{"id":15278,"date":"2023-07-05T10:49:01","date_gmt":"2023-07-05T02:49:01","guid":{"rendered":"https:\/\/www.juejinka.com\/?p=15278"},"modified":"2023-07-05T10:49:01","modified_gmt":"2023-07-05T02:49:01","slug":"amd%e5%8f%91%e5%b8%83amd-rocm-5-6%e7%89%88%ef%bc%8c%e4%b8%baai%e5%ba%94%e7%94%a8%e5%b8%a6%e6%9d%a5%e6%9c%80%e4%bd%b3%e6%80%a7%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.juejinka.com\/y\/15278.html","title":{"rendered":"AMD\u53d1\u5e03AMD ROCm 5.6\u7248\uff0c\u4e3aAI\u5e94\u7528\u5e26\u6765\u6700\u4f73\u6027\u80fd"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" src=\"https:\/\/www.juejinka.com\/news\/wp-content\/uploads\/2023\/07\/2023070502535362.webp\" alt=\"AMD\u53d1\u5e03AMD ROCm 5.6\u7248\uff0c\u4e3aAI\u5e94\u7528\u5e26\u6765\u6700\u4f73\u6027\u80fd\" class=\"wp-image-118539\"\/><\/figure><\/div>\n\n\n<p>AMD\u9488\u5bf9AI\u5e94\u7528\u53d1\u5e03\u5168\u65b0AMD ROCm 5.6\u5f00\u653e\u8f6f\u4ef6\u5e73\u53f0\uff0cAMD\u4eba\u5de5\u667a\u80fd\u4e8b\u4e1a\u7fa4\u8d44\u6df1\u526f\u603b\u88c1Vamsi Boppana\u4e8e\u90e8\u843d\u683c\u6587\u7ae0\u4e2d\u91cd\u70b9\u4ecb\u7ecdROCm 5.6\u7684\u65b0\u529f\u80fd\u3002<\/p>\n\n\n\n<h2><strong>AMD ROCm 5.6\u7248\u6b63\u5f0f\u53d1\u5e03<\/strong><\/h2>\n\n\n\n<p>ROCm 5.6 \u4e3a\u4eba\u5de5\u667a\u80fd\uff08AI\uff09 \u4e0e\u5927\u578b\u8bed\u8a00\u6a21\u578b \uff08LLM\uff09 \u5de5\u4f5c\u8d1f\u8f7d\u5e26\u6765\uff1a<\/p>\n\n\n\n<ul>\n<li>\u5c06 Hugging Face \u5355\u5143\u6d4b\u8bd5\u5957\u4ef6\u96c6\u6210\u81f3 ROCm QA \u4e2d\u3002<\/li>\n\n\n\n<li>\u5728 PyTorch 2.0 \u4f20\u611f\u5668\u6a21\u5f0f\u4e0b\u5bf9 OpenAI Triton \u7684\u589e\u91cf\u652f\u6301\u3002<\/li>\n\n\n\n<li>\u900f\u8fc7 ROCm \u5bf9 PyTorch\u3001TensorFlow \u548c JAX \u63d0\u4f9b OpenXLA \u652f\u6301\uff0c\u652f\u6301\u66f4\u5e7f\u6cdb\u7684\u793e\u7fa4\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u5bf9\u4e8e HPC \u5e94\u7528\u7a0b\u5e8f\uff0cROCm 5.6 \u5f15\u5165\u5bf9\u5feb\u901f\u5085\u7acb\u53f6\u53d8\u6362 \uff08Fast Fourier Transform\uff0cFFT\uff09\u3001\u57fa\u7840\u7ebf\u6027\u4ee3\u6570\u7a0b\u5f0f\u96c6 \uff08Basic Linear Algebra Subprograms\uff0cBLAS\uff09 \u4e0e\u8ba1\u7b97\u673a \uff08solver\uff09 \u7b49\u591a\u4e2a\u6570\u5b66\u51fd\u5f0f\u5e93\u7684\u6548\u80fd\u63d0\u5347\u3002 \u8fd9\u4e9b\u6570\u5b66\u5e93\u662f HPC \u5e94\u7528\u7a0b\u5e8f\u7684\u57fa\u7840\uff0c\u5e76\u589e\u5f3a\u4e86 ROCm \u5f00\u53d1\u548c\u90e8\u7f72\u5de5\u5177\uff0c\u5305\u62ec\u5b89\u88c5\u3001ROCgdb \uff08CPU-GPU \u96c6\u6210\u8c03\u8bd5\u5668\uff09\u3001ROCm \u5206\u6790\u5de5\u5177\u548c\u6587\u4ef6\u3002<\/p>\n\n\n\n<p>\u4e3a\u63d0\u4f9b\u6700\u5353\u8d8a\u7684\u6027\u80fd\uff0cAMD\u4e5f\u5c06\u4e8e\u672a\u6765\u6570\u6708\u5185\u5bf9\u6846\u67b6\u548c\u540e\u7aef\u7f16\u8bd1\u5668\u4f5c\u8fdb\u4e00\u6b65\u7684\u4f18\u5316\uff0c\u5176\u4e2d\u5305\u62ecMLIR\u57fa\u7840\u67b6\u6784\u6539\u8fdb\uff0c\u5de9\u56faAMD\u5bf9OpenAI Triton\u4e0eOpenXLA\u7f16\u8bd1\u5668\u7684\u652f\u6301\u3002 \u5ba2\u6237\u5c06\u5728&nbsp;Hugging Face&nbsp;\u7684 AMD Hub \u4e0a\u770b\u5230\u66f4\u591a\u4e3a AMD \u89e3\u51b3\u65b9\u6848\u4f5c\u51fa\u4f18\u5316\u7684\u5f00\u6e90 AI \u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0cAMD\u5c06\u4e8e\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u6b63\u5f0f\u5728\u91c7\u7528AMD RDNA 3\u67b6\u6784\u7684\u7279\u5b9a\u663e\u5361\u4e0a\u91ca\u51faAMD ROCm\u652f\u6301\u3002 Linux \u9884\u8ba1\u5c06\u4e8e\u4eca\u5e74\u79cb\u5b63\u6b63\u5f0f\u652f\u6301\u57fa\u4e8e RDNA 3 \u67b6\u6784\u7684\u663e\u5361\uff0c\u9996\u5148\u662f 48GB Radeon PRO W7900 \u7ed8\u56fe\u5361\u4e0e 24GB Radeon RX 7900 XTX \u663e\u793a\u5361\uff0c\u5e76\u5c06\u9646\u7eed\u53d1\u5e03\u66f4\u591a\u652f\u6301\u663e\u5361\u548c\u6269\u5145\u529f\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AMD\u9488\u5bf9AI\u5e94\u7528\u53d1\u5e03\u5168\u65b0AMD ROCm 5.6\u5f00\u653e\u8f6f\u4ef6\u5e73\u53f0\uff0cAMD\u4eba\u5de5\u667a\u80fd\u4e8b\u4e1a\u7fa4\u8d44\u6df1\u526f\u603b\u88c1Vamsi Boppana\u4e8e\u90e8\u843d\u683c\u6587\u7ae0\u4e2d\u91cd\u70b9\u4ecb\u7ecdROCm 5.6\u7684\u65b0\u529f\u80fd\u3002 AMD R&#8230;<\/p>\n","protected":false},"author":5,"featured_media":15288,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/posts\/15278"}],"collection":[{"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/comments?post=15278"}],"version-history":[{"count":1,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/posts\/15278\/revisions"}],"predecessor-version":[{"id":15289,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/posts\/15278\/revisions\/15289"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/media\/15288"}],"wp:attachment":[{"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/media?parent=15278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/categories?post=15278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/tags?post=15278"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/www.juejinka.com\/news\/wp-json\/wp\/v2\/special?post=15278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}