<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[没报错的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/m0_50907280</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; m0_50907280]]></copyright><item><title><![CDATA[RuntimeError: Tensor.item() cannot be called on meta tensors(InternVL 3.5推理报错)]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/160184139</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/160184139</guid><author>m0_50907280</author><pubDate>Wed, 15 Apr 2026 16:21:54 +0800</pubDate><description><![CDATA[把 transformers降到5以下，下面这两个都可以。]]></description><category></category></item><item><title><![CDATA[安装Video-LLaVA环境]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/159953863</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/159953863</guid><author>m0_50907280</author><pubDate>Thu, 09 Apr 2026 10:31:48 +0800</pubDate><description><![CDATA[把import torchvision.transforms.functional_tensor as F_t改为。把numpy降到1.26.4       pip install numpy==1.26.4。报错2：因为torchvison版本太新，调用方式变了。报错1：numpy版本太高。]]></description><category></category></item><item><title><![CDATA[下载从modelscope命令行下载QWen权重]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/159947678</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/159947678</guid><author>m0_50907280</author><pubDate>Wed, 08 Apr 2026 10:16:46 +0800</pubDate><description><![CDATA[如果还解决不了尝试重新安装 modelscope：（我是用这个命令解决的）]]></description><category></category></item><item><title><![CDATA[解决IndexError: The shape of the mask [] at index 0 does not match the shape of the indexed tensor []]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/159444978</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/159444978</guid><author>m0_50907280</author><pubDate>Wed, 25 Mar 2026 00:50:49 +0800</pubDate><description><![CDATA[原本使用的transformers5.3.0，降级到 transformers 5.2.0，它就完全正常了。]]></description><category></category></item><item><title><![CDATA[所有小初高、大学PDF教材--github]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/157556723</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/157556723</guid><author>m0_50907280</author><pubDate>Fri, 30 Jan 2026 23:58:07 +0800</pubDate><description><![CDATA[https://github.com/TapXWorld/ChinaTextbook]]></description><category></category></item><item><title><![CDATA[一键安装 Miniconda]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/151750576</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/151750576</guid><author>m0_50907280</author><pubDate>Tue, 16 Sep 2025 10:18:39 +0800</pubDate><description><![CDATA[安装后重新开一个终端，就可以直接用。]]></description><category></category></item><item><title><![CDATA[在Ubuntu系统中，多种命令行工具来压缩文件和文件夹。最常用的工具是tar和gzip的组合，以及zip和unzip工具。]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/151692618</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/151692618</guid><author>m0_50907280</author><pubDate>Mon, 15 Sep 2025 00:48:51 +0800</pubDate><description><![CDATA[确保你在命令中指定的路径是正确的，并且你有足够的权限访问和修改这些文件。如果你在执行这些命令时遇到权限问题，可能需要在命令前加上。]]></description><category></category></item><item><title><![CDATA[【亲测可用】Ubuntu服务器安装docker，Docker安装完成运行hello-world镜像失败：Unable to find image ‘hello-world:latest‘ locall]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/150958806</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/150958806</guid><author>m0_50907280</author><pubDate>Thu, 28 Aug 2025 18:20:24 +0800</pubDate><description><![CDATA[在评论区获得镜像地址。]]></description><category></category></item><item><title><![CDATA[Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM 安装与测试]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/150938449</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/150938449</guid><author>m0_50907280</author><pubDate>Thu, 28 Aug 2025 16:29:25 +0800</pubDate><description><![CDATA[Ubuntu 服务器，conda 环境，并且 CUDA=12.2。]]></description><category></category></item><item><title><![CDATA[ImportError: cannot import name ‘datapoints‘ from ‘torchvision‘]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/145306794</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/145306794</guid><author>m0_50907280</author><pubDate>Wed, 22 Jan 2025 16:56:55 +0800</pubDate><description><![CDATA[是由于版本不兼容或未正确安装导致的。]]></description><category></category></item><item><title><![CDATA[AttributeError: ‘builtin_function_or_method‘ object has no attribute ‘default‘]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/144022861</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/144022861</guid><author>m0_50907280</author><pubDate>Mon, 25 Nov 2024 11:27:56 +0800</pubDate><description><![CDATA[遇到的错误是因为版本与 PyTorch 版本不兼容。具体来说，您使用的 PyTorch 版本是 1.11.0，而您使用的版本是 2.6.1。根据的维护者 akihironitta 的建议，您应该使用 PyTorch 1.13+ 版本来解决这个问题。]]></description><category></category></item><item><title><![CDATA[ImportError: cannot import name ‘LearningRateLogger‘ from ‘pytorch_lightning.callbacks‘]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/144022201</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/144022201</guid><author>m0_50907280</author><pubDate>Mon, 25 Nov 2024 11:08:49 +0800</pubDate><description><![CDATA[这个类用于监控 PyTorch Lightning 训练过程中的学习率变化，并可以在训练日志中记录这些变化。如果您在代码中遇到无法导入。这个更改将允许您使用新的。]]></description><category></category></item><item><title><![CDATA[Liunx 一次性卸载多个包和依赖]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/144020962</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/144020962</guid><author>m0_50907280</author><pubDate>Mon, 25 Nov 2024 10:38:11 +0800</pubDate><description><![CDATA[首先，列出所有与 PyTorch Lightning 相关的包，以便确认哪些包将被卸载。在执行这个命令时，可能需要确认每个包的卸载。这个脚本将自动卸载所有列出的包，无需手动确认每个包的卸载。查找上述命令中列出的包，确认它们不再出现在列表中。可以一次性卸载多个包。]]></description><category></category></item><item><title><![CDATA[【Linux 报错】SSH服务器拒绝了密码。请再试一次]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/143944246</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/143944246</guid><author>m0_50907280</author><pubDate>Thu, 21 Nov 2024 14:16:22 +0800</pubDate><description><![CDATA[例如：sudo passwd lufei。sudo passwd 用户名。]]></description><category></category></item><item><title><![CDATA[在服务器里安装2个conda]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/143636764</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/143636764</guid><author>m0_50907280</author><pubDate>Fri, 08 Nov 2024 23:38:42 +0800</pubDate><description><![CDATA[之后会询问是否更换conda的安装地址，因为我已经安装了一个conda，我希望在另一个目录下安装一个新的conda，所以我更换了安装地址，安装完成。这会列出所有 Conda 环境，并且会在当前激活的环境前面显示一个星号（首先，需要将新的 Conda 环境添加到当前的 shell 会话中。目录下），你可以选择删除它，以节省磁盘空间。如果你不再使用旧的 Conda 环境（位于。这样就删除了你不再需要的 Conda 环境。下的新 Conda 环境，可以在。我的 Conda 环境位于。]]></description><category></category></item><item><title><![CDATA[ubuntu18.04 安装与卸载NCCL conda环境安装PaddlePaddle]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/143607389</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/143607389</guid><author>m0_50907280</author><pubDate>Thu, 07 Nov 2024 21:09:13 +0800</pubDate><description><![CDATA[先按Esc退出，再输入:wq，最后执行source ~/.bashrc使文件的配置生效。官方提供了多种安装方式，本文使用Local installers (x86)本地安装。nccl默认的安装目录是/usr/lib/x86_64-说明PaddlePaddle需要安装NCCL。3、安装PaddlePaddle。cuda版本11.2。]]></description><category></category></item><item><title><![CDATA[检测场景变化并将视频按场景分开]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/142219526</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/142219526</guid><author>m0_50907280</author><pubDate>Fri, 13 Sep 2024 20:40:11 +0800</pubDate><description><![CDATA[是一个功能强大的 Python 库，专门用于检测视频中的场景变化。它可以自动检测视频中不同场景的切换，并返回场景的时间段。是另一个专门用于视频场景变化检测的工具，适用于复杂的视频场景切割。它输出场景切换的时间戳，然后你可以使用这些时间戳来切割视频。具体来说，你需要读取每个视频的第一个场景的结束时间（例如。这个脚本会读取你已有的场景时间戳信息，并自动处理所有视频，删除第一个场景。：这个函数读取并解析你的时间戳文件，提取每个视频的第一个场景结束时间。函数将视频从第一个场景结束时间点剪切到视频末尾。]]></description><category></category></item><item><title><![CDATA[结束服务器进程]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/141595520</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/141595520</guid><author>m0_50907280</author><pubDate>Tue, 27 Aug 2024 10:14:52 +0800</pubDate><description><![CDATA[检查进程状态，看看是否有僵尸进程。]]></description><category></category></item><item><title><![CDATA[XCLIP训练错误记录]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/141574894</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/141574894</guid><author>m0_50907280</author><pubDate>Mon, 26 Aug 2024 22:47:42 +0800</pubDate><description><![CDATA[1、关于数据处理：按照readme.md说明：将所有视频文件都放在同一个文件夹中 ，也可以是一个zip/tar压缩文件。]]></description><category></category></item><item><title><![CDATA[安装apex]]></title><link>https://blog.youkuaiyun.com/m0_50907280/article/details/141370281</link><guid>https://blog.youkuaiyun.com/m0_50907280/article/details/141370281</guid><author>m0_50907280</author><pubDate>Tue, 20 Aug 2024 22:51:12 +0800</pubDate><description><![CDATA[在安装apex的时候，一定要保证cuda的版本和pytorch的GPU的版本保持一致，一定要一致！将命令改为：安装成功。]]></description><category></category></item></channel></rss>