﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:trackback="http://madskills.com/public/xml/rss/module/trackback/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/"><channel><title>C++博客-YanHank的博客</title><link>http://www.cppblog.com/icelights/</link><description /><language>zh-cn</language><lastBuildDate>Sun, 31 May 2026 04:39:00 GMT</lastBuildDate><pubDate>Sun, 31 May 2026 04:39:00 GMT</pubDate><ttl>60</ttl><item><title>tf.contrib.learn分配 GPU显存方法</title><link>http://www.cppblog.com/icelights/archive/2018/12/12/216118.html</link><dc:creator>YanHank</dc:creator><author>YanHank</author><pubDate>Tue, 11 Dec 2018 16:45:00 GMT</pubDate><guid>http://www.cppblog.com/icelights/archive/2018/12/12/216118.html</guid><wfw:comment>http://www.cppblog.com/icelights/comments/216118.html</wfw:comment><comments>http://www.cppblog.com/icelights/archive/2018/12/12/216118.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cppblog.com/icelights/comments/commentRss/216118.html</wfw:commentRss><trackback:ping>http://www.cppblog.com/icelights/services/trackbacks/216118.html</trackback:ping><description><![CDATA[<div>设置GPU显存的方法和我们通常用tf.Session(config=tf_config)一样，可以通过tf_config.gpu_options.allow_growth = True设置为自动分配显存，或者用tf_config.gpu_options.per_process_gpu_memory_fraction = 0.5指定百分比。<br /><br />区别在于，调用时这里不能直接指定session_config，需要用replace的方法把config设置到run_config中。</div><div></div><div><div style="background-color:#eeeeee;font-size:13px;border:1px solid #CCCCCC;padding-right: 5px;padding-bottom: 4px;padding-left: 4px;padding-top: 4px;width: 98%;word-break:break-all"><!--<br /><br />Code highlighting produced by Actipro CodeHighlighter (freeware)<br />http://www.CodeHighlighter.com/<br /><br />--><span style="color: #008080; ">&nbsp;1</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;tf_config&nbsp;</span><span style="color: #000000; ">=</span><span style="color: #000000; ">&nbsp;tf.ConfigProto()<br /></span><span style="color: #008080; ">&nbsp;2</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;tf_config.gpu_options.allow_growth&nbsp;</span><span style="color: #000000; ">=</span><span style="color: #000000; ">&nbsp;True<br /></span><span style="color: #008080; ">&nbsp;3</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;</span><span style="color: #008000; ">#</span><span style="color: #008000; ">tf_config.gpu_options.per_process_gpu_memory_fraction&nbsp;=&nbsp;0.5&nbsp;#如果是手动指定百分比</span><span style="color: #008000; "><br /></span><span style="color: #008080; ">&nbsp;4</span>&nbsp;<span style="color: #008000; "></span><span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;run_config&nbsp;</span><span style="color: #000000; ">=</span><span style="color: #000000; ">&nbsp;tf.contrib.learn.RunConfig(<br /></span><span style="color: #008080; ">&nbsp;5</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;model_dir</span><span style="color: #000000; ">=</span><span style="color: #000000; ">Config.train.model_dir,<br /></span><span style="color: #008080; ">&nbsp;6</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;save_checkpoints_steps</span><span style="color: #000000; ">=</span><span style="color: #000000; ">Config.train.save_checkpoints_steps,<br /></span><span style="color: #008080; ">&nbsp;7</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;).replace(session_config</span><span style="color: #000000; ">=</span><span style="color: #000000; ">tf_config)<br /></span><span style="color: #008080; ">&nbsp;8</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;<br /></span><span style="color: #008080; ">&nbsp;9</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;tf.contrib.learn.learn_runner.run(<br /></span><span style="color: #008080; ">10</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;experiment_fn</span><span style="color: #000000; ">=</span><span style="color: #000000; ">experiment_fn,<br /></span><span style="color: #008080; ">11</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;run_config</span><span style="color: #000000; ">=</span><span style="color: #000000; ">run_config,<br /></span><span style="color: #008080; ">12</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;schedule</span><span style="color: #000000; ">=</span><span style="color: #000000; ">mode,<br /></span><span style="color: #008080; ">13</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;hparams</span><span style="color: #000000; ">=</span><span style="color: #000000; ">params<br /></span><span style="color: #008080; ">14</span>&nbsp;<span style="color: #000000; ">&nbsp;&nbsp;&nbsp;&nbsp;)</span></div></div><img src ="http://www.cppblog.com/icelights/aggbug/216118.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cppblog.com/icelights/" target="_blank">YanHank</a> 2018-12-12 00:45 <a href="http://www.cppblog.com/icelights/archive/2018/12/12/216118.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item></channel></rss>