<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[asdzxcNB的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/asdzxcNB</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; asdzxcNB]]></copyright><item><title><![CDATA[wandbdocker ‘NoneType‘ object has no attribute ‘split‘]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/149526966</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/149526966</guid><author>asdzxcNB</author><pubDate>Tue, 22 Jul 2025 09:32:39 +0800</pubDate><description><![CDATA[按照这个部署docker本地版https://lumiowo.github.io/2023/03/27/WandB-%E6%9C%AC%E5%9C%B0%E6%9C%8D%E5%8A%A1%E5%99%A8%E9%83%A8%E7%BD%B2/，修改/miniconda3/lib/python3.12/site-packages/wandb/cli/cli.py"在运行wandb server start -p 8080的时候报错，把registry下面的都注释掉就不会报这个错了，估计也是被墙的原因。]]></description><category></category></item><item><title><![CDATA[hdf5不支持多线程访问读取]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145760088</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145760088</guid><author>asdzxcNB</author><pubDate>Thu, 20 Feb 2025 18:16:17 +0800</pubDate><description><![CDATA[data = h5f[dataset_name]  # 读取数据集。#     #     data = h5f[dataset_name]  # 读取数据集。#     # 使用 ThreadPoolExecutor 并行读取。#     并行读取 HDF5 文件中的所有数据集。#     读取 HDF5 文件中的指定数据集。#         # 使用 tqdm 显示进度。#     # 先获取所有数据集的名称。#         # 提交任务。]]></description><category></category></item><item><title><![CDATA[重写dataset后dataloader的动态变化]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145665032</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145665032</guid><author>asdzxcNB</author><pubDate>Sun, 16 Feb 2025 14:26:59 +0800</pubDate><description><![CDATA[总结：如果要实现动态变化的dataloader，必须重写dataset的len方法。]]></description><category></category></item><item><title><![CDATA[teaser++ 编译过程]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145398538</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145398538</guid><author>asdzxcNB</author><pubDate>Thu, 30 Jan 2025 13:46:11 +0800</pubDate><description><![CDATA[亲测3.8版本python可以正常编译使用。]]></description><category></category></item><item><title><![CDATA[gan网络训练]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145290429</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145290429</guid><author>asdzxcNB</author><pubDate>Tue, 21 Jan 2025 21:02:32 +0800</pubDate><description><![CDATA[判别器和生成器的损失如果某一个快速稳定在某一个值，就要好好调参了，例如生成器或者判别器某个框架的网络结构弱了或者强了，还有调loss参数。难怪gan被diffusion取代，太难训了。]]></description><category></category></item><item><title><![CDATA[diffusion policy训练代码 replay buffer部分]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145268634</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145268634</guid><author>asdzxcNB</author><pubDate>Mon, 20 Jan 2025 20:08:49 +0800</pubDate><description><![CDATA[怎么资料这么少啊，问gpt还给了个self.replay_buffer[‘/meta’].rename函数来进行重命名。这个replay buffer用的是一个zarr的库来加载数据。最后发现直接create之后赋值就行。结果根本就没有rename这个属性。]]></description><category></category></item><item><title><![CDATA[optimizer位置导致的非常奇怪的bug]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/145250791</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/145250791</guid><author>asdzxcNB</author><pubDate>Mon, 20 Jan 2025 02:26:18 +0800</pubDate><description><![CDATA[我这次的代码需要使用判别器，正确用法应该如下所示optimizer_d.zero_grad()#清除旧的梯度。]]></description><category></category></item><item><title><![CDATA[wandb本地部署]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/144820367</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/144820367</guid><author>asdzxcNB</author><pubDate>Mon, 30 Dec 2024 11:56:45 +0800</pubDate><description><![CDATA[另外我发现entity不为空的时候会有问题，可能是因为我是免费版wandb license，所以自己用的话把entity记得删掉就可以嘞。wandb login的时候  ip和port改成内网穿透后的就可以。在本地服务器使用内网穿透把8080 发布到对应的ip和端口。按照上面这篇文章的流程。]]></description><category></category></item><item><title><![CDATA[diffusion_policy测试记录]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/144677014</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/144677014</guid><author>asdzxcNB</author><pubDate>Mon, 23 Dec 2024 20:33:45 +0800</pubDate><description><![CDATA[保存下来的ckpt内涵的参数如下，其中n_envs设置为28实测在4060上会报错，不能开太大，3090正常。]]></description><category></category></item><item><title><![CDATA[diffusion_policy库train\eval出现ffmpeg报错 av.error.FFmpegE，[libx264] Error setting option profile to val]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/144674589</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/144674589</guid><author>asdzxcNB</author><pubDate>Mon, 23 Dec 2024 18:09:40 +0800</pubDate><description><![CDATA[警醒： 以后安装环境一定要follow好原作者的环境设置。不然这报错也太抽象了，根本不提示是版本问题。av库的版本一定要小于等于12.0。卡了一个多小时，现在问题解决了。]]></description><category></category></item><item><title><![CDATA[rlbench安装]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/144558927</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/144558927</guid><author>asdzxcNB</author><pubDate>Wed, 18 Dec 2024 13:32:28 +0800</pubDate><description><![CDATA[按照 https://blog.youkuaiyun.com/konodiodaaa/article/details/132418648。百度搜索（2024年12月18日） github rlbench，第一个搜索结果是非官方的库，装起来用不了。按照https://github.com/stepjam/RLBench#install的标准流程。基于ubuntu20的rlbench安装流程（丝滑少坑）将–user的安装替换为pip install -e .rlbench的两个依赖以后按顺序就行。]]></description><category></category></item><item><title><![CDATA[新电脑安装Nvidia显卡和cuda总结]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/144544684</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/144544684</guid><author>asdzxcNB</author><pubDate>Tue, 17 Dec 2024 21:05:09 +0800</pubDate><description><![CDATA[在software update安装非open kernel版本的显卡驱动。安装miniconda的时候   init那一行写yes。搜狗输入法记得把依赖装好以后重装一次， 重启后就能用了。安装runfile版本的cuda。注意两个版本能够匹配。]]></description><category></category></item><item><title><![CDATA[pandas版本导致错误‘DataFrame‘ object has no attribute ‘get_dtype_counts‘]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/108479570</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/108479570</guid><author>asdzxcNB</author><pubDate>Tue, 08 Sep 2020 23:16:55 +0800</pubDate><description><![CDATA[复现代码
使用get_dtype_counts()函数时出现如下错误
‘DataFrame’ object has no attribute ‘get_dtype_counts’
问题原因：我安装的pandas版本是1.1.1
根据下文指出  pandas   0.25之后的版本后应该更改此命令为
.dtypes.value_counts()
更改后成功运行
https://www.cjavapy.com/article/478/

...]]></description><category></category></item><item><title><![CDATA[jupyter虚拟环境import numpy出错 没找到指定模块 通过navigator解决]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/108466217</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/108466217</guid><author>asdzxcNB</author><pubDate>Tue, 08 Sep 2020 12:29:07 +0800</pubDate><description><![CDATA[网上看了很多方法
这里贴一个问题相关但我没用上的博文
https://blog.youkuaiyun.com/MumuziD/article/details/105672799
《使用jupyter切换子环境，以及导致的找不到指定模块和找不到指定的程序问题…》
使用了上文的方法重新打开jupyter尝试导入numpy还是显示找不到指定模块
解决方法
打开anaconda navigator   在主界面从base环境切换到虚拟环境
点击虚拟环境里的jupyter install
在子环境的anaconda中启动jupy]]></description><category></category></item><item><title><![CDATA[WIN10 1660ti gpu caffe Unsupported gpu architecture ‘compute_90]]></title><link>https://blog.youkuaiyun.com/asdzxcNB/article/details/107516077</link><guid>https://blog.youkuaiyun.com/asdzxcNB/article/details/107516077</guid><author>asdzxcNB</author><pubDate>Wed, 22 Jul 2020 17:27:22 +0800</pubDate><description><![CDATA[编译caffe  build_win.cmd出现这个问题需要修改caffe文件夹下cmake\cuda.cmake
原因是gpu版本不支持cuda8.0
卸载cuda8.0 安装cuda10.0
参考博客 1.https://blog.youkuaiyun.com/u014629875/article/details/78704319
2.https://blog.youkuaiyun.com/xiakejiang/article/details/101019709
3.https://blog.youkuaiyun.com/qq_37118]]></description><category></category></item></channel></rss>