大约有 4,100 项符合查询结果(耗时:0.0145秒) [XML]
How to export a Vagrant virtual machine to transfer it
...ual environment (chef, puppet, ansible), and a version control system like git for your working directory, copying an environment would be at this point simple as running:
git clone <your_repo>
vagrant up
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Issue with virtualenv - cannot activate
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I had the same problem. I was using Python 2, Windows 10 and Git Bash. Turns out in Git Bash you need to use:
source venv/Scripts/activate
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Overwrite single file in my current branch with the same file in the master branch?
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git checkout master path/to/default.aspx.cs
Before doing this, you probably have to : git checkout redesign
So, just git checkout FROM_BRANCH_NAME path/to/file
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C++ Lock-free Hazard Pointer(冒险指针) - C/C++ - 清泛网 - 专注C/C++及内核技术
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如果使用 std::shared_ptr 实现上述逻辑,你会发现它的执行速度还要高于上述代码。原因在于这里实现的 Hazard Pointer 没有使用非对称内存屏障和线程本地存储优化。如果仔细观察,可以发现 Acquire 函数中使用顺序一致性内部屏障 p...
How do .gitignore exclusion rules actually work?
I'm trying to solve a gitignore problem on a large directory structure, but to simplify my question I have reduced it to the following.
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How to use GNU Make on Windows?
...ge make), using it in a proper development environment means using msys2.
Git 2.24 (Q4 2019) illustrates that:
See commit 4668931, commit b35304b, commit ab7d854, commit be5d88e, commit 5d65ad1, commit 030a628, commit 61d1d92, commit e4347c9, commit ed712ef, commit 5b8f9e2, commit 41616ef, commit ...
Socket send函数和recv函数详解以及利用select()函数来进行指定时间的阻塞 ...
...送的使用允许发送者提前于接收者进行,以便在两进程的速度方面,计算更容忍波动。
缓存和准备好模式中的非阻塞发送有一个更有限的影响。一可能一个非阻塞发送将返回,而一个阻塞发送将在数据被从发送者存储拷出...
Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...
...易过拟合,参数比较难tune,而且需要不少trick;
2)训练速度比较慢,在层次比较少(小于等于3)的情况下效果并不比其它方法更优;
所以中间有大约20多年的时间,神经网络被关注很少,这段时间基本上是SVM和boosting算...
Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...
...易过拟合,参数比较难tune,而且需要不少trick;
2)训练速度比较慢,在层次比较少(小于等于3)的情况下效果并不比其它方法更优;
所以中间有大约20多年的时间,神经网络被关注很少,这段时间基本上是SVM和boosting算...
Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...
...易过拟合,参数比较难tune,而且需要不少trick;
2)训练速度比较慢,在层次比较少(小于等于3)的情况下效果并不比其它方法更优;
所以中间有大约20多年的时间,神经网络被关注很少,这段时间基本上是SVM和boosting算...
