Dusk duskvirkus

kubectl get secret secret_name -n namespace --template={{.data.key}} | base64 --decode

How to debug a docker container by entering the shell because I always forget

If not already a service add keep alive to the Dockerfile

ENTRYPOINT ["tail", "-f", "/dev/null"]

Then to enter shell do the following

Local ML Setup

Minimal ubuntu server install to machine learning development setup mostly thanks to lambda.

Currently using ubuntu server 20.04.

By no means is this a definitive guide more a list for me to remember what I like to do I definitly recommend looking into each thing individually for up to date instructions on installation.

Gnome3

Simple Python Profiler

in code:

call configure_profiling

use @profile_decorator on functions you want to time

don't forget to call

	#!/bin/bash
	# Installs s5cmd

	if command -v s5cmd &> /dev/null
	then
	echo "s5cmd is already installed"
	exit 0
	fi

	START_DIR=$(pwd)

	import concurrent.futures

	from tqdm import tqdm

	import random
	import time

	def run_on_thread_example(packed_args):
	arg_one, arg_two = packed_args

	import concurrent.futures
	from tqdm import tqdm

	def run_multiprocess(func, iterator):
	with concurrent.futures.ProcessPoolExecutor() as executor:
	results = list(tqdm(executor.map(func, iterator), total=len(iterator)))
	return results


	Table t;

	int rows = 8;
	int cols = 11;

	float rowSize;
	float colSize;

	ArrayList<String> toDisplay = new ArrayList<String>();

	cmake_minimum_required(VERSION 3.0)

	project(cxxtorch)

	find_package(Torch REQUIRED)
	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")

	add_executable(cxxtorch main.cxx)
	target_link_libraries(cxxtorch "${TORCH_LIBRARIES}")
	set_property(TARGET cxxtorch PROPERTY CXX_STANDARD 14)