{"id":89828,"date":"2024-11-19T15:09:25","date_gmt":"2024-11-19T07:09:25","guid":{"rendered":"https:\/\/www.ioiotimes.com\/?p=89828"},"modified":"2024-11-19T15:09:26","modified_gmt":"2024-11-19T07:09:26","slug":"nvidia%e7%99%bc%e5%b8%83cupynumeric%ef%bc%8c%e8%ae%93%e7%a7%91%e5%ad%b8%e5%ae%b6%e5%8f%af%e4%bb%a5%e5%8f%a2%e9%9b%86%e8%a6%8f%e6%a8%a1%e5%88%a9%e7%94%a8gpu%e5%8a%a0%e9%80%9f","status":"publish","type":"post","link":"https:\/\/www.ioiotimes.com\/?p=89828","title":{"rendered":"NVIDIA\u767c\u5e03cuPyNumeric\uff0c\u8b93\u79d1\u5b78\u5bb6\u53ef\u4ee5\u53e2\u96c6\u898f\u6a21\u5229\u7528GPU\u52a0\u901f"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">\u6b64\u52a0\u901f\u904b\u7b97\u51fd\u5f0f\u5eab\u53ef\u5354\u52a9\u7814\u7a76\u4eba\u54e1\u5728\u4e0d\u4fee\u6539Python\u7a0b\u5f0f\u78bc\u7684\u60c5\u6cc1\u4e0b\uff0c\u5b8c\u7f8e\u8de8\u8db3\u81f3\u529f\u80fd\u5f37\u5927\u7684\u904b\u7b97\u53e2\u96c6\uff0c\u9032\u800c\u63a8\u52d5\u79d1\u5b78\u767c\u73fe<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"680\" src=\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2024\/11\/20241119-nvidia15.png\" alt=\"\" class=\"wp-image-89829\" title=\"\" srcset=\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2024\/11\/20241119-nvidia15.png 1280w, https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2024\/11\/20241119-nvidia15-300x159.png 300w, https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2024\/11\/20241119-nvidia15-1024x544.png 1024w, https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2024\/11\/20241119-nvidia15-768x408.png 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" 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\u7a0b\u5f0f\u78bc\uff0c\u6beb\u4e0d\u8cbb\u529b\u5730\u5728\u642d\u8f09 CPU \u7684\u7b46\u8a18\u578b\u96fb\u8166\u3001GPU \u52a0\u901f\u5de5\u4f5c\u7ad9\u3001\u96f2\u7aef\u4f3a\u670d\u5668\u6216\u5927\u578b\u8d85\u7d1a\u96fb\u8166\u4e0a\u904b\u884c\u3002\u7576\u4ed6\u5011\u8655\u7406\u8cc7\u6599\u7684\u901f\u5ea6\u8d8a\u5feb\uff0c\u5c31\u80fd\u8d8a\u5feb\u91dd\u5c0d\u6709\u767c\u5c55\u6f5b\u529b\u7684\u8cc7\u6599\u9ede\u3001\u503c\u5f97\u7814\u7a76\u7684\u8da8\u52e2\u505a\u51fa\u6c7a\u5b9a\uff0c\u4ee5\u8abf\u6574\u5be6\u9a57\u5167\u5bb9\u548c\u8d70\u5411\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u4eba\u54e1\u7121\u9700\u5177\u5099\u96fb\u8166\u79d1\u5b78\u65b9\u9762\u7684\u5c08\u696d\u77e5\u8b58\uff0c\u4fbf\u80fd\u8b93\u52a0\u901f\u904b\u7b97\u6280\u8853\u5927\u5e45\u98db\u8e8d\u3002\u4ed6\u5011\u53ea\u8981\u4f7f\u7528\u719f\u6089\u7684 NumPy \u4ecb\u9762\u7de8\u5beb\u7a0b\u5f0f\u78bc\uff0c\u6216\u662f\u628a cuPyNumeric \u7528\u65bc\u73fe\u6709\u7684\u7a0b\u5f0f\u78bc\uff0c\u4e26\u4e14\u6309\u7167\u6700\u4f73\u505a\u6cd5\uff0c\u5c31\u80fd\u7372\u5f97\u6700\u4f73\u7684\u57f7\u884c\u6548\u80fd\u8207\u64f4\u5145\u6027\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u4eba\u54e1\u4e00\u65e6\u7528\u4e0a\u4e86 cuPyNumeric\uff0c\u7121\u9700\u9032\u884c\u4efb\u4f55\u66f4\u52d5\uff0c\u4fbf\u53ef\u4ee5\u5728\u55ae\u4e00\u500b\u6216\u6578\u5343\u500b GPU \u4e0a\u904b\u884c\u4ed6\u5011\u7684\u7a0b\u5f0f\u78bc\u3002<\/p>\n\n\n\n<p>\u73fe\u5df2\u5728 Conda \u548c GitHub \u4e0a\u958b\u653e\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684 cuPyNumeric\uff0c\u652f\u63f4 <a href=\"https:\/\/www.nvidia.com\/zh-tw\/data-center\/grace-hopper-superchip\/?srsltid=AfmBOoqrUQn5GMKlYL0qhv765mp-NgwnSI9b0oZA-j00WuUiZEeu-Zpx\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA GH200 Grace Hopper \u8d85\u7d1a\u6676\u7247<\/a>\u3001\u904b\u884c\u6642\u81ea\u52d5\u914d\u7f6e\u8cc7\u6e90\uff0c\u9084\u6709\u66f4\u68d2\u7684\u8a18\u61b6\u9ad4\u64f4\u5145\u529f\u80fd\u3002\u5b83\u9084\u652f\u63f4\u79d1\u5b78\u9818\u57df\u5341\u5206\u611b\u7528\u7684 HDF5 \u6a94\u6848\u683c\u5f0f\uff0c\u6709\u52a9\u65bc\u6709\u6548\u7ba1\u7406\u5927\u578b\u8907\u96dc\u8cc7\u6599\u3002<\/p>\n\n\n\n<p>\u7f8e\u570b SLAC \u570b\u5bb6\u52a0\u901f\u5668\u5be6\u9a57\u5ba4\u3001\u7f8e\u570b\u6d1b\u65af\u963f\u62c9\u83ab\u65af\u570b\u5bb6\u5be6\u9a57\u5ba4\u3001\u6fb3\u6d32\u570b\u7acb\u5927\u5b78\u3001\u7f8e\u570b\u9ebb\u5dde\u5927\u5b78\u6ce2\u58eb\u9813\u5206\u6821\u3001\u53f2\u4e39\u798f\u5927\u5b78\u6e4d\u6d41\u7814\u7a76\u4e2d\u5fc3\u8207\u5370\u5ea6\u570b\u5bb6\u652f\u4ed8\u516c\u53f8\uff08National Payments Corporation of India\uff09\u7b49\u6a5f\u69cb\u7684\u7814\u7a76\u4eba\u54e1\u5df2\u6574\u5408 cuPyNumeric\uff0c\u5927\u5e45\u6539\u5584\u5176\u8cc7\u6599\u5206\u6790\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u5c11\u5373\u662f\u591a\uff1a\u4e0d\u7528\u4fee\u6539\u7a0b\u5f0f\u78bc\u5c31\u80fd\u7121\u9650\u64f4\u5145GPU<\/strong><\/h3>\n\n\n\n<p>\u8cc7\u6599\u79d1\u5b78\u3001\u6a5f\u5668\u5b78\u7fd2\u548c\u6578\u503c\u904b\u7b97\u7b49\u9818\u57df\u6700\u5e38\u4f7f\u7528 Python \u7a0b\u5f0f\u8a9e\u8a00\uff0c\u5728\u5929\u6587\u5b78\u3001\u85e5\u7269\u767c\u73fe\u3001\u6750\u6599\u79d1\u5b78\u548c\u6838\u7269\u7406\u5b78\u7b49\u79d1\u5b78\u9818\u57df\u4e2d\uff0c\u6709\u6578\u767e\u842c\u540d\u7814\u7a76\u4eba\u54e1\u4f7f\u7528 Python\u3002GitHub \u4e0a\u6709\u4e0a\u842c\u500b\u5957\u4ef6\u4f9d\u8cf4 <a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">NumPy<\/a> \u6578\u5b78\u8207\u77e9\u9663\u51fd\u5f0f\u5eab\uff0c<a href=\"https:\/\/pypistats.org\/packages\/numpy\" target=\"_blank\" rel=\"noreferrer noopener\">\u4e0a\u500b\u6708\u7684\u4e0b\u8f09\u91cf\u5df2\u8d85\u904e\u4e09\u5104\u6b21<\/a>\u3002cuPyNumeric \u7684\u52a0\u901f\u904b\u7b97\u6280\u8853\u53ef\u4ee5\u52a0\u60e0\u9019\u4e9b\u61c9\u7528\u3002<\/p>\n\n\n\n<p>\u5176\u4e2d\u8a31\u591a\u79d1\u5b78\u5bb6\u6240\u5efa\u7acb\u7684\u7a0b\u5f0f\u90fd\u4f7f\u7528 NumPy\uff0c\u4e14\u53ea\u5728\u55ae\u4e00 CPU \u7bc0\u9ede\u4e0a\u904b\u884c\u3002\u9019\u9650\u5236\u4e86\u6f14\u7b97\u6cd5\u7684\u8f38\u9001\u91cf\uff0c\u7121\u6cd5\u5c0d\u96fb\u5b50\u986f\u5fae\u93e1\u3001\u7c92\u5b50\u5c0d\u649e\u6a5f\u53ca\u96fb\u6ce2\u671b\u9060\u93e1\u7b49\u5100\u5668\u6240\u6536\u96c6\u65e5\u76ca\u9f90\u5927\u7684\u8cc7\u6599\u96c6\u9032\u884c\u5206\u6790\u3002<\/p>\n\n\n\n<p>cuPyNumeric \u63d0\u4f9b\u4e00\u500b\u76f4\u63a5\u53d6\u4ee3 NumPy \u7684\u5143\u4ef6\uff0c\u53ef\u4ee5\u5c07\u904b\u884c\u898f\u6a21\u64f4\u5927\u5230\u6578\u5343\u500b GPU\uff0c\u5e6b\u52a9\u7814\u7a76\u4eba\u54e1\u8ddf\u4e0a\u5176\u8cc7\u6599\u96c6\u4e0d\u65b7\u589e\u52a0\u7684\u898f\u6a21\u8207\u8907\u96dc\u6027\u3002\u5f9e\u55ae\u4e00 GPU \u64f4\u5927\u5230\u6574\u500b\u8d85\u7d1a\u96fb\u8166\u6642\uff0ccuPyNumeric \u4e0d\u9700\u8981\u4fee\u6539\u7a0b\u5f0f\u78bc\u3002\u9019\u8b93\u7814\u7a76\u4eba\u54e1\u53ef\u4ee5\u8f15\u9b06\u5728\u4efb\u4f55\u898f\u6a21\u7684\u52a0\u901f\u904b\u7b97\u7cfb\u7d71\u4e0a\u57f7\u884c\u5206\u6790\u4f5c\u696d\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u89e3\u6c7a\u5927\u6578\u64da\u554f\u984c\uff0c\u52a0\u901f\u79d1\u5b78\u767c\u73fe<\/strong><\/h3>\n\n\n\n<p>SLAC \u570b\u5bb6\u52a0\u901f\u5668\u5be6\u9a57\u5ba4\u662f\u7f8e\u570b\u80fd\u6e90\u90e8\u7684\u5be6\u9a57\u5ba4\uff0c\u7531\u53f2\u4e39\u4f5b\u5927\u5b78\u8ca0\u8cac\u71df\u904b\uff0c\u5176\u7814\u7a76\u4eba\u54e1\u767c\u73fe cuPyNumeric \u53ef\u4ee5\u5e6b\u52a9\u4ed6\u5011\u52a0\u5feb\u5728<a href=\"https:\/\/lcls.slac.stanford.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u76f4\u7dda\u52a0\u901f\u5668\u540c\u8abf\u5149\u6e90\uff08Linac Coherent Light Source\uff09<\/a>\u4e0a\u9032\u884c\u7684 X \u5c04\u7dda\u5be6\u9a57\u3002<\/p>\n\n\n\n<p>\u4e00\u652f\u5c08\u6ce8\u65bc\u534a\u5c0e\u9ad4\u6750\u6599\u79d1\u5b78\u767c\u73fe\u7684 SLAC \u5718\u968a\uff0c\u767c\u73fe cuPyNumeric \u5c07\u5176\u8cc7\u6599\u5206\u6790\u61c9\u7528\u52a0\u5feb\u4e86\u516d\u500d\uff0c\u628a\u904b\u884c\u6642\u9593\u5f9e\u6578\u5206\u9418\u7e2e\u77ed\u5230\u6578\u79d2\u3002\u9019\u500b\u52a0\u901f\u60c5\u6cc1\u8b93\u8a72\u5718\u968a\u5728\u9019\u500b\u9ad8\u5ea6\u5c08\u696d\u7684\u8a2d\u65bd\u9032\u884c\u5be6\u9a57\u6642\uff0c\u53ef\u4ee5\u5e73\u884c\u904b\u884c\u91cd\u8981\u7684\u5206\u6790\u4f5c\u696d\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5718\u968a\u5f97\u4ee5\u66f4\u6709\u6548\u7387\u5730\u5229\u7528\u5be6\u9a57\u6642\u9593\uff0c\u9810\u671f\u5c07\u80fd\u5920\u66f4\u5feb\u767c\u73fe\u65b0\u7684\u6750\u6599\u7279\u6027\u3001\u5206\u4eab\u7d50\u679c\u8207\u767c\u8868\u7814\u7a76\u6210\u679c\u3002<\/p>\n\n\n\n<p>\u5176\u4ed6\u4f7f\u7528 cuPyNumeric \u7684\u6a5f\u69cb\u6709\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6fb3\u6d32\u570b\u7acb\u5927\u5b78\uff0c\u8a72\u6821\u7684\u7814\u7a76\u4eba\u54e1\u4f7f\u7528 cuPyNumeric \u64f4\u5927 Levenberg-Marquardt 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\u8d85\u7d1a\u96fb\u8166\uff0c\u9019\u53f0\u8d85\u7d1a\u96fb\u8166\u642d\u8f09\u8d85\u904e 2,500 \u9846 NVIDIA GH200 Grace Hopper \u8d85\u7d1a\u6676\u7247\u3002<\/li>\n\n\n\n<li>\u53f2\u4e39\u4f5b\u5927\u5b78<strong>\u6e4d\u6d41\u7814\u7a76\u4e2d\u5fc3<\/strong>\uff0c\u8a72\u4e2d\u5fc3\u7684\u7814\u7a76\u4eba\u54e1\u6b63\u5728\u958b\u767c\u57fa\u65bc Python \u7684\u904b\u7b97\u6d41\u9ad4\u52d5\u529b\u6c42\u89e3\u5668\uff0c\u9019\u6b3e\u6c42\u89e3\u5668\u53ef\u5229\u7528 cuPyNumeric \u5728\u5927\u578b\u52a0\u901f\u904b\u7b97\u53e2\u96c6\u4e0a\u5927\u898f\u6a21\u904b\u884c\u3002\u9019\u4e9b\u6c42\u89e3\u5668\u53ef\u4ee5\u5c07\u591a\u7a2e\u6db2\u9ad4\u6a21\u64ec\u8207PyTorch \u7b49\u4e3b\u6d41\u6a5f\u5668\u5b78\u7fd2\u5eab\u7121\u7e2b\u6574\u5408\uff0c\u505a\u5230\u5305\u62ec\u7dda\u4e0a\u8a13\u7df4\u548c\u5f37\u5316\u5b78\u7fd2\u5728\u5167\u7684\u8907\u96dc\u61c9\u7528\u9805\u76ee\u3002<\/li>\n\n\n\n<li>\u9ebb\u5dde\u5927\u5b78\u6ce2\u58eb\u9813\u5206\u6821\uff0c\u8a72\u6821\u7684\u7814\u7a76\u5718\u968a\u52a0\u5feb\u7dda\u6027\u4ee3\u6578\u8a08\u7b97\u7684\u901f\u5ea6\uff0c\u4ee5\u5206\u6790\u986f\u5fae\u93e1\u8996\u8a0a\uff0c\u4e26\u4e14\u5224\u65b7\u6d3b\u6027\u6750\u6599\u8017\u6563\u7684\u80fd\u91cf\u3002\u7814\u7a76\u5718\u968a\u4f7f\u7528 cuPyNumeric \u4f86\u5206\u89e3\u6709\u8457 1,600 \u842c\u5217\u30014,000 \u884c\u8cc7\u6599\u7684\u77e9\u9663\u3002<\/li>\n\n\n\n<li>\u6bcf\u5929\u7d04\u6709 2.5 \u5104\u5370\u5ea6\u4eba\u4f7f\u7528<strong>\u5370\u5ea6\u570b\u5bb6\u652f\u4ed8\u516c\u53f8<\/strong>\u63d0\u4f9b\u7684\u5373\u6642\u6578\u4f4d\u652f\u4ed8\u7cfb\u7d71\uff0c\u4e14\u9019\u500b\u7cfb\u7d71\u6b63\u5728\u9081\u5411\u5168\u7403\u5e02\u5834\u3002NPCI \u4f7f\u7528\u8907\u96dc\u7684\u77e9\u9663\u8a08\u7b97\u6280\u8853\u4f86\u8ffd\u8e64\u4ed8\u6b3e\u4eba\u8207\u6536\u6b3e\u4eba\u4e4b\u9593\u7684\u4ea4\u6613\u8def\u5f91\u3002\u4f7f\u7528\u76ee\u524d\u7684\u65b9\u6cd5\uff0c\u5728 CPU \u7cfb\u7d71\u4e0a\u8655\u7406\u4e00\u9031\u4ea4\u6613\u671f\u9593\u7684\u8cc7\u6599\u5927\u7d04\u9700\u8981\u4e94\u5c0f\u6642\u3002\u800c\u4e00\u9805\u8a66\u9a57\u986f\u793a\uff0c\u5728\u591a\u7bc0\u9ede <a href=\"https:\/\/www.nvidia.com\/zh-tw\/data-center\/dgx-platform\/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA DGX<\/a> \u7cfb\u7d71\u4e0a\u4f7f\u7528 cuPyNumeric \u4f86\u52a0\u5feb\u8a08\u7b97\u901f\u5ea6\uff0c\u53ef\u4ee5\u5c07\u77e9\u9663\u4e58\u6cd5\u7684\u901f\u5ea6\u63d0\u9ad8 50 \u500d\uff0c\u8b93 NPCI \u5728\u4e00\u5c0f\u6642\u5167\u53ef\u4ee5\u8655\u7406\u66f4\u5927\u7684\u4ea4\u6613\u8996\u7a97\uff0c\u5728\u63a5\u8fd1\u5373\u6642\u7684\u60c5\u6cc1\u4e0b\u5075\u6e2c\u53ef\u7591\u7684\u6d17\u9322\u6d3b\u52d5\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u5982\u8981\u9032\u4e00\u6b65\u77ad\u89e3 cuPyNumeric\uff0c\u6b61\u8fce\u524d\u5f80\u5728\u4e9e\u7279\u862d\u5927\u8209\u884c\u7684 <a href=\"https:\/\/www.nvidia.com\/zh-tw\/events\/supercomputing\/?srsltid=AfmBOoosUwbNk4vUO_xaXF7Cc57yrUx_XmQuBNV324iojdsIxD770XDU\" target=\"_blank\" rel=\"noreferrer noopener\">SC24 \u8d85\u7d1a\u904b\u7b97\u5927\u6703<\/a>\uff0cNVIDIA \u5c55\u4f4d\u5c07\u6709\u73fe\u5834\u5c55\u793a\u6d3b\u52d5\uff0c\u4e5f\u6b61\u8fce\u53c3\u52a0\u5c55\u6703\u5927\u5ef3\u7684\u5287\u5834\u8b1b\u5ea7\u548c <a href=\"https:\/\/sc24.conference-program.com\/presentation\/?id=ws_hppss106&amp;sess=sess761\" target=\"_blank\" rel=\"noreferrer noopener\">cuPyNumeric \u7814\u8a0e\u6703<\/a> \u3002 \u00a0<\/p>\n\n\n\n<p>\u6b61\u8fce\u89c0\u770b <a href=\"https:\/\/www.nvidia.com\/en-us\/events\/supercomputing\/?srsltid=AfmBOoosUwbNk4vUO_xaXF7Cc57yrUx_XmQuBNV324iojdsIxD770XDU\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA\u5728SC24\u7684\u7279\u5225\u6f14\u8b1b<\/a>\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>\u25bcNVIDIA SC24 Special Address<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"NVIDIA SC24 Special Address\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/eKzNKxWUeCE?start=2&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>\u3000\u3000\u3000\u3000<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\">\ud83d\udfe6<strong><a href=\"https:\/\/www.ioiotimes.com\/?p=85329\" data-type=\"link\" data-id=\"https:\/\/www.ioiotimes.com\/?p=85329\" target=\"_blank\" rel=\"noreferrer noopener\">\u770bioioTIEMS \u5b78\u96d911\u63a1\u8cfc\u6280\u5de7 \u6436\u62ff\u8d85\u7d1a\u597d\u79ae!<\/a><\/strong><br>\ud83d\udfe6\u73fe\u5728\u5c31\u52a0\u5165&nbsp;ioioTIMES \u81c9\u66f8\u7c89\u7d72\u5718&nbsp;\u66f4\u591a\u4e92\u52d5\u3001\u66f4\u591a\u597d\u5eb7\u650f\u62b5\u52a0!!<br>\ud83d\udfe6<strong>\u6211\u5011\u6709<a href=\"https:\/\/today.line.me\/tw\/v2\/publisher\/103117\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">LINE TODAY<\/a>\u983b\u9053\u4e86\uff0c\u5feb\u4f86\u8ffd\u8e2a\u6211\u5011\u5427!!&#8211;\u6700\u65b0\u79d1\u6280\u65b0\u805e 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