raytroop

Windows 10 - Using Git Bash With TMUX

Why Not Use WSL?

I tried the WSL and it isn't quite seamless enough for me. I ran in to problems when editing in VSCode and having watchers on my files (ng serve, dotnet watch run, etc.). In addition, I kept running in to problems that only manifest themselves when running in WSL. For example, this issue with doing production builds and the terser plugin has made many a developer rage-quit on using WSL. Just figuring out that it was an issue with the WSL took a lot of time.

That terser plugin issue was never resolved and I ended up having to keep a git bash window open in addition to my WSL console window so I could do production builds. To make matters worse, my npm packages were platform-dependent so I couldn't use the same project folder. So, my procedure was: commit whatever changes to test branch, push to repo, git pull on my "windows" project folder, and do a production build there

Effective Modern CMake

Getting Started

For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.

After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

	# Set the control character to Ctrl+Spacebar (instead of Ctrl+B)
	set -g prefix C-space
	unbind-key C-b
	bind-key C-space send-prefix

	# Set new panes to open in current directory
	bind c new-window -c "#{pane_current_path}"
	bind '"' split-window -c "#{pane_current_path}"
	bind % split-window -h -c "#{pane_current_path}"

	#pragma once

	#pragma comment(lib, "cudart.lib")
	#if _DEBUG
	#pragma comment(lib, "opencv_world330d.lib")
	#else
	#pragma comment(lib, "opencv_world330.lib")
	#endif

	#ifdef __CUDACC__

	"""Simple example on how to log scalars and images to tensorboard without tensor ops.

	License: BSD License 2.0
	"""
	__author__ = "Michael Gygli"

	import tensorflow as tf
	from StringIO import StringIO
	import matplotlib.pyplot as plt
	import numpy as np

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

	#
	# mnist_cnn_bn.py date. 5/21/2016
	# date. 6/2/2017 check TF 1.1 compatibility
	#

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import os

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

raytroop

Windows 10 - Using Git Bash With TMUX

Why Not Use WSL?

Effective Modern CMake

Getting Started

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