{"id":10006259,"date":"2022-08-21T00:48:42","date_gmt":"2022-08-20T16:48:42","guid":{"rendered":"https:\/\/ityet.com\/?p=10006259"},"modified":"2022-08-21T00:48:42","modified_gmt":"2022-08-20T16:48:42","slug":"%e3%80%90asplos-2022%e3%80%91%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e8%ae%bf%e5%ad%98%e5%af%86%e9%9b%86%e8%ae%a1%e7%ae%97%e7%bc%96%e8%af%91%e4%bc%98%e5%8c%96%e6%a1%86%e6%9e%b6astitch%ef%bc%8c%e5%a4%a7","status":"publish","type":"post","link":"https:\/\/itmax.cn\/?p=10006259","title":{"rendered":"\u3010ASPLOS 2022\u3011\u673a\u5668\u5b66\u4e60\u8bbf\u5b58\u5bc6\u96c6\u8ba1\u7b97\u7f16\u8bd1\u4f18\u5316\u6846\u67b6AStitch\uff0c\u5927\u5e45\u63d0\u5347\u4efb\u52a1\u6267\u884c\u6548\u7387"},"content":{"rendered":"<p>\u7b80\u4ecb\uff1a\u00a0\u8fd1\u65e5\uff0c\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u8bbf\u5b58\u5bc6\u96c6\u8ba1\u7b97\u7f16\u8bd1\u4f18\u5316\u6846\u67b6\u7684\u8bba\u6587\u300aAStitch: Enabling A New Multi-Dimensional Optimization Space for Memory-Intensive ML Training and 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\/><img decoding=\"async\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/remote\/1460000042348044\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" loading=\"lazy\"><br \/>Operator\u5c42\u9762\u662f\u6307\u56fe\u5c42\u9762\u7684\u7b97\u5b50\u4f9d\u8d56\u5173\u7cfb\uff0c\u4e0b\u56fe\u5c55\u793a\u4e86\u4e00\u4e2a\u8bbf\u5b58\u5bc6\u96c6\u578b\u8ba1\u7b97\u5b50\u56fe\u7684\u62d3\u6251\u5173\u7cfb\uff08\u6765\u81ea\u4e00\u4e2aTransformer\u6a21\u578b\uff09\uff0c\u53ef\u4ee5\u770b\u5230\u590d\u6742\u7684\u591a\u5bf9\u4e00\u3001\u4e00\u5bf9\u591a\u4f9d\u8d56\u5173\u7cfb\u3002<br \/><img decoding=\"async\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/remote\/1460000042348045\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" loading=\"lazy\"><br \/>\u5982\u4eca\u7684\u6a21\u578b\u7c7b\u578b\u6781\u4e3a\u4e30\u5bcc\uff0c\u53d8\u79cd\u7e41\u591a\uff0c\u8ba1\u7b97\u62d3\u6251\u56fe\u65e0\u6cd5\u679a\u4e3e\uff0c\u4e0d\u540c\u4e8eHPC\u9886\u57df\u7684\u624b\u5de5kernel fusion\uff0c\u8ba9\u7f16\u8bd1\u5668\u81ea\u52a8\u5316\u5730\u5bf9\u4efb\u610f\u53ef\u80fd\u7684\u8ba1\u7b97\u5b50\u56fe\u505afusion\u4f18\u5316\u662f\u975e\u5e38\u5177\u6709\u6311\u6218\u6027\u3002\u8fd9\u4e5f\u662fXLA\u548cTVM\u76ee\u524d\u53ea\u505a\u4fdd\u5b88fusion\u4f18\u5316\u7684\u4e00\u4e2a\u91cd\u8981\u539f\u56e0\u3002\u00a0\u9664\u4e86\u590d\u6742\u7684\u8ba1\u7b97\u56fe\u4e4b\u5916\uff0c\u8f93\u5165\u6570\u636e\u5f62\u72b6\u7684\u591a\u6837\u6027\u548c\u672a\u77e5\u6027\uff0c\u4e5f\u7ed9\u81ea\u52a8\u4ee3\u7801\u751f\u6210\u5e26\u6765\u4e86\u5f88\u5927\u7684\u6311\u6218\u3002\u4e0d\u540c\u7684tensor\u5f62\u72b6\u9700\u8981\u4e0d\u540c\u7684\u4ee3\u7801\u751f\u6210schedule\uff0c\u4ee5\u5f97\u5230\u8f83\u597d\u7684\u5e76\u884c\u6027\u3002XLA\u9488\u5bf9\u5e38\u89c4\u7684tensor\u5f62\u72b6\u63d0\u4f9b\u4e86\u4ee3\u7801\u751f\u6210\u7684schedule\uff0c\u4f46tensor\u5f62\u72b6\u7684\u53ef\u80fd\u6027\u662f\u65e0\u7a77\u65e0\u5c3d\u7684\uff0c\u6211\u4eec\u5728\u771f\u5b9e\u751f\u4ea7\u4e2d\u53d1\u73b0\uff0c\u4e00\u4e9b\u7279\u6b8a\u7684\u5f62\u72b6\u4f1a\u5bfc\u81f4XLA\u4ea7\u751f\u6781\u5927\u7684\u6027\u80fd\u95ee\u9898\u3002\uff08\u6ce8\uff1a\u8fd9\u91cc\u8ba8\u8bba\u7684\u662f\u9759\u6001shape\u7684\u591a\u6837\u6027\uff0c\u800c\u975e\u52a8\u6001shape\u95ee\u9898\u3002\uff09\u00a0\u7834\u5c40\u56f0\u96be\u548c\u6311\u6218\u603b\u662f\u8ba9\u5bf9\u6280\u672f\u6709\u6781\u81f4\u8ffd\u6c42\u7684\u4eba\u5174\u594b\u3002\u00a0Fusion\u95ee\u9898\uff0c\u6838\u5fc3\u662f\u4ee3\u7801\u751f\u6210\u80fd\u529b\u95ee\u9898\uff0c\u80fd\u529b\u8d8a\u5927\uff0cfusion\u8d8a\u597d\u3002\u4ece\u4e24\u4e2a\u5c42\u9762\u7684\u4f9d\u8d56\u5173\u7cfb\u51fa\u53d1\uff0c\u4ee3\u7801\u751f\u6210\u9700\u8981\u540c\u65f6\u8003\u8651\u786c\u4ef6\u5b58\u50a8\u5c42\u6b21\u548c\u5e76\u884c\u5ea6\uff1a\u7b97\u5b50\u4e4b\u95f4\u4f20\u9012\u6570\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5b58\u50a8\u5a92\u4ecb\uff0c\u6bcf\u4e2a\u7b97\u5b50\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5e76\u884c\u7b56\u7565\uff0c\u8fd9\u4e24\u8005\u662f\u76f8\u4e92\u4ea4\u6742\u7684\uff0c\u9700\u8981\u534f\u540c\u8003\u8651\u3002\u6211\u4eec\u5c06\u6211\u4eec\u63d0\u51fa\u7684Fusion\u6280\u672f\u79f0\u4e3astitch\uff0c\u8fd9\u6837\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u8868\u8fbe\u7b97\u5b50\u901a\u8fc7\u5c42\u6b21\u5316\u7684\u5b58\u50a8\u5a92\u4ecb\u201c\u7f1d\u5408\u201d\u5728\u4e00\u8d77\u8fd9\u4e00\u52a8\u4f5c\u3002\u00a0\u4ece\u5b58\u50a8\u5a92\u4ecb\u51fa\u53d1\uff0c\u7ed3\u5408\u5e76\u884c\u5ea6\u7684\u8003\u8651\uff0c\u6211\u4eec\u5c06stitch\u7b56\u7565\u62bd\u8c61\u4e3a\u56db\u79cd\uff1a\u65e0\u4f9d\u8d56\uff08Independent\uff09\u3001\u672c\u5730\u7684\uff08Local\uff09\u3001\u533a\u57df\u7684\uff08Regional\uff09\u548c\u5168\u5c40\u7684\uff08Global\uff09\u3002\u00a0XLA\u6240\u652f\u6301\u7684\u662fLocal\u7684\u7b56\u7565\uff0c\u53ea\u652f\u6301\u901a\u8fc7\u5bc4\u5b58\u5668\u4f20\u9012\u6570\u636e\uff0c\u7b97\u5b50\u7684\u5e76\u884c\u7b56\u7565\u88ab\u5206\u5f00\u6765\u8003\u8651\u3002\u4e00\u4e9bFusion\u5de5\u4f5c\u53ef\u4ee5\u652f\u6301Independent\u4f9d\u8d56\uff0c\u4e3b\u8981\u5305\u62ecKernel Packing\u7b49\u3002AStitch\u62d3\u5c55\u4e86fusion\u7684\u4f18\u5316\u7a7a\u95f4\uff0cRegional\u7b56\u7565\u5c06\u6570\u636e\u5b58\u50a8\u5728shared memory\u4e2d\uff0c\u652f\u6301GPU thread block locality\uff0cGlobal\u7b56\u7565\u5c06\u6570\u636e\u5b58\u50a8\u5728global memory\u4e2d\uff0c\u652f\u6301\u5168\u5c40\u7684locality\u3002\u5176\u4e2d\uff0c\u5e76\u884c\u5ea6\u7684\u8003\u8651\u5728\u4e8e\uff0c\u4e0a\u8ff0\u6bcf\u79cdstitch\u7b56\u7565\u90fd\u9700\u8981\u7279\u5b9alocality\u7684\u652f\u6301\uff0clocality\u8d8a\u662f\u5c40\u90e8\uff0c\u5bf9\u5e76\u884c\u7b56\u7565\u7684\u53ef\u80fd\u9650\u5236\u8d8a\u5927\u3002\u4eceLocal\uff0c\u5230Regional\uff0c\u518d\u5230Global\uff0clocality\u7684\u9650\u5236\u9010\u6e10\u964d\u4f4e\uff0c\u5bf9\u5e76\u884c\u7b56\u7565\u7684\u9650\u5236\u4e5f\u968f\u4e4b\u9010\u6e10\u53d6\u6d88\u3002\u9700\u8981\u8bf4\u660e\u7684\u662f\uff0cGlobal\u7684\u7b56\u7565\u9700\u8981GPU kernel\u6240\u6709\u7ebf\u7a0b\u7684\u5168\u5c40\u540c\u6b65\uff0c\u5176\u76f8\u5f53\u4e8e\u5c06kernel\u4e4b\u95f4\u7684\u9690\u5f0f\u7684\u540c\u6b65inline\u5230kernel\u5185\u90e8\u6765\u8fdb\u884c\uff0c\u51cf\u5c11\u4e00\u6b21CPU\uff08\u5305\u62ec\u6846\u67b6\u548c\u9a71\u52a8\uff09\u548cGPU\u4e4b\u95f4\u7684\u5207\u6362\u3002<br \/><img decoding=\"async\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/remote\/1460000042348046\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" loading=\"lazy\"><br \/>\u5bf9\u4e8e\u5e76\u884c\u5ea6\uff0c\u4e3a\u8bbf\u5b58\u5bc6\u96c6\u578b\u8ba1\u7b97\u505ashape-aware\u7684\u5e76\u884c\u4ee3\u7801\u751f\u6210\uff08Adaptive Thread Mapping\uff09\u662fAStitch\u7684\u4e00\u4e2a\u91cd\u8981\u8d21\u732e\u3002\u5176\u57fa\u672c\u601d\u60f3\u662f\uff0c\u57fa\u4e8eSIMT\u7684\u67b6\u6784\uff0c\u5408\u5e76\u5c0f\u7684\uff08Task Packing\uff09\uff0c\u62c6\u5206\u5927\u7684\uff08Task Splitting\uff09\uff0c\u4ee5\u5f97\u5230\u5408\u9002\u7684CUDA thread block\u5927\u5c0f\u548c\u6570\u91cf\u3002\u00a0\u503c\u5f97\u8bf4\u660e\u7684\u662f\uff0c\u5bf9\u4e8eGlobal\u7684\u7b56\u7565\uff0c\u4e3a\u4e86\u5b9e\u73b0\u5168\u5c40\u540c\u6b65\uff0c\u9700\u8981\u4fdd\u8bc1\u603b\u7684CUDA thread block\u6570\u91cf\u4e0d\u5927\u4e8e\u4e00\u4e2awave\u53ef\u4ee5\u8c03\u5ea6\u7684\u6700\u5927\u6570\u91cf\uff0cAStitch\u901a\u8fc7\u505a\u7eb5\u5411\u7684Task Packing\u6765\u8fbe\u5230\u8fd9\u4e00\u8981\u6c42\uff0c\u8fd9\u76f8\u5f53\u4e8e\u5c06\u539f\u672c\u7531\u786c\u4ef6\u8c03\u5ea6\u5668\u8c03\u5ea6\u7684\u4efb\u52a1\u8f6c\u53d8\u4e3a\u8f6f\u4ef6\u4e0a\u9884\u5148\u8c03\u5ea6\u597d\u7684\u4efb\u52a1\uff0c\u5b9e\u9645\u4e0a\u8fd8\u6709\u673a\u4f1a\u8282\u7701\u8c03\u5ea6\u5f00\u9500\u3002<br \/><img decoding=\"async\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/remote\/1460000042348047\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" loading=\"lazy\"><br \/>\u5bf9\u4e8e\u81ea\u52a8\u4ee3\u7801\u751f\u6210\uff0c\u7a77\u4e3e\u6bcf\u4e2a\u7b97\u5b50\u7684stitching\u7b56\u7565\u548c\u5e76\u884c\u7b56\u7565\u662f\u4e0d\u73b0\u5b9e\u7684\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u5148\u5206\u7ec4\u89e3\u51b3\u5c40\u90e8\u4ee3\u7801\u751f\u6210\uff0c\u518d\u805a\u5408\u751f\u6210\u5168\u5c40\u4ee3\u7801\u7684\u65b9\u6cd5\u3002\u4e00\u4e2a\u91cd\u8981\u7684insight\u662f\uff0c\u8f7b\u91cf\u7ea7\u7684element-wise\u7684\u8ba1\u7b97\u53ea\u9700\u8981\u8ddf\u968f\u5176consumer\u7684\u4ee3\u7801\u751f\u6210schedule\u5373\u53ef\uff0c\u6700\u7ec8\u901a\u8fc7Local\u7b56\u7565\u8fdb\u884c\u6570\u636e\u4f20\u8f93\uff1b\u800creduce\u7b49\u590d\u6742\u8ba1\u7b97\u5219\u9700\u8981\u4f18\u5148\u8003\u8651\u5e76\u884c\u5ea6\u7684\u4f18\u5316\uff0c\u518d\u53bb\u8003\u8651\u4e0e\u5176consumer\u7684stitch\u7b56\u7565\u3002\u00a0\u57fa\u4e8e\u6b64\uff0c\u6211\u4eec\u4f9d\u636e\u7b97\u5b50\u7c7b\u578b\u8fdb\u884c\u5206\u7ec4\uff0creduce\u53ca\u8ddf\u6709broadcast\u7684expensive element-wise\uff08Power, Sqrt\u7b49\uff09\u4f5c\u4e3a\u6bcf\u4e00\u4e2a\u7ec4\u7684dominant\uff0c\u6bcf\u4e2adominant\u7684\u76f4\u63a5\u7684\u6216\u95f4\u63a5\u7684producer\u88ab\u5206\u5230\u5176\u5bf9\u5e94\u7684\u7ec4\u4e2d\u3002\u7ec4\u5185\u7684\u6570\u636e\u4f20\u64ad\u90fd\u662f\u901a\u8fc7Local\u7b56\u7565\u8fdb\u884c\uff0cdominant\u751f\u6210\u81ea\u5df1\u7684\u5e76\u884c\u7b56\u7565schedule\u540e\uff0c\u4f20\u64ad\u7ed9\u7ec4\u5185\u7684\u5176\u4ed6\u7b97\u5b50\uff1b\u6700\u540e\u68c0\u67e5\u7ec4\u95f4\u7684\u6570\u636e\u5c40\u90e8\u6027\uff0c\u4e3a\u4e24\u4e2a\u7ec4\u8fb9\u7f18\u7684\u7b97\u5b50\u9009\u62e9\u53ef\u8fbe\u5230\u7684locality\u6700\u4f18\u7684stitch\u7b56\u7565\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u6d01\u6709\u6548\u5730\u89e3\u51b3\u4e86\u641c\u7d22\u7a7a\u95f4\u7206\u70b8\u7684\u95ee\u9898\uff0c\u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u8fd8\u6709\u4e00\u4e9blocality\u548cparallelism\u4e4b\u95f4\u7684\u6743\u8861\uff0c\u5176\u4e2d\u66f4\u591a\u7684\u7ec6\u8282\u8bf7\u9605\u8bfb\u6211\u4eecASPLOS 2022\u7684\u8bba\u6587\u3002<br \/><img decoding=\"async\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/remote\/1460000042348048\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" loading=\"lazy\"><br \/>\u7ed3\u8bedAStitch\u7684\u96cf\u5f62\u662f\u6211\u4eec\u65e9\u671f\u7684\u5de5\u4f5cFusionStitching[4]\uff0cFusionStitching\u6700\u65e9\u5c06shared memory\u5f15\u5165\u4e86\u8bbf\u5b58\u5bc6\u96c6\u7b97\u5b50\u7684\u7f16\u8bd1\u4f18\u5316\u81ea\u52a8fusion\uff0c\u5e76\u91c7\u7528cost model\u6765\u505afusion\u548c\u4ee3\u7801\u751f\u6210\u7684\u4e00\u7cfb\u5217\u51b3\u7b56\u3002\u968f\u7740\u6df1\u5165\u4f18\u5316\uff0c\u6211\u4eec\u53d1\u73b0\u53ef\u4ee5\u5c06kernel\u4e4b\u95f4\u7684\u9690\u5f0f\u540c\u6b65\u7ed9inline\u5230kernel\u5185\u90e8\uff0c\u5e76\u901a\u8fc7global memory\u505astitch\uff0c\u907f\u514dCPU\u548cGPU\u4e4b\u95f4\u7684\u65e0\u8c13\u7684\u5207\u6362\uff0c\u8fdb\u4e00\u6b65\u7684\uff0c\u7ed3\u5408Adaptive Thread Mapping\u65b9\u6cd5\u89e3\u51b3\u5e76\u884c\u7b56\u7565\u95ee\u9898\uff0c\u53ef\u4ee5\u5f62\u6210\u5f3a\u5927\u7684\u4ee3\u7801\u751f\u6210\u80fd\u529b\u3002\u81f3\u6b64\uff0c\u6211\u4eec\u5df2\u7ecf\u4e0d\u9700\u8981cost model\u6765\u6307\u5bfcfusion\u51b3\u7b56\u548c\u4ee3\u7801\u751f\u6210\uff0c\u6211\u4eec\u53ef\u4ee5stitch\u4e00\u5207\uff0c\u6211\u4eec\u7684\u4ee3\u7801\u751f\u6210\u4e5f\u5177\u6709\u81ea\u9002\u5e94\u80fd\u529b\u3002\u00a0\u6700\u8fd1\uff0c\u6211\u4eec\u60ca\u559c\u5730\u53d1\u73b0\u65b0\u7248\u672c\u7684TensorRT[3]\u5f00\u59cb\u652f\u6301\u4f7f\u7528shared memory\u505a\u6570\u636e\u5a92\u4ecb\u6765\u751f\u6210fusion\u4e86\u3002\u6211\u4eec\u671f\u5f85\u8d8a\u6765\u8d8a\u591a\u7684\u5de5\u4f5c\u5f00\u59cb\u5728\u8bbf\u5b58\u5bc6\u96c6\u578b\u8ba1\u7b97\u7684\u6027\u80fd\u4f18\u5316\u65b9\u9762\u53d1\u529b\uff0c\u6211\u4eec\u4e5f\u5e0c\u671bAStitch\u4ee5\u53ca\u65e9\u671f\u7684FusionStitching\u7684\u5de5\u4f5c\u53ef\u4ee5\u5f71\u54cd\u5230\u5e7f\u6cdb\u7684\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\u548c\u7f16\u8bd1\u4f18\u5316\u53c2\u4e0e\u8005\uff01\u00a0\u8bba\u6587\u5730\u5740\uff1a<a href=\"https:\/\/link.segmentfault.com\/?enc=Go813sDMFN%2B5axjSgKB8VA%3D%3D.t7OhVF16rDim7Omrezn%2F%2BYCCOWQWuzQfC2lmSUhIQD8AWOVpSkVuplP7blTINtje\" rel=\"nofollow\">https:\/\/dl.acm.org\/doi\/10.114&#8230;<\/a>\u00a0\u53c2\u8003\u6587\u732e\uff1a[1] TensorFlow XLA.\u00a0<a href=\"https:\/\/link.segmentfault.com\/?enc=l6WM9scWALTYRnf8rhjWaA%3D%3D.8fbgL4GZdrgl0BzqfeiRwKlsxvMDEWSWl%2FvsHV0aQ5Y%3D\" rel=\"nofollow\">https:\/\/www.tensorflow.org\/xla<\/a>[2] Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, et al. TVM: An automated end-to-end optimizing compiler for deep learning. OSDI&#8217;18.[3] TensorRT.\u00a0<a href=\"https:\/\/link.segmentfault.com\/?enc=c7JQE4gIr%2B6E900ADuBJfw%3D%3D.ED9Lw%2B2Dl5bG9CHr%2Bl4lZEvKodYXC2gA%2F1Td3i%2FTHtyzGhLq5vgLBEaw7PFWfWZ9\" rel=\"nofollow\">https:\/\/developer.nvidia.com\/&#8230;<\/a>[4] Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, and Wei Lin. FusionStitching: boosting memory intensive computations for deep learning workloads. arXiv preprint.\u539f\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/link.segmentfault.com\/?enc=tyxLTAt7RYPpkQCZtlMSVA%3D%3D.0LGcfrVob4pb3Bl9%2BzvFE%2BJrFlkZ4qMYgXuo7%2FrtVfgMTXc9C4I9Pob0nHiqrchu\" rel=\"nofollow\">https:\/\/click.aliyun.com\/m\/10&#8230;<\/a>\u672c\u6587\u4e3a\u963f\u91cc\u4e91\u539f\u521b\u5185\u5bb9\uff0c\u672a\u7ecf\u5141\u8bb8\u4e0d\u5f97\u8f6c\u8f7d\u3002<\/p>\n<p><a href=\"https:\/\/segmentfault.com\/a\/1190000042348042\">https:\/\/segmentfault.com\/a\/1190000042348042<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7b80\u4ecb\uff1a\u00a0\u8fd1\u65e5\uff0c\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u8bbf\u5b58\u5bc6\u96c6\u8ba1\u7b97\u7f16\u8bd1\u4f18\u5316\u6846\u67b6\u7684\u8bba\u6587\u300aAStitch: Enabling A New Mu [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-10006259","post","type-post","status-publish","format-standard","hentry"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts\/10006259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10006259"}],"version-history":[{"count":0,"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts\/10006259\/revisions"}],"wp:attachment":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10006259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10006259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10006259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}