p1nox

After researching a lot on how to use PyTorch with a RTX 3060 card, specially with older versions or torch (0.4.0) and torchvision (0.2.1), I noticed that it was either impossible or very hard to do. RTX 3060 and these packages apparently doesn't have compatibility with the same versions of CUDA and cuDNN. I tried to do this by using different combinations with compiled versions available in conda, but didn't work, maybe it could work if you recompile from source these versions.

After all this, actually I was able to use RTX 3060 effectively with latest versions of all these dependencies with two methods:

1. Using a conda env, and latest versions published in pytorch site (https://pytorch.org/get-started/locally):

conda create -n rtx_3060 python=3.6.5
conda activate rtx_3060
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia

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# uncommit
git reset HEAD~

# remove submodules https://stackoverflow.com/questions/29850029/what-is-the-current-way-to-remove-a-git-submodule
git submodule deinit <asubmodule>    
git rm <asubmodule>
rm -rf .git/modules/<asubmodule>

# cherry-pick

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osx and mac stuff

Install

xcode-select --install
brew install java
brew install maven
brew install ant
mvn clean install

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Alpha Component</key>
		<real>1</real>
		<key>Blue Component</key>
		<real>0.0</real>

p1nox

Abstract

You could have postgre installed on localhost with password (or without user or password seted after instalation) but if we are developing we really don't need password, so configuring postgre server without password for all your rails project is usefull.

Install Postgre packages

• postgresql
• postgresql-client
• libpq-dev

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[core]
# The home folder for airflow, default is ~/airflow
airflow_home = /Users/p1nox/airflow

# The folder where your airflow pipelines live, most likely a
# subfolder in a code repository
dags_folder = /Users/p1nox/airflow/dags

# The folder where airflow should store its log files. This location
base_log_folder = /Users/p1nox/airflow/logs

p1nox

Using Meld merging tool on Mac

There are two ways of installing meld on osx (May 2023), using brew and .dmg package (from @yousseb). Since I found https://yousseb.github.io/meld/, I've installed it with .dmg package, but having macOS Ventura Version 13.4 (22F66) in place, it's not even starting for me. So I tried brew installation, and the application is working as expected, including symlink to start it from the terminal.

Using brew formulae: https://formulae.brew.sh/cask/meld

brew install --cask meld

# set meld as your default git mergetool

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osx

brew install python
brew install python@3.7

brew install pyenv
pyenv install 3.6.5
pyenv global 3.6.5

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# install
pip install notebook

# launch
jupyter notebook

# jupyter remote access with password - https://towardsdatascience.com/how-to-share-your-jupyter-notebook-in-3-lines-of-code-with-ngrok-bfe1495a9c0c
sudo snap install ngrok
ngrok config add-authtoken xyz

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screens basics

screen                              # create a new screen session

screen -list                        # list screen sessions

[ctrl] + [a] -> [d]                 # detach current screen session

session -r session_id # enter a screen session