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Bitbake Cheatsheet

Verbose as possible

bitbake -vDDD your-recipe

List recipes

bitbake -s
lizthegrey / attributes.rb
Last active February 24, 2024 14:11
Hardening SSH with 2fa
default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam'
default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes'
default['sshd']['sshd_config']['PasswordAuthentication'] = 'no'
Mahedi-61 / cuda_11.8_installation_on_Ubuntu_22.04
Last active June 12, 2024 10:40
Instructions for CUDA v11.8 and cuDNN 8.9.7 installation on Ubuntu 22.04 for PyTorch 2.1.2
### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
### to verify your gpu is cuda enable check
fm4dd / gcc compiler optimization for arm
Last active May 26, 2024 10:24
GCC compiler optimization for ARM-based systems

GCC compiler optimization for ARM-based systems

2017-03-03 fm4dd

The gcc compiler can optimize code by taking advantage of CPU specific features. Especially for ARM CPU's, this can have impact on application performance. ARM CPU's, even under the same architecture, could be implemented with different versions of floating point units (FPU). Utilizing full FPU potential improves performance of heavier operating systems such as full Linux distributions.

-mcpu, -march: Defining the CPU type and architecture

These flags can both be used to set the CPU type. Setting one or the other is sufficient.

fchollet /
Last active May 15, 2024 07:19
Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
It uses data that can be downloaded at:
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
karpathy /
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
davidosomething /
Last active April 12, 2017 09:37
Nightwatch/Selenium test vs CasperJS/PhantomJS test

This is roughly the same test run in both casper and nightwatch.

simonrw /
Created September 18, 2015 19:01
Notes about pymysql connections

Database transactions


  • Defaults to autocommit=False
connection = pymysql.connect(user='user', db='test')
cursor = connection.cursor()
cursor.execute('insert into test (value) values (10)')
oyvindholmstad / schema-generator.js
Last active September 21, 2018 06:54
BigQuery JSON schema generator in Javascript and Scala
A script to generate a Google BigQuery-complient JSON-schema from a JSON object.
Make sure the JSON object is complete before generating, null values will be skipped.
... and a couple of visits to StackOverflow
garystafford /
Last active April 14, 2019 00:54
Use variables within your Docker Compose YAML file, using simple shell script and YAML template

For a small number of variables ('tokens'), I use a simple shell script along with a templated version of my YAML file. Here's an actual example: