| # Install script of Caffe2 and Detectron on AWS EC2 | |
| # | |
| # Tested environment: | |
| # - AMI: Deep Learning Base AMI (Ubuntu) Version 6.0 - ami-ce3673b6 (CUDA is already installed) | |
| # - Instance: p3.2xlarge (V100 * 1) | |
| # - Caffe2: https://github.com/pytorch/pytorch/commit/731273b8d61dfa2aa8b2909f27c8810ede103952 | |
| # - Detectron: https://github.com/facebookresearch/Detectron/commit/cd447c77c96f5752d6b37761d30bbdacc86989a2 | |
| # | |
| # Usage: | |
| # Launch a fresh EC2 instance, put this script on the /home/ubuntu/, and run the following command. |
The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:
git clone --bare git@github.com:usi-systems/easytrace.git
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
| -- multiple learning rates per network. Optimizes two copies of a model network and checks if the optimization steps (2) and (3) produce the same weights/parameters. | |
| require 'torch' | |
| require 'nn' | |
| require 'optim' | |
| torch.setdefaulttensortype('torch.FloatTensor') | |
| -- (1) Define a model for this example. | |
| local model = nn.Sequential() | |
| model:add(nn.Linear(10,20)) |
To remove a submodule you need to:
Basic setup in Ubuntu:
Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.
In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.
Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j
| function recipient = matlabmail(recipient, message, subject, sender, psswd) | |
| % MATLABMAIL Send an email from a predefined gmail account. | |
| % | |
| % MATLABMAIL( recipient, message, subject ) | |
| % | |
| % sends the character string stored in 'message' with subjectline 'subject' | |
| % to the address in 'recipient'. | |
| % This requires that the sending address is a GMAIL email account. | |
| % | |
| % MATLABMAIL( recipient, message, subject, sender, passwd ) |
| var https = require('https'), | |
| user = process.argv[2], | |
| opts = parseOpts(process.argv.slice(3)) | |
| request('/users/' + user, function (res) { | |
| if (!res.public_repos) { | |
| console.log(res.message) | |
| return | |
| } | |
| var pages = Math.ceil(res.public_repos / 100), |
There is a long standing issue in Ruby where the net/http library by default does not check the validity of an SSL certificate during a TLS handshake. Rather than deal with the underlying problem (a missing certificate authority, a self-signed certificate, etc.) one tends to see bad hacks everywhere. This can lead to problems down the road.
From what I can see the OpenSSL library that Rails Installer delivers has no certificate authorities defined. So, let's go fetch some from the curl website. And since this is for ruby, why don't we download and install the file with a ruby script?
