RodrigoCMoraes

TensorFlow/PyTorch + GPU + Docker

The steps described here was made and tested in Ubuntu 18.04 x64, and it's main purpose is make easy to prepare environment from scratch to play with Deep Learning on TensorFlow/PyTorch.

Steps to prepare environment

1. Update system

   $> sudo apt-get -y update

RodrigoCMoraes

" remap escape key to jk
imap jk <Esc>

" when possible cursor is in center of screen
nnoremap j jzz
nnoremap k kzz
nnoremap `` ``zz

" general settings
set rnu et ts=4 sw=4 sts=4 ai cindent nowrap noswapfile cursorline splitbelow splitright

RodrigoCMoraes

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
@EXPLICIT
https://repo.anaconda.com/pkgs/main/linux-64/_tflow_select-2.1.0-gpu.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-mkl.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2019.6.16-hecc5488_0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/cudatoolkit-10.0.130-0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/gmp-6.1.2-h6c8ec71_1.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/icu-58.2-h9c2bf20_1.tar.bz2

RodrigoCMoraes

# source : https://stackoverflow.com/a/54950981/7195250

def tensorflow_shutup():
    """
    Make Tensorflow less verbose
    """
    try:
        # noinspection PyPackageRequirements
        import os
        from tensorflow import logging

RodrigoCMoraes

-- all databases and their sizes
select * from pg_user;

-- Dump database on remote host to file
$ pg_dump -U username -h hostname databasename > dump.sql

-- Import dump into existing database
$ psql -d newdb -f dump.sql

RodrigoCMoraes

def amount_queries():
    """Usage:
    
    start_num_queries = amount_queries()
    
    ... plent of code with django orm queries
    
    end_num_queries = amount_queries()
    
    num_queries = end_num_queries - start_num_queries

RodrigoCMoraes

def format_points_list_to_visualization(points, to_print=True):                                                                                                                                                                                                                                
    """
    Format a list of Points of Django to able visualization on: 
    https://mobisoftinfotech.com/tools/plot-multiple-points-on-map/

    Usage:
    from django.contrib.gis.geos import Point
    
    sample_lat_lng = [
        (19.0760,72.8777),

RodrigoCMoraes

import os
import sys
import json
import pprint
import argparse
import subprocess

"""
Reference: https://blog.cloudflare.com/a-question-of-timing/