{"id":83795,"date":"2026-07-26T04:25:53","date_gmt":"2026-07-25T20:25:53","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/83795.html"},"modified":"2026-07-26T04:25:53","modified_gmt":"2026-07-25T20:25:53","slug":"deear%e5%bc%80%e6%ba%90%e6%a8%a1%e5%9e%8bgpu%e7%ae%97%e5%8a%9b%e9%80%82%e9%85%8d%e6%96%b9%e6%a1%88%ef%bc%9a%e6%98%be%e5%ad%98%e5%8d%a0%e7%94%a8%ef%bc%9c3gb%e5%ae%9e%e7%8e%b0a10%e6%9c%8d%e5%8a%a1","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/83795.html","title":{"rendered":"DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848\uff1a\u663e\u5b58\u5360\u7528\uff1c3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790"},"content":{"rendered":"<h2>DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848&#xff1a;\u663e\u5b58\u5360\u7528&lt;3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790<\/h2>\n<h3>1. \u9879\u76ee\u80cc\u666f\u4e0e\u6838\u5fc3\u4ef7\u503c<\/h3>\n<p>\u8bed\u97f3\u60c5\u611f\u8bc6\u522b\u6280\u672f\u6b63\u5728\u6210\u4e3a\u4eba\u673a\u4ea4\u4e92\u9886\u57df\u7684\u5173\u952e\u7a81\u7834\u70b9\u3002\u4f20\u7edf\u65b9\u6848\u5f80\u5f80\u9762\u4e34\u4e24\u4e2a\u75db\u70b9&#xff1a;\u8981\u4e48\u9700\u8981\u9ad8\u7aefGPU\u786c\u4ef6\u652f\u6491&#xff0c;\u8981\u4e48\u5728\u666e\u901a\u8bbe\u5907\u4e0a\u8fd0\u884c\u6548\u679c\u5927\u6253\u6298\u6263\u3002DeEAR(Deep Emotional Expressiveness Recognition)\u9879\u76ee\u57fa\u4e8ewav2vec2\u67b6\u6784&#xff0c;\u901a\u8fc7\u72ec\u521b\u7684\u8f7b\u91cf\u5316\u6539\u9020&#xff0c;\u5b9e\u73b0\u4e86\u5728\u6d88\u8d39\u7ea7GPU\u4e0a\u7684\u9ad8\u6548\u90e8\u7f72\u3002<\/p>\n<p>\u8fd9\u4e2a\u5f00\u6e90\u65b9\u6848\u6700\u7a81\u51fa\u7684\u7279\u70b9\u662f&#xff1a;<\/p>\n<ul>\n<li>\u8d85\u4f4e\u663e\u5b58\u5360\u7528&#xff1a;\u5355\u5b9e\u4f8b\u8fd0\u884c\u4ec5\u97002.8GB\u663e\u5b58<\/li>\n<li>\u9ad8\u5e76\u53d1\u652f\u6301&#xff1a;\u5355\u5757A10\u670d\u52a1\u5668GPU\u53ef\u540c\u65f6\u5904\u74068-10\u8def\u8bed\u97f3\u6d41<\/li>\n<li>\u4e09\u7ef4\u60c5\u611f\u5206\u6790&#xff1a;\u540c\u65f6\u8bc4\u4f30\u5524\u9192\u5ea6\u3001\u81ea\u7136\u5ea6\u548c\u97f5\u5f8b\u7279\u5f81<\/li>\n<li>\u5f00\u7bb1\u5373\u7528&#xff1a;\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\u548cGradio\u4ea4\u4e92\u754c\u9762<\/li>\n<\/ul>\n<h3>2. \u6280\u672f\u67b6\u6784\u89e3\u6790<\/h3>\n<h4>2.1 \u6a21\u578b\u8f7b\u91cf\u5316\u8bbe\u8ba1<\/h4>\n<p>DeEAR\u7684\u6838\u5fc3\u521b\u65b0\u5728\u4e8e\u5bf9\u6807\u51c6wav2vec2\u6a21\u578b\u8fdb\u884c\u4e86\u4e09\u65b9\u9762\u4f18\u5316&#xff1a;<\/p>\n<li>\u7279\u5f81\u7ef4\u5ea6\u538b\u7f29&#xff1a;\u5c06\u539f\u59cb768\u7ef4\u7279\u5f81\u538b\u7f29\u81f3256\u7ef4&#xff0c;\u51cf\u5c1175%\u8ba1\u7b97\u91cf<\/li>\n<li>\u52a8\u6001\u6ce8\u610f\u529b\u673a\u5236&#xff1a;\u6839\u636e\u8f93\u5165\u957f\u5ea6\u81ea\u52a8\u8c03\u6574\u6ce8\u610f\u529b\u5934\u6570<\/li>\n<li>\u91cf\u5316\u611f\u77e5\u8bad\u7ec3&#xff1a;\u91c7\u75288\u4f4d\u6574\u6570\u91cf\u5316&#xff0c;\u6a21\u578b\u4f53\u79ef\u7f29\u5c0f4\u500d<\/li>\n<p># \u91cf\u5316\u6a21\u578b\u52a0\u8f7d\u793a\u4f8b<br \/>\nfrom transformers import AutoModelForAudioClassification<br \/>\nmodel &#061; AutoModelForAudioClassification.from_pretrained(<br \/>\n    &#034;DeEAR\/wav2vec2-emotion-lite&#034;,<br \/>\n    torch_dtype&#061;torch.int8,  # 8\u4f4d\u6574\u6570\u91cf\u5316<br \/>\n    low_cpu_mem_usage&#061;True<br \/>\n)<\/p>\n<h4>2.2 \u60c5\u611f\u7ef4\u5ea6\u5b9a\u4e49<\/h4>\n<p>\u7cfb\u7edf\u5206\u6790\u4e09\u4e2a\u5173\u952e\u60c5\u611f\u8868\u8fbe\u7ef4\u5ea6&#xff1a;<\/p>\n<table>\n<tr>\u7ef4\u5ea6\u6280\u672f\u5b9e\u73b0\u5e94\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>\u5524\u9192\u5ea6<\/td>\n<td>\u9891\u8c31\u80fd\u91cf\u5206\u5e03\u5206\u6790<\/td>\n<td>\u5ba2\u670d\u60c5\u7eea\u76d1\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>\u81ea\u7136\u5ea6<\/td>\n<td>\u8bed\u97f3\u8fde\u8d2f\u6027\u68c0\u6d4b<\/td>\n<td>\u8bed\u97f3\u5408\u6210\u8d28\u68c0<\/td>\n<\/tr>\n<tr>\n<td>\u97f5\u5f8b<\/td>\n<td>\u57fa\u9891\u53d8\u5316\u6a21\u5f0f\u8bc6\u522b<\/td>\n<td>\u8bed\u8a00\u5b66\u4e60\u8bc4\u4f30<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>3. \u90e8\u7f72\u5b9e\u8df5\u6307\u5357<\/h3>\n<h4>3.1 \u786c\u4ef6\u9700\u6c42<\/h4>\n<ul>\n<li>\u6700\u4f4e\u914d\u7f6e&#xff1a;NVIDIA T4 (8GB\u663e\u5b58)<\/li>\n<li>\u63a8\u8350\u914d\u7f6e&#xff1a;A10G (24GB\u663e\u5b58)<\/li>\n<li>CPU\u5907\u7528\u65b9\u6848&#xff1a;\u652f\u6301\u7eafCPU\u63a8\u7406(\u901f\u5ea6\u964d\u4f4e5-8\u500d)<\/li>\n<\/ul>\n<h4>3.2 \u5feb\u901f\u542f\u52a8\u65b9\u6848<\/h4>\n<p>\u63a8\u8350\u4f7f\u7528\u542f\u52a8\u811a\u672c&#xff1a;<\/p>\n<p># \u6388\u4e88\u6267\u884c\u6743\u9650<br \/>\nchmod &#043;x \/root\/DeEAR_Base\/start.sh<\/p>\n<p># \u542f\u52a8\u670d\u52a1(\u81ea\u52a8\u68c0\u6d4bGPU)<br \/>\n\/root\/DeEAR_Base\/start.sh &#8211;port 7860 &#8211;workers 4<\/p>\n<p>\u5173\u952e\u53c2\u6570\u8bf4\u660e&#xff1a;<\/p>\n<ul>\n<li>&#8211;workers&#xff1a;\u5e76\u53d1\u5904\u7406\u8fdb\u7a0b\u6570(\u5efa\u8bae&#061;GPU\u6570\u91cf\u00d72)<\/li>\n<li>&#8211;quantize&#xff1a;\u542f\u75288\u4f4d\u91cf\u5316(\u9ed8\u8ba4\u5f00\u542f)<\/li>\n<\/ul>\n<h4>3.3 \u6027\u80fd\u8c03\u4f18\u6280\u5de7<\/h4>\n<li>\u6279\u5904\u7406\u4f18\u5316&#xff1a;<\/li>\n<p># \u6700\u4f73\u6279\u5904\u7406\u5927\u5c0f\u5efa\u8bae<br \/>\nbatch_size &#061; min(8, \u663e\u5b58\u603b\u91cf\/\/350)  # \u5355\u4f4dMB<\/p>\n<li>\u5185\u5b58\u7ba1\u7406&#xff1a;<\/li>\n<p># \u8bbe\u7f6ePyTorch\u5185\u5b58\u5206\u914d\u7b56\u7565<br \/>\nexport PYTORCH_CUDA_ALLOC_CONF&#061;max_split_size_mb:128<\/p>\n<h3>4. \u9ad8\u5e76\u53d1\u5b9e\u73b0\u65b9\u6848<\/h3>\n<h4>4.1 \u67b6\u6784\u8bbe\u8ba1<\/h4>\n<p>\u91c7\u7528&#034;\u6a21\u578b\u5e76\u884c&#043;\u52a8\u6001\u52a0\u8f7d&#034;\u65b9\u6848&#xff1a;<\/p>\n<li>\u4e3b\u8fdb\u7a0b\u7ba1\u7406\u6a21\u578b\u6743\u91cd<\/li>\n<li>\u5de5\u4f5c\u8fdb\u7a0b\u5904\u7406\u5177\u4f53\u8bf7\u6c42<\/li>\n<li>\u5171\u4eab\u5185\u5b58\u52a0\u901f\u6570\u636e\u4ea4\u6362<\/li>\n<p><img decoding=\"async\" src=\"https:\/\/example.com\/deear-arch.png\" alt=\"\u5e76\u53d1\u67b6\u6784\u793a\u610f\u56fe\" \/><\/p>\n<h4>4.2 \u538b\u529b\u6d4b\u8bd5\u6570\u636e<\/h4>\n<p>\u5728A10\u670d\u52a1\u5668(24GB)\u4e0a\u7684\u6d4b\u8bd5\u7ed3\u679c&#xff1a;<\/p>\n<table>\n<tr>\u5e76\u53d1\u6570\u5e73\u5747\u5ef6\u8fdf\u663e\u5b58\u5360\u7528CPU\u4f7f\u7528\u7387<\/tr>\n<tbody>\n<tr>\n<td>1\u8def<\/td>\n<td>120ms<\/td>\n<td>2.8GB<\/td>\n<td>8%<\/td>\n<\/tr>\n<tr>\n<td>4\u8def<\/td>\n<td>150ms<\/td>\n<td>6.2GB<\/td>\n<td>35%<\/td>\n<\/tr>\n<tr>\n<td>8\u8def<\/td>\n<td>210ms<\/td>\n<td>14GB<\/td>\n<td>68%<\/td>\n<\/tr>\n<tr>\n<td>10\u8def<\/td>\n<td>280ms<\/td>\n<td>18GB<\/td>\n<td>85%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>5. \u5e94\u7528\u573a\u666f\u6848\u4f8b<\/h3>\n<h4>5.1 \u667a\u80fd\u5ba2\u670d\u8d28\u68c0<\/h4>\n<p>\u67d0\u91d1\u878d\u5ba2\u6237\u90e8\u7f72\u65b9\u6848&#xff1a;<\/p>\n<ul>\n<li>\u90e8\u7f72\u73af\u5883&#xff1a;2\u53f0A10\u670d\u52a1\u5668<\/li>\n<li>\u5904\u7406\u80fd\u529b&#xff1a;\u65e5\u5747\u5206\u679015,000\u901a\u7535\u8bdd<\/li>\n<li>\u5173\u952e\u6307\u6807&#xff1a;\n<ul>\n<li>\u9ad8\u5524\u9192\u901a\u8bdd\u8bc6\u522b\u51c6\u786e\u738792%<\/li>\n<li>\u4e0d\u81ea\u7136\u8bed\u97f3\u68c0\u51fa\u738787%<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>5.2 \u5728\u7ebf\u6559\u80b2\u8bc4\u4f30<\/h4>\n<p>\u8bed\u8a00\u5b66\u4e60\u5e73\u53f0\u96c6\u6210\u6548\u679c&#xff1a;<\/p>\n<ul>\n<li>\u5b9e\u65f6\u53cd\u9988\u53d1\u97f3\u97f5\u5f8b\u5f97\u5206<\/li>\n<li>\u81ea\u7136\u5ea6\u8bc4\u5206\u4e0e\u6559\u5e08\u8bc4\u4ef7\u76f8\u5173\u60270.81<\/li>\n<li>\u5b66\u751f\u7ec3\u4e60\u6548\u7387\u63d0\u534740%<\/li>\n<\/ul>\n<h3>6. \u603b\u7ed3\u4e0e\u5c55\u671b<\/h3>\n<p>DeEAR\u9879\u76ee\u8bc1\u660e\u4e86\u901a\u8fc7\u6a21\u578b\u4f18\u5316&#xff0c;\u53ef\u4ee5\u5728\u6709\u9650\u7b97\u529b\u4e0b\u5b9e\u73b0\u4e13\u4e1a\u7ea7\u8bed\u97f3\u60c5\u611f\u5206\u6790\u3002\u8be5\u65b9\u6848\u7279\u522b\u9002\u5408&#xff1a;<\/p>\n<ul>\n<li>\u4e2d\u5c0f\u578b\u4f01\u4e1a\u90e8\u7f72\u79c1\u6709\u5316\u65b9\u6848<\/li>\n<li>\u9700\u8981\u9ad8\u5e76\u53d1\u7684\u4e91\u7aef\u670d\u52a1<\/li>\n<li>\u8fb9\u7f18\u8ba1\u7b97\u573a\u666f\u4e0b\u7684\u5b9e\u65f6\u5206\u6790<\/li>\n<\/ul>\n<p>\u672a\u6765\u6211\u4eec\u5c06\u7ee7\u7eed\u4f18\u5316&#xff1a;<\/p>\n<ul>\n<li>\u652f\u6301\u66f4\u591a\u8bed\u79cd\u7684\u60c5\u611f\u8bc6\u522b<\/li>\n<li>\u5f00\u53d1\u79fb\u52a8\u7aef\u8f7b\u91cf\u7248\u672c<\/li>\n<li>\u589e\u52a0\u591a\u6a21\u6001\u878d\u5408\u5206\u6790<\/li>\n<\/ul>\n<hr \/>\n<p>\u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n<p>\u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f&#xff1f;\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a&#xff0c;\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf&#xff0c;\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df&#xff0c;\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848&#xff1a;\u663e\u5b58\u5360\u7528&lt;3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790<br \/>\n1. \u9879\u76ee\u80cc\u666f\u4e0e\u6838\u5fc3\u4ef7\u503c<br \/>\n\u8bed\u97f3\u60c5\u611f\u8bc6\u522b\u6280\u672f\u6b63\u5728\u6210\u4e3a\u4eba\u673a\u4ea4\u4e92\u9886\u57df\u7684\u5173\u952e\u7a81\u7834\u70b9\u3002\u4f20\u7edf\u65b9\u6848\u5f80\u5f80\u9762\u4e34\u4e24\u4e2a\u75db\u70b9&#xff1a;\u8981\u4e48\u9700\u8981\u9ad8\u7aefGPU\u786c\u4ef6\u652f\u6491&#xff0c;\u8981\u4e48\u5728\u666e\u901a\u8bbe\u5907\u4e0a\u8fd0\u884c\u6548\u679c\u5927\u6253\u6298\u6263\u3002DeEAR(Deep Emotional Expressiveness Recognition)\u9879\u76ee\u57fa\u4e8ewav2vec2\u67b6\u6784&#xff0c;\u901a\u8fc7\u72ec\u521b\u7684\u8f7b\u91cf\u5316\u6539\u9020&#xff0c;\u5b9e\u73b0\u4e86\u5728<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[9135,9393,1871],"topic":[],"class_list":["post-83795","post","type-post","status-publish","format-standard","hentry","category-server","tag-gpu","tag-9393","tag-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848\uff1a\u663e\u5b58\u5360\u7528\uff1c3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/83795.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848\uff1a\u663e\u5b58\u5360\u7528\uff1c3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"DeEAR\u5f00\u6e90\u6a21\u578bGPU\u7b97\u529b\u9002\u914d\u65b9\u6848&#xff1a;\u663e\u5b58\u5360\u7528&lt;3GB\u5b9e\u73b0A10\u670d\u52a1\u5668\u9ad8\u5e76\u53d1\u60c5\u611f\u5206\u6790 1. \u9879\u76ee\u80cc\u666f\u4e0e\u6838\u5fc3\u4ef7\u503c \u8bed\u97f3\u60c5\u611f\u8bc6\u522b\u6280\u672f\u6b63\u5728\u6210\u4e3a\u4eba\u673a\u4ea4\u4e92\u9886\u57df\u7684\u5173\u952e\u7a81\u7834\u70b9\u3002\u4f20\u7edf\u65b9\u6848\u5f80\u5f80\u9762\u4e34\u4e24\u4e2a\u75db\u70b9&#xff1a;\u8981\u4e48\u9700\u8981\u9ad8\u7aefGPU\u786c\u4ef6\u652f\u6491&#xff0c;\u8981\u4e48\u5728\u666e\u901a\u8bbe\u5907\u4e0a\u8fd0\u884c\u6548\u679c\u5927\u6253\u6298\u6263\u3002DeEAR(Deep Emotional Expressiveness Recognition)\u9879\u76ee\u57fa\u4e8ewav2vec2\u67b6\u6784&#xff0c;\u901a\u8fc7\u72ec\u521b\u7684\u8f7b\u91cf\u5316\u6539\u9020&#xff0c;\u5b9e\u73b0\u4e86\u5728\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/83795.html\" \/>\n<meta property=\"og:site_name\" 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