Jongmin Park GzuPark

Introduction

:q        close
:w        write/saves
:wa[!]    write/save all windows [force]
:wq       write/save and close

Sometimes, there are some untagged images left behind after failed builds. In order to get rid of those, this script can be used.

#!/bin/bash
docker rm $(docker ps -aq)
docker rmi $(docker images | grep "^<none>" | awk '{print $3}')

To remove a submodule you need to:

Open ~/.bash_profile in your favorite editor and add the following content to the bottom.

# Git branch in prompt.

parse_git_branch() {

	ARG UBUNTU_VERSION=20.04
	ARG CUDA_VERSION=11.3.1
	ARG CUDA=11.3
	ARG CUDNN_VERSION=8

	FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}
	LABEL maintainer "http://gzupark.dev"

	ARG CUDA_VERSION
	ARG CUDA

	FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04

	RUN apt-get update && apt-get install -y curl

	RUN curl -sSL http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o /tmp/miniconda.sh && \
	bash /tmp/miniconda.sh -bfp /usr/local && \
	rm -rf /tmp/miniconda.sh

	RUN conda update -y conda
	RUN conda install -q -y pyyaml mkl mkl-include setuptools cmake cffi typing ipython

	docker-machine create -d virtualbox \
	--virtualbox-cpu-count=2 \
	--virtualbox-memory=2048 \
	--virtualbox-disk-size=100000 \
	--virtualbox-boot2docker-url https://github.com/Alexoner/boot2docker/releases/download/v17.06.0-ce-usb-rc5/boot2docker.iso \
	${DOCKER_MACHINE}

	docker-machine create -d virtualbox \
	--virtualbox-cpu-count=2 \
	--virtualbox-memory=2048 \
	--virtualbox-disk-size=100000 \
	--virtualbox-boot2docker-url https://github.com/gzupark/boot2docker-webcam-mac/releases/download/18.06.1-ce-usb/boot2docker.iso \
	${DOCKER_MACHINE}

	# This file is useful for reading the contents of the ops generated by ruby.
	# You can read any graph defination in pb/pbtxt format generated by ruby
	# or by python and then convert it back and forth from human readable to binary format.

	import tensorflow as tf
	from google.protobuf import text_format
	from tensorflow.python.platform import gfile

	def pbtxt_to_graphdef(filename):
	with open(filename, 'r') as f:

	from cipher.crypto import Cipher

	data = 'Something you want to decrypt'
	dec = Cipher(key, iv)
	result = dec.decryption(data)