{"id":279168,"date":"2024-05-16T16:15:43","date_gmt":"2024-05-16T08:15:43","guid":{"rendered":""},"modified":"2024-05-16T16:16:01","modified_gmt":"2024-05-16T08:16:01","slug":"mlsys-%e5%92%8c-ai%e7%bc%96%e8%af%91%e5%99%a8-tvm-%e4%bb%80%e4%b9%88%e5%85%b3%e7%b3%bb","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/279168.html","title":{"rendered":"MLSys \u548c AI\u7f16\u8bd1\u5668 TVM \u4ec0\u4e48\u5173\u7cfb"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25202445\/9fedad0e-a126-4e97-a046-ef5014572a0b.webp\" alt=\"MLSys \u548c AI\u7f16\u8bd1\u5668 TVM \u4ec0\u4e48\u5173\u7cfb\" \/><\/p>\n<p><p><strong>MLSys\u4e0e<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>\u7f16\u8bd1\u5668TVM\u5b58\u5728\u7d27\u5bc6\u7684\u5173\u8054\u5173\u7cfb<\/strong>\u3002MLSys\uff08Machine Learning Systems\uff09\u662f\u4e00\u4e2a\u5173\u6ce8\u4e8e<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7cfb\u7edf\u8bbe\u8ba1\u548c\u5b9e\u73b0\u7684\u9886\u57df\uff0c\u800cTVM\u4f5c\u4e3a\u4e00\u4e2a\u5f00\u6e90\u7684AI\u7f16\u8bd1\u5668\u5806\u6808\uff0c\u5b83\u4e13\u6ce8\u4e8e\u4e3a\u5404\u79cd\u786c\u4ef6\u540e\u7aef\u4f18\u5316\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u4e8c\u8005\u7684\u5173\u7cfb\u4e3b\u8981\u4f53\u73b0\u5728\uff1a<strong>TVM\u901a\u8fc7\u63d0\u4f9b\u4e00\u4e2a\u7f16\u8bd1\u548c\u8fd0\u884c\u65f6\u7684\u652f\u6301\u73af\u5883, \u5e2e\u52a9MLSys\u66f4\u9ad8\u6548\u5730\u5728\u4e0d\u540c\u786c\u4ef6\u4e0a\u90e8\u7f72\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/strong>\u3002TVM\u53ef\u4ee5\u89c6\u4f5cMLSys\u5b9e\u73b0\u9ad8\u6548\u90e8\u7f72\u7684\u6280\u672f\u624b\u6bb5\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u7814\u7a76\u4eba\u5458\u548c\u5b9e\u8df5\u8005\u5c06\u9ad8\u7ea7\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8f6c\u6362\u4e3a\u53ef\u5728\u5404\u7c7b\u786c\u4ef6\u4e0a\u6709\u6548\u8fd0\u884c\u7684\u4f4e\u7ea7\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001MLSys\u6982\u8ff0<\/h3>\n<\/p>\n<p><p>Machine Learning Systems\uff08\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\uff09\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u8bbe\u8ba1\u3001\u6784\u5efa\u3001\u8bc4\u4f30\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u7cfb\u7edf\u67b6\u6784\u7684\u4ea4\u53c9\u5b66\u79d1\u3002\u5b83\u7ed3\u5408\u4e86\u673a\u5668\u5b66\u4e60\u3001\u7cfb\u7edf\u8bbe\u8ba1\u53ca\u8f6f\u4ef6\u5de5\u7a0b\u7b49\u9886\u57df\u7684\u7406\u8bba\u548c\u5b9e\u8df5\uff0c\u76ee\u6807\u662f\u4f7f\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5f97\u5230\u9ad8\u6548\u548c\u7a33\u5b9a\u7684\u8fd0\u884c\u548c\u670d\u52a1\u3002<\/p>\n<\/p>\n<p><h4>\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u4e0e\u7cfb\u7edf<\/h4>\n<\/p>\n<p><p>\u5728MLSys\u4e2d\uff0c\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u901a\u5e38\u9700\u8981\u4e0e\u7cfb\u7edf\u67b6\u6784\u5bc6\u5207\u914d\u5408\u3002\u4f8b\u5982\uff0c\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u8bad\u7ec3\u3001\u6a21\u578b\u7684\u5b58\u50a8\u548c\u90e8\u7f72\u90fd\u9700\u8981\u7cfb\u7edf\u5c42\u9762\u7684\u652f\u6301\u3002\u8fd9\u8981\u6c42\u7cfb\u7edf\u80fd\u591f\u5904\u7406\u5927\u91cf\u7684\u6570\u636e\uff0c\u4fdd\u8bc1\u8ba1\u7b97\u8d44\u6e90\u7684\u5408\u7406\u5229\u7528\uff0c\u5e76\u786e\u4fdd\u6a21\u578b\u7684\u6709\u6548\u6267\u884c\u3002<\/p>\n<\/p>\n<p><h4>\u7cfb\u7edf\u6027\u80fd\u4f18\u5316<\/h4>\n<\/p>\n<p><p>\u7cfb\u7edf\u6027\u80fd\u4f18\u5316\u662fMLSys\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u90e8\u5206\u3002\u7814\u7a76\u8005\u4eec\u9700\u8981\u8003\u8651\u5982\u4f55\u51cf\u5c11\u6a21\u578b\u7684\u5ef6\u8fdf\u3001\u63d0\u9ad8\u541e\u5410\u91cf\uff0c\u5e76\u5728\u6709\u9650\u7684\u8d44\u6e90\u4e0b\u8fbe\u5230\u6700\u4f73\u7684\u6027\u80fd\u3002\u8fd9\u9700\u8981\u4ece\u8ba1\u7b97<a href=\"https:\/\/docs.pingcode.com\/blog\/project-management\/58557.html\" target=\"_blank\">\u8d44\u6e90\u7ba1\u7406<\/a>\u3001\u8c03\u5ea6\u7b56\u7565\u3001\u5b58\u50a8\u4f18\u5316\u7b49\u591a\u65b9\u9762\u8003\u8651\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001TVM\u7b80\u4ecb<\/h3>\n<\/p>\n<p><p>TVM\uff08Tensor Virtual Machine\uff09\u662f\u4e00\u4e2a\u9762\u5411\u6df1\u5ea6\u5b66\u4e60\u7684\u7f16\u8bd1\u5668\u6846\u67b6\u3002\u5b83\u53ef\u4ee5\u81ea\u52a8\u5c06\u9ad8\u5c42\u6b21\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7f16\u8bd1\u4e3a\u9488\u5bf9\u5177\u4f53\u786c\u4ef6\u5e73\u53f0\uff08\u5982CPU\u3001GPU\u3001FPGA\u7b49\uff09\u4f18\u5316\u7684\u6267\u884c\u4ee3\u7801\u3002\u4f5c\u4e3aMLSys\u6db5\u76d6\u7684\u4e00\u4e2a\u91cd\u8981\u5de5\u5177\uff0cTVM\u7684\u5b58\u5728\u663e\u8457\u63d0\u9ad8\u4e86\u6a21\u578b\u90e8\u7f72\u7684\u7075\u6d3b\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h4>\u7f16\u8bd1\u4f18\u5316\u8fc7\u7a0b<\/h4>\n<\/p>\n<p><p>TVM\u7684\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e\u5176\u7075\u6d3b\u7684\u7f16\u8bd1\u4f18\u5316\u8fc7\u7a0b\uff0c\u5305\u62ec\u7b97\u5b50\u878d\u5408\u3001\u5185\u5b58\u8bbf\u95ee\u6a21\u5f0f\u4f18\u5316\u3001\u81ea\u52a8\u8c03\u5ea6\u7b49\u3002\u8fd9\u4e9b\u4f18\u5316\u53ef\u4ee5\u6839\u636e\u76ee\u6807\u786c\u4ef6\u5e73\u53f0\u7684\u7279\u5b9a\u7279\u6027\u8fdb\u884c\u8c03\u6574\uff0c\u4ece\u800c\u751f\u6210\u66f4\u9ad8\u6548\u7684\u6267\u884c\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h4>\u786c\u4ef6\u9002\u914d\u80fd\u529b<\/h4>\n<\/p>\n<p><p>TVM\u652f\u6301\u5305\u62ec\u4f20\u7edf\u7684CPU\u3001GPU\uff0c\u4ee5\u53caAI\u4e13\u7528\u7684ASIC\uff08\u5982Google\u7684TPU\uff09\u7b49\u591a\u79cd\u786c\u4ef6\u3002\u5b83\u901a\u8fc7\u5b9a\u4e49\u786c\u4ef6\u62bd\u8c61\u5c42\u6765\u5c06\u4f18\u5316\u7684\u8fc7\u7a0b\u4e0e\u5177\u4f53\u786c\u4ef6\u89e3\u8026\uff0c\u4ece\u800c\u66f4\u597d\u5730\u9002\u5e94\u4e0d\u540c\u7684\u786c\u4ef6\u5e73\u53f0\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001MLSys\u4e0eTVM\u7684\u7ed3\u5408<\/h3>\n<\/p>\n<p><p>\u5728MLSys\u7684\u5b9e\u8df5\u8fc7\u7a0b\u4e2d\uff0cTVM\u8d77\u5230\u4e86\u6865\u6881\u7684\u4f5c\u7528\uff0c\u5c06\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8f6c\u5316\u4e3a\u9ad8\u6548\u7387\u7684\u673a\u5668\u7801\u6267\u884c\u3002TVM\u901a\u8fc7\u81ea\u52a8\u5316\u7684\u4f18\u5316\uff0c\u52a0\u901f\u4e86\u6a21\u578b\u4ece\u7406\u8bba\u5230\u73b0\u5b9e\u7684\u8f6c\u5316\uff0c\u5b9e\u73b0\u4e86\u7cfb\u7edf\u5c42\u9762\u7684\u9ad8\u6548\u6267\u884c\u3002<\/p>\n<\/p>\n<p><h4>\u90e8\u7f72\u4f18\u5316<\/h4>\n<\/p>\n<p><p>TVM\u53ef\u4ee5\u5e2e\u52a9MLSys\u5b9e\u73b0\u6a21\u578b\u5728\u4e0d\u540c\u786c\u4ef6\u4e0a\u7684\u5feb\u901f\u90e8\u7f72\u548c\u6267\u884c\u3002\u901a\u8fc7\u9ad8\u7ea7\u7684\u62bd\u8c61\u548c\u5148\u8fdb\u7684\u7f16\u8bd1\u6280\u672f\uff0cTVM\u80fd\u591f\u81ea\u52a8\u4f18\u5316\u6a21\u578b\uff0c\u5728\u4fdd\u8bc1\u6b63\u786e\u6027\u7684\u57fa\u7840\u4e0a\uff0c\u63d0\u5347\u8fd0\u884c\u6548\u80fd\u3002<\/p>\n<\/p>\n<p><h4>\u8de8\u5e73\u53f0\u517c\u5bb9<\/h4>\n<\/p>\n<p><p>TVM\u4f7fMLSys\u7684\u6a21\u578b\u80fd\u591f\u5728\u4e0d\u540c\u7684\u786c\u4ef6\u73af\u5883\u4e2d\u8fd0\u884c\uff0c\u800c\u65e0\u9700\u4e3a\u6bcf\u4e2a\u5e73\u53f0\u5355\u72ec\u8fdb\u884c\u4ee3\u7801\u91cd\u5199\u6216\u624b\u52a8\u4f18\u5316\u3002\u8fd9\u5927\u5927\u964d\u4f4e\u4e86\u6a21\u578b\u90e8\u7f72\u7684\u590d\u6742\u6027\uff0c\u5e76\u52a0\u901f\u4e86\u4ece\u7814\u53d1\u5230\u751f\u4ea7\u7684\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001TVM\u7684\u6838\u5fc3\u7279\u6027<\/h3>\n<\/p>\n<p><p>TVM\u4e0d\u4ec5\u4ec5\u662f\u4e00\u4e2a\u7f16\u8bd1\u5668\uff0c\u5b83\u8fd8\u62e5\u6709\u4e00\u7cfb\u5217\u6838\u5fc3\u7279\u6027\uff0c\u4f7f\u5176\u5728MLSys\u4e2d\u626e\u6f14\u7740\u4e0d\u53ef\u6216\u7f3a\u7684\u89d2\u8272\u3002<\/p>\n<\/p>\n<p><h4>\u81ea\u52a8\u8c03\u5ea6\u5668<\/h4>\n<\/p>\n<p><p>TVM\u5f15\u5165\u7684\u81ea\u52a8\u8c03\u5ea6\u5668\u53ef\u4ee5\u57fa\u4e8e\u786c\u4ef6\u7279\u6027\u81ea\u52a8\u4f18\u5316\u8ba1\u7b97\u7684\u6267\u884c\u8ba1\u5212\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5f00\u53d1\u8005\u65e0\u9700\u624b\u52a8\u8c03\u6574\u6bcf\u4e2a\u64cd\u4f5c\u7684\u6267\u884c\u7b56\u7565\uff0cTVM\u53ef\u4ee5\u627e\u5230\u5e76\u5e94\u7528\u6700\u4f73\u7684\u6267\u884c\u8def\u5f84\u3002<\/p>\n<\/p>\n<p><h4>\u7aef\u5230\u7aef\u652f\u6301<\/h4>\n<\/p>\n<p><p>\u4ece\u6a21\u578b\u7684\u8868\u8fbe\u3001\u4f18\u5316\u5230\u6700\u540e\u7684\u4ee3\u7801\u751f\u6210\uff0cTVM\u63d0\u4f9b\u4e86\u5b8c\u6574\u7684\u7aef\u5230\u7aef\u7f16\u8bd1\u652f\u6301\u3002\u8fd9\u4f7f\u5f97\u4e00\u6b21\u6027\u5f00\u53d1\u7684\u6a21\u578b\u80fd\u591f\u5728\u591a\u4e2a\u5e73\u53f0\u548c\u8bbe\u5907\u4e0a\u8fd0\u884c\uff0c\u6781\u5927\u5730\u7b80\u5316\u4e86\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u7684\u6784\u5efa\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001AI\u7f16\u8bd1\u5668TVM\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>TVM\u80fd\u591f\u5728\u591a\u79cd\u5e94\u7528\u573a\u666f\u4e2d\u5bf9MLSys\u4ea7\u751f\u79ef\u6781\u5f71\u54cd\uff0c\u63a8\u52a8\u4e86\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u5feb\u901f\u53d1\u5c55\u548c\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><h4>\u4e91\u8ba1\u7b97\u73af\u5883<\/h4>\n<\/p>\n<p><p>\u5728\u4e91\u7aef\uff0cTVM\u80fd\u591f\u9488\u5bf9\u5927\u91cf\u5206\u5e03\u5f0f\u8ba1\u7b97\u8d44\u6e90\u8fdb\u884c\u4f18\u5316\uff0c\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u670d\u52a1\u53ef\u4ee5\u8f7b\u677e\u5730\u5728\u4e0d\u540c\u7684\u4e91\u5e73\u53f0\u4e0a\u8fdb\u884c\u90e8\u7f72\u548c\u6269\u5c55\u3002<\/p>\n<\/p>\n<p><h4>\u8fb9\u7f18\u8ba1\u7b97\u573a\u666f<\/h4>\n<\/p>\n<p><p>\u5bf9\u4e8e\u8fb9\u7f18\u8ba1\u7b97\u573a\u666f\uff0cTVM\u53ef\u4ee5\u4f18\u5316\u6a21\u578b\u4ee5\u9002\u5e94\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\uff0c\u4f8b\u5982\u667a\u80fd\u624b\u673a\u6216\u7269\u8054\u7f51\u8bbe\u5907\u3002TVM\u63d0\u9ad8\u4e86\u5728\u8fd9\u4e9b\u8bbe\u5907\u4e0a\u8fd0\u884cAI\u6a21\u578b\u7684\u53ef\u80fd\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u7ed3\u8bba<\/h3>\n<\/p>\n<p><p>\u603b\u4e4b\uff0c<strong>MLSys\u548cAI\u7f16\u8bd1\u5668TVM\u4e4b\u95f4\u7684\u5173\u7cfb\u662f\u76f8\u8f85\u76f8\u6210\u7684<\/strong>\u3002TVM\u4f5c\u4e3aMLSys\u4e2d\u7684\u6838\u5fc3\u5de5\u5177\uff0c\u63a8\u52a8\u4e86\u673a\u5668\u5b66\u4e60\u4ece\u7406\u8bba\u7814\u7a76\u5230\u5b9e\u9645\u5e94\u7528\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u540c\u65f6\u4e5f\u4f53\u73b0\u4e86\u7cfb\u7edf\u4f18\u5316\u5bf9\u4e8e\u5b9e\u73b0\u9ad8\u6548\u673a\u5668\u5b66\u4e60\u6a21\u578b\u90e8\u7f72\u7684\u91cd\u8981\u6027\u3002\u901a\u8fc7\u5c06\u4e24\u8005\u7ed3\u5408\u4f7f\u7528\uff0c\u53ef\u4ee5\u5728\u591a\u6837\u7684\u8ba1\u7b97\u73af\u5883\u4e2d\u90e8\u7f72\u548c\u6267\u884c\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5c55\u73b0\u51fa\u4e86\u5f3a\u5927\u7684\u7075\u6d3b\u6027\u548c\u9ad8\u6548\u6027\u3002\u968f\u7740\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0cMLSys\u548cTVM\u7684\u534f\u540c\u4f5c\u7528\u5c06\u8fdb\u4e00\u6b65\u52a0\u5f3a\uff0c\u6fc0\u53d1\u51fa\u66f4\u591a\u7684\u7814\u7a76\u4e0e\u5e94\u7528\u521b\u65b0\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1. MLsys \u548c AI \u7f16\u8bd1\u5668 TVM \u7684\u5173\u7cfb\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n<p>MLsys \u662f\u4e00\u4e2a\u5e7f\u6cdb\u7684\u672f\u8bed\uff0c\u7528\u4e8e\u63cf\u8ff0\u4e0e\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u76f8\u5173\u7684\u6240\u6709\u786c\u4ef6\u548c\u8f6f\u4ef6\u7ec4\u4ef6\u3002\u800c AI \u7f16\u8bd1\u5668 TVM \u662f MLsys \u4e2d\u91cd\u8981\u7684\u7ec4\u6210\u90e8\u5206\u4e4b\u4e00\u3002TVM \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6df1\u5ea6\u5b66\u4e60\u7f16\u8bd1\u5668\uff0c\u5b83\u53ef\u4ee5\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8f6c\u5316\u4e3a\u9ad8\u6548\u7684\u76ee\u6807\u4ee3\u7801\uff0c\u5e76\u5728\u5404\u79cd\u786c\u4ef6\u5e73\u53f0\u4e0a\u8fdb\u884c\u4f18\u5316\u548c\u90e8\u7f72\u3002TVM \u901a\u8fc7\u81ea\u52a8\u5316\u548c\u4f18\u5316\u7f16\u8bd1\u8fc7\u7a0b\uff0c\u53ef\u4ee5\u4e3a\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u63d0\u4f9b\u9ad8\u6027\u80fd\u548c\u4f4e\u5ef6\u8fdf\u7684\u8fd0\u884c\u65f6\u73af\u5883\uff0c\u4ece\u800c\u52a0\u901f\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u3002<\/p>\n<p><strong>2. MLsys \u548c AI \u7f16\u8bd1\u5668 TVM \u4e4b\u95f4\u7684\u8054\u7cfb\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n<p>MLsys \u548c AI \u7f16\u8bd1\u5668 TVM \u4e4b\u95f4\u6709\u7740\u5bc6\u5207\u7684\u8054\u7cfb\u3002MLsys \u662f\u4e00\u4e2a\u66f4\u5bbd\u6cdb\u7684\u6982\u5ff5\uff0c\u5b83\u6db5\u76d6\u4e86\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u4e2d\u7684\u5404\u79cd\u7ec4\u4ef6\u548c\u6280\u672f\uff0c\u5305\u62ec\u6570\u636e\u51c6\u5907\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u6a21\u578b\u90e8\u7f72\u3001\u8fd0\u884c\u65f6\u73af\u5883\u7b49\u3002\u800c AI \u7f16\u8bd1\u5668 TVM \u662f MLsys \u4e2d\u7684\u4e00\u90e8\u5206\uff0c\u4e13\u6ce8\u4e8e\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7f16\u8bd1\u4e3a\u9ad8\u6548\u7684\u76ee\u6807\u4ee3\u7801\uff0c\u5e76\u63d0\u4f9b\u4f18\u5316\u548c\u90e8\u7f72\u7684\u529f\u80fd\u3002TVM \u7684\u51fa\u73b0\u4f7f\u5f97 MLsys \u66f4\u52a0\u5b8c\u6574\u548c\u9ad8\u6548\uff0c\u4e3a\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u7684\u5404\u4e2a\u73af\u8282\u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u6027\u80fd\u548c\u53ef\u6269\u5c55\u6027\u3002<\/p>\n<p><strong>3. AI \u7f16\u8bd1\u5668 TVM \u5728 MLsys \u4e2d\u626e\u6f14\u4ec0\u4e48\u89d2\u8272\uff1f<\/strong><\/p>\n<p>AI \u7f16\u8bd1\u5668 TVM \u5728 MLsys \u4e2d\u8d77\u7740\u91cd\u8981\u7684\u89d2\u8272\u3002\u5b83\u901a\u8fc7\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7f16\u8bd1\u4e3a\u9ad8\u6548\u7684\u76ee\u6807\u4ee3\u7801\uff0c\u4e3a MLsys \u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u548c\u4f4e\u5ef6\u8fdf\u7684\u8fd0\u884c\u65f6\u73af\u5883\u3002TVM \u901a\u8fc7\u5728\u7f16\u8bd1\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u81ea\u52a8\u4f18\u5316\u548c\u786c\u4ef6\u9002\u914d\uff0c\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u786c\u4ef6\u5e73\u53f0\u4e0a\u5b9e\u73b0\u6700\u4f73\u7684\u6027\u80fd\u3002\u540c\u65f6\uff0cTVM \u8fd8\u63d0\u4f9b\u4e86\u4e0e\u5176\u4ed6 MLsys \u7ec4\u4ef6\u7684\u96c6\u6210\u529f\u80fd\uff0c\u4f7f\u5f97\u6574\u4e2a\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u66f4\u52a0\u5b8c\u6574\u548c\u9ad8\u6548\u3002\u56e0\u6b64\uff0cAI \u7f16\u8bd1\u5668 TVM \u5728 MLsys \u4e2d\u662f\u4e00\u4e2a\u4e0d\u53ef\u6216\u7f3a\u7684\u7ec4\u6210\u90e8\u5206\uff0c\u4e3a\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u7684\u6027\u80fd\u548c\u53ef\u6269\u5c55\u6027\u63d0\u4f9b\u4e86\u5f88\u5927\u7684\u5e2e\u52a9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"MLSys\u4e0eAI\u7f16\u8bd1\u5668TVM\u5b58\u5728\u7d27\u5bc6\u7684\u5173\u8054\u5173\u7cfb\u3002MLSys\uff08Machine Learning Systems\uff09 [&hellip;]","protected":false},"author":3,"featured_media":279189,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/279168"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=279168"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/279168\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/279189"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=279168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=279168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=279168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}