Ye Canming 叶璨铭

Results 34 issues of Ye Canming 叶璨铭

https://gmplib.org/manual/Installing-GMP I am learning c++, and doing an course assignment which require big integer I ‘ve done a test for this BigInt library and GNU MP Bignum Library this library...

Both problems are on original polacode and this plugin. https://github.com/octref/polacode/issues/172

1. 看到拼音,要反应一下才知道是哪个诗人 2. Python对utf-8的支持非常好,绝对不会有中文路径的问题

Example code I want to capture: ```java import java.util.Scanner; public class HilbertCurve { public static int w[][] = {{0,0,0}, {0,1,4}, {0,2,3}}; public static void main(String[] args) { Scanner in =...

## What happens? ```bash [ 98%] Building CXX object turtlebot3_simulations/turtlebot3_gazebo/CMakeFiles/turtlebot3_drive.dir/src/turtlebot3_drive.cpp.o In file included from /mnt/c/opt/ros/foxy/x64/include/log4cxx/helpers/class.h:28, from /mnt/c/opt/ros/foxy/x64/include/log4cxx/helpers/object.h:22, from /mnt/c/opt/ros/foxy/x64/include/log4cxx/helpers/objectimpl.h:21, from /mnt/c/opt/ros/foxy/x64/include/log4cxx/level.h:24, from /opt/ros/noetic/include/ros/console.h:46, from /opt/ros/noetic/include/ros/ros.h:40, from /mnt/d/EnglishStandardPath/Practice_File/P_Intelligent_Robotics/lab4_ws/src/turtlebot3_simulations/turtlebot3_gazebo/include/turtlebot3_gazebo/turtlebot3_drive.h:22, from /mnt/d/EnglishStandardPath/Practice_File/P_Intelligent_Robotics/lab4_ws/src/turtlebot3_simulations/turtlebot3_gazebo/src/turtlebot3_drive.cpp:19: /mnt/c/opt/ros/foxy/x64/include/log4cxx/helpers/objectptr.h:42:30:...

![图片](https://user-images.githubusercontent.com/41530341/152627418-b3f0ef8c-4391-4646-9e57-42af15c6b5d4.png) I just did the following: 1. search this extension and install 2. run ` python setup.py install` in `/MATLAB/extern/engines/python` with admin permisson. 3. specify my Python path in extension...

They say they have pipeline parallel, tensor parallel, data parallel and something like that. Can nanoGPT be faster than such parallels?

**例行检查** [//]: # (方框内删除已有的空格,填 x 号) + [x ] 我已确认目前没有类似 issue + [x] 我已确认我已升级到最新版本 + [x] 我已完整查看过项目 README,尤其是常见问题部分 + [x] 我理解并愿意跟进此 issue,协助测试和提供反馈 + [x] 我理解并认可上述内容,并理解项目维护者精力有限,**不遵循规则的 issue 可能会被无视或直接关闭** **问题描述** 使用socks5h代理格式,oneapi不能工作。 **复现步骤**...

bug

https://scikit-opt.github.io/scikit-opt/#/zh/more_sa?id=_3-types-of-simulated-annealing 文档提到存在三种流派的模拟退火算法,这种说法出处是哪里? 请问能否给个paper的引用

在README的示例中,prompt model是(template, plm, verbalizer)三元组,而template和verbalizer是Manual给定的,不会发生变化,那么Step 7: Train and inference 是怎么可能做到训练prompt model的呢?是会修改plm吗?