<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/tc/"},{"@type":"ListItem","position":2,"name":"伺服器當機後如何重新啟動 GPT-6 訓練","item":"https://www.simcentric.com/tc/hong-kong-dedicated-server-tc/how-to-restart-gpt-6-training-after-a-server-crash/"}]}</script> {"id":34578,"date":"2026-09-09T11:03:37","date_gmt":"2026-09-09T03:03:37","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/"},"modified":"2026-09-09T11:09:54","modified_gmt":"2026-09-09T03:09:54","slug":"how-to-restart-gpt-6-training-after-a-server-crash","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/","title":{"rendered":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4"},"content":{"rendered":"<p>\u4f60\u7684 GPT-6 \u8a13\u7df4\u4efb\u52d9\u5df2\u7d93\u5728 <a href=\"https:\/\/www.simcentric.com\/tc\/products\/dedicated-server-hk\/\" target=\"_blank\" rel=\"noopener\">AI \u8a13\u7df4\u53e2\u96c6<\/a>\u4e0a\u8dd1\u4e86 10 \u5929\uff0c\u537b\u7a81\u7136\u7576\u6a5f\u4e86\u3002\u87a2\u5e55\u7184\u6ec5\uff0c\u5fc3\u8df3\u52a0\u901f\u3002\u4e4b\u524d\u7684\u9032\u5ea6\u96e3\u9053\u5168\u6c92\u4e86\u55ce\uff1f\u60f3\u8981<a href=\"https:\/\/www.simcentric.com\/tc\/japan-dedicated-server-tc\/how-to-restore-normal-speed-after-throttling-on-japan-server\/\" target=\"_blank\" rel=\"noopener\">\u6062\u5fa9\u8a13\u7df4\u9032\u5ea6<\/a>\uff0c\u5fc5\u9808\u4e8b\u5148\u898f\u5283\u3002\u6c92\u6709\u4eba\u9858\u610f\u773c\u775c\u775c\u770b\u8457\u5e7e\u9031\u7684\u7b97\u529b\u6295\u5165\u4ed8\u8af8\u6d41\u6c34\uff0c\u4e5f\u6c92\u6709\u4eba\u9858\u610f\u9762\u5c0d\u6f2b\u9577\u505c\u6a5f\u5e36\u4f86\u7684\u58d3\u529b\u3002<\/p>\n<p>\u9019\u4efd\u5be6\u6230\u6307\u5357\u5c07\u63d0\u4f9b\u5207\u5be6\u53ef\u884c\u7684\u6b65\u9a5f\u3002\u9996\u5148\uff0c\u5f04\u6e05\u695a\u54ea\u4e9b\u72c0\u614b\u907a\u5931\u4e86\u3002\u7136\u5f8c\uff0c\u5132\u5b58\u4e26\u6062\u5fa9\u9019\u4e9b\u72c0\u614b\u4ee5\u7e7c\u7e8c\u8a13\u7df4\u3002\u63a5\u8457\uff0c\u8abf\u6574\u5b78\u7fd2\u7387\u3002\u6700\u5f8c\uff0c\u9a57\u8b49\u6062\u5fa9\u662f\u5426\u6210\u529f\u3002<\/p>\n<h2><strong>\u7406\u89e3\u88ab\u4e2d\u65b7\u7684\u8a13\u7df4\u5de5\u4f5c\u968e\u6bb5<\/strong><\/h2>\n<h3>AI \u8a13\u7df4\u53e2\u96c6\u6545\u969c\u7684\u5e38\u898b\u539f\u56e0<\/h3>\n<p>\u8a13\u7df4\u4efb\u52d9\u4e2d\u65b7\u7684\u539f\u56e0\u6709\u5f88\u591a\uff0c\u5176\u4e2d\u786c\u9ad4\u6545\u969c\u6700\u70ba\u5e38\u898b\u3002GPU \u53ef\u80fd\u56e0\u904e\u71b1\u800c\u81ea\u52d5\u95dc\u6a5f\uff0c\u8a18\u61b6\u9ad4\u6a21\u7d44\u53ef\u80fd\u51fa\u73fe\u932f\u8aa4\uff0c\u96fb\u6e90\u4e5f\u53ef\u80fd\u5728\u6beb\u7121\u9810\u8b66\u7684\u60c5\u6cc1\u4e0b\u5931\u6548\u3002\u8edf\u9ad4\u7f3a\u9677\u540c\u6a23\u6703\u5c0e\u81f4\u7576\u6a5f\u3002\u4e00\u500b\u7d30\u5fae\u7684\u7a0b\u5f0f\u78bc\u932f\u8aa4\uff0c\u53ef\u80fd\u5728\u57f7\u884c\u6578\u5929\u5f8c\u624d\u7834\u58de\u8a13\u7df4\u8ff4\u5708\u3002\u7db2\u8def\u554f\u984c\u4e5f\u53ef\u80fd\u8b93\u7bc0\u9ede\u8207\u53e2\u96c6\u5931\u53bb\u9023\u7dda\u3002\u7121\u8ad6\u662f\u54ea\u7a2e\u6545\u969c\uff0c\u7d50\u679c\u90fd\u4e00\u6a23\uff1a\u4f60\u7684\u8a13\u7df4\u4efb\u52d9\u6703\u5728\u4e2d\u9014\u505c\u6b62\u3002<\/p>\n<p>\u5176\u5f71\u97ff\u9060\u4e0d\u53ea\u4efb\u52d9\u505c\u6b62\u672c\u8eab\u3002\u4f60\u7684\u53e2\u96c6\u6703\u8655\u65bc\u9592\u7f6e\u72c0\u614b\uff0c\u5176\u4ed6\u4efb\u52d9\u5728\u4f47\u5217\u4e2d\u7b49\u5f85\uff0c\u5718\u968a\u7684\u6709\u6548\u5de5\u4f5c\u6642\u9593\u88ab\u6d6a\u8cbb\u3002\u9019\u6a23\u7684\u505c\u6a5f\u640d\u5931\u4e0d\u53ea\u662f\u7b97\u529b\u6210\u672c\uff0c\u66f4\u6703\u6253\u4e82\u7814\u7a76\u7bc0\u594f\uff0c\u62d6\u6162\u5c08\u6848\u9032\u5ea6\u3002\u7406\u89e3\u9019\u4e9b\u539f\u56e0\uff0c\u6709\u52a9\u65bc\u4f60\u70ba\u4e0d\u53ef\u907f\u514d\u7684\u4e2d\u65b7\u505a\u597d\u6e96\u5099\u3002\u4f60\u7121\u6cd5\u963b\u6b62\u6240\u6709\u6545\u969c\uff0c\u4f46\u4f60\u53ef\u4ee5\u638c\u63a7\u81ea\u5df1\u7684\u61c9\u5c0d\u65b9\u5f0f\u3002<\/p>\n<h3>\u8a13\u7df4\u505c\u6b62\u6642\u6703\u907a\u5931\u54ea\u4e9b\u72c0\u614b\uff1f<\/h3>\n<p>\u5f88\u591a\u5de5\u7a0b\u5e2b\u8aa4\u4ee5\u70ba\u53ea\u9700\u8981\u4fdd\u5b58\u6a21\u578b\u6b0a\u91cd\uff0c\u9019\u7a2e\u60f3\u6cd5\u5f80\u5f80\u6703\u5c0e\u81f4\u6062\u5fa9\u5931\u6557\u3002\u771f\u6b63\u7684\u7e8c\u8a13\uff0c\u8981\u6c42\u4f60\u6062\u5fa9\u5b8c\u6574\u7684\u8a13\u7df4\u72c0\u614b\u3002\u6a21\u578b\u53c3\u6578\u53ea\u662f\u5176\u4e2d\u4e00\u90e8\u5206\uff0c\u6700\u4f73\u5316\u5668\u72c0\u614b\u540c\u6a23\u81f3\u95dc\u91cd\u8981\u3002\u4ee5 Adam \u6700\u4f73\u5316\u5668\u70ba\u4f8b\uff0c\u5b83\u4fdd\u5b58\u4e86\u6bcf\u500b\u53c3\u6578\u5c0d\u61c9\u7684\u52d5\u91cf\u8207\u8b8a\u7570\u6578\u4f30\u8a08\u503c\u3002\u6c92\u6709\u9019\u4e9b\u503c\uff0c\u6700\u4f73\u5316\u5668\u7684\u884c\u70ba\u5c31\u6703\u50cf\u525b\u958b\u59cb\u8a13\u7df4\u4e00\u6a23\u3002\u5b78\u7fd2\u7387\u6392\u7a0b\u5668\u4e5f\u4fdd\u5b58\u4e86\u4f4d\u7f6e\u4fe1\u606f\uff0c\u5b83\u77e5\u9053\u76ee\u524d\u8a13\u7df4\u9032\u884c\u5230\u8870\u6e1b\u8a08\u756b\u7684\u54ea\u4e00\u6b65\u3002<\/p>\n<p>\u96a8\u6a5f\u6578\u7522\u751f\u5668\uff08RNG\uff09\u72c0\u614b\u540c\u6a23\u91cd\u8981\u3002\u8a13\u7df4\u904e\u7a0b\u4e2d\uff0c\u8cc7\u6599\u6253\u4e82\u8207\u8cc7\u6599\u589e\u5f37\u90fd\u4f9d\u8cf4\u96a8\u6a5f\u6027\u3002\u6bcf\u500b epoch \u7684\u8cc7\u6599\u9806\u5e8f\u90fd\u6703\u4e0d\u540c\uff0c\u5f71\u50cf\u8b8a\u63db\u6703\u96a8\u6a5f\u88c1\u5207\u8207\u7ffb\u8f49\u3002\u9019\u4e9b\u64cd\u4f5c\u90fd\u7531 RNG \u72c0\u614b\u6c7a\u5b9a\u3002\u5982\u679c\u4e0d\u6062\u5fa9\u5b83\uff0c\u8cc7\u6599\u7ba1\u7dda\u5c31\u6703\u7522\u751f\u4e0d\u540c\u7684\u6a23\u672c\u5e8f\u5217\u3002\u9019\u7a2e\u4e0d\u4e00\u81f4\u6703\u5e36\u4f86\u7d30\u5fae\u4f46\u771f\u5be6\u7684\u8a13\u7df4\u5dee\u7570\uff0c\u6a21\u578b\u7684\u6536\u6582\u8def\u5f91\u53ef\u80fd\u56e0\u6b64\u6539\u8b8a\uff0c\u9a57\u8b49\u7d50\u679c\u4e5f\u53ef\u80fd\u8207\u7576\u6a5f\u524d\u7684\u65e5\u8a8c\u4e0d\u518d\u4e00\u81f4\u3002<\/p>\n<p>\u4e00\u500b\u5b8c\u6574\u7684\u6aa2\u67e5\u9ede\u61c9\u7576\u540c\u6642\u4fdd\u5b58\u9019\u4e9b\u7d44\u6210\u90e8\u5206\uff1a\u6a21\u578b\u3001\u6700\u4f73\u5316\u5668\u3001\u6392\u7a0b\u5668\u4ee5\u53ca RNG \u72c0\u614b\u3002\u63a1\u7528\u9019\u7a2e\u5b8c\u6574\u4fdd\u5b58\u65b9\u5f0f\uff0c\u6062\u5fa9\u904e\u7a0b\u5c31\u6703\u7c21\u55ae\u5f97\u591a\u3002\u4f60\u53ef\u4ee5\u628a\u6240\u6709\u5167\u5bb9\u6062\u5fa9\u5230\u6545\u969c\u524d\u7684\u7cbe\u78ba\u72c0\u614b\uff0c\u8b93\u8a13\u7df4\u5f77\u5f7f\u5f9e\u672a\u4e2d\u65b7\u3002\u9019\u6a23\u7684\u6e96\u5099\uff0c\u80fd\u5920\u628a\u539f\u672c\u53ef\u80fd\u662f\u4e00\u5834\u707d\u96e3\u7684\u6545\u969c\uff0c\u8b8a\u6210\u4e00\u6b21\u5c0f\u5c0f\u7684\u4e0d\u4fbf\u3002\u4f60\u70ba\u5b8c\u5584\u6aa2\u67e5\u9ede\u6a5f\u5236\u6295\u5165\u7684\u6642\u9593\uff0c\u6703\u5728\u4eca\u5f8c\u7684\u6bcf\u4e00\u6b21\u6545\u969c\u4e2d\u7372\u5f97\u56de\u5831\u3002<\/p>\n<h2><strong>\u900f\u904e\u6aa2\u67e5\u9ede\u6062\u5fa9\u8a13\u7df4\u9032\u5ea6<\/strong><\/h2>\n<h3>\u4fdd\u5b58\u5b8c\u6574\u7684\u6a21\u578b\u8207\u6700\u4f73\u5316\u5668\u72c0\u614b<\/h3>\n<p>\u6aa2\u67e5\u9ede\u5fc5\u9808\u6355\u6349\u8a13\u7df4\u72c0\u614b\u4e2d\u7684\u6bcf\u4e00\u500b\u95dc\u9375\u90e8\u5206\u3002\u4f60\u4e0d\u80fd\u53ea\u4fdd\u5b58\u6a21\u578b\u6b0a\u91cd\u3002\u6700\u4f73\u5316\u5668\u4fdd\u5b58\u4e86\u6bcf\u500b\u53c3\u6578\u7684\u52d5\u91cf\u503c\uff0c\u6392\u7a0b\u5668\u8a18\u9304\u4e86\u81ea\u5df1\u5728\u5b78\u7fd2\u7387\u8870\u6e1b\u66f2\u7dda\u4e2d\u7684\u4f4d\u7f6e\uff0c\u96a8\u6a5f\u6578\u7522\u751f\u5668\u6c7a\u5b9a\u4e86\u8cc7\u6599\u6253\u4e82\u7684\u6a21\u5f0f\u3002\u6bcf\u4e00\u500b\u5143\u4ef6\uff0c\u90fd\u662f\u5e73\u9806\u6062\u5fa9\u8a13\u7df4\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u74b0\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u900f\u904e\u4e00\u689d\u547d\u4ee4\u5efa\u7acb\u4e00\u500b\u5b8c\u6574\u7684\u6aa2\u67e5\u9ede\u3002\u5b57\u5178\u7d50\u69cb\u80fd\u8b93\u6240\u6709\u5167\u5bb9\u4fdd\u6301\u6e05\u695a\u6709\u5e8f\u3002\u4fdd\u5b58\u76ee\u524d epoch \u7de8\u865f\uff0c\u4ee5\u4fbf\u77e5\u9053\u5f9e\u54ea\u88e1\u91cd\u65b0\u958b\u59cb\uff1b\u4fdd\u5b58\u6a21\u578b\u7684\u72c0\u614b\u5b57\u5178\uff0c\u4ee5\u9084\u539f\u7db2\u8def\u67b6\u69cb\u4e2d\u7684\u53c3\u6578\uff1b\u4fdd\u5b58\u6700\u4f73\u5316\u5668\u7684\u72c0\u614b\u5b57\u5178\uff0c\u4ee5\u4fdd\u7559\u5df2\u7d93\u7d2f\u7a4d\u7684\u68af\u5ea6\u8cc7\u8a0a\uff1b\u4fdd\u5b58\u6392\u7a0b\u5668\u72c0\u614b\uff0c\u4ee5\u5ef6\u7e8c\u65e2\u5b9a\u7684\u5b78\u7fd2\u7387\u8a08\u756b\uff1b\u8a18\u9304 RNG \u72c0\u614b\uff0c\u4ee5\u4fdd\u8b49\u8cc7\u6599\u7ba1\u7dda\u7684\u53ef\u91cd\u73fe\u6027\u3002\u9019\u500b\u5b8c\u6574\u5feb\u7167\uff0c\u80fd\u5728\u4efb\u4f55\u6545\u969c\u5f8c\u771f\u6b63\u5be6\u73fe\u8a13\u7df4\u9032\u5ea6\u7684\u6062\u5fa9\u3002<\/p>\n<pre><code>torch.save({\r\n    'epoch': epoch,\r\n    'model_state_dict': model.state_dict(),\r\n    'optimizer_state_dict': optimizer.state_dict(),\r\n    'scheduler_state_dict': scheduler.state_dict(),\r\n    'rng_state': torch.get_rng_state()\r\n}, 'checkpoint.pth')<\/code><\/pre>\n<p>\u96a8\u8457\u6a21\u578b\u898f\u6a21\u589e\u5927\uff0c\u9019\u500b\u6a94\u6848\u6703\u8fc5\u901f\u81a8\u8139\u3002\u4e00\u500b\u7c21\u55ae\u7d93\u9a57\u6cd5\u5247\u662f\uff1a\u82e5\u5305\u542b\u6700\u4f73\u5316\u5668\u72c0\u614b\uff0c\u6bcf\u500b\u53c3\u6578\u5927\u7d04\u9700\u8981 12 \u4f4d\u5143\u7d44\u3002\u6b0a\u91cd\u672c\u8eab\u5360 4 \u4f4d\u5143\u7d44\uff0c\u6700\u4f73\u5316\u5668\u72c0\u614b\u5360 8 \u4f4d\u5143\u7d44\u3002\u9019\u500b\u4f30\u7b97\u898f\u5f8b\u53ef\u4ee5\u5e6b\u52a9\u4f60\u5728\u8a13\u7df4\u958b\u59cb\u524d\u5c31\u898f\u5283\u597d\u5132\u5b58\u5bb9\u91cf\u3002<\/p>\n<h3>\u5132\u5b58\u6aa2\u67e5\u9ede\u4ee5\u5be6\u73fe\u5feb\u901f\u6062\u5fa9<\/h3>\n<p>\u4f60\u9078\u64c7\u7684\u5132\u5b58\u5a92\u4ecb\uff0c\u5c07\u76f4\u63a5\u6c7a\u5b9a\u6062\u5fa9\u6240\u9700\u6642\u9593\u3002\u50cf HDFS \u6216 S3 \u9019\u6a23\u7684\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u63d0\u4f9b\u66f4\u5f37\u7684\u6301\u4e45\u6027\uff0c\u800c\u672c\u6a5f NVMe \u5247\u63d0\u4f9b\u66f4\u9ad8\u7684\u901f\u5ea6\u3002\u5169\u8005\u5404\u6709\u7528\u9014\uff0c\u4e5f\u5f80\u5f80\u90fd\u9700\u8981\u3002\u6d3b\u8e8d\u8a13\u7df4\u904e\u7a0b\u901a\u5e38\u5beb\u5165\u5e73\u884c\u6a94\u6848\u7cfb\u7d71\uff0c\u9577\u671f\u5c01\u5b58\u5247\u8f49\u79fb\u5230\u7269\u4ef6\u5132\u5b58\u4e2d\uff0c\u5176\u6bcf TB \u6210\u672c\u901a\u5e38\u53ea\u6709\u524d\u8005\u7684\u5341\u5206\u4e4b\u4e00\u3002<\/p>\n<p>\u6aa2\u67e5\u9ede\u4fdd\u5b58\u9593\u9694\u9700\u8981\u4ed4\u7d30\u6b0a\u8861\u3002\u4fdd\u5b58\u904e\u65bc\u983b\u7e41\uff0c\u53ef\u4ee5\u6e1b\u5c11\u7576\u6a5f\u5f8c\u9700\u8981\u91cd\u7b97\u7684\u5de5\u4f5c\u91cf\uff1b\u4f46\u4fdd\u5b58\u904e\u65bc\u983b\u7e41\uff0c\u4e5f\u6703\u589e\u52a0\u5beb\u5165\u6642\u5c0d GPU \u8a13\u7df4\u7684\u963b\u585e\u3002\u4f60\u5fc5\u9808\u5728\u5169\u8005\u4e4b\u9593\u627e\u5230\u5e73\u8861\u3002\u6bcf 5 \u5206\u9418\u4fdd\u5b58\u4e00\u6b21\u901a\u5e38\u904e\u65bc\u6fc0\u9032\uff0c\u800c\u5c0d\u65bc\u6301\u7e8c\u6578\u5929\u3001\u6545\u969c\u4e26\u4e0d\u983b\u7e41\u7684\u8a13\u7df4\u4efb\u52d9\u4f86\u8aaa\uff0c\u6bcf\u5c0f\u6642\u4fdd\u5b58\u4e00\u6b21\u5f80\u5f80\u66f4\u5408\u9069\u3002<\/p>\n<blockquote><p>\u6aa2\u67e5\u9ede\u4fdd\u5b58\u9593\u9694\u61c9\u8207\u4efb\u52d9\u7684\u7576\u6a5f\u7387\uff08\u5e73\u5747\u4e2d\u65b7\u6642\u9593\uff09\u6210\u6bd4\u4f8b\uff0c\u800c\u9019\u500b\u4e2d\u65b7\u6642\u9593\u901a\u5e38\u6703\u96a8\u8457\u6240\u4f7f\u7528 GPU \u6578\u91cf\u7684\u589e\u52a0\u800c\u7e2e\u77ed\u3002<\/p><\/blockquote>\n<p>\u5927\u898f\u6a21\u8a13\u7df4\u4efb\u52d9\u5728\u5be6\u52d9\u4e2d\u901a\u5e38\u9075\u5faa\u9019\u4e00\u539f\u5247\u3002\u4e00\u500b 4050 \u5104\u53c3\u6578\u7684\u6a21\u578b\uff0c\u5982\u679c\u5e73\u5747 150 \u5206\u9418\u6703\u88ab\u4e2d\u65b7\u4e00\u6b21\uff0c\u5c31\u6703\u6bcf 15 \u5206\u9418\u4fdd\u5b58\u4e00\u6b21\u6aa2\u67e5\u9ede\uff1b\u4e00\u500b 8000 \u5104\u53c3\u6578\u7684\u6a21\u578b\uff0c\u5247\u53ef\u80fd\u6bcf 40 \u5206\u9418\u4fdd\u5b58\u4e00\u6b21\u3002\u901a\u5e38\u53ef\u5c07\u4fdd\u5b58\u9593\u9694\u8a2d\u70ba\u9810\u8a08\u6545\u969c\u9593\u9694\u7684\u5927\u7d04\u5341\u5206\u4e4b\u4e00\uff0c\u9019\u6a23\u65e2\u80fd\u6e1b\u5c11\u7b97\u529b\u6d6a\u8cbb\uff0c\u53c8\u4e0d\u6703\u5e36\u4f86\u904e\u9ad8\u984d\u5916\u958b\u92b7\u3002<\/p>\n<p>\u73fe\u4ee3\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u6bcf\u6b21\u5beb\u5165\u6aa2\u67e5\u9ede\u6642\uff0c\u5f80\u5f80\u9700\u8981\u5beb\u51fa 350\u2013500 GB \u7684\u6a21\u578b\u72c0\u614b\u3002\u70ba\u4e86\u76e1\u91cf\u6e1b\u5c11\u8a13\u7df4\u4e2d\u65b7\uff0c\u5beb\u5165\u904e\u7a0b\u5fc5\u9808\u5728 5 \u5206\u9418\u5167\u5b8c\u6210\u3002\u9019\u610f\u5473\u8457\u7cfb\u7d71\u9700\u8981\u63d0\u4f9b 1\u20132 GB\/s \u7684\u6301\u7e8c\u7a81\u767c\u5beb\u5165\u983b\u5bec\u3002\u56e0\u6b64\uff0c\u5132\u5b58\u67b6\u69cb\u5fc5\u9808\u512a\u5148\u8003\u91cf\u7a81\u767c\u6548\u80fd\uff0c\u800c\u4e0d\u50c5\u50c5\u662f\u9577\u671f\u541e\u5410\u80fd\u529b\u3002<\/p>\n<p>\u50cf TrainMover \u9019\u6a23\u7684\u7cfb\u7d71\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u4e86\u6062\u5fa9\u80fd\u529b\u3002\u66ff\u63db\u6a5f\u5668\u6703\u5728\u771f\u6b63\u767c\u751f\u6545\u969c\u524d\uff0c\u9810\u5148\u5b8c\u6210 CUDA \u6838\u5fc3\u7de8\u8b6f\u4e26\u5efa\u7acb NCCL \u901a\u8a0a\u7fa4\u7d44\u3002\u9019\u7a2e\u9810\u71b1\u6a5f\u5236\u628a\u6aa2\u67e5\u9ede\u8f09\u5165\u6392\u9664\u5728\u95dc\u9375\u6062\u5fa9\u8def\u5f91\u4e4b\u5916\u3002\u5176\u57fa\u65bc\u589e\u91cf\u66f4\u65b0\u7684\u8a2d\u8a08\uff0c\u53ea\u66f4\u65b0\u96e2\u958b\u7bc0\u9ede\u8207\u52a0\u5165\u7bc0\u9ede\u4e4b\u9593\u7684\u9023\u7dda\uff0c\u5176\u4ed6\u6240\u6709\u6a5f\u5668\u90fd\u7121\u9808\u4fee\u6539\u3002\u5373\u4f7f\u5728 1,024 \u5f35 GPU \u7684\u898f\u6a21\u4e0b\uff0c\u9019\u7a2e\u67b6\u69cb\u4e5f\u80fd\u5c07\u505c\u6a5f\u6642\u9593\u57fa\u672c\u7a69\u5b9a\u5728 20 \u79d2\u4ee5\u5167\u3002\u8207\u6b64\u540c\u6642\uff0c\u7531\u65bc\u6e96\u5099\u72c0\u614b\u4fdd\u5b58\u5728 CPU \u8a18\u61b6\u9ad4\u6216 NVMe \u4e2d\uff0c\u56e0\u6b64\u4e0d\u6703\u5360\u7528\u4efb\u4f55 GPU \u986f\u793a\u8a18\u61b6\u9ad4\uff0cGPU \u986f\u793a\u8a18\u61b6\u9ad4\u5728\u6700\u7d42\u5207\u63db\u524d\u59cb\u7d42\u4fdd\u6301\u4e0d\u8b8a\u3002<\/p>\n<p>\u975e\u540c\u6b65\u6aa2\u67e5\u9ede\u662f\u53e6\u4e00\u7a2e\u6709\u6548\u7684\u7de9\u89e3\u7b56\u7565\u3002\u4f60\u53ef\u4ee5\u5148\u5c07\u8cc7\u6599\u5f9e VRAM \u5378\u8f09\u5230\u4e3b\u6a5f\u8a18\u61b6\u9ad4\u4e2d\uff0c\u7136\u5f8c\u8b93 GPU \u6062\u5fa9\u8a13\u7df4\uff0c\u800c\u7531 CPU \u5728\u80cc\u666f\u8ca0\u8cac\u4fdd\u5b58\u3002\u5c0d 85,000 \u6b21\u6aa2\u67e5\u9ede\u7684\u5206\u6790\u986f\u793a\uff0c\u9019\u7a2e\u65b9\u5f0f\u53ef\u4ee5\u5c07\u5168\u57df\u983b\u5bec\u63a7\u5236\u5728 1 TB\/s \u4ee5\u4e0b\uff0c\u800c\u672c\u6a5f\u5378\u8f09\u901f\u5ea6\u53ef\u9054\u5230 50\u2013200 GB\/s\u3002\u9019\u6a23\u5c31\u80fd\u907f\u514d\u4fdd\u5b58\u904e\u7a0b\u4e2d GPU \u9577\u6642\u9593\u505c\u9813\u3002<\/p>\n<p>\u5c0d\u65bc\u5927\u898f\u6a21\u8a13\u7df4\u800c\u8a00\uff0c\u6aa2\u67e5\u9ede\u671f\u9593 GPU \u9592\u7f6e\u5e36\u4f86\u7684\u6210\u672c\u6bcf\u5929\u53ef\u80fd\u8d85\u904e 4,000 \u7f8e\u5143\u3002\u6700\u4f73\u5316\u505c\u6a5f\u6642\u9593\uff0c\u5be6\u969b\u4e0a\u5c31\u662f\u5728\u76f4\u63a5\u964d\u4f4e\u6210\u672c\u3002\u4f60\u6bcf\u6e1b\u5c11\u4e00\u79d2\u6062\u5fa9\u6642\u9593\uff0c\u6574\u500b\u53e2\u96c6\u90fd\u6703\u96a8\u4e4b\u7bc0\u7701\u958b\u652f\u3002\u56e0\u6b64\uff0c\u6aa2\u67e5\u9ede\u7b56\u7565\u61c9\u7576\u8207\u6a21\u578b\u67b6\u69cb\u540c\u7b49\u91cd\u8996\u3002\u4f60\u5728\u7a69\u5065\u4fdd\u5b58\u6a5f\u5236\u4e0a\u6295\u5165\u7684\u7cbe\u529b\uff0c\u6703\u5728\u4e4b\u5f8c\u7684\u6bcf\u4e00\u6b21\u6545\u969c\u4e2d\u6301\u7e8c\u5e36\u4f86\u56de\u5831\u3002<\/p>\n<h2><strong>\u6062\u5fa9 AI \u8a13\u7df4\u53e2\u96c6\u72c0\u614b<\/strong><\/h2>\n<h3>\u8f09\u5165\u6aa2\u67e5\u9ede\u4e26\u7e7c\u7e8c\u8a13\u7df4\u8ff4\u5708<\/h3>\n<p>\u6062\u5fa9\u5de5\u4f5c\u7684\u8d77\u9ede\uff0c\u662f\u4e00\u6b21\u7c21\u55ae\u7684\u8f09\u5165\u64cd\u4f5c\u3002\u4f60\u628a\u4e4b\u524d\u4fdd\u5b58\u7684\u6aa2\u67e5\u9ede\u6a94\u6848\u91cd\u65b0\u8b80\u5165\u8a18\u61b6\u9ad4\uff0c\u9019\u4e00\u52d5\u4f5c\u6703\u6062\u5fa9\u4f60\u5148\u524d\u4fdd\u5b58\u7684\u6bcf\u4e00\u500b\u5143\u4ef6\u3002\u6a21\u578b\u6b0a\u91cd\u56de\u5230\u6545\u969c\u524d\u7684\u6578\u503c\uff0c\u6700\u4f73\u5316\u5668\u91cd\u65b0\u7372\u5f97\u5b83\u7684\u52d5\u91cf\u4f30\u8a08\uff0c\u6392\u7a0b\u5668\u6062\u5fa9\u5230\u5b78\u7fd2\u7387\u8870\u6e1b\u66f2\u7dda\u4e2d\u7684\u539f\u6709\u4f4d\u7f6e\u3002\u6574\u500b\u8a13\u7df4\u74b0\u5883\u6703\u56de\u5230\u7576\u6a5f\u524d\u7684\u7cbe\u78ba\u72c0\u614b\u3002<\/p>\n<pre><code>checkpoint = torch.load('checkpoint.pth')\r\nmodel.load_state_dict(checkpoint['model_state_dict'])\r\noptimizer.load_state_dict(checkpoint['optimizer_state_dict'])\r\nscheduler.load_state_dict(checkpoint['scheduler_state_dict'])\r\nstart_epoch = checkpoint['epoch'] + 1<\/code><\/pre>\n<p>\u5176\u4e2d\u6700\u95dc\u9375\u7684\u7d30\u7bc0\u5728\u6700\u5f8c\u4e00\u884c\uff1a\u4f60\u5fc5\u9808\u5f9e\u5df2\u4fdd\u5b58 epoch \u7684\u4e0b\u4e00\u500b epoch \u958b\u59cb\uff0c\u800c\u4e0d\u662f\u5f9e\u96f6\u91cd\u65b0\u958b\u59cb\u3002\u8a13\u7df4\u8ff4\u5708\u4e5f\u9700\u8981\u76f8\u61c9\u8abf\u6574\uff0c\u4ee5\u4fbf\u9075\u5faa\u9019\u500b\u8d77\u9ede\u3002\u53ea\u9700\u4fee\u6539\u8ff4\u5708\u7bc4\u570d\uff0c\u4f7f\u5176\u5f9e\u6062\u5fa9\u5f8c\u7684 epoch \u958b\u59cb\uff0c\u5c31\u80fd\u907f\u514d\u91cd\u8907\u8a08\u7b97\u5df2\u5b8c\u6210\u7684\u8f2a\u6b21\u3002\u4f60\u7684\u4efb\u52d9\u5c07\u5f9e\u4e2d\u65b7\u8655\u7cbe\u78ba\u7e8c\u4e0a\uff0c\u4fdd\u7559\u6b64\u524d\u6240\u6709\u9032\u5ea6\u3002<\/p>\n<pre><code>for epoch in range(start_epoch, total_epochs):\r\n    train_one_epoch(model, train_loader, optimizer, scheduler)\r\n    validate(model, val_loader)\r\n    save_checkpoint(model, optimizer, scheduler, epoch)<\/code><\/pre>\n<p>\u50cf fastai \u9019\u6a23\u7684\u6846\u67b6\uff0c\u9084\u80fd\u628a\u9019\u500b\u904e\u7a0b\u9032\u4e00\u6b65\u7c21\u5316\u3002<code>fit_one_cycle<\/code> \u51fd\u5f0f\u6703\u5957\u7528\u5faa\u74b0\u5f0f\u5b78\u7fd2\u7387\u8207\u52d5\u91cf\u7b56\u7565\u3002\u5982\u679c\u4e2d\u65b7\u5f8c\u8655\u7406\u4e0d\u7576\uff0c\u6574\u500b\u5faa\u74b0\u6703\u5f9e\u982d\u958b\u59cb\uff0c\u5c0e\u81f4\u7d50\u679c\u8207\u672a\u4e2d\u65b7\u8a13\u7df4\u4e0d\u540c\u3002fastai \u900f\u904e <code>start_epoch<\/code> \u53c3\u6578\u89e3\u6c7a\u4e86\u9019\u500b\u554f\u984c\u3002\u4f60\u53ea\u9700\u91cd\u65b0\u5be6\u4f8b\u5316 learner\uff0c\u4e26\u7528\u4e0b\u4e00\u500b epoch \u7de8\u865f\u547c\u53eb <code>fit_one_cycle<\/code>\u3002\u6846\u67b6\u6703\u81ea\u52d5\u8f09\u5165\u6b64\u524d\u70ba\u8a72 epoch \u4fdd\u5b58\u7684\u6a94\u6848\uff0c\u7121\u9808\u624b\u52d5\u91cd\u65b0\u8f09\u5165\u6b0a\u91cd\u3002\u9019\u6a23\uff0c\u5b78\u7fd2\u7387\u548c\u52d5\u91cf\u5faa\u74b0\u5c31\u80fd\u5f9e\u6e96\u78ba\u4f4d\u7f6e\u7e7c\u7e8c\u57f7\u884c\uff0c\u8a13\u7df4\u7b56\u7565\u5f97\u4ee5\u7121\u7e2b\u5ef6\u7e8c\u3002<\/p>\n<h3>\u91cd\u65b0\u5efa\u7acb\u8cc7\u6599\u8f09\u5165\u5668\u8207\u96a8\u6a5f\u7a2e\u5b50<\/h3>\n<p>\u5982\u679c\u8cc7\u6599\u7ba1\u7dda\u4e0d\u80fd\u4e00\u81f4\uff0c\u50c5\u50c5\u6062\u5fa9\u6a21\u578b\u4e5f\u6c92\u6709\u610f\u7fa9\u3002\u96a8\u6a5f\u6578\u7522\u751f\u5668\u72c0\u614b\u6c7a\u5b9a\u4e86\u8cc7\u6599\u8f09\u5165\u5668\u5982\u4f55\u6253\u4e82\u6a23\u672c\u9806\u5e8f\u3002\u6bcf\u500b epoch \u90fd\u6703\u7522\u751f\u4e0d\u540c\u7684\u9806\u5e8f\uff0c\u800c\u5f71\u50cf\u589e\u5f37\u4e2d\u7684\u5404\u7a2e\u96a8\u6a5f\u8b8a\u63db\u4e5f\u90fd\u4f9d\u8cf4 RNG \u72c0\u614b\u3002<\/p>\n<p>\u6062\u5fa9\u9019\u500b\u72c0\u614b\u5176\u5be6\u5f88\u7c21\u55ae\u3002\u53ea\u9700\u628a\u4e4b\u524d\u4fdd\u5b58\u7684 RNG \u503c\u91cd\u65b0\u50b3\u7d66 PyTorch\uff0c\u8cc7\u6599\u8f09\u5165\u5668\u5c31\u6703\u7522\u751f\u8207\u672a\u7576\u6a5f\u6642\u5b8c\u5168\u76f8\u540c\u7684\u6a23\u672c\u5e8f\u5217\u3002\u9019\u7a2e\u53ef\u91cd\u73fe\u6027\u5c0d\u65bc\u9a57\u8b49\u4e00\u81f4\u6027\u975e\u5e38\u91cd\u8981\u3002\u4f60\u7684\u640d\u5931\u66f2\u7dda\u80fd\u5920\u5728\u4e2d\u65b7\u524d\u5f8c\u4fdd\u6301\u53ef\u6bd4\uff0c\u68af\u5ea6\u6a21\u5f0f\u4e5f\u6703\u66f4\u52a0\u7a69\u5b9a\u53ef\u9810\u6e2c\u3002<\/p>\n<pre><code>torch.set_rng_state(checkpoint['rng_state'])<\/code><\/pre>\n<p>\u4f60\u9084\u5fc5\u9808\u6062\u5fa9\u5404\u500b worker \u5c08\u5c6c\u7684\u96a8\u6a5f\u7a2e\u5b50\u3002\u8cc7\u6599\u8f09\u5165\u5668\u901a\u5e38\u6703\u555f\u7528\u591a\u500b worker \u884c\u7a0b\uff0c\u800c\u6bcf\u500b worker \u90fd\u7dad\u8b77\u8457\u81ea\u5df1\u7684\u96a8\u6a5f\u72c0\u614b\u3002\u4f60\u9700\u8981\u5728\u91cd\u65b0\u5efa\u7acb\u8cc7\u6599\u8f09\u5165\u5668\u5be6\u4f8b\u4e4b\u524d\uff0c\u5148\u8a2d\u5b9a\u9019\u4e9b\u7a2e\u5b50\u3002\u9019\u6a23\u624d\u80fd\u78ba\u4fdd\u6bcf\u500b worker \u90fd\u91cd\u73fe\u51fa\u539f\u672c\u7684\u8cc7\u6599\u6253\u4e82\u6a21\u5f0f\u3002\u81f3\u6b64\uff0c\u4f60\u7684\u8a13\u7df4\u74b0\u5883\u624d\u7b97\u771f\u6b63\u56de\u5230\u4e86\u6545\u969c\u524d\u7684\u72c0\u614b\u3002<\/p>\n<p>\u6700\u5f8c\u7684\u9a57\u8b49\u6b65\u9a5f\uff0c\u7528\u65bc\u78ba\u8a8d\u6062\u5fa9\u662f\u5426\u771f\u7684\u6210\u529f\u3002\u5148\u8dd1\u5e7e\u500b batch\uff0c\u4e26\u628a\u640d\u5931\u503c\u8207\u7576\u6a5f\u524d\u7684\u65e5\u8a8c\u9032\u884c\u6bd4\u5c0d\u3002\u5169\u8005\u61c9\u7576\u5927\u81f4\u63a5\u8fd1\uff0c\u68af\u5ea6\u7bc4\u6578\u4e5f\u61c9\u843d\u5728\u5408\u7406\u7bc4\u570d\u5167\u3002\u5982\u679c\u504f\u5dee\u660e\u986f\uff0c\u5c31\u8868\u793a\u6062\u5fa9\u904e\u7a0b\u5b58\u5728\u554f\u984c\u3002\u53ca\u65e9\u767c\u73fe\u9019\u4e9b\u932f\u8aa4\uff0c\u80fd\u907f\u514d\u4f60\u5728\u640d\u58de\u72c0\u614b\u4e0b\u7e7c\u7e8c\u6d6a\u8cbb\u6578\u5c0f\u6642\u8a08\u7b97\u8cc7\u6e90\u3002<\/p>\n<p>\u4f60\u7684\u6aa2\u67e5\u9ede\u8f09\u5165\u7b56\u7565\uff0c\u4e5f\u6703\u76f4\u63a5\u5f71\u97ff\u6062\u5fa9\u6642\u9593\u3002\u4e00\u500b\u7d50\u69cb\u6e05\u6670\u3001\u7d44\u7e54\u826f\u597d\u7684\u6aa2\u67e5\u9ede\uff0c\u80fd\u8b93\u4f60\u8fc5\u901f\u5b9a\u4f4d\u5230\u6b63\u78ba\u6a94\u6848\uff0c\u4e26\u9806\u5229\u5b8c\u6210\u8f09\u5165\uff0c\u7121\u9808\u8907\u96dc\u89e3\u6790\u3002\u9019\u6a23\uff0c\u4f60\u7684\u4efb\u52d9\u901a\u5e38\u53ef\u4ee5\u5728\u5e7e\u5206\u9418\u5167\u6062\u5fa9\u5230\u5b8c\u6574\u57f7\u884c\u72c0\u614b\u3002\u9ad8\u6548\u7387\u7684\u6062\u5fa9\u6a5f\u5236\uff0c\u6703\u628a\u4e00\u5834\u672c\u53ef\u80fd\u5f88\u56b4\u91cd\u7684\u6545\u969c\uff0c\u8b8a\u6210\u4e00\u6b21\u77ed\u66ab\u7684\u66ab\u505c\uff0c\u8b93\u8a13\u7df4\u4ee5\u6700\u5c11\u505c\u6a5f\u3001\u6700\u5927\u628a\u63e1\u7e7c\u7e8c\u63a8\u9032\u3002<\/p>\n<h2><strong>\u8abf\u6574\u5b78\u7fd2\u7387\u4ee5\u7e7c\u7e8c\u8a13\u7df4<\/strong><\/h2>\n<p>\u5b78\u7fd2\u7387\u6392\u7a0b\u5668\u4fdd\u5b58\u8457\u8a13\u7df4\u9032\u5c55\u4e2d\u7684\u95dc\u9375\u8cc7\u8a0a\u3002\u5b83\u8a18\u9304\u4e86\u76ee\u524d\u5728\u8870\u6e1b\u5e8f\u5217\u4e2d\u7684\u4f4d\u7f6e\u3002\u50c5\u6062\u5fa9\u6a21\u578b\u548c\u6700\u4f73\u5316\u5668\uff0c\u4e26\u4e0d\u8868\u793a\u6062\u5fa9\u5de5\u4f5c\u5df2\u7d93\u5b8c\u6210\uff0c\u6392\u7a0b\u5668\u72c0\u614b\u540c\u6a23\u5fc5\u9808\u56de\u5230\u7576\u6a5f\u524d\u7684\u4f4d\u7f6e\u3002\u5982\u679c\u4f60\u65b0\u5efa\u4e00\u500b\u6392\u7a0b\u5668\uff0c\u6574\u500b\u5b78\u7fd2\u7387\u8a08\u756b\u5c31\u6703\u88ab\u6253\u4e82\uff0c\u56e0\u70ba\u6a21\u578b\u6b64\u6642\u672c\u61c9\u4f7f\u7528\u5f8c\u671f\u66f4\u4f4e\u7684\u5b78\u7fd2\u7387\u3002<\/p>\n<h3>\u8a08\u7b97\u6b63\u78ba\u7684 step \u548c epoch<\/h3>\n<p>\u6392\u7a0b\u5668\u901a\u5e38\u6839\u64da step \u6216 epoch \u4f86\u6c7a\u5b9a\u76ee\u524d\u61c9\u4f7f\u7528\u7684\u5b78\u7fd2\u7387\u3002\u4f60\u5fc5\u9808\u77e5\u9053\u7576\u6a5f\u767c\u751f\u6642\u6240\u8655\u7684\u7cbe\u78ba\u4f4d\u7f6e\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u516c\u5f0f\uff1a<code>current_step = epoch * len(train_loader) + batch_index<\/code>\u3002\u9019\u500b\u8a08\u7b97\u7d50\u679c\u7d66\u51fa\u4e86\u4f60\u5728\u5b78\u7fd2\u7387\u8a08\u756b\u4e2d\u7684\u7cbe\u78ba step \u7de8\u865f\u3002\u7136\u5f8c\uff0c\u5c07 <code>last_epoch<\/code> \u53c3\u6578\u8a2d\u5b9a\u70ba\u9019\u500b step \u503c\uff0c\u6392\u7a0b\u5668\u5c31\u80fd\u5f9e\u90a3\u500b\u6e96\u78ba\u4f4d\u7f6e\u7e7c\u7e8c\u904b\u4f5c\u3002\u5b78\u7fd2\u7387\u66f2\u7dda\u5c07\u8de8\u8d8a\u4e2d\u65b7\u9ede\u4fdd\u6301\u5e73\u6ed1\uff0c\u6a21\u578b\u5728\u5f8c\u7e8c\u6bcf\u4e00\u6b65\u90fd\u80fd\u7372\u5f97\u6b63\u78ba\u7684\u5b78\u7fd2\u7387\u3002\u9019\u7a2e\u505a\u6cd5\u53ef\u78ba\u4fdd\u6062\u5fa9\u904e\u7a0b\u4e0d\u6703\u7834\u58de\u539f\u672c\u7684\u8a13\u7df4\u7bc0\u594f\u3002<\/p>\n<p>\u5c0d\u65bc\u591a\u9031\u671f\u6392\u7a0b\u7b56\u7565\u4f86\u8aaa\uff0cepoch \u7de8\u865f\u540c\u6a23\u91cd\u8981\u3002\u9918\u5f26\u9000\u706b\uff08cosine annealing\uff09\u548c one-cycle \u7b56\u7565\u90fd\u4f9d\u8cf4\u65bc\u5b8c\u6574\u9031\u671f\u9577\u5ea6\u3002\u4f60\u7684\u6aa2\u67e5\u9ede\u4e2d\u4fdd\u5b58\u4e86\u6700\u5f8c\u4e00\u500b\u5df2\u5b8c\u6210\u7684 epoch\uff0c\u53ea\u9700\u5728\u6b64\u57fa\u790e\u4e0a\u52a0\u4e00\uff0c\u518d\u50b3\u5165\u6392\u7a0b\u5668\u5efa\u69cb\u51fd\u5f0f\uff0c\u6392\u7a0b\u5668\u5c31\u80fd\u6b63\u78ba\u8a08\u7b97\u5269\u9918\u8870\u6e1b\u904e\u7a0b\u3002\u9019\u4e00\u6b65\u80fd\u8b93\u6062\u5fa9\u904e\u7a0b\u907f\u514d\u6191\u611f\u89ba\u731c\u6e2c\u3002<\/p>\n<h3>\u91cd\u65b0\u521d\u59cb\u5316\u6392\u7a0b\u5668\u4ee5\u4fdd\u6301\u9023\u7e8c\u6027<\/h3>\n<p>\u8a13\u7df4\u7576\u6a5f\u5f8c\uff0c\u4e0d\u8981\u65b0\u5efa\u4e00\u500b\u5168\u65b0\u7684\u6392\u7a0b\u5668\u3002\u65b0\u7684\u6392\u7a0b\u5668\u6703\u628a\u5b78\u7fd2\u7387\u91cd\u8a2d\u70ba\u521d\u59cb\u503c\uff0c\u800c\u6b64\u6642\u6a21\u578b\u901a\u5e38\u5df2\u7d93\u9032\u5165\u8a13\u7df4\u5f8c\u671f\uff0c\u7406\u61c9\u4f7f\u7528\u66f4\u4f4e\u5b78\u7fd2\u7387\u3002\u7a81\u7136\u56de\u5230\u8f03\u9ad8\u5b78\u7fd2\u7387\uff0c\u53ef\u80fd\u5c0e\u81f4\u68af\u5ea6\u4e0d\u7a69\u5b9a\u3001\u640d\u5931\u66b4\u6f32\uff0c\u751a\u81f3\u6b0a\u91cd\u767c\u6563\u3002\u9019\u6a23\u7684\u932f\u8aa4\uff0c\u6703\u8b93\u4f60\u4e4b\u524d\u7684\u6062\u5fa9\u52aa\u529b\u524d\u529f\u76e1\u68c4\uff0c\u751a\u81f3\u8feb\u4f7f\u4f60\u518d\u6b21\u91cd\u65b0\u555f\u52d5\u8a13\u7df4\u3002<\/p>\n<blockquote><p>\u5982\u679c\u5728\u7576\u6a5f\u5f8c\u91cd\u65b0\u5efa\u7acb\u4e00\u500b\u65b0\u7684\u6392\u7a0b\u5668\uff0c\u4f60\u7684\u5b78\u7fd2\u7387\u8a08\u756b\u5c31\u6703\u5f9e\u982d\u958b\u59cb\u3002\u9019\u500b\u7a81\u589e\u53ef\u80fd\u8b93\u6a21\u578b\u4e0d\u7a69\u5b9a\uff0c\u4e26\u62b5\u92b7\u6578\u5c0f\u6642\u7684\u8a13\u7df4\u6210\u679c\u3002\u6b63\u78ba\u505a\u6cd5\u59cb\u7d42\u662f\u6062\u5fa9\u5df2\u4fdd\u5b58\u7684\u6392\u7a0b\u5668\u72c0\u614b\u3002<\/p><\/blockquote>\n<p>\u6b63\u78ba\u65b9\u5f0f\u662f\u5148\u5efa\u7acb\u6392\u7a0b\u5668\uff0c\u518d\u8f09\u5165\u5176\u4fdd\u5b58\u7684\u72c0\u614b\u3002<code>scheduler.load_state_dict()<\/code> \u65b9\u6cd5\u6703\u6062\u5fa9\u6392\u7a0b\u5668\u5167\u90e8\u6240\u6709\u53c3\u6578\uff0c\u8b93\u5b83\u56de\u5230\u539f\u672c\u7684 step \u8a08\u6578\u4f4d\u7f6e\u3002\u9019\u6a23\uff0c\u5b78\u7fd2\u7387\u5c31\u80fd\u6cbf\u8457\u65e2\u5b9a\u8ecc\u8de1\u7e7c\u7e8c\u524d\u9032\uff0c\u5f77\u5f7f\u6545\u969c\u5f9e\u672a\u767c\u751f\u3002\u6574\u500b\u8a13\u7df4\u904e\u7a0b\u5c07\u7121\u7e2b\u929c\u63a5\uff0c\u4e0d\u932f\u904e\u4efb\u4f55\u4e00\u6b65\u3002<\/p>\n<p>\u59a5\u5584\u6062\u5fa9\u6392\u7a0b\u5668\uff0c\u53ef\u4ee5\u5fb9\u5e95\u898f\u907f\u4e0a\u8ff0\u98a8\u96aa\u3002\u4f60\u7684\u8a13\u7df4\u52d5\u614b\u5f97\u4ee5\u5ef6\u7e8c\uff0c\u9a57\u8b49\u6307\u6a19\u4e5f\u4fdd\u6301\u53ef\u6bd4\u3002\u61c9\u7576\u628a\u9019\u7a2e\u505a\u6cd5\u5957\u7528\u5230\u6bcf\u4e00\u500b\u6aa2\u67e5\u9ede\u4e2d\u3002\u4fdd\u5b58\u6392\u7a0b\u5668\u72c0\u614b\u5e7e\u4e4e\u4e0d\u9700\u8981\u984d\u5916\u6210\u672c\uff0c\u800c\u5ffd\u7565\u5b83\u7684\u4ee3\u50f9\u537b\u53ef\u80fd\u975e\u5e38\u9ad8\u6602\u3002\u6b63\u662f\u9019\u7a2e\u5c0d\u7d30\u7bc0\u7684\u91cd\u8996\uff0c\u624d\u80fd\u628a\u4e00\u6b21\u7576\u6a5f\u5f9e\u91cd\u5927\u632b\u6298\uff0c\u8b8a\u6210\u77ed\u66ab\u66ab\u505c\u3002<\/p>\n<h2><strong>\u9a57\u8b49\u6062\u5fa9\u662f\u5426\u6210\u529f<\/strong><\/h2>\n<h3>\u5c0d\u640d\u5931\u8207\u68af\u5ea6\u9032\u884c\u5408\u7406\u6027\u6aa2\u67e5<\/h3>\n<p>\u5728\u6062\u5fa9\u6aa2\u67e5\u9ede\u4e4b\u5f8c\uff0c\u5148\u57f7\u884c\u5c11\u91cf batch\u3002\u628a\u6b64\u6642\u7684\u640d\u5931\u503c\u8207\u7576\u6a5f\u524d\u65e5\u8a8c\u4e2d\u7684\u6578\u503c\u9032\u884c\u6bd4\u8f03\u3002\u640d\u5931\u61c9\u8207\u8a72 epoch \u6700\u5f8c\u8a18\u9304\u7684\u503c\u5927\u81f4\u63a5\u8fd1\u3002\u5982\u679c\u5339\u914d\u826f\u597d\uff0c\u5c31\u8868\u793a\u8a13\u7df4\u72c0\u614b\u6062\u5fa9\u6b63\u78ba\uff1b\u5982\u679c\u51fa\u73fe\u660e\u986f\u8df3\u8b8a\uff0c\u5247\u610f\u5473\u8457\u6aa2\u67e5\u9ede\u8f09\u5165\u6d41\u7a0b\u5b58\u5728\u554f\u984c\u3002<\/p>\n<p>\u4f60\u9084\u9700\u8981\u6aa2\u67e5\u68af\u5ea6\u7bc4\u6578\u3002\u9019\u4e9b\u6578\u503c\u8861\u91cf\u7684\u662f\u6b0a\u91cd\u66f4\u65b0\u7684\u5e45\u5ea6\u3002\u628a\u5b83\u5011\u8207\u7576\u6a5f\u524d\u7684\u65e5\u8a8c\u9032\u884c\u5c0d\u7167\uff0c\u82e5\u7d50\u679c\u76f8\u8fd1\uff0c\u901a\u5e38\u8868\u793a\u6062\u5fa9\u6210\u529f\uff1b\u82e5\u5dee\u7570\u660e\u986f\uff0c\u5247\u8868\u793a\u67d0\u8655\u51fa\u4e86\u554f\u984c\u3002\u4f8b\u5982\uff0c\u6392\u7a0b\u5668\u72c0\u614b\u53ef\u80fd\u6c92\u6709\u6b63\u78ba\u6062\u5fa9\uff0c\u6216\u8005\u96a8\u6a5f\u6578\u7522\u751f\u5668\u8207\u539f\u59cb\u74b0\u5883\u4e0d\u4e00\u81f4\u3002\u9019\u4e9b\u7d30\u5fae\u7684\u4e0d\u5339\u914d\uff0c\u90fd\u6703\u5c0e\u81f4\u8a13\u7df4\u7d50\u679c\u4e0d\u7a69\u5b9a\u3002<\/p>\n<p>\u5982\u679c\u640d\u5931\u503c\u6216\u68af\u5ea6\u6578\u503c\u51fa\u73fe\u5927\u5e45\u8df3\u8b8a\uff0c\u5c31\u8868\u793a\u6062\u5fa9\u904e\u7a0b\u51fa\u73fe\u4e86\u932f\u8aa4\u3002\u6aa2\u67e5\u9ede\u6a94\u6848\u53ef\u80fd\u5df2\u640d\u58de\uff0c\u4e5f\u53ef\u80fd\u5167\u5bb9\u4e0d\u5b8c\u6574\u3002\u9019\u7a2e\u5feb\u901f\u6aa2\u67e5\u80fd\u5e6b\u52a9\u4f60\u53ca\u65e9\u767c\u73fe\u554f\u984c\uff0c\u907f\u514d\u5728\u932f\u8aa4\u72c0\u614b\u4e0b\u7e7c\u7e8c\u8a13\u7df4\u6578\u5c0f\u6642\uff0c\u5f9e\u800c\u7bc0\u7701\u5bf6\u8cb4\u7b97\u529b\u3002<\/p>\n<p>\u5efa\u8b70\u63a1\u7528\u5c0d\u7167\u5f0f\u9a57\u8b49\u65b9\u6cd5\u3002\u63d0\u524d\u8a18\u9304\u7576\u6a5f\u524d\u67d0\u4e00\u6b65\u7684\u640d\u5931\u503c\u8207\u68af\u5ea6\u7bc4\u6578\uff0c\u6062\u5fa9\u5f8c\u4f7f\u7528\u76f8\u540c\u6578\u91cf\u7684 batch \u91cd\u65b0\u8dd1\u4e00\u904d\uff0c\u518d\u8a18\u9304\u65b0\u7684\u7d50\u679c\uff0c\u4e26\u9032\u884c\u9010\u9805\u5c0d\u6bd4\u3002\u5169\u7d44\u6578\u503c\u61c9\u7576\u9ad8\u5ea6\u63a5\u8fd1\u3002\u6574\u500b\u904e\u7a0b\u53ea\u9700\u8981\u5e7e\u5206\u9418\uff0c\u537b\u80fd\u5728\u5f8c\u9762\u7bc0\u7701\u5927\u91cf\u6642\u9593\u3002<\/p>\n<h3>\u76e3\u63a7\u6062\u5fa9\u521d\u671f\u662f\u5426\u51fa\u73fe\u767c\u6563<\/h3>\n<p>\u6062\u5fa9\u5f8c\u7684\u6700\u521d\u5e7e\u500b step\uff0c\u5f80\u5f80\u6700\u80fd\u8aaa\u660e\u554f\u984c\u3002\u7406\u60f3\u60c5\u6cc1\u4e0b\uff0c\u8a13\u7df4\u61c9\u7576\u548c\u4e2d\u65b7\u524d\u5b8c\u5168\u4e00\u81f4\u5730\u7e7c\u7e8c\u9032\u884c\uff0c\u640d\u5931\u66f2\u7dda\u4fdd\u6301\u539f\u6709\u4e0b\u964d\u8da8\u52e2\uff0c\u68af\u5ea6\u6a21\u5f0f\u4e5f\u61c9\u7dad\u6301\u7a69\u5b9a\u3002<\/p>\n<p>\u4f60\u9700\u8981\u7279\u5225\u7559\u610f\u4e00\u4e9b\u8b66\u544a\u8a0a\u865f\u3002\u6bd4\u5982\u68af\u5ea6\u7206\u70b8\uff0c\u6703\u8868\u73fe\u70ba\u53c3\u6578\u66f4\u65b0\u7a81\u7136\u7570\u5e38\u589e\u5927\uff1bNaN \u503c\u5247\u610f\u5473\u8457\u51fa\u73fe\u4e86\u6578\u503c\u4e0d\u7a69\u5b9a\u3002\u9019\u5169\u7a2e\u60c5\u6cc1\u901a\u5e38\u90fd\u6e90\u65bc\u6062\u5fa9\u932f\u8aa4\u3002\u5982\u679c\u4e0d\u53ca\u6642\u8655\u7406\uff0c\u8a13\u7df4\u4e0d\u6703\u81ea\u884c\u56de\u5230\u6b63\u5e38\u72c0\u614b\uff0c\u53cd\u800c\u6703\u7e7c\u7e8c\u6d6a\u8cbb\u8cc7\u6e90\u3002\u56e0\u6b64\uff0c\u5fc5\u9808\u53ca\u65e9\u767c\u73fe\u3002<\/p>\n<p>\u5982\u679c\u89c0\u5bdf\u5230\u767c\u6563\u73fe\u8c61\uff0c\u61c9\u7acb\u5373\u505c\u6b62\u4efb\u52d9\uff0c\u4e0d\u8981\u62b1\u8457\u50e5\u5016\u5fc3\u7406\u7e7c\u7e8c\u57f7\u884c\u3002\u8acb\u6aa2\u67e5\u6aa2\u67e5\u9ede\u6a94\u6848\u662f\u5426\u5b8c\u6574\uff0c\u78ba\u8a8d\u5404\u500b\u5143\u4ef6\u662f\u5426\u90fd\u5df2\u6b63\u78ba\u8f09\u5165\uff0c\u4e26\u6838\u5c0d RNG \u72c0\u614b\u662f\u5426\u8207\u539f\u59cb\u74b0\u5883\u4e00\u81f4\u3002<\/p>\n<p>\u4e00\u6b21\u4e7e\u6de8\u3001\u6b63\u78ba\u7684\u6062\u5fa9\uff0c\u4e0d\u6703\u51fa\u73fe\u767c\u6563\u3002\u640d\u5931\u66f2\u7dda\u6703\u5728\u5404\u500b epoch \u4e4b\u9593\u5e73\u6ed1\u5ef6\u7e8c\uff0c\u68af\u5ea6\u7bc4\u6578\u4fdd\u6301\u7a69\u5b9a\u53ef\u9810\u6e2c\uff0c\u5b78\u7fd2\u904e\u7a0b\u7e7c\u7e8c\u6b63\u5e38\u63a8\u9032\u3002\u9019\u8868\u793a\u4f60\u5df2\u6210\u529f\u5f9e\u6545\u969c\u4e2d\u6062\u5fa9\uff0c\u4efb\u52d9\u80fd\u5920\u6309\u8a08\u756b\u7e7c\u7e8c\u57f7\u884c\uff0c\u505c\u6a5f\u968e\u6bb5\u6b63\u5f0f\u7d50\u675f\uff0c\u8a13\u7df4\u9032\u5ea6\u4e5f\u5f97\u4ee5\u5ef6\u7e8c\u3002<\/p>\n<p>\u81f3\u6b64\uff0c\u6574\u500b\u9a57\u8b49\u6d41\u7a0b\u5b8c\u6210\u3002\u6b64\u5f8c\uff0c\u4f60\u5c31\u53ef\u4ee5\u5c0d\u6a21\u578b\u5f8c\u7e8c\u7d50\u679c\u4fdd\u6301\u8db3\u5920\u4fe1\u5fc3\u3002<\/p>\n<div class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: #d1d1d1;\"><\/div>\n<\/div>\n<p>\u73fe\u5728\uff0c\u4f60\u5df2\u7d93\u7406\u89e3\u4e86\u5b8c\u6574\u7684\u6062\u5fa9\u6d41\u7a0b\uff1a\u4fdd\u5b58\u5168\u90e8\u72c0\u614b\u2014\u2014\u6a21\u578b\u3001\u6700\u4f73\u5316\u5668\u3001\u6392\u7a0b\u5668\u548c RNG\uff1b\u5be6\u65bd\u7a69\u5065\u4e14\u9593\u9694\u5408\u7406\u7684\u6aa2\u67e5\u9ede\u6a5f\u5236\uff1b\u7cbe\u78ba\u6062\u5fa9\u8a13\u7df4\u74b0\u5883\uff1b\u6b63\u78ba\u5ef6\u7e8c\u5b78\u7fd2\u7387\u8a08\u756b\u3002\u9019\u4e9b\u6b65\u9a5f\uff0c\u80fd\u5920\u628a\u4f3a\u670d\u5668\u6545\u969c\u5f9e\u707d\u96e3\u6027\u4e8b\u4ef6\uff0c\u8b8a\u6210\u53ef\u63a7\u7684\u77ed\u66ab\u4e2d\u65b7\u3002<\/p>\n<p>\u53ea\u8981\u6e96\u5099\u5145\u5206\uff0c\u4f60\u7684\u8a13\u7df4\u4efb\u52d9\u5c31\u80fd\u5728\u7576\u6a5f\u5f8c\u7e7c\u7e8c\u5b58\u6d3b\u3002\u524d\u671f\u5728\u6aa2\u67e5\u9ede\u6a5f\u5236\u4e0a\u7684\u6295\u5165\uff0c\u6703\u5728\u672a\u4f86\u7bc0\u7701\u7121\u6578\u5c0f\u6642\u3002\u6062\u5fa9\u6642\u9593\u5c07\u5f9e\u6578\u5929\u7e2e\u77ed\u5230\u5e7e\u5206\u9418\u3002\u4f60\u7684\u8a13\u7df4\u6703\u5f9e\u4e2d\u65b7\u8655\u6e96\u78ba\u63a5\u7e8c\uff0c\u4e0d\u6d6a\u8cbb\u7b97\u529b\uff0c\u4e5f\u4e0d\u907a\u5931\u9032\u5ea6\u3002<\/p>\n<p>\u4f60\u4fdd\u5b58\u4e0b\u7684\u6bcf\u4e00\u500b epoch\uff0c\u90fd\u662f\u5c0d\u505c\u6a5f\u98a8\u96aa\u7684\u4fdd\u96aa\uff1b\u4f60\u505a\u51fa\u7684\u6bcf\u4e00\u6b21\u5b78\u7fd2\u7387\u4fee\u6b63\uff0c\u90fd\u662f\u5c0d\u8a13\u7df4\u7a69\u5b9a\u6027\u7684\u4fdd\u969c\uff1b\u4f60\u5beb\u4e0b\u7684\u6bcf\u4e00\u500b\u6aa2\u67e5\u9ede\uff0c\u90fd\u662f\u5c0d\u6a21\u578b\u8ecc\u8de1\u7684\u5b88\u8b77\u3002<\/p>\n<p>\u6709\u4e86\u9019\u4efd\u6307\u5357\uff0c\u4f60\u5c31\u80fd\u66f4\u5f9e\u5bb9\u5730\u9762\u5c0d\u4e0b\u4e00\u6b21\u4f3a\u670d\u5668\u6545\u969c\uff0c\u56e0\u70ba\u4f60\u77e5\u9053\u8a13\u7df4\u9032\u5ea6\u662f\u5b89\u5168\u7684\uff0c\u63a5\u4e0b\u4f86\u7684\u9053\u8def\u4e5f\u662f\u6e05\u6670\u7684\u3002\u8acb\u5728\u4e0b\u4e00\u6b21\u7576\u6a5f\u767c\u751f\u4e4b\u524d\uff0c\u5c31\u628a\u9019\u4e9b\u5be6\u52d9\u505a\u6cd5\u843d\u5be6\u5230\u4f4d\uff0c\u800c\u4e0d\u662f\u4e8b\u5f8c\u88dc\u6551\u3002<\/p>\n<h2><strong>\u5e38\u898b\u554f\u984c<\/strong><\/h2>\n<h3>\u8a13\u7df4\u904e\u7a0b\u4e2d\u61c9\u591a\u4e45\u4fdd\u5b58\u4e00\u6b21\u6aa2\u67e5\u9ede\uff1f<\/h3>\n<p>\u4f60\u61c9\u6839\u64da\u9810\u671f\u7576\u6a5f\u7387\u4f86\u8a2d\u5b9a\u6aa2\u67e5\u9ede\u9593\u9694\u3002\u6bd4\u5982\u4e00\u500b\u4efb\u52d9\u5e73\u5747\u6bcf 150 \u5206\u9418\u4e2d\u65b7\u4e00\u6b21\uff0c\u90a3\u9ebc\u6bcf 15 \u5206\u9418\u4fdd\u5b58\u4e00\u6b21\u6703\u6bd4\u8f03\u5408\u7406\u3002\u9019\u7a2e\u505a\u6cd5\u65e2\u80fd\u6e1b\u5c11\u91cd\u7b97\u640d\u5931\uff0c\u4e5f\u4e0d\u6703\u5e36\u4f86\u904e\u591a\u984d\u5916\u958b\u92b7\u3002\u6700\u7d42\u53ef\u884c\u7684\u9593\u9694\uff0c\u9084\u53d6\u6c7a\u65bc\u4f60\u7684\u5132\u5b58\u5beb\u5165\u901f\u5ea6\u3002<\/p>\n<h3>\u5982\u679c\u6211\u53ea\u4fdd\u5b58\u6a21\u578b\u6b0a\u91cd\uff0c\u6703\u767c\u751f\u4ec0\u9ebc\uff1f<\/h3>\n<p>\u4f60\u6703\u907a\u5931\u95dc\u9375\u7684\u6700\u4f73\u5316\u5668\u72c0\u614b\uff0c\u5305\u62ec Adam \u7684\u52d5\u91cf\u503c\uff1b\u5b78\u7fd2\u7387\u6392\u7a0b\u5668\u6703\u91cd\u8a2d\u5230\u521d\u59cb\u968e\u6bb5\uff1b\u96a8\u6a5f\u6578\u7522\u751f\u5668\u6703\u7522\u751f\u4e0d\u540c\u7684\u8cc7\u6599\u6253\u4e82\u9806\u5e8f\u3002\u9019\u4e9b\u7f3a\u5931\u90fd\u6703\u5c0e\u81f4\u8a13\u7df4\u7d50\u679c\u4e0d\u4e00\u81f4\u3002\u56e0\u6b64\uff0c\u82e5\u60f3\u5be6\u73fe\u771f\u6b63\u7684\u6062\u5fa9\uff0c\u5fc5\u9808\u59cb\u7d42\u4fdd\u5b58\u5b8c\u6574\u7684\u72c0\u614b\u5b57\u5178\u3002<\/p>\n<h3>\u6211\u53ef\u4ee5\u5728\u4e0d\u540c\u6578\u91cf\u7684 GPU \u4e0a\u6062\u5fa9\u8a13\u7df4\u55ce\uff1f<\/h3>\n<p>\u53ef\u4ee5\uff0c\u4f60\u53ef\u4ee5\u5728\u4e0d\u540c GPU \u6578\u91cf\u7684\u914d\u7f6e\u4e0a\u6062\u5fa9\u8a13\u7df4\u3002\u6aa2\u67e5\u9ede\u4e2d\u4fdd\u5b58\u7684\u6a21\u578b\u53c3\u6578\u548c\u6700\u4f73\u5316\u5668\u72c0\u614b\u53ef\u4ee5\u8de8\u914d\u7f6e\u9077\u79fb\u3002\u4e0d\u904e\uff0c\u4f60\u9700\u8981\u76f8\u61c9\u8abf\u6574 batch size \u548c\u5b78\u7fd2\u7387\u3002\u8cc7\u6599\u8f09\u5165\u5668\u7684\u5206\u767c\u65b9\u5f0f\u53ef\u80fd\u6703\u6539\u8b8a\uff0c\u4f46\u4fdd\u5b58\u7684 epoch \u548c\u6a21\u578b\u72c0\u614b\u4f9d\u7136\u6709\u6548\u3002<\/p>\n<h3>\u6211\u600e\u9ebc\u5224\u65b7\u6062\u5fa9\u662f\u5426\u6210\u529f\uff1f<\/h3>\n<p>\u5148\u57f7\u884c\u5e7e\u500b batch\uff0c\u4e26\u628a\u640d\u5931\u503c\u8207\u7576\u6a5f\u524d\u7684\u65e5\u8a8c\u9032\u884c\u6bd4\u8f03\uff1b\u68af\u5ea6\u7bc4\u6578\u4e5f\u61c9\u7576\u76e1\u91cf\u63a5\u8fd1\u3002\u540c\u6642\u89c0\u5bdf\u6062\u5fa9\u521d\u671f\u662f\u5426\u51fa\u73fe NaN \u503c\u6216\u68af\u5ea6\u7206\u70b8\u3002\u4efb\u4f55\u986f\u8457\u504f\u5dee\uff0c\u90fd\u8868\u793a\u6062\u5fa9\u6d41\u7a0b\u5b58\u5728\u932f\u8aa4\uff0c\u61c9\u7acb\u523b\u505c\u6b62\u4e26\u6392\u67e5\uff0c\u907f\u514d\u7e7c\u7e8c\u6d6a\u8cbb\u7b97\u529b\u3002<\/p>\n<h3>\u6aa2\u67e5\u9ede\u6703\u62d6\u6162\u8a13\u7df4\u55ce\uff1f<\/h3>\n<p>\u6aa2\u67e5\u9ede\u6a5f\u5236\u78ba\u5be6\u6703\u5e36\u4f86\u4e00\u5b9a\u958b\u92b7\uff0c\u4f46\u73fe\u4ee3\u7cfb\u7d71\u5df2\u7d93\u80fd\u628a\u9019\u90e8\u5206\u6210\u672c\u58d3\u5f97\u5f88\u4f4e\u3002\u50b3\u7d71\u5132\u5b58\u65b9\u5f0f\u901a\u5e38\u6703\u5360\u7528 5%\u201310% \u7684\u8a13\u7df4\u6642\u9593\uff0c\u800c\u9ad8\u901f NVMe \u5206\u5c64\u5132\u5b58\u53ef\u5c07\u5176\u964d\u5230 1% \u4ee5\u4e0b\u3002\u975e\u540c\u6b65\u6aa2\u67e5\u9ede\u9084\u80fd\u628a\u8cc7\u6599\u5148\u5378\u8f09\u5230\u4e3b\u6a5f\u8a18\u61b6\u9ad4\uff0c\u8b93 GPU \u5728\u4fdd\u5b58\u904e\u7a0b\u4e2d\u7e7c\u7e8c\u5de5\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f60\u7684 GPT-6 \u8a13\u7df4\u4efb\u52d9\u5df2\u7d93\u5728 AI \u8a13\u7df4\u53e2\u96c6\u4e0a\u8dd1\u4e86 10 \u5929\uff0c\u537b\u7a81\u7136\u7576\u6a5f\u4e86\u3002\u87a2\u5e55\u7184\u6ec5\uff0c\u5fc3\u8df3\u52a0\u901f\u3002\u4e4b\u524d\u7684\u9032\u5ea6 [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":34575,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[61],"tags":[13227,13228,13229,13230,13231],"class_list":["post-34578","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-tc","tag-gpt-6-training-recovery","tag-server-crash-recovery","tag-ai-training-checkpoint","tag-learning-rate-recovery","tag-distributed-training-failure-recovery"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4<\/title>\n<meta name=\"description\" content=\"\u4e86\u89e3\u5728\u4f3a\u670d\u5668\u7576\u6a5f\u4e2d\u65b7 GPT-6 \u8a13\u7df4\u5f8c\uff0c\u5982\u4f55\u6062\u5fa9\u8a13\u7df4\u9032\u5ea6\u3002\u900f\u904e\u9084\u539f\u6aa2\u67e5\u9ede\u3001\u8abf\u6574\u5b78\u7fd2\u7387\u4e26\u9a57\u8b49\u6062\u5fa9\u7d50\u679c\uff0c\u5c07\u505c\u6a5f\u6642\u9593\u964d\u5230\u6700\u4f4e\u3002\" \/>\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.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"company\" \/>\n<meta property=\"og:title\" content=\"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578\" \/>\n<meta property=\"og:site_name\" content=\"\u65b0\u5929\u57df\u4e92\u806f\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-09T03:03:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-09T03:09:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png\" \/>\n\t<meta property=\"og:image:width\" content=\"613\" \/>\n\t<meta property=\"og:image:height\" content=\"405\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4","description":"\u4e86\u89e3\u5728\u4f3a\u670d\u5668\u7576\u6a5f\u4e2d\u65b7 GPT-6 \u8a13\u7df4\u5f8c\uff0c\u5982\u4f55\u6062\u5fa9\u8a13\u7df4\u9032\u5ea6\u3002\u900f\u904e\u9084\u539f\u6aa2\u67e5\u9ede\u3001\u8abf\u6574\u5b78\u7fd2\u7387\u4e26\u9a57\u8b49\u6062\u5fa9\u7d50\u679c\uff0c\u5c07\u505c\u6a5f\u6642\u9593\u964d\u5230\u6700\u4f4e\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578","og_locale":"zh_TW","og_type":"company","og_title":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4","og_url":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578","og_site_name":"\u65b0\u5929\u57df\u4e92\u806f","article_published_time":"2026-09-09T03:03:37+00:00","article_modified_time":"2026-09-09T03:09:54+00:00","og_image":[{"width":613,"height":405,"url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png","type":"image\/png"}],"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#article","isPartOf":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/"},"author":{"name":"Debbie Ng","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/person\/0bfc8768eb7caacbfab4a0855d805626"},"headline":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4","datePublished":"2026-09-09T03:03:37+00:00","dateModified":"2026-09-09T03:09:54+00:00","mainEntityOfPage":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/"},"wordCount":87,"publisher":{"@id":"https:\/\/simcentric.com\/tc\/#organization"},"image":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#primaryimage"},"thumbnailUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png","keywords":["GPT-6\u8a13\u7df4\u6062\u5fa9","\u4f3a\u670d\u5668\u7576\u6a5f\u6062\u5fa9","AI\u8a13\u7df4\u6aa2\u67e5\u9ede","\u5b78\u7fd2\u7387\u6062\u5fa9","\u5206\u6563\u5f0f\u8a13\u7df4\u6545\u969c\u6062\u5fa9"],"articleSection":["\u9999\u6e2f\u4f3a\u670d\u5668"],"inLanguage":"zh-HK"},{"@type":"WebPage","@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/","url":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/","name":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4","isPartOf":{"@id":"https:\/\/simcentric.com\/tc\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#primaryimage"},"image":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#primaryimage"},"thumbnailUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png","datePublished":"2026-09-09T03:03:37+00:00","dateModified":"2026-09-09T03:09:54+00:00","description":"\u4e86\u89e3\u5728\u4f3a\u670d\u5668\u7576\u6a5f\u4e2d\u65b7 GPT-6 \u8a13\u7df4\u5f8c\uff0c\u5982\u4f55\u6062\u5fa9\u8a13\u7df4\u9032\u5ea6\u3002\u900f\u904e\u9084\u539f\u6aa2\u67e5\u9ede\u3001\u8abf\u6574\u5b78\u7fd2\u7387\u4e26\u9a57\u8b49\u6062\u5fa9\u7d50\u679c\uff0c\u5c07\u505c\u6a5f\u6642\u9593\u964d\u5230\u6700\u4f4e\u3002","breadcrumb":{"@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#breadcrumb"},"inLanguage":"zh-HK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/"]}]},{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#primaryimage","url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png","contentUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2026\/09\/sim-blog-2026-09-09-blogA.png","width":613,"height":405,"caption":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4"},{"@type":"BreadcrumbList","@id":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-restart-gpt-6-training-after-a-server-crash\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.simcentric.com\/tc\/"},{"@type":"ListItem","position":2,"name":"\u4f3a\u670d\u5668\u7576\u6a5f\u5f8c\u5982\u4f55\u91cd\u65b0\u555f\u52d5 GPT-6 \u8a13\u7df4"}]},{"@type":"WebSite","@id":"https:\/\/simcentric.com\/tc\/#website","url":"https:\/\/simcentric.com\/tc\/","name":"Simcentric Solutions","description":"","publisher":{"@id":"https:\/\/simcentric.com\/tc\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/simcentric.com\/tc\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"zh-HK"},{"@type":"Organization","@id":"https:\/\/simcentric.com\/tc\/#organization","name":"Simcentric Solutions","url":"https:\/\/simcentric.com\/tc\/","logo":{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/logo\/image\/","url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2023\/06\/sim-logo-2023.png","contentUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2023\/06\/sim-logo-2023.png","width":800,"height":222,"caption":"Simcentric Solutions"},"image":{"@id":"https:\/\/simcentric.com\/tc\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/person\/0bfc8768eb7caacbfab4a0855d805626","name":"Debbie Ng","image":{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","caption":"Debbie Ng"}}]}},"_links":{"self":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/comments?post=34578"}],"version-history":[{"count":2,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578\/revisions"}],"predecessor-version":[{"id":34581,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/34578\/revisions\/34581"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/media\/34575"}],"wp:attachment":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/media?parent=34578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/categories?post=34578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/tags?post=34578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}