<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Xia Qiaolin - 优快云]]></title><description><![CDATA[主要是小问题解决，防止重复跳坑 https://scholar.google.com/citations?user=6j3IU4AAAAAJ&hl=zh-CN]]></description><link>https://blog.youkuaiyun.com/jolinxia</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; jolinxia]]></copyright><item><title><![CDATA[恢复item2和oh-my-zsh的配置]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/130531536</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/130531536</guid><author>jolinxia</author><pubDate>Sat, 06 May 2023 17:13:31 +0800</pubDate><description><![CDATA[2. 加载onedrive里的传家宝iterm2_default_profile.json，让iterm2的配置生效。3. 安装agnoster主题相关的字体。6. 改.zshrc让plugins生效。2. 然后正常安装oh-my-zsh。4. 改.zshrc让主题生效。1. 首先正常安装item2。5.  添加plugin。]]></description><category></category></item><item><title><![CDATA[pytorch DistributedDataParallel提示未参与loss计算的变量错误]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/113407588</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/113407588</guid><author>jolinxia</author><pubDate>Fri, 29 Jan 2021 22:20:21 +0800</pubDate><description><![CDATA[错误提示：

RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates th
at your module has parameters that were not used in producing loss. You can enable unused parameter detection by (1) passin
g]]></description><category></category></item><item><title><![CDATA[提交spark任务偶尔报错 org.apache.spark.SparkException: A master URL must be set in your configuration]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/110100264</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/110100264</guid><author>jolinxia</author><pubDate>Tue, 24 Nov 2020 23:08:15 +0800</pubDate><description><![CDATA[错误信息可谓恶心至极，其中有几个关键词，在代码里压根没有，但是我的debug能力也专门针对恶心的 错误信息优化过，所以最终还是解决了。

错误信息：


20/11/24 22:32:00 INFO DAGScheduler: ResultStage 0 (take at Base64UserEmb.scala:57) failed in 16.761 s due to Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times,]]></description><category></category></item><item><title><![CDATA[NVIDIA/Apex安装时遇到 C++编译：unrecognized command line option ‘-std=c++14’ 错误解决]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/109404740</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/109404740</guid><author>jolinxia</author><pubDate>Sat, 31 Oct 2020 18:22:23 +0800</pubDate><description><![CDATA[0、问题

编译安装apex的时候，报错C++编译：unrecognized command line option ‘-std=c++14’，后面紧跟着ninja也没有编译成功。发现是编译器版本太老（gcc-4.8.5）外加没有设置CC环境变量。


对于C++14:
gcc5就可以完全支持，gcc4部分支持，gcc3及以下版本不支持。


既然4.8.5不支持c++14，就重新编译了g++呗。

1、解决的环境版本依赖



原本的环境配置：

操作系统环境是：tlinux2.2-64bit-4...]]></description><category></category></item><item><title><![CDATA[AttributeError: 'DistributedDataParallel' object has no attribute 'blahblah']]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/106065896</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/106065896</guid><author>jolinxia</author><pubDate>Tue, 12 May 2020 00:06:19 +0800</pubDate><description><![CDATA[Pytorch DDP would fail when using the parameters directly to calculate the loss.
These are my scripts:
# train.py:
class Model(nn.Module):
    def __init__(self, params):
		...
		self.xnli_proj = nn.Linear(dim, 3)
...
model = Model(params)
output = model.x]]></description><category></category></item><item><title><![CDATA[detectron2 demo cuda10.0 py3.6]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/104864768</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/104864768</guid><author>jolinxia</author><pubDate>Sat, 14 Mar 2020 19:24:45 +0800</pubDate><description><![CDATA[conda create -n detectron python=3.6 pip
conda activate detectron
conda install pytorch torchvision cudatoolkit=10.0 ...]]></description><category></category></item><item><title><![CDATA[DataLoader, when num_worker >0, there is bug]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/103970845</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/103970845</guid><author>jolinxia</author><pubDate>Tue, 14 Jan 2020 12:04:01 +0800</pubDate><description><![CDATA[Since PyTorch seems to adopt lazy way of initializing workers, this means that the actual file opening has to happen inside of thegetitemfunction of the Dataset wrapper.

https://discuss.pytorch.org...]]></description><category></category></item><item><title><![CDATA[caffe compilation memo]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/102719909</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/102719909</guid><author>jolinxia</author><pubDate>Thu, 24 Oct 2019 11:35:27 +0800</pubDate><description><![CDATA[Compile caffe from source
NCCL (nvidia.com has been blocked ????  download local installer then apt update to install)
# https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
# download ...]]></description><category></category></item><item><title><![CDATA[在ubuntu里烧win10安装盘]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/97917219</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/97917219</guid><author>jolinxia</author><pubDate>Wed, 31 Jul 2019 14:42:09 +0800</pubDate><description><![CDATA[How to Create a Bootable Windows 10 USB in Linux

https://itsfoss.com/bootable-windows-usb-linux/


]]></description><category></category></item><item><title><![CDATA[python built-in cache (don't reinvent the wheel)]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/87456703</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/87456703</guid><author>jolinxia</author><pubDate>Sat, 16 Feb 2019 16:39:56 +0800</pubDate><description><![CDATA[
@functools.lru_cache
def func():
    ...

very useful for loading/rolling out huge image features.]]></description><category></category></item><item><title><![CDATA[Why I can't reproduce my results]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/87445620</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/87445620</guid><author>jolinxia</author><pubDate>Sat, 16 Feb 2019 13:51:49 +0800</pubDate><description><![CDATA[1. Pytorch's CPU's and GPU's seeds are independent. So set/save/load them independently

https://discuss.pytorch.org/t/are-gpu-and-cpu-random-seeds-independent/142

2. If you use randomness on several...]]></description><category></category></item><item><title><![CDATA[最近ubuntu+gpu装机记录]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/85111119</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/85111119</guid><author>jolinxia</author><pubDate>Thu, 20 Dec 2018 08:12:56 +0800</pubDate><description><![CDATA[Background: 

a new machine with 2 GeForce RTX 2080 Ti without OS

Steps:

ubuntu desktop + rufus + sandisk usb 制作系统安装盘

(desktop相对server更方便安装，因为有界面)

minimal installation

install third-party softwar...]]></description><category></category></item><item><title><![CDATA[配置jupyter notebook到conda env虚拟环境里可运行]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/80740092</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/80740092</guid><author>jolinxia</author><pubDate>Tue, 19 Jun 2018 23:04:44 +0800</pubDate><description><![CDATA[python -m ipykernel install --user --name env_name]]></description><category></category></item><item><title><![CDATA[connect to ubuntu 16.04 from windows 10 using x11vnc]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/80612528</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/80612528</guid><author>jolinxia</author><pubDate>Thu, 07 Jun 2018 17:44:13 +0800</pubDate><description><![CDATA[以前ubuntu上不但装过vnc，还配置成功过一次，但是登陆之后桌面会变成gnome一个奇奇怪怪的样子。所以这次重新搞。主要是通过x11vnc，使得远程访问能够完美还原unity桌面。

最近升级18.04，全gnome了，于是follow： http://c-nergy.be/blog/?p=11187 搞定了。

1. terminal:


sudo apt-get install x11v...]]></description><category></category></item><item><title><![CDATA[神经网络中快速傅立叶变换(FFT)的梯度传递]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/77853370</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/77853370</guid><author>jolinxia</author><pubDate>Tue, 05 Sep 2017 21:24:42 +0800</pubDate><description><![CDATA[最近需要在神经网络中构造复数酉矩阵做权重系数,使用了快速傅立叶变换和反变换.
但是FFT不是theano的现成操作模块(有人写过对应的代码,所以应该会很快加进去了),所以想自己去写梯度传递来彻底搞清楚这件事.
重新学一遍离散Fourier transform再加找梯度相关的文献学习,整整花了一周时间.从本科一毕业DFT就忘光了...
在此总结了下,不得不说推倒的结果出来以后,真是出乎意料的漂]]></description><category></category></item><item><title><![CDATA[Install Rouge and Pyrouge for python 2.7 (conda virtual env) on Linux 64]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/77508435</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/77508435</guid><author>jolinxia</author><pubDate>Wed, 23 Aug 2017 17:32:48 +0800</pubDate><description><![CDATA[Install Rouge and Pyrouge

Step 1: Create a new conda virtual env
conda create -n py27env python=2.7 pip
source activate py27env
# use " source deactivate" to deactivate the env]]></description><category></category></item><item><title><![CDATA[解决Pycharm里远程调试缺乏DISPLAY环境变量的TkAgg报错]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/77437967</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/77437967</guid><author>jolinxia</author><pubDate>Mon, 21 Aug 2017 00:46:40 +0800</pubDate><description><![CDATA[错误： TclError: no display name and no $DISPLAY environment variable Backend TkAgg is interactive backend. Turning interactive mode on.
解决： 随便一个靠前的代码里加入
import matplotlib
matplotlib.use('Agg')]]></description><category></category></item><item><title><![CDATA[windows上配置新的conda env+torch]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/74452050</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/74452050</guid><author>jolinxia</author><pubDate>Wed, 05 Jul 2017 15:25:45 +0800</pubDate><description><![CDATA[conda create -n myenv scipy nb_conda -c peterjc123 torch

pip install torchvision]]></description><category></category></item><item><title><![CDATA[ubuntu 备份]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/73928640</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/73928640</guid><author>jolinxia</author><pubDate>Thu, 29 Jun 2017 22:09:53 +0800</pubDate><description><![CDATA[https://yq.aliyun.com/ziliao/110763
备份前及恢复前,需要用root用户,所以要打开root密码(http://www.cnblogs.com/youxin/archive/2013/04/07/3006201.html),
备份及恢复之后,需要把root登录密码关闭(https://askubuntu.com/questions/20450/disable-]]></description><category></category></item><item><title><![CDATA[stl的multiset和set和priority_queue区别]]></title><link>https://blog.youkuaiyun.com/jolinxia/article/details/53579864</link><guid>https://blog.youkuaiyun.com/jolinxia/article/details/53579864</guid><author>jolinxia</author><pubDate>Mon, 12 Dec 2016 10:10:21 +0800</pubDate><description><![CDATA[优先级队列只允许按照排序顺序访问一个元素 - 即，可以获得最高优先级的项目，而当删除该项目时，可以获得下一个最高优先级，依此类推。 优先级队列还允许重复元素，因此它更像是一个multiset而不是set .
一个set允许以排序顺序进行完全访问，例如，可以在集合的中间某处找到两个元素，然后按照从一个到另一个的顺序遍历。]]></description><category></category></item></channel></rss>