{"id":268524,"date":"2024-05-15T18:05:14","date_gmt":"2024-05-15T10:05:14","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/268524.html"},"modified":"2024-05-15T18:05:19","modified_gmt":"2024-05-15T10:05:19","slug":"rtx3060%e6%9c%89%e5%8a%9e%e6%b3%95%e7%94%a8gpu%e8%b7%91tensorflow-1-x%e7%9a%84%e4%bb%a3%e7%a0%81%e5%90%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/268524.html","title":{"rendered":"RTX3060\u6709\u529e\u6cd5\u7528GPU\u8dd1TensorFlow 1.x\u7684\u4ee3\u7801\u5417"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/27133741\/315e1759-4c0b-4771-bbb7-77a022f0b92e.webp\" alt=\"RTX3060\u6709\u529e\u6cd5\u7528GPU\u8dd1TensorFlow 1.x\u7684\u4ee3\u7801\u5417\" \/><\/p>\n<p><p>\u662f\u7684\uff0c<strong>RTX 3060\u53ef\u4ee5\u7528\u6765\u8fd0\u884cTensorFlow 1.x\u7684\u4ee3\u7801<\/strong>\u3002\u8981\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u9700\u8981\u4f7f\u7528\u4e0e\u786c\u4ef6\u517c\u5bb9\u7684\u8f6f\u4ef6\u9a71\u52a8\u7a0b\u5e8f\u548c\u5e93\u7248\u672c\u3001\u5b89\u88c5\u5408\u9002\u7248\u672c\u7684CUDA Toolkit\u4ee5\u53ca\u5bf9\u5e94\u7684cuDNN\u5e93\u3001\u5e76\u4e14\u53ef\u80fd\u9700\u8981\u5bf9TensorFlow\u4ee3\u7801\u8fdb\u884c\u5c11\u91cf\u4fee\u6539\uff0c\u4ee5\u9002\u914d\u65b0\u786c\u4ef6\u3002<\/p>\n<\/p>\n<p><p>\u8981\u6210\u529f\u5728RTX 3060\u4e0a\u8fd0\u884cTensorFlow 1.x\u7684\u4ee3\u7801\uff0c\u9996\u5148\u9700\u8981\u786e\u4fddTensorFlow\u7248\u672c\u4e0eCUDA Toolkit\u7248\u672c\u7684\u517c\u5bb9\u6027\u3002<strong>\u65e9\u671f\u7248\u672c\u7684TensorFlow 1.x\u53ef\u80fd\u4e0d\u652f\u6301\u65b0\u7684NVIDIA Ampere\u67b6\u6784<\/strong>\uff0c\u5305\u62ecRTX 3060\u3002\u56e0\u6b64\uff0c\u53ef\u80fd\u9700\u8981\u5347\u7ea7\u5230TensorFlow 1.15\u7248\u672c\uff0c\u8be5\u7248\u672c\u63d0\u4f9b\u4e86\u5bf9\u8f83\u65b0CUDA\u7248\u672c\u7684\u652f\u6301\u3002\u540c\u65f6\uff0c\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u7684\u662fTensorFlow GPU\u7248\u672c\u800c\u4e0d\u662f\u4ec5CPU\u7248\u672c\uff0c\u4ee5\u5229\u7528RTX 3060\u7684GPU\u52a0\u901f\u80fd\u529b\u3002\u6700\u540e\uff0c\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u7531\u4e8eTensorFlow 1.x\u5df2\u505c\u6b62\u7ef4\u62a4\uff0c\u5b98\u65b9\u53ef\u80fd\u4e0d\u518d\u63d0\u4f9b\u6280\u672f\u652f\u6301\u6216\u66f4\u65b0\uff0c\u56e0\u6b64\u5728\u9047\u5230\u517c\u5bb9\u6027\u95ee\u9898\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u81ea\u5df1\u89e3\u51b3\u6216\u5bfb\u6c42\u793e\u533a\u652f\u6301\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u9a71\u52a8\u7a0b\u5e8f\u548c\u786c\u4ef6\u517c\u5bb9\u6027<\/h3>\n<\/p>\n<p><p><strong>\u5b89\u88c5\u5408\u9002\u7248\u672c\u7684NVIDIA\u9a71\u52a8\u7a0b\u5e8f<\/strong>\u662f\u9996\u8981\u6b65\u9aa4\uff0c\u56e0\u4e3a\u9a71\u52a8\u7a0b\u5e8f\u652f\u6301\u663e\u5361\u548c\u8ba1\u7b97\u5e73\u53f0\u4e4b\u95f4\u7684\u4ea4\u4e92\u3002\u4e3aRTX 3060\u9009\u62e9\u5408\u9002\u7684\u9a71\u52a8\u7a0b\u5e8f\uff0c\u9700\u8981\u8bbf\u95eeNVIDIA\u5b98\u7f51\u5e76\u6839\u636e\u64cd\u4f5c\u7cfb\u7edf\u8fdb\u884c\u9009\u62e9\u3002<\/p>\n<\/p>\n<p><p>\u5728\u786e\u4fdd\u9a71\u52a8\u7a0b\u5e8f\u66f4\u65b0\u5230\u6700\u65b0\u7248\u672c\u540e\uff0c\u9700\u8981\u8003\u8651\u7684\u662f\u663e\u5361\u548cTensorFlow\u7248\u672c\u7684\u517c\u5bb9\u6027\u3002RTX 3060\u4f7f\u7528\u7684\u662fAmpere\u67b6\u6784\uff0c\u5c3d\u7ba1TensorFlow 1.x\u662f\u5728\u8fd9\u4e2a\u67b6\u6784\u4e4b\u524d\u53d1\u5e03\u7684\uff0c\u4f46\u5728TensorFlow 1.15\u7248\u672c\u540e\u505a\u4e86\u9002\u5f53\u652f\u6301\u66f4\u65b0\uff0c\u4f7f\u5f97\u80fd\u517c\u5bb9\u4e0e\u65b0\u7684NVIDIA\u786c\u4ef6\u5305\u62ecRTX 3060\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001CUDA Toolkit\u548ccuDNN\u5b89\u88c5<\/h3>\n<\/p>\n<p><p>CUDA Toolkit\u662f\u4e00\u7cfb\u5217\u5de5\u5177\uff0c\u5141\u8bb8\u5f00\u53d1\u4eba\u5458\u5229\u7528NVIDIA\u7684GPU\u6838\u5fc3\u8fdb\u884c\u9ad8\u6027\u80fd\u8ba1\u7b97\u3002<strong>TensorFlow 1.x\u5bf9CUDA Toolkit\u6709\u7279\u5b9a\u7248\u672c\u7684\u8981\u6c42<\/strong>\u3002\u901a\u5e38\uff0cTensorFlow 1.15\u9700\u8981CUDA 10.0\uff0c\u4f46\u5b9e\u9645\u517c\u5bb9\u6027\u53ef\u80fd\u4f1a\u66f4\u590d\u6742\uff0c\u9700\u8981\u5177\u4f53\u53c2\u8003TensorFlow\u53d1\u5e03\u7684\u5b98\u65b9\u6587\u6863\u3002<\/p>\n<\/p>\n<p><p>\u5b89\u88c5\u9002\u5f53\u7248\u672c\u7684CUDA Toolkit\u540e\uff0c\u63a5\u4e0b\u6765\u8fd8\u9700\u8981\u5b89\u88c5\u5bf9\u5e94\u7248\u672c\u7684cuDNN\u5e93\uff0c\u8fd9\u662fNVIDIA\u63d0\u4f9b\u7684\u9488\u5bf9\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u4f18\u5316\u7684\u5e93\u3002<strong>\u5b89\u88c5cuDNN\uff0c\u662f\u786e\u4fddRTX 3060\u80fd\u591f\u9ad8\u6548\u8fd0\u884cTensorFlow 1.x\u4ee3\u7801\u7684\u91cd\u8981\u6b65\u9aa4<\/strong>\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001TensorFlow GPU\u7248\u672c\u7684\u5b89\u88c5\u548c\u914d\u7f6e<\/h3>\n<\/p>\n<p><p>\u8981\u5728RTX 3060\u4e0a\u8fd0\u884cTensorFlow 1.x\u4ee3\u7801\uff0c<strong>\u9700\u8981\u9009\u62e9\u5b89\u88c5TensorFlow\u7684GPU\u652f\u6301\u7248\u672c<\/strong>\u3002\u8fd9\u901a\u5e38\u6d89\u53ca\u4f7f\u7528Python\u7684pip\u7ba1\u7406\u5668\u5b89\u88c5\u5e26\u6709GPU\u652f\u6301\u7684TensorFlow\u5305\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\"># \u4f8b\u5b50\uff1a\u5b89\u88c5TensorFlow 1.15 GPU\u7248\u672c<\/p>\n<p>pip install tensorflow-gpu==1.15<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8cTensorFlow GPU\u7248\u672c\u540e\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u7cfb\u7edf\u73af\u5883\u53d8\u91cf\u8fdb\u884c\u914d\u7f6e\uff0c\u786e\u4fddPython\u80fd\u591f\u627e\u5230CUDA Toolkit\u548ccuDNN\u5e93\u3002\u8fd9\u53ef\u80fd\u6d89\u53ca\u5c06CUDA\u548ccuDNN\u7684\u5b89\u88c5\u76ee\u5f55\u8def\u5f84\u6dfb\u52a0\u5230PATH\u73af\u5883\u53d8\u91cf\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4ee3\u7801\u517c\u5bb9\u6027\u8c03\u6574<\/h3>\n<\/p>\n<p><p>\u67d0\u4e9bTensorFlow 1.x\u7684API\u53ef\u80fd\u5728\u65b0\u786c\u4ef6\u4e0a\u51fa\u73b0\u95ee\u9898\u3002<strong>\u5c3d\u7ba1TensorFlow\u793e\u533a\u4e3aAPI\u5411\u540e\u517c\u5bb9\u6027\u505a\u51fa\u4e86\u5f88\u5927\u52aa\u529b<\/strong>\uff0c\u4f46\u8fd0\u884c\u73b0\u6709\u4ee3\u7801\u65f6\uff0c\u4ecd\u53ef\u80fd\u51fa\u73b0\u5982\u4e0d\u5339\u914d\u7684\u64cd\u4f5c\u7c7b\u578b\u9519\u8bef\u3002\u5f53\u9047\u5230\u8fd9\u4e9b\u95ee\u9898\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u6309\u7167\u9519\u8bef\u63d0\u793a\u5bf9\u4ee3\u7801\u8fdb\u884c\u9002\u7528\u8c03\u6574\uff0c\u6216\u67e5\u627e\u76f8\u5173\u6587\u6863\u548c\u793e\u533a\u8ba8\u8bba\u6c42\u52a9\u3002<\/p>\n<\/p>\n<p><p>\u5f53\u4ee3\u7801\u8c03\u6574\u5b8c\u6210\uff0c\u5e76\u4e14\u73af\u5883\u6b63\u786e\u914d\u7f6e\u540e\uff0cTensorFlow 1.x\u7684\u4ee3\u7801\u5e94\u8be5\u5c31\u53ef\u4ee5\u5728RTX 3060\u4e0a\u6b63\u5e38\u8fd0\u884c\u4e86\u3002\u5982\u679c\u6027\u80fd\u672a\u8fbe\u5230\u9884\u671f\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u8fdb\u4e00\u6b65\u4f18\u5316\uff0c\u4f8b\u5982\u8c03\u6574\u795e\u7ecf\u7f51\u7edc\u7684\u6279\u5927\u5c0f\u3001\u5b66\u4e60\u7387\u6216\u5176\u4ed6\u8d85\u53c2\u6570\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u6027\u80fd\u4f18\u5316<\/h3>\n<\/p>\n<p><p>\u5229\u7528RTX 3060\u8fd0\u884cTensorFlow\u4ee3\u7801\u65f6\uff0c<strong>\u6027\u80fd\u4f18\u5316\u662f\u81f3\u5173\u91cd\u8981\u7684\u4e00\u4e2a\u65b9\u9762<\/strong>\u3002\u4e00\u65b9\u9762\u53ef\u4ee5\u901a\u8fc7\u4f18\u5316\u6a21\u578b\u7ed3\u6784\u548c\u53c2\u6570\u6765\u5b9e\u73b0\uff0c\u5728\u4fdd\u6301\u7cbe\u5ea6\u7684\u540c\u65f6\u63d0\u5347\u8fd0\u7b97\u901f\u5ea6\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u9700\u8981\u901a\u8fc7\u6280\u672f\u624b\u6bb5\u786e\u4fddGPU\u8d44\u6e90\u5f97\u5230\u5145\u5206\u5229\u7528\uff0c\u4f8b\u5982\u5408\u7406\u8c03\u5ea6\u8ba1\u7b97\u4efb\u52a1\uff0c\u907f\u514d\u56e0\u4e3a\u6570\u636e\u4f20\u8f93\u7b49\u64cd\u4f5c\u5bfc\u81f4\u7684 GPU \u7b49\u5f85\u65f6\u95f4\u3002<\/p>\n<\/p>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u7efc\u4e0a\u6240\u8ff0\uff0cRTX 3060\u5b8c\u5168\u6709\u529e\u6cd5\u8fd0\u884cTensorFlow 1.x\u7684\u4ee3\u7801\uff0c\u53ea\u662f\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u989d\u5916\u7684\u6b65\u9aa4\u6765\u786e\u4fdd\u8f6f\u4ef6\u4e0e\u786c\u4ef6\u7684\u517c\u5bb9\u6027\u3002\u4ece\u5b89\u88c5\u9002\u5f53\u7248\u672c\u7684\u9a71\u52a8\u7a0b\u5e8f\u548cCUDA Toolkit\uff0c\u5230\u5bf9\u4ee3\u7801\u7684\u53ef\u80fd\u8c03\u6574\uff0c\u4ee5\u53ca\u4e0d\u65ad\u4f18\u5316\u6027\u80fd\uff0c\u8fd9\u4e00\u7cfb\u5217\u6b65\u9aa4\u80fd\u591f\u786e\u4fdd\u5f00\u53d1\u8005\u80fd\u591f\u66f4\u5927\u7a0b\u5ea6\u4e0a\u53d1\u6325RTX 3060 GPU\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684\u6f5c\u529b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528RTX3060\u6765\u8fd0\u884cTensorflow 1.x\u7684\u4ee3\u7801\u5417\uff1f<\/strong><br \/>\n\u662f\u7684\uff0cRTX3060\u662f\u4e00\u6b3e\u5f3a\u5927\u7684\u663e\u5361\uff0c\u53ef\u4ee5\u7528\u4e8e\u8fd0\u884cTensorflow 1.x\u7684\u4ee3\u7801\u3002Tensorflow\u662f\u4e00\u4e2a\u5f00\u6e90\u7684<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6846\u67b6\uff0c\u5b83\u53ef\u4ee5\u5229\u7528GPU\u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u6765\u52a0\u901f\u8bad\u7ec3\u8fc7\u7a0b\u3002RTX3060\u5177\u6709\u5148\u8fdb\u7684GPU\u67b6\u6784\u548c\u5927\u91cf\u7684CUDA\u6838\u5fc3\uff0c\u53ef\u4ee5\u63d0\u4f9b\u51fa\u8272\u7684\u8ba1\u7b97\u80fd\u529b\uff0c\u4ece\u800c\u52a0\u901fTensorflow\u7684\u8fd0\u884c\u901f\u5ea6\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728RTX3060\u4e0a\u914d\u7f6e\u548c\u5b89\u88c5Tensorflow 1.x\uff1f<\/strong><br \/>\n\u5728RTX3060\u4e0a\u914d\u7f6e\u548c\u5b89\u88c5Tensorflow 1.x\u5f88\u7b80\u5355\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5\u9002\u914d\u4e8eRTX3060\u7684NVIDIA\u9a71\u52a8\u7a0b\u5e8f\uff0c\u5e76\u786e\u4fdd\u9a71\u52a8\u7a0b\u5e8f\u5df2\u6b63\u786e\u5b89\u88c5\u548c\u542f\u7528\u3002\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5Tensorflow 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