{"id":1133,"date":"2023-12-14T10:59:19","date_gmt":"2023-12-14T02:59:19","guid":{"rendered":"https:\/\/www.gaoxigang.com\/?p=1133"},"modified":"2023-12-14T10:59:19","modified_gmt":"2023-12-14T02:59:19","slug":"mac%e7%94%b5%e8%84%91intel%e8%8a%af%e7%89%87%e7%89%88%e6%9c%ac%e7%9a%84%e7%94%b5%e8%84%91%e5%ae%89%e8%a3%85sd%e7%9a%84%e6%97%b6%e5%80%99%e5%87%ba%e7%8e%b0torch-is-not-able-to-use-gpu","status":"publish","type":"post","link":"https:\/\/www.gaoxigang.com\/index.php\/2023\/12\/14\/mac%e7%94%b5%e8%84%91intel%e8%8a%af%e7%89%87%e7%89%88%e6%9c%ac%e7%9a%84%e7%94%b5%e8%84%91%e5%ae%89%e8%a3%85sd%e7%9a%84%e6%97%b6%e5%80%99%e5%87%ba%e7%8e%b0torch-is-not-able-to-use-gpu\/","title":{"rendered":"mac\u7535\u8111intel\u82af\u7247\u7248\u672c\u7684\u7535\u8111\u5b89\u88c5SD\u7684\u65f6\u5019\u51fa\u73b0Torch is not able to use GPU"},"content":{"rendered":"\n

\u5728\u5b89\u88c5Stable Diffusion<\/strong>\uff08SD\uff09\u65f6\u9047\u5230\u4e86Torch\u65e0\u6cd5\u4f7f\u7528GPU\u7684\u95ee\u9898\u3002\u8fd9\u4e2a\u95ee\u9898\u53ef\u80fd\u662f\u7531\u4e8eTorch\u65e0\u6cd5\u8bc6\u522b\u60a8\u7684GPU\u800c\u5f15\u8d77\u7684\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u53ef\u80fd\u7684\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n\n\n\n

    \n
  1. \u66f4\u65b0NVIDIA\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f<\/strong>\uff1a\u9996\u5148\uff0c\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u66f4\u65b0\u60a8\u7684NVIDIA\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f\u3002\u6709\u65f6\u5019\uff0c\u65e7\u7684\u6216\u4e0d\u517c\u5bb9\u7684\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f\u53ef\u80fd\u4f1a\u5bfc\u81f4Torch\u65e0\u6cd5\u6b63\u786e\u8bc6\u522bGPU\u3002<\/li>\n\n\n\n
  2. \u6dfb\u52a0–skip-torch-cuda-test\u53c2\u6570<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u5728\u5b89\u88c5SD\u65f6\u6dfb\u52a0–skip-torch-cuda-test\u53c2\u6570\uff0c\u4ee5\u4fbf\u7981\u7528Torch\u5bf9CUDA\u7684\u68c0\u67e5\u3002\u8fd9\u53ef\u80fd\u4f1a\u7ed5\u8fc7Torch\u5bf9GPU\u7684\u68c0\u6d4b\uff0c\u4f7f\u5176\u5728\u6ca1\u6709GPU\u652f\u6301\u7684\u60c5\u51b5\u4e0b\u7ee7\u7eed\u5de5\u4f5c\u3002<\/li>\n\n\n\n
  3. \u68c0\u67e5\u7cfb\u7edf\u73af\u5883<\/strong>\uff1a\u786e\u4fdd\u60a8\u7684\u7cfb\u7edf\u73af\u5883\u4e2d\u5df2\u6b63\u786e\u5b89\u88c5\u4e86CUDA\u548ccuDNN\u3002\u8fd9\u4e24\u4e2a\u8f6f\u4ef6\u5305\u5bf9\u4e8eTorch\u6b63\u786e\u8bc6\u522b\u548c\u4f7f\u7528GPU\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n
  4. \u68c0\u67e5GPU\u9a71\u52a8<\/strong>\uff1a\u786e\u4fdd\u60a8\u7684NVIDIA GPU\u9a71\u52a8\u7a0b\u5e8f\u5df2\u6b63\u786e\u5b89\u88c5\u5e76\u4e14\u4e0e\u60a8\u7684\u7cfb\u7edf\u517c\u5bb9\u3002<\/li>\n<\/ol>\n\n\n\n

    \u5982\u679c\u60a8\u5c1d\u8bd5\u4e86\u4e0a\u8ff0\u89e3\u51b3\u65b9\u6848\u4ecd\u7136\u65e0\u6cd5\u89e3\u51b3\u95ee\u9898\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u8fdb\u4e00\u6b65\u8c03\u67e5\u60a8\u7684\u7cfb\u7edf\u73af\u5883\u548cSD\u7684\u5b89\u88c5\u8fc7\u7a0b\uff0c\u4ee5\u786e\u5b9a\u95ee\u9898\u7684\u6839\u672c\u539f\u56e0\u3002<\/p>\n\n\n\n

    \u9644\u52a0\u77e5\u8bc6\uff1aTorch\u662f\u4ec0\u4e48\uff1f\u4e3a\u4ec0\u4e48\u5b83\u9700\u8981GPU\u652f\u6301\uff1f<\/em><\/strong><\/h2>\n\n\n\n

    Torch\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u63d0\u4f9b\u4e86\u5e7f\u6cdb\u7684\u5de5\u5177\u548c\u5e93\uff0c\u7528\u4e8e\u6784\u5efa\u548c\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002Torch\u6700\u521d\u662f\u7531Facebook\u5f00\u53d1\u7684\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7075\u6d3b\u7684\u5f20\u91cf\u5e93\u548c\u7528\u4e8e\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u7684\u4e30\u5bccAPI\u3002Torch\u7684\u8bbe\u8ba1\u4f7f\u5f97\u5b83\u80fd\u591f\u9ad8\u6548\u5730\u5229\u7528GPU\u8fdb\u884c\u8ba1\u7b97\uff0c\u8fd9\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u6765\u8bf4\u81f3\u5173\u91cd\u8981\u3002<\/p>\n\n\n\n

    GPU\u652f\u6301\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u901a\u5e38\u9700\u8981\u5927\u91cf\u7684\u8ba1\u7b97\u8d44\u6e90\u6765\u8fdb\u884c\u8bad\u7ec3\u548c\u63a8\u7406\u3002\u76f8\u6bd4\u4e8e\u4f20\u7edf\u7684\u4e2d\u592e\u5904\u7406\u5355\u5143\uff08CPU\uff09\uff0c\u56fe\u5f62\u5904\u7406\u5355\u5143\uff08GPU\uff09\u80fd\u591f\u5e76\u884c\u5904\u7406\u5927\u89c4\u6a21\u7684\u77e9\u9635\u8fd0\u7b97\uff0c\u8fd9\u4f7f\u5f97\u5b83\u4eec\u975e\u5e38\u9002\u5408\u7528\u4e8e\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

    \u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u8bad\u7ec3\u5927\u89c4\u6a21\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u901a\u5e38\u9700\u8981\u5927\u91cf\u7684\u77e9\u9635\u8fd0\u7b97\u548c\u5f20\u91cf\u64cd\u4f5c\u3002GPU\u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u4f7f\u5f97\u5b83\u4eec\u80fd\u591f\u66f4\u5feb\u5730\u6267\u884c\u8fd9\u4e9b\u8fd0\u7b97\uff0c\u4ece\u800c\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u8fc7\u7a0b\u3002\u56e0\u6b64\uff0cTorch\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u901a\u5e38\u4f1a\u4f9d\u8d56\u4e8eGPU\u6765\u63d0\u9ad8\u8ba1\u7b97\u6027\u80fd\uff0c\u4ee5\u4fbf\u66f4\u9ad8\u6548\u5730\u8bad\u7ec3\u548c\u90e8\u7f72\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n\n\n\n

    \u603b\u4e4b\uff0cGPU\u652f\u6301\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u6765\u8bf4\u81f3\u5173\u91cd\u8981\uff0c\u5b83\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u548c\u6027\u80fd\uff0c\u4f7f\u5f97\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u66f4\u52a0\u9ad8\u6548\u548c\u53ef\u884c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u5728\u5b89\u88c5Stable Diffusion\uff08SD\uff09\u65f6\u9047\u5230\u4e86Torch\u65e0\u6cd5\u4f7f\u7528GPU\u7684\u95ee\u9898\u3002\u8fd9\u4e2a\u95ee\u9898\u53ef\u80fd\u662f\u7531\u4e8eTor […]<\/p>\n","protected":false},"author":1,"featured_media":1134,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[236,235,234],"class_list":["post-1133","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-tutorial","tag-intel-torch","tag-mac-torch","tag-torch-is-not-able-to-use-gpu"],"_links":{"self":[{"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/posts\/1133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/comments?post=1133"}],"version-history":[{"count":1,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/posts\/1133\/revisions"}],"predecessor-version":[{"id":1135,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/posts\/1133\/revisions\/1135"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/media\/1134"}],"wp:attachment":[{"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/media?parent=1133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/categories?post=1133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gaoxigang.com\/index.php\/wp-json\/wp\/v2\/tags?post=1133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}