{"id":36959,"date":"2025-05-13T01:04:03","date_gmt":"2025-05-12T17:04:03","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/36959.html"},"modified":"2025-05-13T01:04:03","modified_gmt":"2025-05-12T17:04:03","slug":"pytorch-%e7%89%88%e6%9c%ac%e3%80%81torchvision-%e7%89%88%e6%9c%ac%e5%92%8c-python-%e7%89%88%e6%9c%ac%e7%9a%84%e5%af%b9%e5%ba%94%e5%85%b3%e7%b3%bb","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/36959.html","title":{"rendered":"PyTorch \u7248\u672c\u3001torchvision \u7248\u672c\u548c Python \u7248\u672c\u7684\u5bf9\u5e94\u5173\u7cfb"},"content":{"rendered":"

PyTorch \u7248\u672c\u3001torchvision \u7248\u672c\u548c Python \u7248\u672c\u7684\u5bf9\u5e94\u5173\u7cfb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/h3>\n<\/p>\n

\u00a0\u00a0\u5728\u6df1\u5ea6\u5b66\u4e60\u9886\u57df，PyTorch \u53ca\u5176\u914d\u5957\u5e93 torchvision \u7684\u4f7f\u7528\u6781\u4e3a\u5e7f\u6cdb\u3002\u4f46\u4e0d\u540c\u7248\u672c\u7684 PyTorch\u3001torchvision \u4e0e Python \u4e4b\u95f4\u5b58\u5728\u4e25\u683c\u7684\u5bf9\u5e94\u5173\u7cfb，\u82e5\u7248\u672c\u642d\u914d\u4e0d\u5f53，\u4f1a\u5bfc\u81f4\u4ee3\u7801\u8fd0\u884c\u51fa\u9519\u3001\u529f\u80fd\u65e0\u6cd5\u5b9e\u73b0\u7b49\u95ee\u9898\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u68b3\u7406\u4e09\u8005\u7684\u5bf9\u5e94\u5173\u7cfb，\u5e76\u4ecb\u7ecd\u57fa\u4e8e conda \u7684\u5b89\u88c5\u65b9\u6cd5\u4e0e\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\u3002<\/p>\n

\u4e00\u3001\u7248\u672c\u5bf9\u5e94\u5173\u7cfb<\/h3>\n

\"\"<\/p>\n

\u9700\u8981\u6ce8\u610f\u7684\u662f，\u5b9e\u9645\u5e94\u7528\u4e2d\u5e94\u53c2\u8003 PyTorch \u5b98\u65b9\u6587\u6863\u83b7\u53d6\u6700\u65b0\u3001\u6700\u51c6\u786e\u7684\u7248\u672c\u5bf9\u5e94\u4fe1\u606f，\u56e0\u4e3a CUDA \u7248\u672c\u7b49\u56e0\u7d20\u4e5f\u4f1a\u5f71\u54cd\u7248\u672c\u517c\u5bb9\u6027\u3002<\/p>\n

\u4e8c\u3001\u57fa\u4e8e conda \u5b89\u88c5 PyTorch<\/h3>\n

conda \u662f\u5f3a\u5927\u7684\u5305\u7ba1\u7406\u5668\u548c\u73af\u5883\u7ba1\u7406\u5668，\u4f7f\u7528\u5b83\u5b89\u88c5 PyTorch\u3001\u7ba1\u7406 Python \u73af\u5883\u5341\u5206\u4fbf\u6377，\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b：<\/p>\n

（\u4e00）\u521b\u5efa\u5e76\u6fc0\u6d3b conda \u73af\u5883<\/h4>\n

conda create -n myenv python=3.8
\nconda activate myenv<\/p>\n

\u4e0a\u8ff0\u547d\u4ee4\u4e2d，conda create -n myenv python=3.8 \u7528\u4e8e\u521b\u5efa\u540d\u4e3a myenv ，Python \u7248\u672c\u4e3a 3.8 \u7684\u65b0\u73af\u5883；conda activate myenv \u5219\u53ef\u6fc0\u6d3b\u8be5\u73af\u5883\u3002<\/p>\n

（\u4e8c）\u5b89\u88c5\u6307\u5b9a\u7248\u672c PyTorch \u53ca\u76f8\u5173\u5e93<\/h4>\n

\u6839\u636e PyTorch \u5b98\u65b9\u6307\u4ee4\u5b89\u88c5\u76ee\u6807\u7248\u672c\u3002\u4ee5\u5b89\u88c5 PyTorch 1.9.1 \u7248\u672c\u4e3a\u4f8b：<\/p>\n

conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch<\/p>\n

\u8be5\u547d\u4ee4\u4f1a\u5b89\u88c5 PyTorch 1.9.1，\u540c\u65f6\u5b89\u88c5\u4e0e\u5176\u517c\u5bb9\u7684 torchvision（\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93）\u3001torchaudio（\u97f3\u9891\u5904\u7406\u5e93），cudatoolkit=10.2 \u7528\u4e8e\u6307\u5b9a CUDA \u5de5\u5177\u5305\u7248\u672c，-c pytorch \u8868\u793a\u4ece pytorch \u6e20\u9053\u83b7\u53d6\u5b89\u88c5\u5305\u3002<\/p>\n

\u4e09\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u89e3\u7b54<\/h3>\n

（\u4e00）\u95ee\u9898 1：\u5b89\u88c5 PyTorch \u540e\u8fd0\u884c\u51fa\u73b0\u7248\u672c\u4e0d\u517c\u5bb9\u9519\u8bef<\/h4>\n

\u89e3\u7b54：\u5148\u68c0\u67e5 PyTorch \u4e0e Python \u7248\u672c\u662f\u5426\u5339\u914d\u3002\u82e5\u4e0d\u5339\u914d，\u5378\u8f7d\u5f53\u524d\u7248\u672c，\u91cd\u65b0\u5b89\u88c5\u7b26\u5408\u5bf9\u5e94\u5173\u7cfb\u7684\u7248\u672c\u7ec4\u5408\u3002\u540c\u65f6，\u786e\u4fdd\u5176\u4ed6\u4f9d\u8d56\u5e93\u4e5f\u4e0e PyTorch \u7248\u672c\u517c\u5bb9\u3002<\/p>\n

（\u4e8c）\u95ee\u9898 2：\u60f3\u4f7f\u7528\u6700\u65b0 PyTorch \u7248\u672c，\u4f46\u9879\u76ee\u4f9d\u8d56\u65e7\u7248 Python<\/h4>\n

\u89e3\u7b54：\u5229\u7528 conda \u521b\u5efa\u591a\u4e2a\u73af\u5883，\u5728\u4e0d\u540c\u73af\u5883\u4e2d\u5206\u522b\u8bbe\u7f6e\u6240\u9700\u7684 Python \u548c PyTorch \u7248\u672c，\u5b9e\u73b0\u4e0d\u540c\u7248\u672c\u9879\u76ee\u72ec\u7acb\u8fd0\u884c，\u907f\u514d\u73af\u5883\u51b2\u7a81\u3002<\/p>\n

（\u4e09）\u95ee\u9898 3：\u5982\u4f55\u83b7\u53d6 PyTorch \u548c Python \u7248\u672c\u4fe1\u606f<\/h4>\n

\u89e3\u7b54：\u5728 Python \u89e3\u91ca\u5668\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801：<\/p>\n

import torch
\nprint(torch.__version__) # \u8f93\u51faPyTorch\u7248\u672c
\nimport sys
\nprint(sys.version) # \u8f93\u51faPython\u7248\u672c<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb532\u6b21\uff0c\u70b9\u8d5e4\u6b21\uff0c\u6536\u85cf10\u6b21\u3002PyTorch \u7248\u672c\u3001torchvision \u7248\u672c\u548c Python \u7248\u672c\u7684\u5bf9\u5e94\u5173\u7cfb_python \u7248\u672c\u548c\u5305\u5bf9\u5e94\u5173\u7cfb<\/p>\n","protected":false},"author":2,"featured_media":36958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,152,50,207,86,3194],"topic":[],"class_list":["post-36959","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-pytorch","tag-50","tag-207","tag-86","tag-3194"],"yoast_head":"\nPyTorch \u7248\u672c\u3001torchvision \u7248\u672c\u548c Python \u7248\u672c\u7684\u5bf9\u5e94\u5173\u7cfb - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/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.wsisp.com\/helps\/36959.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PyTorch \u7248\u672c\u3001torchvision \u7248\u672c\u548c Python \u7248\u672c\u7684\u5bf9\u5e94\u5173\u7cfb - 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