Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
- NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
- CUDA-Drivers 387.178
- CUDA 9.1 Toolkit
Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
module load singularity/2.4.4
StarCraft II 3.16
for example, you could replace the link and zip file name according to SC2 Official Linux Downloads
wget http://blzdistsc2-a.akamaihd.net/Linux/SC2.3.16.1.zip
Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27.
This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
#!/bin/sh | |
# Git filter to ignore lines in your files. | |
# | |
# Copyright (c) 2017-2019,2023 Aryel Mota Góis <aryel.gois@gmail.com> | |
# | |
# MIT License | |
# | |
# | |
# SETUP: | |
# |
.env
file for me sparing me the need to pollute my session with environment variables.
I've been using Fish shell for years which is great and all, but one thing that has got me frustrated is using it with .env
files.
When attempting to run source .env
in a project, I usually encounter this problem:
In this article, we will see how to use
CRTP
,std::variant
andstd::visit
to increase our code performances.
Author: Chris Lattner
Picking the right architecture = Picking the right battles + Managing trade-offs