<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_42363777的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_42363777</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_42363777]]></copyright><item><title><![CDATA[Mac安装openclaw写飞书云文档]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/158072365</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/158072365</guid><author>qq_42363777</author><pubDate>Sat, 14 Feb 2026 18:42:53 +0800</pubDate><description><![CDATA[本文结合官方教程，整理了简洁的**openclaw安装**，**绑定飞书机器人**并**按要求写飞书云文档**的过程。]]></description><category></category></item><item><title><![CDATA[论文管理神器：Zotero 7 + 坚果云+ipad配置]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/156549241</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/156549241</guid><author>qq_42363777</author><pubDate>Sun, 04 Jan 2026 01:12:46 +0800</pubDate><description><![CDATA[本文介绍了Zotero 7与坚果云、iPad的协同配置方案。通过Zotero原生重命名功能与ZotMoov插件配合，实现PDF自动重命名、移动至外部文件夹并保持关联。具体步骤包括：1)坚果云同步zotero_papers文件夹；2)Zotero WebDAV设置；3)配置链接附件根目录；4)设置文件重命名规则；5)安装并配置ZotMoov插件实现文件自动移动和删除联动。该方案将元数据与PDF文件分离存储，便于多设备同步管理学术文献。]]></description><category></category></item><item><title><![CDATA[【环境配置】多cuda版本多pytorch版本配置]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/139414429</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/139414429</guid><author>qq_42363777</author><pubDate>Mon, 03 Jun 2024 15:15:21 +0800</pubDate><description><![CDATA[tar cudnn-10.1-linux-x64-v8.0.4.30.tgz #解压。2.安装cudnn版本。注意，这里使用安装到CUDA文件夹的方式。2.注意注释掉 etc/profile中关于CUDA路径的命令。1.使用时，切换不同的CUDA path和对应的环境即可。2.安装cudnn版本。注意，这里按照官方即可。3.安装pytorch 1.12.1。1.下载cudnn的压缩包。3.安装pytorch 2.3。1.安装CUDA11.3。3.拷贝到cuda文件夹。1.安装CUDA12.1。]]></description><category></category></item><item><title><![CDATA[【编程BUG】Pytorch中的+=操作]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/131467988</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/131467988</guid><author>qq_42363777</author><pubDate>Fri, 30 Jun 2023 04:00:10 +0800</pubDate><description><![CDATA[运行会报错：RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.HalfTensor [64, 256]], which is output 0 of ReluBackward0, is at version 18;用于行为识别的TRN代码中有一段代码。]]></description><category></category></item><item><title><![CDATA[【编程BUG】Pytorch 使用DataParallel时报告数据和模型不在同一个设备上的错误]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/131364933</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/131364933</guid><author>qq_42363777</author><pubDate>Sat, 24 Jun 2023 18:44:38 +0800</pubDate><description><![CDATA[解决Pytorch 使用DataParallel时报告数据和模型不在同一个设备上的错误]]></description><category></category></item><item><title><![CDATA[Linux (ubuntu)服务器上anoconda用户环境和系统环境串在一起]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/130257259</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/130257259</guid><author>qq_42363777</author><pubDate>Thu, 20 Apr 2023 05:39:26 +0800</pubDate><description><![CDATA[ubuntu上anoconda用户环境和系统环境的管理问题。]]></description><category></category></item><item><title><![CDATA[Zoreto+坚果云+pdf expert(papership) 实现文献管理和批注同步]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/125462821</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/125462821</guid><author>qq_42363777</author><pubDate>Sat, 25 Jun 2022 22:06:32 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[【BUG】linux新建一个screen，tqdm正常。screen -r 命令复原窗口后tqdm进度条出现中文乱码]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/124193552</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/124193552</guid><author>qq_42363777</author><pubDate>Fri, 15 Apr 2022 14:07:22 +0800</pubDate><description><![CDATA[解决办法：
在管理员账户输入 vim ~/.screenrc，添加下面两句：

defencoding GBK
encoding UTF-8 GBK

PS：常用的查看编码的命令：

locale 查看编码
LANG=UTF-8 更改终端编码
locale -a 打印已安装编码库


]]></description><category></category></item><item><title><![CDATA[wandb.log()的异常]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/123911445</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/123911445</guid><author>qq_42363777</author><pubDate>Sat, 02 Apr 2022 00:42:31 +0800</pubDate><description><![CDATA[wandb使用注意]]></description><category></category></item><item><title><![CDATA[简洁版Ubuntu安装FFMPEG（支持GPU加速）]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/120942464</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/120942464</guid><author>qq_42363777</author><pubDate>Sun, 24 Oct 2021 23:06:34 +0800</pubDate><description><![CDATA[简洁版Ubuntu安装FFMPEG（支持GPU加速）
默认CUDA工具已经安装，如果没有安装，网上教程一般都有效。
检查CUDA 已经安装, 命令行输入：
nvcc -V

结果：

接下来开始安装
理论上可以cd到任意目录下进行下面的操作，相应的文件也会下载到对应目录。看读者喜好和个人文件管理习惯。
1.安装ffnvvodec （GPU加速用）
参考是这里.
//Clone ffnvcodec
git clone https://git.videolan.org/git/ffmpeg/nv-codec-h]]></description><category></category></item><item><title><![CDATA[2021-03-01]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/114282717</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/114282717</guid><author>qq_42363777</author><pubDate>Tue, 02 Mar 2021 13:06:57 +0800</pubDate><description><![CDATA[pytorch中对Tensor进行分块的操作: split()
tensor.split(selection_or_int,dim)，返回的是一个列表，第一个参数是Int, 则按照参数的值在dim上均分（最后一组保留）。如果是List, 则List中包含了每块的大小。
reshape_bottleneck = torch.randn((8, 8, 16, 26, 26))
t_fea_forward, _ = reshape_bottleneck.split([8 - 1, 1], dim=1)  # n,]]></description><category></category></item><item><title><![CDATA[pytorch中view()和flatten]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/113545884</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/113545884</guid><author>qq_42363777</author><pubDate>Tue, 02 Feb 2021 11:25:08 +0800</pubDate><description><![CDATA[直接说结论，view()和flatten都是和输入共享内存的，flatten的好处是不用输入形状参数，直接指定维度，在这之后的都被拉平。view则是更加灵活
示验证代码：
import torch

t = torch.tensor([[[1, 2],
                   [3, 4]],
                  [[5, 6],
                   [7, 8]]])
# ---flatten用法----
print('flatten1')
print(to]]></description><category></category></item><item><title><![CDATA[Vision Transformer综述阅读（1）]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/113502306</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/113502306</guid><author>qq_42363777</author><pubDate>Tue, 02 Feb 2021 10:33:59 +0800</pubDate><description><![CDATA[Vision Transformer综述阅读主要内容提要正文
主要内容
提要
根据极客平台 vision transformer综述所记录的学习心得。
正文

这一段用于Decoder中的Mask attention, 注意的点是使用masked_fill填充和使用dropout的位置
图示: 


class ScaledDotProductAttention(nn.Module):
    ''' Scaled Dot-Product Attention '''

    def __init__(se]]></description><category></category></item><item><title><![CDATA[14天学习深度学习（pytorch）笔记（第二次）]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/104363819</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/104363819</guid><author>qq_42363777</author><pubDate>Mon, 17 Feb 2020 20:01:19 +0800</pubDate><description><![CDATA[挑了一些认为比较重要的记了一下]]></description><category></category></item><item><title><![CDATA[14天学习深度学习（pytorch）笔记（第一天）]]></title><link>https://blog.youkuaiyun.com/qq_42363777/article/details/104317099</link><guid>https://blog.youkuaiyun.com/qq_42363777/article/details/104317099</guid><author>qq_42363777</author><pubDate>Fri, 14 Feb 2020 18:38:46 +0800</pubDate><description><![CDATA[第一天的知识点里，线性回归，softmax，多层感知机的知识点比较熟悉，没有笔记。文本处理和语言模型是没有接触过的，比较棘手。主要整理了编程的注意点如下。]]></description><category></category></item></channel></rss>