<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Torch Machine Learning</title><link>http://www.bing.com:80/search?q=Torch+Machine+Learning</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Torch Machine Learning</title><link>http://www.bing.com:80/search?q=Torch+Machine+Learning</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>如何安装torch（Python）? - 知乎</title><link>https://www.zhihu.com/question/511989731</link><description>我一般在官网上找到操作系统、是否带CUDA的安装命令，在命令行里敲命令安装。 在Ubuntu上安装CUDA12.1版本的PyTorch，直接用pip install torch torchvision torchaudio命令。 题主做深度学习的话，还是使用Ubuntu系统吧。深度学习程序员最常用的操作系统了，你在公司里干活，使用的系统大都是Ubuntu。遇到问题 ...</description><pubDate>Wed, 01 Apr 2026 06:15:00 GMT</pubDate></item><item><title>如何在 python 中安装 torch？ - 知乎</title><link>https://www.zhihu.com/question/634282378</link><description>cv nlp领域的一颗蒲公英 2 人赞同了该回答 最简单的方法 pip / conda install torch 但是要注意两个地方 1你运行的程序通常对torch版本有要求，要根据你硬件情况（cuda 版本）和python版本来找到合适的torch 2如果是为了深度学习要注意是否是gpu版本 发布于 2024-01-23 23:58 知 ...</description><pubDate>Sat, 14 Mar 2026 16:45:00 GMT</pubDate></item><item><title>pytorch安装教程（图文详解）</title><link>https://www.zhihu.com/tardis/zm/art/681417713</link><description>（1）先配置torch环境。 先打开Anaconda Prompt (anaconda) 下面我们分析一下anaconda prompt每一条命令行的结构。 （base）指的是当前所在的python环境是base环境。 C:UsersYYF&gt;指的是当前anaconda prompt所在的文件夹位置，我们要执行相关指令只需要在&gt;后面输入指令，回车运行即可。</description><pubDate>Sat, 04 Apr 2026 18:58:00 GMT</pubDate></item><item><title>关于comfyui安装xformers，以及torch，torchaduio，torchvision的匹配问题（超详细）（上）</title><link>https://www.zhihu.com/tardis/bd/art/1947818641300099238</link><description>写的很清楚，v0.0.32的轮子使用pytorch2.8.0构建的，至于其他什么v0.0.32.post1还是post2，基本也是跟这个一样，上面都有写 2.确定pytorch版本支持那些cuda版本 一说到torch,那就肯定会有torchaduio,torchvision，这三个是一体的，这三个之间也有相对应的关系，这时候直接上pytorch的官网查看 pytorch的官网</description><pubDate>Thu, 02 Apr 2026 16:01:00 GMT</pubDate></item><item><title>如何安装torch（Python）? - 知乎</title><link>https://www.zhihu.com/question/511989731/answers/updated</link><description>尝试过在pycharm里面使用各种镜像源安装不了，官网连接安装不了，anaconda安装不了</description><pubDate>Sun, 22 Feb 2026 21:19:00 GMT</pubDate></item><item><title>Python中说no module named ＂torch＂是什么情况?</title><link>https://www.zhihu.com/question/418284896</link><description>原因 这是一行作为小白时常犯的错，这个报错说明在你电脑当前环境下没有安装torch这个模块 解决办法 系统环境：Win10+Python3.6 此处推荐第三种方法到官网获取相关安装指令： 1、默认安装新版本torch pip install torch 2、安装指定版本torch pip install torch===1.7.0 3、安装torch及其相关第三方库（官网获取命令 ...</description><pubDate>Thu, 26 Mar 2026 05:04:00 GMT</pubDate></item><item><title>Torch Coral ID Guide | Reef2Reef</title><link>https://www.reef2reef.com/threads/torch-coral-id-guide.977697/</link><description>Torch Coral ID is a very popular question lately. It's hard to say the exact reason why, but there is good reason to know what torch coral you are looking at.</description><pubDate>Thu, 02 Apr 2026 03:22:00 GMT</pubDate></item><item><title>Brown Jelly Disease with Torch - Currently recommend treatments?</title><link>https://www.reef2reef.com/threads/brown-jelly-disease-with-torch-currently-recommend-treatments.1077881/</link><description>I /think/ my torch has BJD. I took the brown goop off of the skeleton-showing/recessed part of the coral and put it under a microscope and saw what looked similar to what I've seen other users post. If so, thoughts on what I can do to save this coral, but most importantly, protect the rest?</description><pubDate>Wed, 01 Apr 2026 14:01:00 GMT</pubDate></item><item><title>torch和torchvision区别是什么？ - 知乎</title><link>https://www.zhihu.com/question/566477739</link><description>torch 是基本的数据处理与神经网络模型训练第三方库。 包含了数据集加载、数据处理、模型搭建、模型初始化、训练参数设置、自动求导等等。 可以实现神经网络模型的搭建、训练、加载。 总之，训练神经网络模型，甭管是CV、NLP、多模态，就用它就对了。</description><pubDate>Sat, 04 Apr 2026 23:16:00 GMT</pubDate></item><item><title>torch.bmm（）函数</title><link>https://www.zhihu.com/tardis/zm/art/602224920</link><description>mat2=torch.reshape (mat1, (3,2)) print (mat2) result=torch.bmm (mat1,mat2) 运行： 示例2：三维数据相乘成功 c=torch.randn ( (1,2,5)) d=torch.reshape (c, (1,5,2)) e=torch.bmm (c,d) print (e) print (e.shape) 运行： 示例3：三维数据相乘成功 input = torch.randn (10, 3, 4) #10个3*4矩阵 mat2 = torch.randn (10, 4, 5) #10个 ...</description><pubDate>Thu, 26 Mar 2026 00:25:00 GMT</pubDate></item></channel></rss>