htr3n

Built-in

diskutil erasevolume HFS+ 'RAM Disk' `hdiutil attach -nobrowse -nomount ram://XXXXX`

where XXXXX is the size of the RAM disk in terms of memory blocks.

Notes:

lcf87

If you want to be able to debug CUDA kernels, this isn't for you

There are tons and tons of tutorials teaching you how to debug the TensorFlow Python APIs, which is good. But there is nearly zero converage anywhere on how to debug the internals of TensorFlow. By internals I mean everything under the Python layer, i.e. the C and C++ runtime library.

Here I'll show you how to setup the environment to debug, and how to use gdb to see under the hood of TensorFlow. But before we start, I have to mention this open source book. It covered so many internal workings of TensorFlow and is definitely worth reading. But sadly it doesn't have an official English version. You can go to the issue page and there's a thread mentioning a Google translated version. I still find it useful, despite kinda hard to read.

Let's get down to it.

Compiling

plembo

NOTE: Given its current state, I've given up on tigervnc and now rely on "ssh -X" to execute remote gui apps. As a result I won't be updating this gist any more, but will leave it up as a reference for others.

Installing TigerVNC on Ubuntu 18.04 LTS

This is for Ubuntu 18.04 LTS. TigerVNC is a remote desktop session server and viewer solution sponsored by Red Hat that is still in active development. While I recently tested under Ubuntu 19.10, I have no plans to test non-LTS versions in the future.

There are packages for TigerVNC in the repositories of the major distributions, but the latest versions for Ubuntu are broken. My workaround is to use the latest stable version from the TigerVNC project Github release page, where generic binaries for 32 and 64-bit Linux are distributed as tarballs (dmg and exe installers for Mac and Windows are also available).

NOTE: A key file is missing from the latest offici

dayvsonlima

Step 1. Install the Wine Team Ubuntu PPA

First start by installing Wine btw it's a utility to install windows apps in linux :

open the Terminal and :

   sudo add-apt-repository ppa:ubuntu-wine/ppa     
   sudo apt-get update && sudo apt-get upgrade
   sudo apt-get install wine1.7 winetricks

awni

"""
Author: Awni Hannun

This is an example CTC decoder written in Python. The code is
intended to be a simple example and is not designed to be
especially efficient.

The algorithm is a prefix beam search for a model trained
with the CTC loss function.

ot32em

1. 擴充 vdi 到 30 GB

"C:\\Program Files\\Oracle\\VirtualBox\\VBoxManage.exe" modifyhd "D:\\path\\to\\your\\vm\\file.vdi" --resize 30000 

 

2. 開 ubuntu Live DVD

• 載點: http://cdimage.ubuntu.com/releases/xenial/release/

roadrunner2

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

miglen

List of Linux networking tools

netstat (ss)

Displays contents of /proc/net files. It works with the Linux Network Subsystem, it will tell you what the status of ports are ie. open, closed, waiting, masquerade connections. It will also display various other things. It has many different options. Netstat (Network Statistic) command display connection info, routing table information etc. To displays routing table information use option as -r.

Sample output:

Proto Recv-Q Send-Q  Local Address          Foreign Address        (state)    
tcp4 0 0 127.0.0.1.62132 127.0.0.1.http ESTABLISHED

mindcont

Ubuntu 14.04 64bit + Caffe + CUDA 7.5 + Intel MKL 配置说明

本步骤经笔者亲身实践，集百家所长，能实现Caffe在NVIDIA GPU下进行计算。

1. 安装开发所需的依赖包

安装开发所需要的一些基本包

sudo apt-get install build-essential  # basic requirement
sudo apt-get install vim cmake git    # tools
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler libatlas-base-dev #required by caffe

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward