jph00

sudo add-apt-repository -y ppa:apt-fast/stable
sudo add-apt-repository -y ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get -y install apt-fast
# prompts

sudo apt-fast -y upgrade

sudo apt-fast install -y python3-pip ubuntu-drivers-common libvorbis-dev libflac-dev libsndfile-dev cmake build-essential libgflags-dev libgoogle-glog-dev libgtest-dev google-mock zlib1g-dev libeigen3-dev libboost-all-dev libasound2-dev libogg-dev libtool libfftw3-dev libbz2-dev liblzma-dev libgoogle-glog0v5 gcc-6 gfortran-6 g++-6 doxygen graphviz libsox-fmt-all parallel exuberant-ctags vim-nox python-powerline python3-pip ack lsyncd
sudo apt-fast install -y tigervnc-standalone-server firefox mesa-common-dev

KelSolaar

FROM ubuntu:16.04

RUN apt-get update

RUN apt-get install -y \
    build-essential \
    git \
    freeglut3-dev \
    libglew-dev \
    libilmbase-dev \

simonw

FROM alpine:edge

RUN apk add --update \
    python3 \
    python3-dev \
    build-base \
  && python3 -m ensurepip \
  && rm -r /usr/lib/python*/ensurepip \
  && pip3 install --upgrade pip setuptools \
  && pip3 install starlette uvicorn \

sobotka

- !<ColorSpace>
    name: Alexa Filmic Log
    family: log
    equalitygroup:
    bitdepth: 32f
    description: |
      Log based filmic shaper with 16.5 stops of latitude, and 25 stops of dynamic range
    isdata: false
    allocation: lg2
    allocationvars: [-12.473931188, 12.526068812]

ljaraque

Install tensorflow-gpu1.8 in ubuntu18.04 with CUDA9.2, cuDNN7.2.1 and NVIDIA Driver 396

[email protected]

Overview

This is a summary of the process I lived in order to enable my system with CUDA9.2, cuDNN7.2.1, Tensorflow1.8 and NVIDIA GEFORCE GTX860M GPU. You can just skip the steps marked with FAILED. I decided to keep them there in order to be useful for others who tried those paths too.

FAILED (Next section is successfull) Install NVIDIA driver (FAILED, THIS WILL INSTALL DRIVER 390 which is not compatible with CUDA9.2):

ubuntu-drivers devices

vxgmichel

def adjugate(a, m=None):
    # Initialize
    sign = 1
    previous = pivot = 1

    # Bareiss formula
    def do_pivot(a, b, c, d, e):
        x = a * d - b * c
        if m is None:
            q, r = divmod(x, e)

ljaraque

Docker Cheatsheet

[email protected]

1. Docker Basics

list all docker running containers:
docker ps

list all docker containers running and stopped:

aforsythe

#!/usr/bin/env bash

# Shell script to install homebrew, git, CTL, the latest release of the ACES CTL
# transforms, and all dependancies.

# Install Homebrew if it's not installed or do a brew update if it is
if type brew 2>/dev/null; then
    brew update
else
    /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

minrk

minrk

"""Testing awaitable objects

Testing compatibility of various awaitable things
for a migration from tornado coroutines to async/await.

The main pitfall appears to be our use of `tornado.gen.maybe_future`
to wrap user-defined 'maybe async' APIs,
which works for everything *except* asyncio coroutines.

If we want to make sure things are accepted by gen.maybe_future,