<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[iammelon的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/iammelon</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; iammelon]]></copyright><item><title><![CDATA[Mac M1 VSCode调试C++工程代码（MNN为例）]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/128953206</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/128953206</guid><author>iammelon</author><pubDate>Sun, 19 Feb 2023 13:59:37 +0800</pubDate><description><![CDATA[VSCode调试C++工程]]></description><category></category></item><item><title><![CDATA[Macbook pro13(M1芯片)安装Homebrew指南]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/128683114</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/128683114</guid><author>iammelon</author><pubDate>Sat, 14 Jan 2023 11:11:21 +0800</pubDate><description><![CDATA[M1芯片安装Homebrew]]></description><category></category></item><item><title><![CDATA[vscode Go 开发配置（基础版）]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/120933151</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/120933151</guid><author>iammelon</author><pubDate>Sun, 24 Oct 2021 13:54:44 +0800</pubDate><description><![CDATA[在Go 官网上找到自己电脑对应的版本，直接下载然后安装即可。会直接安装在目录 /usr/local/go
我的电脑是mac M1芯片，所以选择的是

在环境变量中加入：/usr/local/go/bin
在vs code中安装Go的插件
在vs code中按住 command+shift+P 调出命令面板，输入go install tools 选Go: Install/Update Tools，选中所有并点击ok 进行安装。


...]]></description><category></category></item><item><title><![CDATA[UCI 数据集读取]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/120311689</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/120311689</guid><author>iammelon</author><pubDate>Wed, 15 Sep 2021 16:37:34 +0800</pubDate><description><![CDATA[数据集下载到本地保存，可以在sublime text中查看 XX.data文件
2.代码示例

 import pandas as pd
 raw_dataset = pd.read_csv("../dataset/car.data", names=["buying", "maint", "doors", "persons", "lug_boot", "safety", "label"])
 raw_dataset.loc[raw_dataset.label != "good", 'label'] = 0.]]></description><category></category></item><item><title><![CDATA[用vscode调试Python代码时要进入库文件调试]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/111593514</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/111593514</guid><author>iammelon</author><pubDate>Wed, 23 Dec 2020 16:41:27 +0800</pubDate><description><![CDATA[在launch.json中加上
"justMyCode": false


]]></description><category></category></item><item><title><![CDATA[关闭vscode中的pylint提示]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/111294096</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/111294096</guid><author>iammelon</author><pubDate>Wed, 16 Dec 2020 17:14:26 +0800</pubDate><description><![CDATA[配置flake8和yapf并关闭pylint工具。
在工作区域输入以下内容：
{
“python.linting.flake8Enabled”: true,
“python.formatting.provider”: “yapf”,
“python.linting.flake8Args”: ["–max-line-length=248"],
“python.linting.pylintEnabled”: false
}

...]]></description><category></category></item><item><title><![CDATA[如何在LaTeX中插入高清图片]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/109525613</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/109525613</guid><author>iammelon</author><pubDate>Fri, 06 Nov 2020 09:43:14 +0800</pubDate><description><![CDATA[在LaTeX中插入高清图片的操作步骤

首先将.png / .jpg 格式的图片转换成.eps格式的图片：在cmd行输入命令：

bmeps -c src.jpg src.eps


在LaTeX源码中插入图片：

\begin{figure}[H]
\centering
% 注意这里只需要输入文件名，不需要带.eps
\includegraphics[scale=0.3]{src} % 不需要输入src.eps
\caption{插入eps高清图片}
\label{affine_layers}
\end{]]></description><category></category></item><item><title><![CDATA[vscode ssh安装的插件]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/107787604</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/107787604</guid><author>iammelon</author><pubDate>Tue, 04 Aug 2020 15:23:22 +0800</pubDate><description><![CDATA[C/C++
PYTHON
Git History


]]></description><category></category></item><item><title><![CDATA[学习文档汇总]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/107101992</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/107101992</guid><author>iammelon</author><pubDate>Fri, 03 Jul 2020 11:21:24 +0800</pubDate><description><![CDATA[学习文档1. 用tensorflow源码和bazel build编译tensorflow安装包
1. 用tensorflow源码和bazel build编译tensorflow安装包
点击访问文章地址

]]></description><category></category></item><item><title><![CDATA[python 运行cmd命令行]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/103630468</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/103630468</guid><author>iammelon</author><pubDate>Fri, 20 Dec 2019 12:19:54 +0800</pubDate><description><![CDATA[原意：在cmd命令行下运行命令 python a.py b.py，其中b.py是参数，并且需要使用python2，博主环境变量中的python是python36. 需要用上面的命令行代码批量测试某文件夹下的b.py，得到一群 b.cpp。
代码如下：
import os
os.chdir(r"F:\compiler\PLP\debug_plp\transpiler\test\test_cases"...]]></description><category></category></item><item><title><![CDATA[pytorch报错：  from torch._C import * ImportError: DLL load failed: 找不到指定的模块。]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/102985162</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/102985162</guid><author>iammelon</author><pubDate>Sat, 09 Nov 2019 11:39:39 +0800</pubDate><description><![CDATA[问题原因：
我的电脑上cuda版本是8.0，但是第一次安装的是cuda10.1版本的pytorch，版本不一致导致的，应该安装与本机cuda版本对应的pytorch
解决办法：
在pytorch官网有对应不同cuda版本的pytorch 安装命令，网址是：https://pytorch.org/get-started/previous-versions/
我的是8.0版本的cuda, 所以命令行是...]]></description><category></category></item><item><title><![CDATA[利用ROSE 中的sagebuilder写编译器，官方文档]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/102532230</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/102532230</guid><author>iammelon</author><pubDate>Sun, 13 Oct 2019 13:53:53 +0800</pubDate><description><![CDATA[如何利用ROSE 中的sagebuilder写编译器
官方文档：http://rosecompiler.org/ROSE_Tutorial/ROSE-Tutorial.pdf

]]></description><category></category></item><item><title><![CDATA[vs2013 ：无法解析的外部符号，在xx中以及引用]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/90690672</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/90690672</guid><author>iammelon</author><pubDate>Thu, 30 May 2019 08:56:05 +0800</pubDate><description><![CDATA[在用vs写c++的过程中遇到报错：无法解析外部符号xxxx，该符号在函数_main中已经引用。
在本次工程中，我用了openblas的库，在头文件中有：#include&lt;cblas.h&gt;，cblas.h文件包含在openblas库所在文件夹下面。在该文件夹中能找到openblas所对应的 .sln文件，在.sln文件所在的文件夹里同样存在Lib文件夹，Lib文件夹里面会有对应的open...]]></description><category></category></item><item><title><![CDATA[python读取uci数据集]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/90105295</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/90105295</guid><author>iammelon</author><pubDate>Sat, 11 May 2019 06:27:42 +0800</pubDate><description><![CDATA[第一种方法：在线下载uci数据集到内存
import urllib.request
url = “http://archive.ics.uci.edu//ml//machine-learning-databases//wine//wine.data”
raw_data = urllib.request.urlopen(url)
dataset_raw = np.loadtxt(raw_data, ...]]></description><category></category></item><item><title><![CDATA[pytorch掉坑记录：model.eval的作用]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/89928531</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/89928531</guid><author>iammelon</author><pubDate>Tue, 07 May 2019 20:15:32 +0800</pubDate><description><![CDATA[训练完train_datasets之后，model要来测试样本了。在model(test_datasets)之前，需要加上model.eval().  否则的话，有输入数据，即使不训练，它也会改变权值。这是model中含有batch normalization层所带来的的性质。
在做one classification的时候，训练集和测试集的样本分布是不一样的，尤其需要注意这一点。

...]]></description><category></category></item><item><title><![CDATA[pytoch掉坑记录：for inputs in dataLoader，for (inputs,) in dataLoader]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/89761279</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/89761279</guid><author>iammelon</author><pubDate>Thu, 02 May 2019 14:19:24 +0800</pubDate><description><![CDATA[for inputs in dataLoader，for (inputs,) in dataLoader得到的inputs是不一样的。
for inputs in dataLoader: inputs = [tensor[1,2]], outputs=model(inputs[0])
for (inputs, ) in dataLoader: inputs = tensor[1,2], outpu...]]></description><category></category></item><item><title><![CDATA[One-Clssification掉坑指南]]></title><link>https://blog.youkuaiyun.com/iammelon/article/details/88975490</link><guid>https://blog.youkuaiyun.com/iammelon/article/details/88975490</guid><author>iammelon</author><pubDate>Tue, 02 Apr 2019 16:40:58 +0800</pubDate><description><![CDATA[第一话：
用原论文代码（源代码）在简单数据集上进行测试
论文地址： http://proceedings.mlr.press/v80/ruff18a.html
项目背景：论文中介绍了用神经网络做一分类问题（One-Classification）. 一分类问题也就是只有两类，即 normal 和 outlier. 已经存在的一分类算法是用支持向量机，也就是论文中提到的SVMSVDD. 该论文介绍的是...]]></description><category></category></item></channel></rss>