\u610f\u955c\u50cf\uff08image\uff09\u548c\u5bb9\u5668\uff08container\uff09\u7684\u533a\u522b\u3002<\/figcaption><\/figure>\n

\u9700\u8981\u8bf4\u660e\u7684\u662f\uff0c\u5728\u7b2c\u4e00\u6b21\u6267\u884cdocker run\u547d\u4ee4\u542f\u52a8\u5bb9\u5668\u65f6\uff0c\u5c31\u5e94\u8be5\u52a0\u5165–gpus all\u547d\u4ee4\u542f\u7528\u5bf9\u5bbf\u4e3b\u673aGPU\u7684\u4f7f\u7528\u6743\u9650\u3002\u5982\u679c\u5fd8\u8bb0\u4f7f\u7528\u8be5\u547d\u4ee4\u8be5\u600e\u4e48\u529e\uff1f\u4ee5\u4e0b\u65f6chatGPT\u63d0\u4f9b\u7ed9\u6211\u7684\u7b54\u6848\uff1a<\/p>\n

    \n
  1. \u5728\u5f53\u524d\u7ec8\u7aef\u7a97\u53e3\u4e2d\u6309 Ctrl + C<\/code> \u7ec8\u6b62\u5bb9\u5668\u3002\u4f7f\u7528 docker ps<\/code> \u547d\u4ee4\u67e5\u627e\u5bb9\u5668\u7684 ID\u3002\n
    \n
    docker ps
    \n<\/code><\/div>\n<\/div>\n<\/li>\n
  2. \u4f7f\u7528 docker commit<\/code> \u547d\u4ee4\u5c06\u5f53\u524d\u5bb9\u5668\u7684\u72b6\u6001\u4fdd\u5b58\u4e3a\u65b0\u7684\u955c\u50cf\u3002\n
    \n
    docker commit [CONTAINER ID]<\/span> new_image_name
    \n<\/code><\/div>\n<\/div>\n

    \u5c06 [CONTAINER ID]<\/code> \u66ff\u6362\u4e3a\u7b2c\u4e00\u6b65\u4e2d\u627e\u5230\u7684\u5bb9\u5668 ID\uff0c\u5c06 new_image_name<\/code> \u66ff\u6362\u4e3a\u65b0\u7684\u955c\u50cf\u540d\u79f0\u3002<\/li>\n

  3. \u4f7f\u7528 docker run<\/code> \u547d\u4ee4\u542f\u52a8\u4e00\u4e2a\u65b0\u7684\u5bb9\u5668\uff0c\u5e76\u5728\u5176\u4e2d\u4f7f\u7528 --gpus all<\/code> \u9009\u9879\u6765\u542f\u7528 GPU \u652f\u6301\u3002\u4f7f\u7528\u65b0\u7684\u955c\u50cf\u540d\u79f0\u6765\u66ff\u6362\u539f\u6765\u7684\u955c\u50cf\u540d\u79f0\u3002\n
    \n
    docker run --gpus<\/span> all<\/span> -it new_image_name \/bin\/bash<\/code><\/div>\n<\/div>\n<\/li>\n<\/ol>\n

    \u63a5\u4e0b\u6765\u66f4\u65b0apt<\/p>\n

    apt-get update<\/p><\/blockquote>\n

    \u7136\u540e\u88c5\u4e2awget\u65b9\u4fbf\u4e0b\u8f7d\u5176\u4ed6\u5404\u79cd\u5b89\u88c5\u5305<\/p>\n

    apt-get install wget<\/p><\/blockquote>\n

    <\/p>\n

    \u5fc5\u987b\u8981\u8bf4\u660e\u7684\u662f\uff0cpytorch\u7684\u7248\u672c\u4e0ecudatoolkit\u7248\u672c\u662f\u4e00\u4e00\u5bf9\u5e94\u7684\u5173\u7cfb\uff0c\u4e0d\u5b58\u5728\u9ad8\u7248\u672c\u5411\u4e0b\u517c\u5bb9\u4e00\u8bf4\u3002\u56e0\u6b64\u6700\u597d\u7528\u6309\u7167github\u4e2dopenAi\/Clip\u7684\u5b89\u88c5\u8bf4\u660e\uff0c\u4f7f\u7528conda\u547d\u4ee4\u4e00\u8d77\u5b89\u88c5\u6307\u5b9a\u7684pytorch\u7248\u672c\u4e0ecudatoolkit\u7248\u672c\u3002\u6240\u4ee5\u5148\u5b89\u88c5\u4e2aminiconda\uff0c\u4ee5\u4fbf\u80fd\u4f7f\u7528conda\u547d\u4ee4\u3002<\/p>\n

    \n
    Anaconda\u662f\u4e00\u4e2a\u5f00\u6e90\u7684Python\u5305\u7ba1\u7406\u5de5\u5177\uff0c\u5176\u5305\u542b\u4e86conda<\/a>\u3001Python\u7b49180\u591a\u4e2a\u79d1\u5b66\u5305\u53ca\u5176\u4f9d\u8d56\u9879\u3002\u56e0\u4e3a\u5305\u542b\u4e86\u5927\u91cf\u7684\u79d1\u5b66\u5305\uff0cAnaconda \u7684\u4e0b\u8f7d\u6587\u4ef6\u6bd4\u8f83\u5927\uff08\u7ea6 531 MB\uff09\uff0c\u5982\u679c\u53ea\u9700\u8981\u67d0\u4e9b\u5305\uff0c\u6216\u8005\u9700\u8981\u8282\u7701\u5e26\u5bbd\u6216\u5b58\u50a8\u7a7a\u95f4\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528Miniconda\u8fd9\u4e2a\u8f83\u5c0f\u7684\u53d1\u884c\u7248\u3002\u5b89\u88c5\u597dminiconda\u4ee5\u540e\u53ef\u4ee5\u4f7f\u7528conda\u547d\u4ee4\u5b89\u88c5pytorch\u7b49\u8f6f\u4ef6\u3002<\/div>\n
    <\/div>\n
    \u9700\u8981\u6ce8\u610f\u7684\u662f\u4e0b\u8f7d\u5b89\u88c5miniconda\u7684\u7248\u672c\uff0c\u4e0epython\u7248\u672c\u4e5f\u662f\u4e00\u4e00\u5bf9\u5e94\u7684\u5173\u7cfb\u3002\u4e3a\u4e86\u5339\u914dpytorch=1.7.1\u00a0 cudatoolkit=11.0\u7684\u7248\u672c\uff0cminiconda\u9700\u8981\u5b89\u88c5python3.7\u7684\u7248\u672c\u3002\u6211\u4e5f\u662f\u5b89\u88c5\u6700\u65b0\u7248\u4ee5\u540e\u6267\u884c\u201cconda install –yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0\u201d\u547d\u4ee4\u5931\u8d25\u540e\u624d\u53d1\u73b0\u7684\u3002<\/div>\n<\/div>\n

    \u6240\u4ee5\u6211\u4eec\u5e94\u8be5\u4e0b\u8f7d\u5982\u4e0b\u7684\u5b89\u88c5\u811a\u672c<\/p>\n

    wget https:\/\/repo.anaconda.com\/miniconda\/Miniconda3-py37_23.1.0-1-Linux-x86_64.sh<\/p><\/blockquote>\n

    <\/p>\n

    \u8fd0\u884c\u5b89\u88c5\u811a\u672c<\/p>\n

    bash Miniconda3-py37_23.1.0-1-Linux-x86_64.sh<\/p><\/blockquote>\n

    \u63a5\u4e0b\u6765\u6309\u7167\u5b89\u88c5\u7a0b\u5e8f\u7684\u63d0\u793a\u64cd\u4f5c\uff0c\u4e00\u8def\u8f93\u5165\u56de\u8f66\u6216yes\u6765\u5b8c\u6210\u5b89\u88c5\u3002<\/p>\n

    <\/p>\n

    \u7136\u540e\u5173\u95ed\u5f53\u524d\u7ec8\u7aef\uff0c\u91cd\u65b0\u6253\u5f00\u4e00\u4e2a\u65b0\u7ec8\u7aef\uff0cminiconda\u624d\u80fd\u751f\u6548\u3002\u6253\u5f00\u65b0\u7ec8\u7aef\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u5373\u53ef<\/p>\n

    docker exec -it [\u4f60\u7684\u5bb9\u5668\u540d\u79f0] \/bin\/bash<\/p><\/blockquote>\n

    \u6b64\u65f6\u53ef\u4ee5\u67e5\u770b\u7248\u672c\u53f7\u547d\u4ee4\u6765\u67e5\u770bminiconda\u662f\u5426\u5df2\u7ecf\u6b63\u786e\u5b89\u88c5\u3002<\/p>\n

    conda –version<\/span><\/p>\n

    python –version<\/span><\/p><\/blockquote>\n

    \u00a0\u5982\u679c\u4ee5\u4e0a\u547d\u4ee4\u6267\u884c\u65e0\u8bef\uff0c\u5219\u53ef\u4ee5\u5220\u9664\u4e4b\u524d\u7684miniconda\u5b89\u88c5\u811a\u672c<\/span><\/p>\n

    rm Miniconda3-py37_23.1.0-1-Linux-x86_64.sh<\/p><\/blockquote>\n

    \u66f4\u65b0miniconda<\/span><\/p>\n

    \n
    \n
    \n
    conda\u00a0install\u00a0–channel\u00a0defaults\u00a0conda\u00a0python=3.7<\/span> –yes<\/div>\n
    conda\u00a0update\u00a0–channel\u00a0defaults\u00a0–all\u00a0–yes<\/span><\/div>\n<\/blockquote>\n<\/div>\n<\/div>\n

    \u6709\u4e86conda\uff0c\u5c31\u53ef\u4ee5\u6309\u7167github\u4e0aclip\u7684\u5b89\u88c5\u6d41\u7a0b\u6765\u641e\u5b9aclip\u4e86\uff1a<\/p>\n

    $ conda install –yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
    \n$ pip install ftfy regex tqdm
    \n$ pip install git+https:\/\/github.com\/openai\/CLIP.git<\/p><\/blockquote>\n

    <\/p>\n

    <\/p>\n

    <\/p>\n

    \u6ce8\u610f\u6700\u540e\u4e00\u4e2a\u547d\u4ee4\u6267\u884c\u5931\u8d25\uff0c\u8bf4git\u7248\u672c\u627e\u4e0d\u5230\u3002\u53ef\u4ee5\u5148\u4f7f\u7528apt\u7ed9Linux\u5b50\u7cfb\u7edf\u5b89\u88c5\u597dgit\uff0c\u6216\u8005\u5148\u66f4\u65b0pip\u7136\u540e\u518d\u6267\u884c\u547d\u4ee4\u3002\u6211\u7684\u64cd\u4f5c\u662f\u4e24\u4e2a\u90fd\u505a\u4e86\uff1a<\/p>\n

    apt\u5b89\u88c5git<\/p>\n

    apt-get update<\/p>\n

    apt-get install\u00a0git<\/em><\/p><\/blockquote>\n

    \u66f4\u65b0pip<\/p>\n

    pip install –upgrade<\/span> pip<\/p><\/blockquote>\n

    \u6700\u540e\u518d\u6267\u884c<\/p>\n

    pip install git+https:\/\/github.com\/openai\/CLIP.git<\/p><\/blockquote>\n

    <\/p>\n

    \n

    Clip\u6a21\u578b\u7684\u4f7f\u7528\u6d4b\u8bd5<\/h2>\n

    \u5728\u5bbf\u4e3b\u673a\u521b\u5efa\u4e00\u4e2a\u540d\u4e3atest_clip.py\u7684\u6587\u4ef6\uff0c\u5176\u4e2d\u5305\u542b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n

    import torch
    \nimport clip
    \nfrom PIL import Image<\/p>\n

    # \u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b
    \ndevice = “cuda” if torch.cuda.is_available() else “cpu”
    \nmodel, preprocess = clip.load(“ViT-B\/32”, device=device)<\/p>\n

    # \u5b9a\u4e49\u56fe\u50cf\u8def\u5f84\u548c\u6807\u7b7e
    \nimage_path = “example.jpg”
    \nlabels = [“cat”, “dog”, “bird”]<\/p>\n

    # \u52a0\u8f7d\u56fe\u50cf
    \nimage = preprocess(Image.open(image_path)).unsqueeze(0).to(device)<\/p>\n

    # \u5c06\u56fe\u50cf\u7f16\u7801\u4e3a\u7279\u5f81\u5411\u91cf
    \nwith torch.no_grad():
    \nimage_features = model.encode_image(image)<\/p>\n

    # \u52a0\u8f7d\u6807\u7b7e\uff0c\u5e76\u5c06\u5176\u7f16\u7801\u4e3a\u7279\u5f81\u5411\u91cf
    \nwith torch.no_grad():
    \ntext_features = model.encode_text(clip.tokenize(labels).to(device))<\/p>\n

    # \u8ba1\u7b97\u56fe\u50cf\u548c\u6807\u7b7e\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\u5f97\u5206\uff0c\u5e76\u6253\u5370\u7ed3\u679c
    \nwith torch.no_grad():
    \nsimilarity_scores = (100.0 * image_features @ text_features.T).softmax(dim=-1)[0]
    \nfor i, label in enumerate(labels):
    \nprint(f”{label}: {similarity_scores[i]:.2f}%”)<\/p><\/blockquote>\n

    \u7136\u540e\u518d\u627e\u4e2a\u56fe\u7247\uff0c\u91cd\u547d\u540d\u4e3aexample.jpg\uff0c\u6bd4\u5982\u8fd9\u4e2a\uff1a<\/p>\n

    <\/p>\n

    \u7136\u540e\u628atest_clip.py\u548cexample.jpg\u90fd\u653e\u5230\u4e00\u4e2atest\u6587\u4ef6\u5939\u91cc\uff0c\u7136\u540eimport\u5230\u6211\u7684linux\u5b50\u7cfb\u7edf\u4e2d\u3002\u5177\u4f53\u7684\u8bf4\uff0c\u6211\u4e0a\u4f20\u5230\u4e86opt\u76ee\u5f55\u4e0b\u3002<\/p>\n

    <\/p>\n

    <\/p>\n

    \u7136\u540e\u56de\u5230linux\u5b50\u7cfb\u7edf\u7684\u7ec8\u7aef\uff0c\u8fdb\u5165\u8be5\u76ee\u5f55\uff0c\u5e76\u8fd0\u884cpython\u6587\u4ef6<\/p>\n

    cd opt\/test<\/p>\n

    python test_clip.py<\/p><\/blockquote>\n

    \u8fd4\u56de\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n

    <\/p>\n

    \n

    \u5c06linux\u5b50\u7cfb\u7edf\u6253\u5305\u4e3a\u955c\u50cf<\/h2>\n

    \u73b0\u5728\u6211\u5df2\u7ecf\u505a\u597d\u4e86\u4e00\u4e2a\u901a\u8fc7\u6d4b\u8bd5\u7684clip\u6a21\u578blinux\u5b50\u7cfb\u7edf\u3002\u6211\u60f3\u8981\u628a\u5b83\u6253\u5305\u4e3a\u955c\u50cf\uff0c\u7136\u540e\u5206\u4eab\u7ed9\u5176\u4ed6\u4eba\u4f7f\u7528\u3002\u64cd\u4f5c\u6d41\u7a0b\u5982\u4e0b\uff1a<\/p>\n

    1.\u5148\u767b\u5f55\u5230docker hub\u7f51\u7ad9\u4e0a\uff0c\u6ce8\u518c\u5e76\u767b\u5f55\u8d26\u53f7\uff08\u9700\u79d1\u5b66\u4e0a\u7f51\uff09\uff0c\u70b9\u51fbrepositories\u9009\u9879\u5361\uff0c\u70b9\u51fbcreate repository(\u521b\u5efa\u5b58\u50a8\u5e93)\uff0c\u521b\u5efa\u4e00\u4e2a\u81ea\u5df1\u7684\u5b58\u50a8\u5e93\u3002<\/p>\n

    <\/p>\n

    <\/p>\n

    2.\u786e\u4fdd\u8981\u6253\u5305\u7684docker\u5bb9\u5668\u5728\u8fd0\u884c\uff0c\u4f7f\u7528\u4e0b\u9762\u8fd9\u4e2a\u547d\u4ee4\u68c0\u67e5\u72b6\u6001\uff1a<\/p>\n

    docker ps<\/p><\/blockquote>\n

    <\/p>\n

    \u53ef\u4ee5\u770b\u5230\u6211\u4e4b\u524d\u5b89\u88c5\u7684ClipDemo\u6b63\u5728\u8fd0\u884c\uff0c\u590d\u5236\u524d\u9762\u7684container ID<\/p>\n

    3. \u5c06\u5bb9\u5668\u6253\u5305\u4e3a\u955c\u50cf<\/p>\n

    \u7136\u540e\u6309\u7167\u4ee5\u4e0b\u683c\u5f0f\u8f93\u5165\u547d\u4ee4\uff1a<\/p>\n

    docker commit <container_id<\/span>><\/span> <image_name<\/span>><\/span>:<tag<\/span>><\/span><\/p>\n

    \u5176\u4e2d\uff0c<container_id><\/code>\u662f\u5bb9\u5668\u7684ID\uff0c\u53ef\u4ee5\u4f7f\u7528docker ps<\/code>\u547d\u4ee4\u83b7\u53d6\uff0c<image_name><\/code>\u662f\u60a8\u8981\u4e3a\u955c\u50cf\u547d\u540d\u7684\u540d\u79f0\uff0c\u5e94\u4e0edocker hub\u4e0a\u4f60\u8981\u63a8\u9001\u7684\u5730\u5740\u4e00\u81f4\uff0c\u7b80\u5355\u7684\u8bf4\u5c31\u662f\u201c\u8d26\u53f7\/\u5b58\u50a8\u5e93\u201d\uff0c\u5728\u6211\u8fd9\u4e2a\u4f8b\u5b50\u91cc\u662f\u201czhangdiwaa\/divis\u201d\uff0c\u603b\u4e4b\u4e0d\u80fd\u968f\u4fbf\u547d\u540d\uff0c\u8fd9\u4e5f\u662f\u8e29\u8fc7\u5751\u624d\u77e5\u9053\u3002<tag><\/code>\u662f\u60a8\u8981\u4e3a\u955c\u50cf\u6307\u5b9a\u7684\u6807\u7b7e\uff0c\u901a\u5e38\u4e3a\u7248\u672c\u53f7\u6216\u65e5\u671f\uff0c\u5176\u7528\u9014\u662f\u533a\u522b\u540c\u4e00\u4e2a\u5b58\u50a8\u5e93\u4e0b\u7684\u4e0d\u540c\u955c\u50cf\uff0c\u4e5f\u4e0d\u80fd\u6ca1\u6709\u3002<\/p>\n

    \u6240\u4ee5\u8fd9\u91cc\u6211\u8f93\u5165\u7684\u662f<\/p>\n

    docker commit 324268be0b29 zhangdiwaa\/divis:1.0<\/p><\/blockquote>\n

    \u7b49\u5f85\u8f83\u957f\u4e00\u6bb5\u65f6\u95f4\u540e\uff0c\u663e\u793asha256\u7801\u8bc1\u660e\u4f60\u7684\u955c\u50cf\u5df2\u7ecf\u751f\u6210\u5b8c\u6bd5\u3002<\/p>\n

    4.\u955c\u50cf\u4e0a\u4f20docker hub<\/p>\n

    \u6309\u4e0b\u9762\u683c\u5f0f\u8f93\u5165\u547d\u4ee4\uff1a<\/p>\n

    docker push <dockerHub push\u5730\u5740>:<tag><\/p>\n

    \u5176\u4e2dimage_name\u662f\u4f60\u7684dockerHub push\u5730\u5740\uff0c tag\u5c31\u662f\u4e4b\u524d\u4e3a\u955c\u50cf\u6307\u5b9a\u7684\u6807\u7b7e\u3002\u6240\u4ee5\u8fd9\u91cc\u6211\u8f93\u5165\u7684\u662f\uff1a<\/span><\/span><\/p>\n

    docker push zhangdiwaa\/divis:1.0<\/p><\/blockquote>\n

    \u7136\u540e\u7b49\u5f85\u4e0a\u4f20\u5b8c\u6bd5\u5373\u53ef\u3002<\/p>\n

    <\/p>\n

    \n

    \u62c9\u53d6\u6211\u5c01\u88c5\u597d\u7684\u955c\u50cf\uff0c\u5e76\u4f7f\u7528clip\u6a21\u578b<\/h2>\n

    \u5148\u786e\u5b9a\u4f60\u7684\u7535\u8111\u65f6win11\uff0c\u5b89\u88c5\u597d\u4e86docker\uff0c\u66f4\u65b0\u4e86WSL\uff0c\u5b89\u88c5\u4e86\u663e\u5361\u9a71\u52a8\u548ccuda\u3002<\/p>\n

    \u8fd8\u8bb0\u5f97\u6700\u5f00\u59cb\u6211\u4eec\u662f\u600e\u4e48\u62c9\u53bbubuntu\u955c\u50cf\u5e76\u542f\u52a8\u7684\u4e48\uff1f<\/p>\n

    \u5728 PowerShell \u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u4ee5\u4e0b\u8f7d Linux ubuntu\u7684\u6700\u65b0\u955c\u50cf\uff1a<\/p>\n

    docker pull ubuntu:latest<\/p><\/blockquote>\n

    \u5728 PowerShell \u4e2d\u8fd0\u884c\u4ee5\u4e0b\u683c\u5f0f\u547d\u4ee4\uff0c\u4ee5\u542f\u7528GPU\u7684\u65b9\u5f0f\u542f\u52a8\u5bb9\u5668\uff1adocker run –name [\u7ed9\u4f60\u7684\u5bb9\u5668\u8d77\u7684\u540d\u5b57] –gpus all -it [\u4f60\u4e0b\u8f7d\u7684ubuntu\u955c\u50cfID\u6216\u540d\u5b57] \/bin\/bash<\/span><\/p>\n

    docker run –name myClipDemo –gpus all -it ubuntu \/bin\/bash<\/p><\/blockquote>\n

    \u6240\u4ee5\u4f7f\u7528\u6211\u7684clip\u955c\u50cf\uff0c\u65b9\u6cd5\u4e5f\u5dee\u4e0d\u591a\u3002\u5148\u62c9\u53d6\u955c\u50cf\uff0c\u518d\u4ee5GPU\u65b9\u5f0f\u542f\u7528\u5373\u53ef\uff1a<\/p>\n

    docker pull zhangdiwaa\/divis:1.0<\/p>\n

    docker run –name myClipDemo –gpus all -it zhangdiwaa\/divis:1.0 \/bin\/bash<\/p><\/blockquote>\n

    \u7b49\u4f60\u7684\u5bb9\u5668\u8fd0\u884c\u8d77\u6765\u4ee5\u540e\uff0c\u65e2\u53ef\u4ee5\u76f4\u63a5\u8df3\u5230\u672c\u6587\u7684\u201cClip\u6a21\u578b\u7684\u4f7f\u7528\u6d4b\u8bd5\u201d\u4e00\u8282\u5bf9clip\u6a21\u578b\u8fdb\u884c\u6d4b\u8bd5\u3002<\/p>\n

    \n

    \u5176\u4ed6\u9700\u8981\u6ce8\u610f\u7684\u95ee\u9898<\/h2>\n

    \u6700\u5927\u7684\u4e00\u4e2a\u95ee\u9898\u662f\uff0ccuda\u7248\u672c\u662f\u4e0epytorch\u7248\u672c\u4e25\u683c\u5bf9\u5e94\u7684\uff0c\u4e0d\u5b58\u5728\u9ad8\u7ea7\u7248\u672c\u5bf9\u4f4e\u7ea7\u7248\u672c\u7684\u517c\u5bb9\u3002\u8981\u67e5\u770b\u4f60\u7684pytorch\u4e0e\u54ea\u4e9bcuda\u7248\u672c\u517c\u5bb9\uff0c\u53ef\u4ee5\u67e5\u770b\u8fd9\u4e2a\u7ad9\u70b9\uff1ahttps:\/\/pytorch.org\/get-started\/previous-versions\/<\/p>\n

    \u7136\u540e\u5728\u672c\u4eba\u5b89\u88c5\u6d41\u7a0b\u4e2d\uff0c\u5bbf\u4e3b\u673a\u4f7f\u7528\u7684cuda\u7248\u672c\u662f12.1\uff0c \u800cdocker\u4e2d\u7684linux\u5b50\u7cfb\u7edf\uff0cpytorch\u7248\u672c\u662f1.7.1 \uff0c cudatoolkit\u7248\u672c\u662f11.0\uff0c\u4e5f\u5c31\u662f\u8bf4\u53ea\u6709linux\u5b50\u7cfb\u7edf\u4e2d\u7684pytorch\u7248\u672c\u548ccuda\u7248\u672c\u662f\u5bf9\u5e94\u7684\u3002\u867d\u7136\u8fd9\u4e5f\u53ef\u4ee5\u8fd0\u884c\uff0c\u4f46\u524d\u63d0\u6761\u4ef6\u662f\u6211\u4e0d\u5bf9clip\u6a21\u578b\u672c\u8eab\u8fdb\u884c\u7f16\u8bd1\u3002\u5982\u679c\u8981\u7f16\u8bd1clip\u6a21\u578b\uff0c\u6700\u597d\u5bbf\u4e3b\u673a\u548clinux\u5b50\u7cfb\u7edf\u4f7f\u7528\u540c\u6837\u7684cuda\u7248\u672c11.0, \u907f\u514d\u7f16\u8bd1\u51fa\u9519\u7684\u60c5\u51b5\u3002<\/p>\n

    clip\u5bf9\u4e8eprompt\u5339\u914d\u7a0b\u5ea6\u7684\u9884\u6d4b\uff0c\u9996\u5148\u53d6\u51b3\u4e8e\u4f60\u8bbe\u7f6e\u7684prompt\u6c60\u7684\u8303\u56f4\u3002\u7f51\u4e0a\u5f88\u591astable diffusion webui\u7684\u56fe\u751f\u6587\u7684\u6848\u4f8b\uff0c\u90fd\u662f\u4f7f\u7528\u7c7b\u4f3cDeepDanbooru\u8fd9\u6837\u7684\u6807\u7b7e\u5e93\uff0c\u8ba9clip\u9884\u6d4b\u56fe\u4e0e\u6807\u7b7e\u5e93\u4e2d\u7684\u6807\u7b7e\u4e4b\u95f4\u7684\u5339\u914d\u7a0b\u5ea6\u3002\u5728\u672c\u6587\u4e2d\uff0c\u53ea\u7528\u4e86\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u6848\u4f8b\uff0c\u6807\u7b7e\u5e93\u4e2d\u53ea\u6709\u4e09\u4e2a\u6807\u7b7e\uff0c\u6ca1\u6709\u66f4\u6df1\u5165\u7684\u4f7f\u7528\u3002\u66f4\u591a\u53ef\u4ee5\u67e5\u770b\uff1ahttps:\/\/github.com\/openai\/CLIP<\/p>\n

    \u957f\u671f\u4e0d\u505a\u8fd9\u79cd\u5de5\u7a0b\u5de5\u4f5c\u8ba9\u6211\u5bf9linux\u5b89\u88c5\u8f6f\u4ef6\u8fc7\u7a0b\u751f\u758f\u4e0d\u5c11\uff0c\u611f\u8c22\u6d59\u5927\u6f58\u6ce2\u535a\u58eb\u5bf9\u5bb9\u5668\u542f\u7528GPU\u7684\u8bf4\u660e\uff0c\u548cchatGPT\u5bf9\u5b89\u88c5\u8fc7\u7a0b\u7ec6\u8282\u7684\u8bf4\u660e\uff0c\u8ba9\u6211\u53ef\u4ee5\u53ca\u65f6\u89e3\u51b3\u9047\u5230\u95ee\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u8fd1\u671f\u56e0\u4e3a\u8bba\u6587\u9879\u76ee\u7684\u539f\u56e0\uff0c\u9700\u8981\u90e8\u7f72\u4f7f\u7528cl<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-2592","post","type-post","status-publish","format-standard","hentry","category-ai-application"],"_links":{"self":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts\/2592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/comments?post=2592"}],"version-history":[{"count":2,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts\/2592\/revisions"}],"predecessor-version":[{"id":3090,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts\/2592\/revisions\/3090"}],"wp:attachment":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/media?parent=2592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/categories?post=2592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/tags?post=2592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}