{"id":382,"date":"2024-03-13T08:43:49","date_gmt":"2024-03-13T00:43:49","guid":{"rendered":"http:\/\/www.ccwifi.cc\/blogs\/?p=382"},"modified":"2024-03-13T15:52:28","modified_gmt":"2024-03-13T07:52:28","slug":"windows10%e4%b8%8b%e5%ae%89%e8%a3%85tensorflow-gpu%ef%bc%882-2","status":"publish","type":"post","link":"https:\/\/www.ccwifi.cc\/blogs\/2024\/03\/13\/windows10%e4%b8%8b%e5%ae%89%e8%a3%85tensorflow-gpu%ef%bc%882-2\/","title":{"rendered":"Windows10\u4e0b\u5b89\u88c5tensorflow-gpu\uff082.2"},"content":{"rendered":"
\n

\u5728\u7ebfwifi\u8dd1\u5305 \u91d1\u521a\u5305\u8dd1\u5305 cap\u8dd1\u5305 hccapx ewsa\u5728\u7ebf \u5c31\u6765 \u66f9\u64cdwifi<\/a><\/strong><\/p>\n

\u5404\u4f4d\u597d \u53c8\u89c1\u9762\u4e86 \u6211\u662f\u66f9\u64cd \u4eca\u5929\u7ed9\u5927\u5bb6\u5e26\u6765\u4e00\u7bc7\u65b0\u7684\u6559\u7a0b<\/p>\n

\u5e0c\u671b\u5404\u4f4d\u7ec6\u5fc3\u5b66\u4e60 \u4f4e\u8c03\u7528\u7f51<\/p>\n<\/div>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\u672c\u6587\u5b9e\u73b0\u4e86Windows10\u4e0bGPU\u7248\u672c\u7684tensorflow2.2.0\u7684\u5b89\u88c5\uff0c\u7528\u5230\u7684\u8f6f\u4ef6\u4e3b\u8981\u5305\u62ec\uff1aCUDA 10.2 + cuDNN + Anaconda + tensorflow-gpu 2.2.0\u3002\uff08\u6ce8\uff1a\u6b64\u6559\u7a0b\u5728Win7\u73af\u5883\u4e0b\u4e5f\u540c\u6837\u9002\u7528\uff01\u53e6\u9644\u62a5\u9519\u7f3a\u5c11cudart64_101.dll\u7684\u89e3\u51b3\u529e\u6cd5\uff01\uff09<\/p>\n

\u4e00\u3001\u4e0b\u8f7d\u548c\u5b89\u88c5CUDA<\/p>\n

\uff081\uff09\u67e5\u770b\u7535\u8111\u7684\u663e\u5361\u7c7b\u578b\u548c\u663e\u5361\u9a71\u52a8\u7248\u672c<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\uff082\uff09\u67e5\u8be2CUDA\u7248\u672c\u4e0e\u663e\u5361\u9a71\u52a8\u7248\u672c\u5bf9\u7167\u8868 \u7f51\u5740\uff1adocs.nvidia.com\/cuda\/cuda-toolkit-release-notes\/index.html#title-resolved-issues<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\uff083\uff09\uff08\u9009\u505a\uff09\u6839\u636e\u4e0a\u8868\uff0c\u82e5\u9700\u8981\u66f4\u65b0\u663e\u5361\u9a71\u52a8\uff0c\u53ef\u524d\u5f80NVIDIA\u9a71\u52a8\u7a0b\u5e8f\u4e0b\u8f7d \u7f51\u5740\uff1anvidia.cn\/Download\/index.aspx?lang=cn<\/p>\n

\uff084\uff09\u4e0b\u8f7d\u4f60\u60f3\u8981\u7684CUDA\u7248\u672c\uff0c\u6211\u5728\u8fd9\u91cc\u9009\u62e9\u4e8610.2\u7248\u672c \u7f51\u5740\uff1adeveloper.nvidia.com\/cuda-toolkit-archive<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\u6839\u636e\u81ea\u5df1\u7684\u7535\u8111\u9009\u62e9\u5bf9\u5e94\u7684\u7248\u672c\uff0c\u5207\u8bb0\u9009\u62e9\u672c\u5730\u5b89\u88c5exe(local)\uff0c\u70b9\u51fbDownload\u8fdb\u884c\u4e0b\u8f7d\u3002<\/p>\n

\uff085\uff09\u5b89\u88c5CUDA
\n1.\u5728\u4f60\u60f3\u8981\u5b89\u88c5\u7684\u76ee\u5f55\u4e0a\u521b\u5efa\u540d\u4e3aCUDA-temp\u548cCUDA\u7684\u6587\u4ef6\u5939\u3002
\n2.\u5c06\u4e34\u65f6\u89e3\u538b\u8def\u5f84\u8bbe\u7f6e\u4e3a\u521a\u521b\u5efa\u7684CUDA-temp\u6587\u4ef6\u5939\u7684\u8def\u5f84.<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

3.\u9009\u62e9\u81ea\u5b9a\u4e49\u5b89\u88c5
\n4.\u5728\u81ea\u5b9a\u4e49\u5b89\u88c5\u9009\u9879\u4e2d\u53ea\u9009\u62e9\u7ea2\u6846\u4e2d\u7684\u9009\u9879\uff0c\u5176\u5b83\u9009\u9879\u4e0d\u5fc5\u52fe\u9009
\n5.\u5c06\u5b89\u88c5\u4f4d\u7f6e\u4fee\u6539\u4e3aCUDA\u6587\u4ef6\u5939\u4e2d\u7684\u5bf9\u5e94\u4f4d\u7f6e\uff08\u4e5f\u53ef\u4fdd\u6301\u9ed8\u8ba4\u8bbe\u7f6e\uff09
\n6.\u5b89\u88c5\u5b8c\u6210<\/p>\n

\uff086\uff09\u914d\u7f6e\u73af\u5883\u53d8\u91cf
\n1.\u6309Win+R\u8f93\u5165control\u8fdb\u884c\u63a7\u5236\u9762\u677f\uff0c\u9009\u62e9\u7cfb\u7edf\u548c\u5b89\u5168\uff0c\u518d\u9009\u62e9\u7cfb\u7edf\uff0c\u4e4b\u540e\u70b9\u51fb\u9ad8\u7ea7\u7cfb\u7edf\u8bbe\u7f6e\uff0c\u70b9\u51fb\u73af\u5883\u53d8\u91cf.<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

2.\u5c06\u4e0b\u9762\u56db\u4e2a\u8def\u5f84\u52a0\u5165\u5230\u7cfb\u7edf\u53d8\u91cf\u7684Path\u4e2d\uff0c\u6ce8\u610f\u8981\u6362\u6210\u81ea\u5df1\u7684\u5b89\u88c5\u8def\u5f84\u3002
\nC:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.2
\nC:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.2bin
\nC:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.2libx64
\nC:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.2libnvvp<\/p>\n

\uff087\uff09\u68c0\u67e5CUDA\u662f\u5426\u5b89\u88c5\u6210\u529f
\n\u6309Win+R\u8f93\u5165cmd\uff0c\u5728\u63a7\u5236\u53f0\u8f93\u5165nvcc -V\uff0c\u8fd4\u56de\u4ee5\u4e0b\u4fe1\u606f\uff0c\u8bf4\u660eCUDA\u5b89\u88c5\u6210\u529f<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\u4e8c\u3001\u4e0b\u8f7d\u548c\u914d\u7f6ecuDNN
\n\u4e0b\u8f7d\u7f51\u5740\uff1adeveloper.nvidia.com\/rdp\/cudnn-archive<\/p>\n

\uff081\uff09\u9009\u62e9\u5bf9\u5e94CUDA\u7684cnDNN\u7684\u7248\u672c\uff08\u8fd9\u91cc\u6ca1\u6709\u5bf9\u5e9410.2\u7684\u7248\u672c\uff0c\u56e0\u4e3a\u9009\u62e9\u4e86\u5bf9\u5e9410.1\u7684\u7248\u672c\uff0c\u4e0d\u5f71\u54cd\u540e\u7eed\u5b89\u88c5\uff09<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\uff082\uff09\u4e0b\u8f7d\u524d\u9700\u8981\u6ce8\u518c\uff0c\u6ce8\u518c\u540e\u5373\u53ef\u8fdb\u884c\u4e0b\u8f7d
\n\uff083\uff09\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u5c06cuDNN\u89e3\u538b\u5230CUDA\u540c\u4e00\u4e2a\u6587\u4ef6\u5939\uff0c\u65b9\u4fbf\u540e\u7eed\u64cd\u4f5c
\n\uff084\uff09\u5c06cnDNN\u4e09\u4e2a\u6587\u4ef6\u5939\u4e0b\u7684\u6587\u4ef6\u5206\u522b\u590d\u5236\u5230CUDA\u5b89\u88c5\u76ee\u5f55\u4e0b\u7684\u5bf9\u5e94\u6587\u4ef6\u5939\u91cc\u5373\u53ef<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\u4e09\u3001\u521b\u5efaAnaconda\u865a\u62df\u73af\u5883
\n\u6253\u5f00Anaconda\u7684\u63a7\u5236\u53f0\uff08Anaconda\u7684\u5b89\u88c5\u548c\u4f7f\u7528\u5927\u5bb6\u53ef\u4ee5\u53c2\u8003\u5176\u5b83\u6559\u7a0b\uff0c\u5728\u8fd9\u91cc\u5c31\u4e0d\u8d58\u8ff0\u4e86\uff09\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u865a\u62df\u73af\u5883\u3002
\nconda create -n DL python=3.6<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\u56db\u3001\u5b89\u88c5tensorflow-gpu2.2.0
\n\uff081\uff09\u542f\u52a8\u521a\u521b\u5efa\u7684\u865a\u62df\u73af\u5883
\n\uff082\uff09\u5b89\u88c5tensorflow-gpu 2.2.0\uff08\u8fd9\u91cc\u4f7f\u7528\u6e05\u534e\u6e90\uff09
\npip install tensorflow-gpu -i pypi.tuna.tsinghua.edu.cn\/simple<\/p>\n

\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n

\uff083\uff09\u6dfb\u52a0\u7f3a\u5c11\u7684cudart64101.dll\u6587\u4ef6
\n\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u82e5\u76f4\u63a5\u8fd0\u884c\uff0c\u4f1a\u62a5\u9519\u7f3a\u5c11cudart64<\/em>101.dll\u3002
\n\u89e3\u51b3\u65b9\u6848\uff1a\u5c06\u7f3a\u5c11\u7684cudart64_101.dll\u6587\u4ef6\u590d\u5236\u5230CUDA\u5b89\u88c5\u7684NVIDIA GPU Computing ToolkitCUDAv10.2bin\u76ee\u5f55\u4e0b\u5373\u53ef\u3002
\n\uff08\u8fd9\u4e2adll\u53ef\u4ee5\u5728\u7f51\u4e0a\u627e\u5230\uff0c\u540c\u6837\u4e5f\u53ef\u4ee5\u79c1\u4fe1\u6211\uff01\uff09<\/p>\n

t<\/span> tensorflow<\/span> as<\/span> tf<\/span>\ntf<\/span>.<\/span>test<\/span>.<\/span>is_gpu_available<\/span>()<\/span>\ntf<\/span>.<\/span>config<\/span>.<\/span>list_physical_devices<\/span>(<\/span>'GPU'<\/span>)<\/span>\ntf<\/span>.<\/span>test<\/span>.<\/span>gpu_device_name<\/span>()<\/span><\/code><\/pre>\n
\"hashcat\u5982\u4f55\u5b89\u88c5\u663e\u5361\u9a71\u52a8\"<\/p>\n","protected":false},"excerpt":{"rendered":"
Windows10\u4e0b\u5b89\u88c5tensorflow-gpu\uff082.2\u672c\u6587\u5b9e\u73b0\u4e86Windows10\u4e0bGPU\u7248\u672c\u7684tensorflow2.2.0\u7684\u5b89\u88c5\uff0c\u7528\u5230\u7684\u8f6f\u4ef6\u4e3b\u8981\u5305\u62ec\uff1aCUDA 10.2 + cuDNN + Anaconda + tensorflow-gpu 2.2<\/p>\n","protected":false},"author":1,"featured_media":383,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"topic":[],"class_list":["post-382","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"_links":{"self":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts\/382","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/comments?post=382"}],"version-history":[{"count":1,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts\/382\/revisions"}],"predecessor-version":[{"id":421,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts\/382\/revisions\/421"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/media\/383"}],"wp:attachment":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/media?parent=382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/categories?post=382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/tags?post=382"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/topic?post=382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}