{"id":27737,"date":"2025-07-20T02:52:00","date_gmt":"2025-07-19T18:52:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=27737"},"modified":"2025-07-19T14:52:27","modified_gmt":"2025-07-19T06:52:27","slug":"openrlhf-ray","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2025\/07\/20\/openrlhf-ray\/","title":{"rendered":"\u56fe\u89e3OpenRLHF\u4e2d\u57fa\u4e8eRay\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u6d41\u7a0b"},"content":{"rendered":"\n<p class=\"has-light-gray-background-color has-background\"><strong>\u6458\u81ea\uff1a<a href=\"https:\/\/zhuanlan.zhihu.com\/p\/12871616401\" target=\"_blank\" rel=\"noreferrer noopener\">\u56fe\u89e3OpenRLHF\u4e2d\u57fa\u4e8eRay\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u6d41\u7a0b<\/a><\/strong><\/p>\n\n\n\n\n\n<p>\u672c\u6587\u7740\u91cd\u5206\u6790<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\" target=\"_blank\" rel=\"noreferrer noopener\">OpenRLHF<\/a>\u4e2d\u7684<a href=\"https:\/\/zhida.zhihu.com\/search?content_id=251597453&amp;content_type=Article&amp;match_order=1&amp;q=PPO-Ray&amp;zhida_source=entity\" target=\"_blank\" rel=\"noreferrer noopener\">PPO-Ray<\/a>\u8bad\u7ec3\u67b6\u6784\u8bbe\u8ba1\uff0c\u4e0d\u4e86\u89e3Ray\u7684\u670b\u53cb\u4e5f\u53ef\u4ee5\u901a\u8fc7\u672c\u6587\u5feb\u901f\u4e0a\u624b\uff0c\u5168\u6587\u5171\u5206\u6210\u4e94\u5757\uff1a<\/p>\n\n\n\n<ol><li><strong>\u4e3a\u4ec0\u4e48\u7528Ray<\/strong><\/li><li><strong>\u4f7f\u7528\u56fe\u4f8b\u62bd\u8c61\u51fa\u6574\u4f53\u8bad\u7ec3\u6d41\u7a0b<\/strong><\/li><li><strong>Ray\u6838\u5fc3\u77e5\u8bc6\u901f\u8fc7<\/strong><\/li><li><strong>\u4f7f\u7528\u56fe\u4f8b\u8fdb\u4e00\u6b65\u62bd\u8c61\u51fa\u6838\u5fc3\u4ee3\u7801\u7ec6\u8282\uff0c\u5305\u62ec\uff1a<\/strong><\/li><\/ol>\n\n\n\n<ul><li>\u8bad\u7ec3\u5165\u53e3<\/li><li>\u90e8\u7f72PPO-Actor\/Ref\/Critic\/RM\u5b9e\u4f8b<\/li><li>\u90e8\u7f72vllm_engines\u5b9e\u4f8b<\/li><li>PPO-Actor\u4e0evllm_engines\u4e4b\u95f4\u7684\u901a\u8baf<\/li><li>PPO-Actor\/Critic\u8bad\u7ec3<\/li><\/ul>\n\n\n\n<p><strong>5. RLHF-PPO\u7b97\u6cd5\u7ec6\u8282\u4ecb\u7ecd<\/strong><\/p>\n\n\n\n<h2>Ray\u4ecb\u7ecd<\/h2>\n\n\n\n<p><a href=\"https:\/\/github.com\/ray-project\/ray\">https:\/\/github.com\/ray-project\/ray<\/a><\/p>\n\n\n\n<p>Ray \u662f\u4e00\u4e2a\u7528\u4e8e\u6269\u5c55 AI \u548c Python \u5e94\u7528\u7a0b\u5e8f\u7684\u7edf\u4e00\u6846\u67b6\u3002Ray \u7531\u4e00\u4e2a\u6838\u5fc3\u5206\u5e03\u5f0f\u8fd0\u884c\u65f6\u548c\u4e00\u7ec4\u7528\u4e8e\u7b80\u5316 ML \u8ba1\u7b97\u7684 AI \u5e93\u7ec4\u6210\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"898\" height=\"306\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-37.png\" alt=\"\" class=\"wp-image-27766\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-37.png 898w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-37-300x102.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-37-768x262.png 768w\" sizes=\"(max-width: 898px) 100vw, 898px\" \/><\/figure>\n\n\n\n<p><strong>\u4e00\u7ad9\u5f0f\u5e73\u53f0<\/strong><br>\u5305\u542b\u591a\u4e2a\u6a21\u5757\uff08Ray Core, Ray Data, Train, Tune, RLlib, Serve\uff09\u652f\u6301\u4ece\u6570\u636e\u52a0\u8f7d\u3001\u5e76\u884c\u4efb\u52a1\u8c03\u5ea6\uff0c\u5230\u5206\u5e03\u5f0f\u8bad\u7ec3\u3001\u8d85\u53c2\u8c03\u4f18\u3001\u5f3a\u5316\u5b66\u4e60\u3001\u6a21\u578b\u90e8\u7f72\u7684\u5b8c\u6574 AI \u5de5\u4f5c\u6d41\u3002<\/p>\n\n\n\n<p><strong>Python \u539f\u751f\uff0c\u95e8\u69db\u4f4e<\/strong><br>\u91c7\u7528\u88c5\u9970\u5668 <code>@ray.remote<\/code> \u6807\u8bb0\u51fd\u6570\u6216 Actor\uff0c\u5373\u53ef\u5e76\u884c\u6267\u884c\uff0c\u65e0\u9700\u4e86\u89e3\u5e95\u5c42\u5206\u5e03\u5f0f\u539f\u7406\u3002<\/p>\n\n\n\n<p><strong>\u9ad8\u6027\u80fd &amp; \u5bb9\u9519\u80fd\u529b<\/strong><br>\u5229\u7528\u5206\u5e03\u5f0f\u8c03\u5ea6\u3001\u5171\u4eab\u5185\u5b58\u5bf9\u8c61\u5b58\u50a8\u3001\u5c42\u7ea7\u8c03\u5ea6\u673a\u5236\uff0c\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u541e\u5410\u3001\u6545\u969c\u6062\u590d\u3002<\/p>\n\n\n\n<h2 id=\"h_12871616401_0\">\u4e00\u3001\u4e3a\u4ec0\u4e48\u8981\u4f7f\u7528Ray<\/h2>\n\n\n\n<p><strong>\u5bf9\u4e8e\u901a\u5e38\u7684rlhf\u6846\u67b6\uff0c\u5728\u8bad\u7ec3\u65f6\u4f1a\u5728\u5355\u5361\u4e0a\u540c\u65f6\u90e8\u7f72actor\/ref\/reward\/critic\u56db\u7c7b\u6a21\u578b<\/strong>\uff0c\u8fd9\u79cd\u5355\u4e00\u7684\u90e8\u7f72\u65b9\u5f0f\u53ef\u80fd\u5b58\u5728\u5982\u4e0b\u95ee\u9898\uff1a<\/p>\n\n\n\n<ul><li><strong>\u96be\u4ee5\u7a81\u7834\u5355\u5361\u663e\u5b58\u7684\u9650\u5236\u3002<\/strong><\/li><li><strong>\u65e0\u6cd5\u5b9e\u73b0\u66f4\u591a\u7684\u5e76\u884c\u8ba1\u7b97<\/strong>\u3002\u4f8b\u5982\u5728\u6536\u96c6exp\u9636\u6bb5\uff0c\u62ff\u5230<code>(prompt, responses)<\/code>\u7ed3\u679c\u7684\u56db\u7c7b\u6a21\u578b\u5176\u5b9e\u53ef\u4ee5\u505a\u5e76\u884c\u63a8\u7406\uff1b\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u62ff\u5230exp\u7684actor\u548ccritic\u4e5f\u53ef\u4ee5\u505a\u5e76\u884c\u8bad\u7ec3\u3002\u4f46\u53d7\u5230\u5355\u5361\u663e\u5b58\u7b49\u56e0\u7d20\u5f71\u54cd\uff0c\u901a\u5e38\u7684rlhf\u6846\u67b6\u4e2d\u4f7f\u7528\u66f4\u591a\u7684\u662f\u4e32\u884c\u3002<\/li><li><strong>\u65e0\u6cd5\u72ec\u7acb\u4f18\u5316\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b<\/strong>\u3002\u8bf8\u5982vllm\u4e4b\u7c7b\u7684\u6846\u67b6\uff0c\u662f\u53ef\u4ee5\u7528\u6765\u63d0\u5347actor\u751f\u6210<code>(prompt, responses)<\/code>\u7684\u901f\u5ea6\u7684\uff0c\u800c\u5bf9\u4e8e\u5176\u5b83\u6a21\u578b\uff0c\u6211\u4eec\u4e5f\u53ef\u80fd\u4f1a\u89c6\u7b97\u6cd5\u9700\u8981\u6709\u4e0d\u540c\u7684\u63a8\u7406\u9700\u6c42\u3002\u56e0\u6b64\u6211\u4eec\u671f\u671b\u80fd\u66f4\u52a0\u7075\u6d3b\u5730\u8bbe\u8ba1\u8bad\u7ec3\u3001\u63a8\u7406\u8fc7\u7a0b<\/li><\/ul>\n\n\n\n<p><br>\u800c\u89e3\u51b3\u4ee5\u4e0a\u95ee\u9898\uff0c<strong>\u9700\u8981\u5f00\u53d1\u8005\u80fd\u8bbe\u8ba1\u4e00\u5957\u8f83\u4e3a\u7075\u6d3b\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6<\/strong>\uff0c\u80fd\u591f\u5b9e\u73b0\u8d44\u6e90\u5b9a\u5236\u5316\u5206\u914d\u3001\u5206\u5e03\u5f0f\u8c03\u5ea6\u3001\u8282\u70b9\u5185\u5916\u901a\u4fe1\u7b49\u76ee\u6807\uff0c\u540c\u65f6\u76f8\u5173\u7684\u4ee3\u7801\u4e0d\u80fd\u592a\u590d\u6742\uff0c\u80fd\u591f\u8ba9\u4f7f\u7528\u8005\u66f4\u4e13\u6ce8\u4e8e\u7b97\u6cd5\u90e8\u5206\u7684\u7814\u53d1\u3002<strong>\u800cRay\u5929\u7136\u53ef\u4ee5\u5e2e\u6211\u4eec\u505a\u8fd9\u4ef6\u4e8b\uff1a\u6211\u4eec\u53ea\u9700\u63d0\u4f9b\u81ea\u5df1\u7684\u8d44\u6e90\u5206\u914d\u65b9\u6848\uff0c\u544a\u8bc9Ray\u6211\u60f3\u600e\u4e48\u90e8\u7f72\u8fd9\u4e9b\u6a21\u578b\uff0c\u4e0d\u7ba1\u662f\u5206\u5f00\u8fd8\u662f\u5408\u5e76\u90e8\u7f72Ray\u90fd\u53ef\u4ee5\u5e2e\u6211\u4eec\u5b9e\u73b0\u3002\u800c\u590d\u6742\u7684\u8c03\u5ea6\u7b56\u7565\u548c\u901a\u4fe1\u7b49\u4e8b\u9879\uff0c\u5c31\u7531Ray\u5728\u540e\u53f0\u53bb\u505a\uff0c\u6211\u4eec\u65e0\u9700\u5173\u5fc3\u8fd9\u4e2a\u8fc7\u7a0b\u3002<\/strong><\/p>\n\n\n\n<h2 id=\"h_12871616401_1\">\u4e8c\u3001\u6574\u4f53\u6d41\u7a0b<\/h2>\n\n\n\n<p>\u672c\u8282\u6211\u4eec\u5c06\u63d0\u4f9b2\u4e2a\u4f8b\u5b50\uff0c\u5e2e\u52a9\u5927\u5bb6\u66f4\u597d\u7406\u89e3\u4f7f\u7528Ray\u53ef\u4ee5\u505a\u4ec0\u4e48\u6837\u7684\u201c\u5b9a\u5236\u5316\u201d\u90e8\u7f72\u3002<strong>\u6ce8\u610f\uff0c\u8fd9\u4e9b\u4f8b\u5b50\u53ea\u505a\u8bb2\u89e3\u7528\uff0c\u4e0d\u4ee3\u8868\u5b83\u4eec\u4e00\u5b9a\u662f\u8bad\u7ec3\u7684\u6700\u4f18\u914d\u7f6e\u3002<\/strong><\/p>\n\n\n\n<h3 id=\"h_12871616401_2\">2.1 \u975e\u5171\u540c\u90e8\u7f72<\/h3>\n\n\n\n<p><br>\u8fd9\u4e2a\u4f8b\u5b50\u5c55\u793a\u5982\u4f55\u5b8c\u5168\u72ec\u7acb\u90e8\u7f72\u5404\u4e2a\u6a21\u578b\u3002\u5047\u8bbe\u6211\u4eec\u67093\u53f0node\uff0c\u6bcf\u53f0node 8\u5f20\u5361\u3002\u4ee5\u4e0b\u5c55\u793a\u5176\u4e2d\u4e00\u79cd\u53ef\u884c\u7684\u90e8\u7f72\u65b9\u5f0f\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"400\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/v2-c46a2e47aa48f3c0a42eecc5003e28ee_1440w-1024x400.jpg\" alt=\"\" class=\"wp-image-27769\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/v2-c46a2e47aa48f3c0a42eecc5003e28ee_1440w-1024x400.jpg 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/v2-c46a2e47aa48f3c0a42eecc5003e28ee_1440w-300x117.jpg 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/v2-c46a2e47aa48f3c0a42eecc5003e28ee_1440w-768x300.jpg 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/v2-c46a2e47aa48f3c0a42eecc5003e28ee_1440w.jpg 1440w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"h_12871616401_3\">\uff081\uff09\u90e8\u7f724\u7c7b\u6a21\u578b<\/h3>\n\n\n\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c4\u7c7b\u6a21\u578b\u5206\u5f00\u90e8\u7f72\u5728node0\u548cnode1\u4e0a\u3002\u4ee5Actor\u4e3a\u4f8b\uff0c\u5b83\u5206\u5e03\u5728\u201cnode0\u7684gpu0\/1 + node1\u7684gpu0\/1\u201d\u4e0a\u3002<strong>\u8fd9\u4e00\u70b9\u662f\u7531Ray\u5b9e\u73b0\u7684\uff1a\u6211\u4eec\u81ea\u5df1\u5b9a\u5236\u5316\u8d44\u6e90\u5206\u914d\u7684\u65b9\u6848\uff0c\u8fdb\u800c\u7ba1\u63a7\u6a21\u578b\u7684\u5206\u914d\u65b9\u5f0f<\/strong><br><br><strong>\u800c\u5f53\u5b9e\u9645\u8bad\u7ec3\u65f6\uff0c\u6211\u4eec\u8fd8\u53ef\u8fdb\u4e00\u6b65\u5f15\u5165<a href=\"https:\/\/zhida.zhihu.com\/search?content_id=251597453&amp;content_type=Article&amp;match_order=1&amp;q=Deepspeed+zero&amp;zhida_source=entity\" target=\"_blank\" rel=\"noreferrer noopener\">Deepspeed zero<\/a>\u505a\u4f18\u5316<\/strong>\uff1a\u4ee5Actor\u4e3a\u4f8b\uff0c\u4e0a\u56fe\u4e2d\u76844\u4e2aActor\u6784\u6210zero\u4e2d\u7684\u6570\u636e\u5e76\u884c\u7ec4\uff08world_size = 4\uff09\uff0c\u6839\u636ezero\u7684\u914d\u7f6e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u8fd94\u5f20\u5361\u95f4\u505aoptimizer\/gradients\/weights\u7684\u5207\u7247<\/p>\n\n\n\n<h3 id=\"h_12871616401_4\">\uff082\uff09\u90e8\u7f72vllm_engines<\/h3>\n\n\n\n<p>\u524d\u6587\u8bf4\u8fc7\uff0c\u5bf9\u4e8eActor\u6a21\u578b\uff0c\u5728\u6536\u96c6exp\u9636\u6bb5\u6211\u4eec\u53ef\u4ee5\u91c7\u7528vllm\u4e4b\u7c7b\u7684\u6846\u67b6\u52a0\u901f<code>(prompt, responses)<\/code>\u7684\u751f\u6210\u3002\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff1a<\/p>\n\n\n\n<ul><li>1\u4e2avllm_engine\u7ef4\u62a4\u7740\u4e00\u4e2avllm\u5b9e\u4f8b\uff0c\u6bcf\u4e2avllm\u5b9e\u4f8b\u4e0b\u7ef4\u62a4\u4e00\u4e2a\u5b8c\u6574\u7684Actor\u6a21\u578b\uff0c\u8fd9\u91cc\u6211\u4eec\u8fd8\u5047\u8bbe\u4e00\u4e2avllm\u5b9e\u4f8b\u6309tp_size = 2\u7684\u65b9\u6cd5\u5207\u5272\u6a21\u578b\u3002<\/li><li>\u5728node2\u4e2d\uff0c\u5171\u67094\u4e2avllm_engines\uff08\u4e5f\u53734\u4e2avllm\u5b9e\u4f8b\uff09\uff0c<strong>\u8fd9\u79cd\u5206\u914d\u65b9\u5f0f\u662f\u901a\u8fc7Ray\u5b9e\u73b0\u7684\u3002\u800c\u6bcf\u4e2avllm\u5b9e\u4f8b\u5185\u7684\u5206\u5e03\u5f0f\u63a8\u7406\u5219\u662f\u7531vllm\u81ea\u5df1\u7ba1\u63a7\u3002<\/strong><\/li><\/ul>\n\n\n\n<h3 id=\"h_12871616401_5\"><br>\uff083\uff09Actor\u4e0evllm_engines\u4e4b\u95f4\u7684\u901a\u8baf<\/h3>\n\n\n\n<p>\u6211\u4eec\u79f0\uff1a<\/p>\n\n\n\n<ul><li>vllm_engines\u4e2d\u7684actor\u4e3avllm_actor<\/li><li>node0\/1\u4e2d\u7684actor\u4e3ads_actor<\/li><\/ul>\n\n\n\n<p>\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0cvllm_actor\u9700\u8981\u548cds_actor\u4fdd\u6301\u6743\u91cd\u4e00\u81f4\u3002\u6211\u4eec\u6765\u770b\u8fd9\u4e2a\u4e00\u81f4\u6027\u662f\u5982\u4f55\u7ef4\u62a4\u7684\uff1a<\/p>\n\n\n\n<ol><li><strong>\u521d\u59cb\u5316\u9636\u6bb5<\/strong><\/li><\/ol>\n\n\n\n<p>\u5047\u8bbe<code>pretrain<\/code>\u8def\u5f84\u4e0b\u5b58\u50a8\u7740sft\u6a21\u578b\uff0c\u5f53\u6211\u4eec\u9996\u6b21\u5f00\u59cb\u8bad\u7ec3\u65f6\uff0cds_actor\u548cvllm_actor\u90fd\u76f4\u63a5\u4ece<code>pretrain<\/code>\u4e2d\u52a0\u8f7d\u6743\u91cd\uff0c\u4e24\u8005\u4e92\u4e0d\u5f71\u54cd\uff0c\u72ec\u7acb\u52a0\u8f7d\u3002<br><br><br><strong>2. \u8bad\u7ec3\u4e2d<\/strong><\/p>\n\n\n\n<p>\u57281\u4e2astep\u7ed3\u675f\u540e\uff0cds_actor\u9700\u8981\u628a\u66f4\u65b0\u540e\u7684\u6743\u91cdbroadcast\u7ed9vllm_actor\uff0c\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ul><li><strong>\u9996\u5148\uff0c\u5bf9<code>ds_rank0 + all_vllm_ranks<\/code>\u521b\u5efa\u4e00\u4e2a\u901a\u8baf\u7ec4<\/strong>\u3002\u5728\u672c\u4f8b\u4e2d:<ul><li>node0\/gpu0\u4e0a\u7684actor\u662fds_rank0<\/li><li>node2\u4e2d\u6240\u6709\u7684gpu\u6784\u6210all_vllm_ranks\u3002<\/li><li>\u6211\u4eec\u5c31\u662f\u628a\u8fd9\u4e24\u8005\u7eb3\u5165\u4e00\u4e2a\u901a\u8baf\u7ec4\u5185\uff0c\u8fd9\u4e2a\u901a\u8baf\u7ec4\u7684world_size = 9\u3002\u5982\u679c\u6211\u4eec\u591a\u4e00\u53f0node3\u6765\u505avllm_engines\uff0c\u90a3\u4e48\u8fd9\u4e2a\u901a\u8baf\u7ec4\u7684world_size = 17\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002<\/li><\/ul><\/li><li><strong>\u5047\u8bbe\u6211\u4eec\u4f7f\u7528ds_zero1\/2<\/strong>\uff0c\u5219ds_rank0\u4e0a\u7ef4\u62a4\u7684\u662f\u5b8c\u6574\u7684actor\u6743\u91cd\uff0c\u6211\u4eec\u628ads_rank0\u4e0a\u7684\u6743\u91cdbroadcast\u5230\u6bcf\u4e00\u4e2avllm_rank\uff0c\u5982\u6709\u8bbe\u7f6etp\uff0cvllm\u4f1a\u81ea\u52a8\u5e2e\u6211\u4eec\u5b8c\u6574\u63a5\u4e0b\u6765\u7684\u6a21\u578b\u5207\u5272\u3002<\/li><li><strong>\u5047\u8bbe\u6211\u4eec\u4f7f\u7528ds_zero3<\/strong>\uff0c\u5219ds_rank0\u4e0a\u53ea\u7ef4\u62a4\u90e8\u5206actor\u6743\u91cd\uff0c\u90a3\u4e48\uff1a<ul><li>ds_rank0\u5148\u4eceds_actor\u7ec4\u5185all gather\u56de\u5b8c\u6574\u7684\u6a21\u578b\u6743\u91cd<\/li><li>\u518d\u5c06\u5b8c\u6574\u7684\u6a21\u578b\u6743\u91cdbrocast\u7ed9\u6bcf\u4e00\u4e2avllm_rank<\/li><\/ul><\/li><\/ul>\n\n\n\n<p><strong>3. \u4ece\u68c0\u67e5\u70b9\u6062\u590d\u8bad\u7ec3\uff08load_checkpoint\uff09<\/strong><\/p>\n\n\n\n<p>\u5f53\u6211\u4eec\u9700\u8981\u4ece\u68c0\u67e5\u70b9\u6062\u590d\u8bad\u7ec3\u65f6\uff0cds_actor\u4f1a\u8d1f\u8d23\u628a\u68c0\u67e5\u70b9\u6743\u91cdbroadcast\u7ed9vllm_actor\uff0c\u65b9\u5f0f\u540c2\u3002<\/p>\n\n\n\n<h3 id=\"h_12871616401_6\">\uff084\uff09\u6574\u4f53\u8fd0\u4f5c\u6d41\u7a0b<\/h3>\n\n\n\n<p>\u7ed3\u54082.1\u5f00\u5934\u7684\u56fe\u4f8b\uff0c\u6211\u4eec\u6765\u7b80\u8ff0\u4e00\u4e0b\u6574\u4f53\u8fd0\u4f5c\u6d41\u7a0b\u3002<\/p>\n\n\n\n<ul><li>\u9996\u5148\u660e\u786e\u4e00\u4e9b\u8868\u8fbe\u3002\u4f8b\u5982\uff0c<code>node0\u4e2d\u7684Actor0\/1 + node1\u4e2d\u7684Actor0\/1<\/code>\u5c5e\u4e8e\u76f8\u540c\u7684\u6570\u636e\u5e76\u884c\u7ec4\uff0c\u6240\u4ee5\u63a5\u4e0b\u6765\u6211\u4eec\u4f1a\u7528\u5b83\u4eec\u5728dp\u7ec4\u4e2d\u7684rank\u6765\u63cf\u8ff0\u5b83\u4eec\uff0c\u4e5f\u5c31\u662f\u5206\u522b\u6539\u79f0Actor0\/1\/2\/3\u3002\u5bf9\u4e8e\u5176\u4f59\u4e09\u7c7b\u6a21\u578b\u4e5f\u662f\u540c\u7406\u3002<\/li><li>\u63a5\u7740\u8fdb\u884c\u5206\u7ec4\uff1a<ul><li><code>Actor0 \/ Ref0 \/ RM0 \/ Critic0 \/ vllm_engine0<\/code>\u4e3a\u4e00\u7ec4<\/li><li><code>Actor1 \/ Ref1 \/ RM1 \/ Critic1 \/ vllm_engine1<\/code>\u4e3a\u4e00\u7ec4<\/li><li><code>Actor2 \/ Ref2 \/ RM2 \/ Critic2 \/ vllm_engine2<\/code>\u4e3a\u4e00\u7ec4<\/li><li><code>Actor3 \/ Ref3 \/ RM3 \/ Critic3 \/ vllm_engine3<\/code>\u4e3a\u4e00\u7ec4<\/li><li><strong>\u4f60\u53ef\u4ee5\u628a\u6bcf\u4e00\u7ec4\u60f3\u8c61\u6210\u539f\u6765\u7684\u4e00\u5f20\u5355\u5361\uff0c\u90a3\u4e48\u5b83\u7684\u4f5c\u7528\u5c31\u662f\u8d1f\u8d23\u4e00\u4e2amicro_batch\u7684\u8bad\u7ec3\uff0c<\/strong>\u8fd9\u6837\u6211\u4eec\u5c31\u80fd\u5927\u81f4\u60f3\u8c61\u5230\u5b83\u4eec\u4e4b\u95f4\u662f\u5982\u4f55\u914d\u5408\u8fd0\u4f5c\u7684\u4e86\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u6211\u4eec\u7684\u4f8b\u5b50\u4e2d\uff0c\u8fd9\u4e9b\u5b9e\u4f8b\u90fd\u662f\u4e00\u4e00\u5bf9\u5e94\u7684\uff08\u5404\u81ea\u67094\u4e2a\u5b9e\u4f8b\uff09\uff0c\u4f46\u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d\uff0c\u6839\u636e\u4e0d\u540c\u7528\u6237\u7684\u8d44\u6e90\u914d\u7f6e\uff0c\u4e0d\u4e00\u5b9a\u5b58\u5728\u8fd9\u4e2a\u4e00\u4e00\u5bf9\u5e94\u7684\u5173\u7cfb\u3002\u4f8b\u5982\u4f60\u53ef\u80fd\u75284\u5361\u90e8\u7f72Actor\uff0c2\u5361\u90e8\u7f72Critic\uff0c8\u4e2avllm_engines&#8230;\u4ee5\u6b64\u7c7b\u63a8\u3002<strong>\u4e0d\u7ba1\u600e\u6837\uff0c\u6211\u4eec\u5e94\u8be5\u5c3d\u91cf\u5728\u5904\u7406micro_bathes\u7684\u5404\u4e2a\u7ec4\u95f4\u5747\u5300\u5206\u914d\u8d1f\u8f7d\uff0c\u5728\u4ee3\u7801\u91cc\u76f8\u5173\u7684\u64cd\u4f5c\u5982\u4e0b\uff1a<\/strong><\/li><\/ul><\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4e3a\u6bcf\u4e2aactor\u5206\u914d\u5176\u5bf9\u5e94\u7684critic\/reward\/ref\uff0c\u5e76\u542f\u52a8\u6bcf\u4e2a\u5206\u7ec4\u7684\u8bad\u7ec3\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py%23L278-L299\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py#L278-L299<\/a><br>\u4e3a\u6bcf\u4e2aactor\u5206\u914d\u5bf9\u5e94\u7684vllm_engine\uff0c\u5e76\u4f7f\u7528vllm_engine\u8fdb\u884c\u63a8\u7406\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py%23L627\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py#L627<\/a><\/p><\/blockquote>\n\n\n\n<h3 id=\"h_12871616401_7\">2.2 \u5171\u540c\u90e8\u7f72<\/h3>\n\n\n\n<p><br>\u540c\u6837\uff0c\u6211\u4eec\u53ef\u4ee5\u6309\u7167\u81ea\u5df1\u7684\u9700\u6c42\uff0c\u9009\u62e9\u6027\u5730\u5728\u5355\u5361\u4e0a\u90e8\u7f72\u4e0d\u540c\u79cd\u7c7b\u7684\u6a21\u578b\uff0c\u4f8b\u5982\u4e0b\u9762\u7684\u4f8b\u5b50\u4e2d\uff0cactor\/ref\u5171\u90e8\u7f72\uff0ccritic\/reward\u5171\u90e8\u7f72\uff0c\u56fe\u4f8b\u5982\u4e0b\uff0c\u8fd0\u4f5c\u6d41\u7a0b\u548c2.1\u76f8\u4f3c\uff0c\u8fd9\u91cc\u4e0d\u8d58\u8ff0\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-b91c1b4dd04d93e8b06674f47099304f_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_12871616401_8\">\u4e09\u3001Ray\u7684\u6838\u5fc3\u6982\u5ff5<\/h2>\n\n\n\n<p><strong>\u5728\u4f20\u7edf\u7684\u7f16\u7a0b\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u4f7f\u7528\u52302\u4e2a\u6838\u5fc3\u6982\u5ff5\uff1afunction\u548cclass<\/strong>\u3002\u800c\u5728\u5206\u5e03\u5f0f\u7cfb\u7edf\u4e2d\uff0c\u6211\u4eec\u5e0c\u671b\u53ef\u4ee5<strong>\u5206\u5e03\u5f0f\u5e76\u884c\u6267\u884c<\/strong>\u8fd9\u4e9bfunction\u548cclass\u3002<strong>Ray\u4f7f\u7528\u88c5\u9970\u5668<code>@ray.remote<\/code>\u6765\u5c06function\u5305\u88c5\u6210<u>Ray task<\/u>\uff0c\u5c06class\u5305\u88c5\u6210<u>Ray actor<\/u>\uff0c\u5305\u88c5\u8fc7\u540e\u7684\u7ed3\u679c\u53ef\u4ee5\u5728\u8fdc\u7aef\u5e76\u884c\u6267\u884c<\/strong>\u3002\u63a5\u4e0b\u6765\u6211\u4eec\u5c31\u6765\u7ec6\u770b<strong>task\/actor<\/strong>\uff08\u6ce8\u610f\uff0c\u8fd9\u91cc\u7684actor\u662fray\u4e2d\u7684\u6982\u5ff5\uff0c\u4e0d\u662frlhf-ppo\u4e2dactor\u6a21\u578b\u7684\u6982\u5ff5\uff09<\/p>\n\n\n\n<p><strong>\u8bf7\u5927\u5bb6\u4e00\u5b9a\u4ed4\u7ec6\u770b3.1\u548c3.2\u8282\u4ee3\u7801\u4e2d\u7684\u6ce8\u91ca\u3002<\/strong><\/p>\n\n\n\n<h3 id=\"h_12871616401_9\">3.1 Ray Task<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>import ray\nray.init()\n\n@ray.remote\ndef f(x):\n    return x * x\n<em># ===================================================================<\/em>\n<em># \u521b\u5efadriver\u8fdb\u7a0b\uff0c\u8fd0\u884cmain<\/em>\n<em># ===================================================================<\/em>\nif __name__ == \"__main__\":\n    <em># ===================================================================<\/em>\n    <em># \u521b\u5efa4\u4e2aworker\u8fdb\u7a0b\uff0c\u53ef\u4ee5\u5728\u8fdc\u7aef\u5e76\u884c\u6267\u884c\u3002<\/em>\n    <em># \u6bcf\u6267\u884c1\u6b21f.remote(i)\uff0c\u4f1a\u53d1\u751f\u4ee5\u4e0b\u4e8b\u60c5\uff1a<\/em>\n    <em># - \u521b\u5efa1\u4e2aworker\u8fdb\u7a0b\uff0c\u5b83\u5c06\u5728\u8fdc\u7aef\u6267\u884c\u51fd\u6570f(i)<\/em>\n    <em># - \u5728driver\u8fdb\u7a0b\u4e0a\u7acb\u523b\u8fd4\u56de\u4e00\u4e2a\u5f15\u7528\uff08feature\uff09,\u8be5\u5f15\u7528\u6307\u5411f(i)\u8fdc\u7a0b\u8ba1\u7b97\u7684\u7ed3\u679c<\/em>\n    <em># ===================================================================<\/em>\n    futures = &#091;f.remote(i) for i in range(4)]\n    <em># ===================================================================<\/em>\n    <em># \u963b\u585e\/\u540c\u6b65\u64cd\u4f5c\uff1a\u7b49\u5f854\u4e2aworker\u8fdb\u7a0b\u5168\u90e8\u8ba1\u7b97\u5b8c\u6bd5<\/em>\n    <em># ===================================================================<\/em>\n    results = ray.get(futures)) \n    <em># ===================================================================<\/em>\n    <em># \u786e\u4fdd\u5168\u90e8\u8ba1\u7b97\u5b8c\u6bd5\u540e\uff0c\u5728driver\u8fdb\u7a0b\u4e0aprint\u7ed3\u679c<\/em>\n    <em># ===================================================================<\/em>\n    print(f\"The final result is: {results}\") <em># &#091;0, 1, 4, 9]<\/em><\/code><\/pre>\n\n\n\n<h3 id=\"h_12871616401_10\"><br><br>3.2 Ray Actor<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>import ray\nray.init()\n\n@ray.remote\nclass Counter(object):\n    def __init__(self):\n        self.x = 0\n    \n    def inc(self):\n        self.x += 1\n    \n    def get_value(self):\n        return self.x\n\n<em># ===================================================================<\/em>\n<em># \u521b\u5efadriver\u8fdb\u7a0b\uff0c\u8fd0\u884cmain<\/em>\n<em># ===================================================================<\/em>\nif __name__ == \"__main__\":\n    <em># ===================================================================<\/em>\n    <em># \u521b\u5efa1\u4e2aworker\u8fdb\u7a0b\uff0c\u5177\u4f53\u505a\u4e86\u4ee5\u4e0b\u4e8b\u60c5\uff1a<\/em>\n    <em># - \u5728\u8fdc\u7aef\u521b\u5efaCounter\u5b9e\u4f8b<\/em>\n    <em># - \u5728driver\u7aef\u5373\u523b\u8fd4\u56de\u5bf9\u8be5\u5b9e\u4f8b\u7684\u5f15\u7528c\uff08\u79f0\u4e3aactor handler\uff09<\/em>\n    <em># - \u6211\u4eec\u53ef\u4ee5\u5728Ray\u96c6\u7fa4\u7684\u4efb\u4f55\u8282\u70b9\u4e0a\u4f20\u9012\u548c\u4f7f\u7528\u8fd9\u4e2aactor handler\u3002\u5373\u5728\u4efb\u4f55\u5730\u65b9\uff0c<\/em>\n    <em>#   \u6211\u4eec\u53ef\u4ee5\u901a\u8fc7c\u6765invoke\u5b83\u5bf9\u5e94Counter\u5b9e\u4f8b\u4e0b\u7684\u5404\u79cd\u65b9\u6cd5<\/em>\n    <em># ===================================================================<\/em>\n    c = Counter.remote()\n\n    <em># ===================================================================<\/em>\n    <em># \u963b\u585e\/\u540c\u6b65\uff1a\u901a\u8fc7c\u6765invoke\u8fdc\u7aefCounter\u5b9e\u4f8b\u7684get_value()\u65b9\u6cd5\uff0c\u5e76\u786e\u4fdd\u65b9\u6cd5\u6267\u884c\u5b8c\u6bd5\u3002<\/em>\n    <em># \u6267\u884c\u5b8c\u6bd5\u540e\u624d\u80fd\u63a5\u7740\u6267\u884cdriver\u8fdb\u7a0b\u4e0a\u5269\u4e0b\u7684\u4ee3\u7801\u64cd\u4f5c<\/em>\n    <em># ===================================================================<\/em>\n    print(ray.get(c.get_value.remote()))  <em># 0<\/em>\n    \n    <em># ===================================================================<\/em>\n    <em># Increment the counter twice and check the value again.<\/em>\n    <em># \u9053\u7406\u540c\u4e0a\uff0c\u4e0d\u8d58\u8ff0<\/em>\n    <em># ===================================================================<\/em>\n    c.inc.remote()\n    c.inc.remote()\n    print(ray.get(c.get_value.remote()))  <em># 2<\/em><\/code><\/pre>\n\n\n\n<h3 id=\"h_12871616401_11\">3.3 Ray cluster\u67b6\u6784\u7b80\u56fe<\/h3>\n\n\n\n<p><br>\u73b0\u5728\u6211\u4eec\u5df2\u7ecf\u901a\u8fc7\u4ee5\u4e0a\u4f8b\u5b50\u5bf9Ray\u8fd0\u4f5c\u539f\u7406\u6709\u4e86\u4e00\u4e9b\u57fa\u672c\u611f\u77e5\uff0c\u6211\u4eec\u6765\u8fdb\u4e00\u6b65\u63a2\u7d22\u4e00\u4e2a<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/docs.google.com\/document\/d\/1tBw9A4j62ruI5omIJbMxly-la5w4q_TjyJgJL_jN2fI\/preview%3Ftab%3Dt.0\" target=\"_blank\">ray cluster\u7684\u7ec4\u6210<\/a>\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-98496dc8ffa3eee7343b2ce51646f8b3_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li>\u5728\u4e00\u4e2aray cluster\u4e2d\uff0c\u4f1a\u6709\u4e00\u53f0head node\u548c\u82e5\u5e72worker node<\/li><li><strong>Driver process<\/strong>\u662f\u4e00\u79cd\u7279\u6b8a\u7684worker process\uff0c\u5b83\u4e00\u822c\u8d1f\u8d23\u6267\u884ctop-level application\uff08\u4f8b\u5982python\u4e2d\u7684<code>__main__<\/code>\uff09\uff0c\u5b83\u8d1f\u8d23\u63d0\u4ea4\u60f3\u8981\u6267\u884c\u7684\u4efb\u52a1\uff0c\u4f46\u5374\u4e0d\u8d1f\u8d23\u5b9e\u9645\u6267\u884c\u5b83\u4eec\u3002\u7406\u8bba\u4e0adriver process\u53ef\u4ee5\u8fd0\u884c\u5728\u4efb\u4f55\u4e00\u53f0node\u5185\uff0c\u4f46\u9ed8\u8ba4\u521b\u5efa\u5728head node\u5185\u3002<\/li><li><strong>Worker process<\/strong>\u8d1f\u8d23\u5b9e\u9645\u4efb\u52a1\u7684\u6267\u884c\uff08<strong>\u6267\u884cRay Task\u6216Ray Actor\u4e2d\u7684\u65b9\u6cd5<\/strong>\uff09\u3002<\/li><li><strong>\u6bcf\u53f0node\u4e2d\u8fd8\u6709\u4e00\u4e2aRaylet process<\/strong>\uff0c\u5b83\u8d1f\u8d23\u7ba1\u63a7\u6bcf\u53f0node\u7684\u8c03\u5ea6\u5668\u548c\u5171\u4eab\u8d44\u6e90\u7684\u5206\u914d\u3002<\/li><li><strong>Head node\u4e2d\u7684GCS<\/strong>\u5c06\u4f1a\u8d1f\u8d23\u7ef4\u62a4\u6574\u4e2aray cluster\u7684\u76f8\u5173\u670d\u52a1\u3002<\/li><\/ul>\n\n\n\n<h2 id=\"h_12871616401_12\">\u56db\u3001\u4ee3\u7801\u7ec6\u8282<\/h2>\n\n\n\n<p><br>\u672c\u7ae0\u5c06\u89e3\u8bfb\u66f4\u591a\u4ee3\u7801\u5b9e\u8df5\u4e0a\u7684\u91cd\u8981\u7ec6\u8282\u3002\u6211\u4eec\u901a\u8fc7\u56fe\u4f8b\u7684\u65b9\u5f0f\u62bd\u8c61\u51fa\u4ee3\u7801\u8fd0\u884c\u7684\u8fc7\u7a0b\uff0c\u800c\u5177\u4f53\u4ee3\u7801\u53ef\u53c2\u8003\u6587\u4e2d\u7ed9\u51fa\u7684\u76f8\u5173\u94fe\u63a5<\/p>\n\n\n\n<h3 id=\"h_12871616401_13\">4.1 \u8bad\u7ec3\u5165\u53e3<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>ppo_ray\u76f8\u5173\u7684\u8bad\u7ec3\u5165\u53e3\u5728\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/cli\/train_ppo_ray.py\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/cli\/train_ppo_ray.py<\/a>\u3002<\/p><\/blockquote>\n\n\n\n<p><br>\u5728main\u4e2d\u6211\u4eec\u542f\u52a8\u4e86driver\u8fdb\u7a0b\uff0c\u5e76\u6267\u884c\u8bad\u7ec3\u51fd\u6570<code>train(args)<\/code>\uff0c\u8fd9\u91cc\u4e3b\u8981\u505a\u4e86\u5982\u4e0b\u51e0\u4ef6\u4e8b\uff1a<\/p>\n\n\n\n<ul><li><strong>\u5728ray\u96c6\u7fa4\u4e0a\u90e8\u7f72Actor\/Ref\/Critic\/RM\u5b9e\u4f8b<\/strong><\/li><li><strong>\u5728ray\u96c6\u7fa4\u4e0a\u90e8\u7f72vllm_engines\u5b9e\u4f8b<\/strong><\/li><li><strong>\u914d\u7f6eActor\u548cvllm_engines\u4e4b\u95f4\u7684\u901a\u8baf\uff0c\u7528\u4e8e\u4f20\u9012\u6743\u91cd<\/strong><\/li><li><strong>\u8bad\u7ec3Actor\u548cCritic\u6a21\u578b<\/strong><\/li><\/ul>\n\n\n\n<p>\u6211\u4eec\u4f9d\u6b21\u6765\u89e3\u8bfb\u8fd9\u51e0\u4e2a\u5173\u952e\u6b65\u9aa4\u3002<strong>\u540c\u65f6\u4e3a\u4e86\u5728\u8868\u8ff0\u4e0a\u6d88\u9664\u6b67\u4e49\uff0c\u6211\u4eec\u63a5\u4e0b\u6765\u8c08\u5230\u201cActor\u201d\u65f6\uff0c\u4f1a\u4f7f\u7528<a href=\"https:\/\/zhida.zhihu.com\/search?content_id=251597453&amp;content_type=Article&amp;match_order=1&amp;q=Ray-Actor&amp;zhida_source=entity\" target=\"_blank\" rel=\"noreferrer noopener\">Ray-Actor<\/a>\u548cPPO-Actor\u6765\u505a\u533a\u5206<\/strong>\uff0c\u4ece\u4e4b\u524d\u7684\u4ecb\u7ecd\u4e2d\u53ef\u77e5\uff0cRay-Actor\u662f\u6307\u90e8\u7f72\u5728Ray\u96c6\u7fa4\u4e2d\u7684\u8fdc\u7aefclass\uff0cPPO-Actor\/Ref\/Critic\/RM\u90fd\u5c5e\u4e8eRay-Actor\u3002<\/p>\n\n\n\n<h3 id=\"h_12871616401_14\">4.2 \u90e8\u7f72Actor\/Ref\/Critic\/RM\u5b9e\u4f8b<\/h3>\n\n\n\n<h3 id=\"h_12871616401_15\"><br>\uff081\uff09\u975e\u5171\u540c\u90e8\u7f72<\/h3>\n\n\n\n<p>\u9488\u5bf9\u56fe2.1\u7684\u60c5\u51b5\uff0c\u6211\u4eec\u4ee5PPO-Actor\u4e3a\u4f8b\uff0c\u770b\u4ee3\u7801\u662f\u5982\u4f55\u5c06\u5176\u90e8\u7f72\u5230Ray\u96c6\u7fa4\u4e0a\u7684\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/v2-a7445701e230850618a1a055ad9a8cec_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li><code>PPORayActorGroup<\/code>\uff1a<strong>\u521b\u5efa\u5728driver\u8fdb\u7a0b\u4e0a\uff0c\u53ef\u5c06\u5b83\u7406\u89e3\u6210\u4e00\u79cd\u90e8\u7f72\u65b9\u6848\uff0c\u4e13\u95e8\u8d1f\u8d23\u90e8\u7f72PPO\u4e2d\u76844\u7c7b\u6a21\u578b<\/strong>\u3002<ul><li><code>PPORayActorGroup<\/code>\u4e2d\u7ef4\u62a4\u7740<code>self._actor_handlers<\/code>\uff0c\u5b83\u662f\u4e00\u4e2a<code>List[ray.actor.ActorHandle]<\/code>\uff0c\u5217\u8868\u4e2d\u6bcf\u4e2a\u5143\u7d20\u8868\u793a\u67d0\u4e2a\u8fdc\u7aefRay-Actor\u7684\u5f15\u7528\uff0c\u800c\u8fd9\u4e2a\u8fdc\u7aefRay-Actor\u53ef\u4ee5\u662fPPO-Actor\/Ref\/Critic\/RM\u5b9e\u4f8b\u3002\u5982\u524d\u6587\u6240\u8bf4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728ray\u96c6\u7fa4\u4e2d\u7684\u4efb\u4f55\u4f4d\u7f6e\u8c03\u7528\u8fd9\u4e2ahandler\uff0c\u6765\u5bf9\u76f8\u5e94\u7684\u8fdc\u7aefRay-Actor\u6267\u884c\u64cd\u4f5c\u3002<\/li><li>\u5728\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e864\u4e2aRay-Actor\uff081\u4e2amaster-actor\uff0c3\u4e2aworker_actor\uff09\u3002\u6bcf\u4e2aRay-Actor\u90fd\u8fd0\u884c\u5728\u4e00\u4e2aworker\u8fdb\u7a0b\u4e2d\u3002\u5728\u521b\u5efaRay-Actor\u7684\u540c\u65f6\uff0c\u6211\u4eec\u4e5f\u4f1a\u53bb\u4fee\u6539worker\u8fdb\u7a0b\u7684\u73af\u5883\u53d8\u91cf\u3002\u540e\u7eed\u5f53\u6211\u4eec\u5728\u8fd9\u4e9bworker\u8fdb\u7a0b\u4e2d\u542f\u52a8ds_zero\u76f8\u5173\u7684\u5206\u5e03\u5f0f\u914d\u7f6e\u65f6\uff0cds\u4f1a\u8bfb\u53d6\u8fd9\u4e9b\u73af\u5883\u53d8\u91cf\u4fe1\u606f\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u77e5\u9053\u54ea\u4e9bRay-Actor\u540c\u65f6\u53c8\u6784\u6210ds\u4e2d\u7684\u6570\u636e\u5e76\u884c\u7ec4\u3002<\/li><li>\u4f7f\u7528<code>PPORayActorGroup<\/code>\u90e8\u7f72\u6a21\u578b\u5b9e\u4f8b\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/li><\/ul><\/li><\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>model = PPORayActorGroup(\n        <em># \u4e3a\u90e8\u7f72\u8be5\u6a21\u578b\u7684\u5168\u90e8\u5b9e\u4f8b\uff0c\u6211\u4eec\u60f3\u7528\u591a\u5c11\u53f0node\uff0c\u4f8b\u5982\u672c\u4f8b\u4e2d\u4e3a2<\/em>\n        args.actor_num_nodes,\n        <em># \u4e3a\u90e8\u7f72\u8be5\u6a21\u578b\u7684\u5168\u90e8\u5b9e\u4f8b\uff0c\u6211\u4eec\u6bcf\u53f0node\u4e0a\u60f3\u7528\u591a\u5c11gpu\uff0c\u4f8b\u5982\u672c\u4f8b\u4e2d\u4e3a2<\/em>\n        args.actor_num_gpus_per_node,\n        <em># Actor\/Critic\/Reward\/ReferenceRayActor<\/em>\n        ActorModelRayActor, \n        <em># pg\u53ef\u7406\u89e3\u4e3a\uff0c\u5728ray cluster\u4e2d\u9501\u5b9a\/\u9884\u7559\u4e00\u7247\u8d44\u6e90\uff0c\u7136\u540e\u53ea\u5728\u8fd9\u7247\u8d44\u6e90\u4e0a\u90e8\u7f72\u8be5\u6a21\u578b\u5168\u90e8\u5b9e\u4f8b\u3002<\/em>\n        <em># \uff08pg\u7ef4\u62a4\u5728Head Node\u7684GCS\u4e0a\uff0c\u53c2\u89c13.3\uff09<\/em>\n        <em># \u4f8b\u5982\u672c\u4f8b\u4e2d\uff0cpg\u9501\u5b9a\u7684\u8d44\u6e90\u4e3anode0 gpu0\/1, node1 gpu0\/1\uff0c<\/em>\n        <em># \u6211\u4eec\u53ea\u5728\u4e0a\u9762\u90e8\u7f72ActorModelRayActor\u5168\u90e8\u5b9e\u4f8b<\/em>\n        pg=pg,\n        <em># \u5f53\u6211\u4eec\u5728pg\u6307\u5411\u7684\u9884\u7559\u8d44\u6e90\u4e2d\u5206\u914d\u6a21\u578b\u5b9e\u4f8b\u65f6\uff0c\u518d\u8fdb\u4e00\u6b65\u6307\u5b9a\u6bcf\u4e2a\u5b9e\u4f8b\u5360\u636e\u4e00\u5f20gpu\u7684\u591a\u5c11\u90e8\u5206<\/em>\n        <em># \u7b49\u4e8e1\u8bf4\u660e\u6bcf\u4e2a\u5b9e\u4f8b\u5360\u6ee1\u4e00\u5f20gpu\uff0c\u5373\u201c\u975e\u5171\u540c\u90e8\u7f72\u201d<\/em>\n        <em># \u5c0f\u4e8e1\u8bf4\u660e\u6bcf\u4e2a\u5b9e\u4f8b\u53ea\u5360\u90e8\u5206gpu\uff0c\u5373\u201c\u5171\u540c\u90e8\u7f72\u201d\uff0c\u4f8b\u5982PPO-Actor\/Ref\u5171\u540c\u90e8\u7f72\u5728\u4e00\u5f20\u5361\u4e0a<\/em>\n        num_gpus_per_actor=0.75 if pg else 1,\n    )<\/code><\/pre>\n\n\n\n<ul><li><code>ActorModelRayActor<\/code>\uff1a<strong>\u521b\u5efa\u5728\u8fdc\u7aefworker\u8fdb\u7a0b\u4e0a\uff0c\u662fRay-Actor<\/strong>\u3002\u5b83\u5305\u542b\u4e86\u8bbe\u7f6eds_zero\u5206\u5e03\u5f0f\u73af\u5883\u3001\u52a0\u8f7d\u6a21\u578b\u6743\u91cd\u3001\u6570\u636e\u96c6\u51c6\u5907\u3001optimizer\/scheduler\u51c6\u5907\u3001\u8bad\u7ec3\u7b49\u4e00\u7cfb\u5217\u64cd\u4f5c\u3002<\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p><code>PPORayActorGroup<\/code>\u4ee3\u7801\u53c2\u89c1\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py%23L143\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py#L143<\/a><br><strong>\u6839\u636e\u8fd9\u4efd\u4ee3\u7801\uff0c\u5927\u5bb6\u53ef\u81ea\u884c\u53bb\u627eActor\/Critic\/Reward\/ReferenceRayActor\u7684\u76f8\u5173\u5b9e\u73b0\u3002<\/strong><\/p><\/blockquote>\n\n\n\n<h3 id=\"h_12871616401_16\">\uff082\uff09\u5171\u540c\u90e8\u7f72<\/h3>\n\n\n\n<p>\u9488\u5bf9\u56fe2.2\u7684\u60c5\u51b5\uff0c\u6211\u4eec\u4ee5PPO-Actor\u4e3a\u4f8b\uff0c\u770b\u4ee3\u7801\u662f\u5982\u4f55\u5c06\u5176\u90e8\u7f72\u5230Ray\u96c6\u7fa4\u4e0a\u7684\u3002<br><br><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/picx.zhimg.com\/v2-2a3d5edb43123bbc99bc04be7c634673_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li><code>PPORayActorGroup<\/code>\uff1a\u5728driver\u8fdb\u7a0b\u4e0a\u521b\u5efa2\u4e2a<code>PPORayActorGroup<\/code>\uff0c\u5206\u522b\u7ba1\u7406PPO-Actor\uff0cPPO-Ref\u7684\u90e8\u7f72<\/li><li>\u4f7f\u7528<code>actor_model = PPORayActorGroup(..., pg = pg, num_gpus_per_actor=0.75)<\/code>\u521b\u5efaPPO-Actor\u90e8\u7f72\u65b9\u6848\u5b9e\u4f8b\uff1b\u4f7f\u7528<code>ref_model = PPORayActorGroup(..., pg = pg, num_gpus_per_actor=0.25)<\/code>\u521b\u5efaPPO-Ref\u90e8\u7f72\u65b9\u6848\u5b9e\u4f8b<\/li><li>\u8fd9\u91cc\uff0c\u4e24\u4e2a\u65b9\u6848\u5b9e\u4f8b\u4f7f\u7528\u7684pg\u90fd\u662f\u540c\u4e00\u4e2a\uff0c\u5373\u8fd9\u4e2apg\u90fd\u6307\u5411\u201c1\u53f0node\uff0c\u6bcf\u53f0node 8\u5f20\u5361\u201d\u8fd9\u7247\u9884\u7559\u597d\u7684\u8d44\u6e90\u3002<\/li><li><strong><code>num_gpus_per_actor = 0.75\/0.25<\/code>\u662f\u4e00\u79cd\u521b\u5efatrick<\/strong>\uff0c\u867d\u7136\u6211\u4eec\u7684\u6700\u7ec8\u76ee\u7684\u662f\u4e3a\u4e86\u8ba9PPO-Actor\u548cPPO-Ref\u5bf9\u534a\u5206\u4e00\u5f20\u5361\uff08\u5bf9\u534a=\u5171\u4eab\uff0c\u4e0d\u662f\u6307\u663e\u5b58\u4e0a\u5bf9\u534a\u5206\uff09\uff0c\u4f46\u662f\uff1a<ul><li>\u5047\u8bbe\u8bbe\u7f6e\u4e3a0.5\uff0c\u5f53\u6211\u4eec\u5b9e\u9645\u90e8\u7f72<code>ActorModelRayActor<\/code>\u65f6\uff0cRay\u5148\u5728\u5355\u5361\u4e0a\u90e8\u7f721\u4e2a<code>ActorModelRayActor<\/code>\u5b9e\u4f8b\uff0c\u5f53\u5b83\u51c6\u5907\u90e8\u7f72\u7b2c\u4e8c\u4e2a<code>ActorModelRayActor<\/code>\u5b9e\u4f8b\u65f6\uff0c\u5b83\u53d1\u73b0\u7531\u4e8e\u6bcf\u4e2a\u5b9e\u4f8b\u53ea\u53600.5\u5757\u5361\uff0c\u56e0\u6b64\u5b8c\u5168\u53ef\u4ee5\u628a\u7b2c2\u4e2a\u5b9e\u4f8b\u63a5\u7740\u7b2c1\u4e2a\u5b9e\u4f8b\u5728\u540c\u4e00\u5f20\u5361\u4e0a\u90e8\u7f72\uff0c\u8fd9\u6837\u5c31\u5bfc\u81f4\u6700\u7ec8\u65e0\u6cd5\u8ba9PPO-Actor\u548cPPO-Ref\u5171\u4eab\u4e00\u5f20\u5361<\/li><li>\u5047\u8bbe\u8bbe\u7f6e0.75\uff0c\u5f53\u6211\u4eec\u5728\u5355\u5361\u4e0a\u90e8\u7f72\u5b8c1\u4e2a<code>ActorModelRayActor<\/code>\u5b9e\u4f8b\u540e\uff0cray\u53d1\u73b0\u5355\u5361\u5269\u4e0b\u7684\u7a7a\u95f4\u4e0d\u8db3\u4ee5\u90e8\u7f72\u7b2c2\u4e2a<code>ActorModelRayActor<\/code>\u5b9e\u4f8b\uff0c\u6240\u4ee5\u5c31\u4f1a\u628a\u7b2c\u4e8c\u4e2a\u5b9e\u4f8b\u90e8\u7f72\u5230\u522b\u7684\u5361\u4e0a\uff0c\u8fd9\u6837\u6700\u7ec8\u5b9e\u73b0PPO-Actor\u548cPPO-Ref\u5171\u4eab\u4e00\u5f20\u5361<\/li><li>\u6240\u4ee5\uff0c\u8fd9\u4e2a\u8bbe\u7f6e\u662f\u4e3a\u4e86\u8fbe\u5230\u4e0d\u540c\u7c7b\u578b\u6a21\u578b\u7684\u5b9e\u4f8b\u5171\u4eab\u4e00\u5f20\u5361\u7684\u76ee\u7684\uff0c\u800c\u5e76\u975e\u771f\u6b63\u6307\u6a21\u578b\u5b9e\u9645\u5360\u636e\u7684\u5355\u5361\u663e\u5b58\u7a7a\u95f4\u3002<\/li><\/ul><\/li><li>\u6700\u540e\uff0c\u5728\u8fd9\u4e00\u6b65\u4e2d\uff0c\u6211\u4eec\u5bf9\u5168\u90e8<code>ActorModelRayActor<\/code>\u5171\u521b\u5efa8\u4e2aworker\u8fdb\u7a0b\uff0c\u5bf9\u5168\u90e8<code>RefenreceModelRayActor<\/code>\u5171\u521b\u5efa8\u4e2aworker\u8fdb\u7a0b\uff0c\u4e00\u5171\u521b\u5efa16\u4e2a\u5de5\u4f5c\u8fdb\u7a0b\u3002<\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u76f8\u5173\u4ee3\u7801\u4f9d\u7136\u5728\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py%23L143\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/launcher.py#L143<\/a><\/p><\/blockquote>\n\n\n\n<h3 id=\"h_12871616401_17\">4.3 \u90e8\u7f72vllm_engines\u5b9e\u4f8b<br><br><\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-9d6723b6a49bd58460e4cf2d4973dee5_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li><code>create_vllm_engines<\/code>\uff1a\u5728driver\u7aef\uff0c\u6211\u4eec\u901a\u8fc7\u8fd0\u884c\u8be5\u51fd\u6570\u6765\u521b\u5efa<code>vllm_engines<\/code>\uff0c\u8fc7\u7a0b\u76f8\u4f3c\u4e8e4.2\u8282\u4e2d\u7684\u4ecb\u7ecd\uff0c\u4fe1\u606f\u90fd\u5728\u56fe\u4e2d\uff0c\u8fd9\u91cc\u4e0d\u8d58\u8ff0\u3002<\/li><li><code><a href=\"https:\/\/zhida.zhihu.com\/search?content_id=251597453&amp;content_type=Article&amp;match_order=1&amp;q=LLMRayActor&amp;zhida_source=entity\" target=\"_blank\" rel=\"noreferrer noopener\">LLMRayActor<\/a><\/code>\uff1aworker\u7aefRay-Actor\uff0c\u5b83\u4e3b\u8981\u662f\u628avllm\u5b9e\u4f8b\u8fdb\u884c\u4e86\u4e00\u4e9b\u5305\u88c5\uff0c\u5305\u88c5\u7684\u76ee\u7684\u662f\u4e3a\u4e86\u8ba9ds_rank0\u548call vllm ranks\u95f4\u53ef\u4ee5\u8fdb\u884cPPO-Actor\u7684\u6743\u91cd\u901a\u8baf\uff08\u53c2\u89c12.1\uff083\uff09\uff09<\/li><li>\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f1a\u521b\u5efa4\u4e2aworker\u8fdb\u7a0b\uff08\u4e0d\u5360gpu\u8d44\u6e90\uff0c\u53ea\u5360cpu\u8d44\u6e90\uff09\uff0c\u7528\u4e8e\u8fd0\u884c\u7ba1\u74064\u4e2avllm_engine\u3002<strong>\u5728\u6bcf\u4e2aworker\u8fdb\u7a0b\u5185\uff0cvllm\u5b9e\u4f8b\u8fd8\u4f1a\u521b\u5efa\u5c5e\u4e8e\u81ea\u5df1\u7684worker\u8fdb\u7a0b\u505a\u5206\u5e03\u5f0f\u8fd0\u884c<\/strong>\uff08\u8fd9\u4e9bworker\u8fdb\u7a0b\u4f1a\u5b9e\u9645\u5360\u636egpu\u8d44\u6e90\uff09\u3002<\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u76f8\u5173\u4ee3\u7801\u53c2\u89c1\uff1a<br><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_engine.py\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_engine.py<\/a><br><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py<\/a><\/p><\/blockquote>\n\n\n\n<h3 id=\"h_12871616401_18\"><br><br>4.4 ds_rank0\u4e0evllm_ranks\u4e4b\u95f4\u7684\u901a\u8baf<\/h3>\n\n\n\n<p>\u57282.2\u4e2d\uff0c\u6211\u4eec\u8bf4\u8fc7\uff0cPPO-Actor\u7684ds_rank0\u9700\u8981\u548call_vllm_ranks\u8fdb\u884c\u901a\u8baf\uff0c\u4f20\u9012\u6700\u65b0\u7684PPO-Actor\u6743\u91cd\uff0c\u4f8b\u5982\u4ee5\u4e0bds_rank0\u8981\u628a\u5b8c\u6574\u7684\u6743\u91cdbroadcast\u7ed916\u4e2avllm_ranks\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/picx.zhimg.com\/v2-6fe86bb652deb850279d513007e31079_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p><br>\u6211\u4eec\u5206\u6210\u5982\u4e0b\u51e0\u6b65\u5b9e\u73b0\u8fd9\u4e2a\u76ee\u6807\uff1a<\/p>\n\n\n\n<h3 id=\"h_12871616401_19\"><strong>\uff081\uff09\u521b\u5efa\u901a\u4fe1\u7ec4<\/strong><br><br><\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-9b59870d9f77273e7d89154b712b8ac5_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p><br><br><strong>Step1\uff1a<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u6765\u81ea\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py%23L58\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py#L58<\/a><br><strong>\u8fd9\u6bb5\u4ee3\u7801\u6267\u884c\u5728PPO-Actor0\uff08ds_rank0\uff09\u6240\u5728\u7684worker\u8fdb\u7a0b\u4e2d\u3002\u8fd9\u4e2aworker\u8fdb\u7a0b\u5c06\u901a\u8fc7handler\u5f15\u7528\uff0c\u89e6\u53d1\u8fdc\u7aef\u6bcf\u4e2avllm_engine\u4e0a\u7684init_process_group\u64cd\u4f5c\uff0c\u5e76\u5c06ds_rank0\u7eb3\u5165\u901a\u8baf\u7ec4<\/strong><\/p><\/blockquote>\n\n\n\n<pre class=\"wp-block-code\"><code>        <em># Create torch group with deepspeed rank 0 and all vllm ranks<\/em>\n        <em># to update vllm engine's weights after each training stage.<\/em>\n        <em>#<\/em>\n        <em># Say we have 3 vllm engines and eache of them has 4 GPUs,<\/em>\n        <em># then the torch group is:<\/em>\n        <em># &#091;    0,      1, 2, 3, 4,  5, 6, 7, 8,  9, 10, 11, 12]<\/em>\n        <em># |ds rank 0 |  engine-0  |  engine-1  |   engine-2   |<\/em>\n        <em>#<\/em>\n        <em># For ZeRO-1\/2:<\/em>\n        <em>#   1. Broadcast parameters from rank 0 to all vllm engines<\/em>\n        <em># For ZeRO-3:<\/em>\n        <em>#   1. AllGather paramters to rank 0<\/em>\n        <em>#   2. Broadcast parameters from rank 0 to all vllm engines<\/em>\n        if self.vllm_engines is not None and torch.distributed.get_rank() == 0:\n            ...\n            <em># world_size = num_of_all_vllm_ranks + 1 ds_rank0<\/em>\n            world_size = vllm_num_engines * vllm_tensor_parallel_size + 1\n            ...\n            <em># =====================================================================<\/em>\n            <em># \u904d\u5386\u6bcf\u4e2avllm_engines\uff0c\u5c06\u5176\u4e0b\u7684\u6bcf\u4e2avllm_rank\u6dfb\u52a0\u8fdb\u901a\u8baf\u7ec4\u4e2d\uff0c\u8fd9\u91cc\u53c8\u5206\u6210\u4e24\u6b65\uff1a<\/em>\n            <em># 1. engine.init_process_group.remote(...)\uff1a<\/em>\n            <em>#    \u9996\u5148\uff0c\u89e6\u53d1\u8fdc\u7a0bvllm_engine\u7684init_process_group\u65b9\u6cd5<\/em>\n            <em># 2. \u8fdc\u7a0bvllm_engine\u662f\u4e00\u4e2a\u5305\u88c5\u8fc7\u7684vllm\u5b9e\u4f8b\uff0c\u5b83\u7684init_process_group<\/em>\n            <em>#    \u65b9\u6cd5\u5c06\u8fdb\u4e00\u6b65\u89e6\u53d1\u8fd9\u4e2avllm\u5b9e\u4f8b\u4e0b\u7684\u5404\u4e2aworker\u8fdb\u7a0b\uff08\u89c14.4\u56fe\u4f8b\uff09\uff0c<\/em>\n            <em>#    \u6700\u7ec8\u662f\u5728\u8fd9\u4e9bworker\u8fdb\u7a0b\u4e0a\u6267\u884c\u201c\u5c06\u6bcf\u4e2avllm_rank\"\u6dfb\u52a0\u8fdbds_rank0\u901a\u8baf\u7ec4\u7684\u5de5\u4f5c<\/em>\n            <em># =====================================================================<\/em>\n            refs = &#091;\n                engine.init_process_group.remote(\n                    <em># ds_rank0\u6240\u5728node addr<\/em>\n                    master_address, \n                    <em># ds_rank0\u6240\u5728node port<\/em>\n                    master_port,\n                    <em># \u8be5vllm_engine\u7684\u7b2c\u4e00\u4e2arank\u5728\"ds_rank0 + all_vllm_ranks\u201c\u4e2d\u7684global_rank\uff0c<\/em>\n                    <em># \u8be5\u503c\u5c06\u4f5c\u4e3a\u4e00\u4e2aoffset\uff0c\u4ee5\u8be5\u503c\u4e3a\u8d77\u70b9\uff0c\u53ef\u4ee5\u63a8\u7b97\u51fa\u8be5vllm_engine\u4e2d\u5176\u4f59vllm_rank\u7684global_rank<\/em>\n                    i * vllm_tensor_parallel_size + 1, \n                    world_size,\n                    \"openrlhf\",\n                    backend=backend,\n                )\n                for i, engine in enumerate(self.vllm_engines)\n            ]\n            <em># =====================================================================<\/em>\n            <em># \u5c06ds_rank0\u6dfb\u52a0\u8fdb\u901a\u8baf\u7ec4\u4e2d<\/em>\n            <em># =====================================================================<\/em>\n            self._model_update_group = init_process_group(\n                backend=backend,\n                init_method=f\"tcp:\/\/{master_address}:{master_port}\",\n                world_size=world_size,\n                rank=0,\n                group_name=\"openrlhf\",\n            )\n            <em># =====================================================================<\/em>\n            <em># \u786e\u4fddall_vllm_ranks\u90fd\u5df2\u6dfb\u52a0\u8fdb\u901a\u8baf\u7ec4\u4e2d<\/em>\n            <em># =====================================================================<\/em>\n            ray.get(refs)<\/code><\/pre>\n\n\n\n<p><br><br><strong>Step2:<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u6765\u81ea\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py%23L11\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py#L11<\/a><br><strong>\u8fd9\u6bb5\u4ee3\u7801\u5b9e\u9645\u8fd0\u884c\u5728\u6bcf\u4e2avllm_engine\uff08\u5373\u6bcf\u4e2a\u5305\u88c5\u540e\u7684vllm\u5b9e\u4f8b\uff09\u4e0b\u7684worker\u8fdb\u7a0b\u5185\u3002\u4f8b\u5982tp_size=2\uff0c\u90a3\u4e48\u6bcf\u4e2avllm\u5b9e\u4f8b\u4e0b\u5c31\u67092\u4e2aworker\u8fdb\u7a0b\uff0c\u8fd9\u4e24\u4e2aworker\u8fdb\u7a0b\u90fd\u4f1a\u8fd0\u884c\u8fd9\u6bb5\u4ee3\u7801\u3002<\/strong><\/p><\/blockquote>\n\n\n\n<pre class=\"wp-block-code\"><code>class WorkerWrap(Worker):\n    def init_process_group(self, master_address, master_port, rank_offset, world_size, group_name, backend=\"nccl\"):\n        \"\"\"Init torch process group for model weights update\"\"\"\n        assert torch.distributed.is_initialized(), f\"default torch process group must be initialized\"\n        assert group_name != \"\", f\"group name must not be empty\"\n        <em># =====================================================================<\/em>\n        <em># torch.distributed.get_rank(): \u5728\u5f53\u524dvllm_engine\u5185\u90e8\u7684rank\uff0c<\/em>\n        <em>#                               \u4f8b\u5982\u5728tp_size = 2\u65f6\uff0c\u8fd9\u4e2a\u503c\u8981\u4e48\u662f0\uff0c\u8981\u4e48\u662f1<\/em>\n        <em># rank_offset\uff1a\u5f53\u524dvllm_engine\u4e2d\u7684\u7b2c\u4e00\u4e2arank\u5728\u201cds_rank0 + all_vllm_ranks\"\u4e2d\u7684global_rank<\/em>\n        <em># \u4e24\u8005\u76f8\u52a0\uff1a\u6700\u7ec8\u5f97\u5230\u5f53\u524drank\u5728\u201cds_rank0 + all_vllm_ranks\"\u4e2d\u7684global_rank<\/em>\n        <em># =====================================================================<\/em>\n        rank = torch.distributed.get_rank() + rank_offset\n        self._model_update_group = init_process_group(\n            backend=backend,\n            init_method=f\"tcp:\/\/{master_address}:{master_port}\",\n            world_size=world_size,\n            rank=rank,\n            group_name=group_name,\n        )\n        ...<\/code><\/pre>\n\n\n\n<h3 id=\"h_12871616401_20\"><br><br><br><strong>\uff082\uff09_broadcast_to_vllm<\/strong><\/h3>\n\n\n\n<p>\u6784\u5efa\u597d\u901a\u8baf\u7ec4\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u4eceds_rank0\u5e7f\u64adPPO-Actor\u6743\u91cd\u5230all_vllm_ranks\u4e0a\u4e86\uff0c\u8fd9\u91cc\u4e5f\u5206\u6210\u4e24\u6b65\u3002<br><br><br><strong>Step1\uff1aPPO-Actor ds_rank0\u53d1\u9001\u6743\u91cd<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u5728\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py%23L146\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py#L146<\/a><br><strong>\u8fd9\u6bb5\u4ee3\u7801\u8fd0\u884c\u5728ds_rank0\u5bf9\u5e94\u7684worker\u8fdb\u7a0b\u4e2d<\/strong><\/p><\/blockquote>\n\n\n\n<pre class=\"wp-block-code\"><code>      def _broadcast_to_vllm(self):\n        <em># avoid OOM<\/em>\n        torch.cuda.empty_cache()\n        model = self.actor.model.module\n        count, num_params = 0, len(list(model.named_parameters()))\n        for name, param in model.named_parameters():\n            count += 1  <em># empty_cache at last param<\/em>\n\n            <em># Fire all vllm engines for broadcast<\/em>\n            if torch.distributed.get_rank() == 0:\n                shape = param.shape if self.strategy.args.zero_stage != 3 else param.ds_shape\n                refs = &#091;\n                    <em># \u8fdc\u7aefvllm_engine\u7684\u6bcf\u4e2arank\u4e0a\uff0c\u521d\u59cb\u5316\u4e00\u4e2a\u5c3a\u5bf8\u4e3ashape\u7684empty weight\u5f20\u91cf\uff0c<\/em>\n                    <em># \u7528\u4e8e\u63a5\u6536\u5e7f\u64ad\u800c\u6765\u7684\u6743\u91cd<\/em>\n                    engine.update_weight.remote(name, dtype=param.dtype, shape=shape, empty_cache=count == num_params)\n                    for engine in self.vllm_engines\n                ]\n\n            <em># For ZeRO-3, allgather sharded parameter and broadcast to all vllm engines by rank 0<\/em>\n            <em># ds_rank0\u53d1\u51fa\u6743\u91cd\uff08\u89c6\u662f\u5426\u4f7f\u7528zero3\u51b3\u5b9a\u5728\u53d1\u51fa\u524d\u662f\u5426\u8981\u505aall-gather\uff09<\/em>\n            with deepspeed.zero.GatheredParameters(&#091;param], enabled=self.strategy.args.zero_stage == 3):\n                if torch.distributed.get_rank() == 0:\n                    torch.distributed.broadcast(param.data, 0, group=self._model_update_group)\n                    ray.get(refs) <em># \u786e\u4fdd\u6240\u6709vllm_ranks\u63a5\u6536\u6743\u91cd\u5b8c\u6bd5<\/em><\/code><\/pre>\n\n\n\n<p><br><br><br><strong>Step2: \u5404\u4e2avllm_ranks\u63a5\u6536\u6743\u91cd<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u5728\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py%23L29\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/vllm_worker_wrap.py#L29<\/a><br><strong>\u4ee3\u7801\u8fd0\u884c\u5728\u6bcf\u4e2avllm_engine(\u5373\u6bcf\u4e2a\u5305\u88c5\u540e\u7684vllm\u5b9e\u4f8b)\u4e0b\u7684\u5404\u4e2aworker\u8fdb\u7a0b\u4e2d<\/strong>\u3002\u4f8b\u5982tp_size = 2\uff0c\u90a3\u4e48\u6bcf\u4e2avllm\u5b9e\u4f8b\u4e0b\u67092\u4e2aworker\u8fdb\u7a0b\uff0c\u8fd92\u4e2aworker\u8fdb\u7a0b\u90fd\u4f1a\u8fd0\u884c\u8fd9\u6bb5\u4ee3\u7801\u3002<\/p><\/blockquote>\n\n\n\n<pre class=\"wp-block-code\"><code>    def update_weight(self, name, dtype, shape, empty_cache=False):\n        \"\"\"Broadcast weight to all vllm workers from source rank 0 (actor model)\"\"\"\n        if torch.distributed.get_rank() == 0:\n            print(f\"update weight: {name}, dtype: {dtype}, shape: {shape}\")\n\n        assert dtype == self.model_config.dtype, f\"mismatch dtype: src {dtype}, dst {self.model_config.dtype}\"\n        <em># \u521b\u5efa\u540c\u5c3a\u5bf8\u7a7a\u5f20\u91cf\u7528\u4e8e\u63a5\u6536ds_rank0\u5e7f\u64ad\u6765\u7684\u6743\u91cd<\/em>\n        weight = torch.empty(shape, dtype=dtype, device=\"cuda\")\n        <em># \u63a5\u6536\u6743\u91cd<\/em>\n        torch.distributed.broadcast(weight, 0, group=self._model_update_group)\n        <em># \u4f7f\u7528\u63a5\u6536\u5230\u7684\u6743\u91cd\u8fdb\u884c\u66f4\u65b0<\/em>\n        self.model_runner.model.load_weights(weights=&#091;(name, weight)])\n\n        del weight<\/code><\/pre>\n\n\n\n<h3 id=\"h_12871616401_21\"><br><br><br>4.5 PPO-Actor\/Critic Training<br><\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-033392dd9d6524b08efac6cc0362a30f_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p><br>\u6b63\u59822.1\uff084\uff09\u4e2d\u6240\u8bf4\uff0c\u6211\u4eec\u5c06\u90e8\u7f72\u5728ray\u96c6\u7fa4\u4e0a\u7684PPO-Actor\/Ref\/Critic\/RM\u5b9e\u4f8b\u4eec\u8fdb\u884c\u5206\u7ec4\uff0c\u6bcf\u7ec4\u5206\u522b\u8d1f\u8d23\u4e00\u4efdmicro-batch\u7684\u8bad\u7ec3\uff0c<strong>\u4e0a\u56fe\u523b\u753b\u4e86\u67d0\u4e2a\u7ec4\u5185\u7684\u8bad\u7ec3\u6d41\u7a0b\u3002\u4e00\u7ec4\u5185\u7684\u8bad\u7ec3\u6d41\u7a0b\u53d1\u8d77\u81eaPPO-Actor\u5b9e\u4f8b\uff08fit\u65b9\u6cd5\uff09\uff0c\u6ce8\u610f\u4e0d\u540c\u989c\u8272\u7684worker0\u8868\u793a\u7684\u662f\u4e0d\u540c\u5de5\u4f5c\u8fdb\u7a0b\u3002<\/strong>\u5171\u5206\u6210\u5982\u4e0b\u6b65\u9aa4\u6267\u884c\u3002<\/p>\n\n\n\n<p><br><strong>Step1\uff1a\u53d1\u9001prompts\uff0c\u5e76\u4ecevllm_engine\u4e0a\u6536\u96c6(prompt, response)\u3002<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u53c2\u89c1\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py%23L627\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py#L627<\/a><\/p><\/blockquote>\n\n\n\n<p><br><br><strong>Step2\uff1a\u4eceRef\/Reward\/Critic\u4e0a\u6536\u96c6\u5e76\u5904\u7406exps<\/strong>\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u53c2\u89c1\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py%23L492\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py#L492<\/a><\/p><\/blockquote>\n\n\n\n<p><br><br><strong>Step3: \u786e\u4fdd\u5c06\u5904\u7406\u540e\u7684exps\u4f20\u9001\u7ed9Critic\uff0c\u5e76\u884c\u6267\u884cActor\u548cCritic\u7684\u8bad\u7ec3<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u5c06exps\u4f20\u9001\u7ed9Critic\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py%23L470\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py#L470<\/a><br>Actor\u8bad\u7ec3\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py%23L125\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py#L125<\/a><br>Critic\u8bad\u7ec3\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py%23L122\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py#L122<\/a><br>\u6211\u4eec\u5728Actor\u5b9e\u4f8b\u6240\u5728\u7684worker\u8fdb\u7a0b\u4e0a\u51fa\u53d1Actor\u548cCritic\u7684\u8bad\u7ec3\u3002\u4ee5\u4e0a\u4ee3\u7801\u53ea\u7ed9\u51fa\u4e86\u8bad\u7ec3\u5165\u53e3\uff0c\u66f4\u591a\u7ec6\u8282\u9700\u8981\u987a\u7740\u5165\u53e3\u53bb\u9605\u8bfb\u3002<\/p><\/blockquote>\n\n\n\n<p><br><br><strong>Step4\uff1avllm_engine\u6743\u91cd\u66f4\u65b0\u3002<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u4ee3\u7801\u53c2\u89c1\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py%23L130\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ray\/ppo_actor.py#L130<\/a><\/p><\/blockquote>\n\n\n\n<h2 id=\"h_12871616401_22\">\u4e94\u3001RLHF-PPO\u7b97\u6cd5\u7ec6\u8282<\/h2>\n\n\n\n<p>\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u5df2\u5c06Ray\u5206\u5e03\u5f0f\u8bad\u7ec3\u90e8\u5206\u4ecb\u7ecd\u5b8c\u6bd5\u3002<strong>\u6709\u4e86\u5bf9\u5de5\u7a0b\u67b6\u6784\u7684\u8ba4\u8bc6\uff0c\u5f88\u591a\u670b\u53cb\u53ef\u80fd\u60f3\u8fdb\u4e00\u6b65\u63a2\u7d22\u7b97\u6cd5\u4e0a\u7684\u7ec6\u8282<\/strong>\uff1a\u4f8b\u5982\u57284.5\u56fe\u4f8b\u4e2d\uff0c\u6211\u4eec\u6536\u96c6\u7684\u662f\u4ec0\u4e48\u6837\u7684exps\uff1f\u53c8\u662f\u5982\u4f55\u5bf9PPO-Actor\/Critic\u8fdb\u884c\u66f4\u65b0\u7684\uff1f<\/p>\n\n\n\n<p>\u6211\u4eec\u77e5\u9053\u6574\u4e2aRLHF-PPO\u8bad\u7ec3\u8fc7\u7a0b\u5927\u81f4\u5206\u62102\u6b65\uff1a<\/p>\n\n\n\n<ul><li><strong>Stage1\uff1a\u6536\u96c6exps<\/strong><\/li><li><strong>Stage2\uff1a\u4f7f\u7528\u6536\u96c6\u5230\u7684exps\u8ba1\u7b97actor_loss\u548ccritic_loss\uff0c\u7528\u4e8e\u8bad\u7ec3actor\u548ccritic<\/strong><\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u5728OpenRLHF\u4e2d\u7684\u6838\u5fc3\u4ee3\u7801\u4e3a\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_trainer.py%23L19\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_trainer.py#L19<\/a><\/p><\/blockquote>\n\n\n\n<p>\u4e0b\u9762\u6211\u4eec\u5206\u522b\u89e3\u8bfb\u8fd92\u4e2astage\u7684\u8fc7\u7a0b<\/p>\n\n\n\n<h3 id=\"h_12871616401_23\">5.1 Stage1\uff1acollect exps<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pica.zhimg.com\/v2-34b1acd28f3434d3942dbe2538d60b02_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p><br>\u5047\u8bbe\u5927\u5bb6\u5df2\u8bfb\u8fc7\u4e0a\u8ff0\u8bf4\u7684\u3010\u4ee3\u7801\u7bc7\u3011\u548c\u3010\u7406\u8bba\u7bc7\u3011\uff0c\u90a3\u4e48\u5bf9\u8fd9\u5f20\u56fe\u7684\u5927\u90e8\u5206\u7ec6\u8282\u5e94\u8be5\u4e0d\u96be\u7406\u89e3\u3002<strong>\u8fd9\u91cc\u6211\u4eec\u5bf9\u4f18\u52bf\uff08\u5047\u8bbe\u9009\u62e9\u7684\u662fGAE\uff09\u518d\u505a\u4e00\u4e9b\u8865\u5145\u8bf4\u660e<\/strong>\u3002<br><br><br>\u5728\u7406\u8bba\u7bc78.3\uff082\uff09\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u8fc7GAE\u5b9a\u4e49\u548c\u4f7f\u7528\u5b83\u7684\u539f\u56e0\uff0c\u7b2ct\u6b65GAE\u7684\u5b9a\u4e49\u4e3a\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-38-1024x404.png\" alt=\"\" class=\"wp-image-27773\" width=\"629\" height=\"248\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-38-1024x404.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-38-300x118.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-38-768x303.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-38.png 1089w\" sizes=\"(max-width: 629px) 100vw, 629px\" \/><\/figure>\n\n\n\n<p>\u7531\u4e0a\u5f0f\u53ef\u77e5\uff0c\u5982\u679c\u6211\u4eec\u60f3\u8981\u8ba1\u7b97\u51fa\u6bcf\u4e2at\u65f6\u523b\u7684GAE\uff0c\u6211<strong>\u4eec\u9700\u8981\u4ece\u5934\u5230\u5c3e\u904d\u53862\u6b21\u5e8f\u5217\uff1a\u7b2c1\u6b21\u8ba1\u7b97<\/strong>\u00a0\u03b4t\u00a0<strong>\uff1b\u7b2c2\u6b21\u8ba1\u7b97<\/strong>\u00a0At\u00a0<strong>\u3002\u6211\u4eec\u671f\u671b\u5c3d\u53ef\u80fd\u51cf\u5c11\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u4ec5\u57281\u6b21\u904d\u5386\u4e2d\u540c\u65f6\u8ba1\u7b97\u51fa<\/strong>\u00a0\u03b4t,At\u00a0<strong>\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u6309\u5982\u4e0b\u6b65\u9aa4\u6539\u5199<\/strong>\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-39-1024x255.png\" alt=\"\" class=\"wp-image-27776\" width=\"621\" height=\"154\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-39-1024x255.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-39-300x75.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-39-768x191.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/07\/image-39.png 1042w\" sizes=\"(max-width: 621px) 100vw, 621px\" \/><\/figure>\n\n\n\n<p>\u5728OpenRLHF\u4e2d\uff0c\u8fd8\u8bbe\u8ba1\u5230\u201cadvantage norm\u201d\uff0c\u201creward clip &amp; norm\u201d\u7b49\u7ec6\u8282\u64cd\u4f5c\uff0c\u7bc7\u5e45\u9650\u5236\u4e0d\u5c55\u5f00\uff0c\u5927\u5bb6\u53ef\u4ee5\u81ea\u884c\u9605\u8bfb\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u6838\u5fc3\u4ee3\u7801\u5728\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/OpenRLHF\/OpenRLHF\/blob\/bb46342711a203c457df2fbca5967fd0549557e0\/openrlhf\/trainer\/ppo_utils\/experience_maker.py<\/a><\/p><\/blockquote>\n\n\n\n<h3 id=\"h_12871616401_24\">5.1 Stage2\uff1aTraining<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/v2-79624b7730863a933d1fe81caadd7504_1440w.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u5927\u5bb6\u53ef\u4ee5\u5bf9\u7167\u7406\u8bba\u7bc78.5\u548c8.6\u8282\u5bf9actor_loss\u548ccritic_loss\u7684\u4ecb\u7ecd\u6765\u7406\u89e3\u4e0a\u9762\u7684\u6d41\u7a0b\u56fe\uff5e\u53e6\u5916\uff0cybq\u4f6c\u5199\u8fc7\u4e00\u7bc7\u5bf9OpenRLHF\u4e2d\u7684loss\u5206\u6790\uff0c\u4e5f\u53ef\u4ee5\u5bf9\u7167\u9605\u8bfb\uff1a<a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/zhuanlan.zhihu.com\/p\/6290579087\">ybq\uff1aOpenRLHF\u5b66\u4e60\u7b14\u8bb0-loss\u7bc7<\/a><\/p>\n\n\n\n<h2 id=\"h_12871616401_25\">\u516d\u3001\u53c2\u8003<\/h2>\n\n\n\n<p>1\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenRLHF\/OpenRLHF\" target=\"_blank\">OpenRLHF<\/a><br>2\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/docs.ray.io\/en\/latest\/index.html\" target=\"_blank\">Ray official document<\/a><br>3\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/docs.google.com\/document\/d\/1tBw9A4j62ruI5omIJbMxly-la5w4q_TjyJgJL_jN2fI\/preview%3Ftab%3Dt.0%23heading%3Dh.iyrm5j2gcdoq\" target=\"_blank\">Ray official architecture whitepaper<\/a>(\u8981\u68af\u5b50\uff0c\u5efa\u8bae\u60f3\u770bray\u67b6\u6784\u7684\u670b\u53cb\uff0c\u76f4\u63a5\u770b\u8fd9\u4e2a\u6700\u65b0\u7684\u5b98\u65b9\u767d\u76ae\u4e66\uff0c\u4e0d\u8981\u770b2018\u5e74\u7684\u90a3\u7bc7paper\u4e86\uff0c\u90a3\u4e2a\u6bd4\u8f83\u8001\u4e86)<br>4\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/towardsdatascience.com\/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray-99f8d70369b8\" target=\"_blank\">\u63a8\u8350\u4e00\u7bc7\u5feb\u901f\u4e86\u89e3Ray \u5e94\u7528\u5c42\u6838\u5fc3\u6982\u5ff5\u7684blog<\/a>\uff08\u8981\u68af\u5b50\uff09<br>5\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/ray-project\/ray\" target=\"_blank\">Ray<\/a><br>6\u3001<a rel=\"noreferrer noopener\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/vllm-project\/vllm\" target=\"_blank\">vllm<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6458\u81ea\uff1a\u56fe\u89e3OpenRLHF\u4e2d\u57fa\u4e8eRay\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u6d41\u7a0b \u672c\u6587\u7740\u91cd\u5206\u6790OpenRLHF\u4e2d\u7684PPO-Ray\u8bad\u7ec3\u67b6\u6784 &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2025\/07\/20\/openrlhf-ray\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u56fe\u89e3OpenRLHF\u4e2d\u57fa\u4e8eRay\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u6d41\u7a0b<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[42,4,39,38],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/27737"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=27737"}],"version-history":[{"count":14,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/27737\/revisions"}],"predecessor-version":[{"id":27778,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/27737\/revisions\/27778"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=27737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=27737"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=27737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}