Fabian-Robert Stöter faroit

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

Auto-deploying built products to gh-pages with GitHub Actions

This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.

A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:

It is much easier and requires less steps, because you are already authenticated with GitHub, so you don't need to share secret keys across services like you do when coordinate Travis CI and GitHub.
It is free, with no quotas.
Anecdotally, builds are much faster with GitHub Actions than with Travis CI, especially in terms of time spent waiting for a builder.

How do I round to 2 decimals?

In python, you have floats and decimals that can be rounded. If you care about the accuracy of rounding, use decimal type. If you use floats, you will have issues with accuracy.

All the examples use demical types, except for the original value, which is automatically casted as a float.

To set the context of what we are working with, let's start with an original value.

Original Value

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

	raise ValueError("DEPRECATED/FROZEN - see https://github.com/kastnerkyle/tools for the latest")

	# License: BSD 3-clause
	# Authors: Kyle Kastner
	# Harvest, Cheaptrick, D4C, WORLD routines based on MATLAB code from M. Morise
	# http://ml.cs.yamanashi.ac.jp/world/english/
	# MGC code based on r9y9 (Ryuichi Yamamoto) MelGeneralizedCepstrums.jl
	# Pieces also adapted from SPTK
	from __future__ import division
	import numpy as np

	import numpy as np
	import subprocess as sp
	import os
	DEVNULL = open(os.devnull, 'w')

	# load_audio can not detect the input type
	def ffmpeg_load_audio(filename, sr=44100, mono=False, normalize=True, in_type=np.int16, out_type=np.float32):
	channels = 1 if mono else 2
	format_strings = {
	np.float64: 'f64le',

	import CoreMIDI

	enum ChannelMessage {
	case NoteOn(key: UInt8, velocity: UInt8)
	case NoteOff(key: UInt8)
	case ControlChange(controller: UInt8, value: UInt8)

	func bytesForChannel(channel: Int) -> [UInt8] {
	let status = { $0 \| (UInt8(channel) & 0x0F) }
	let removeMSB = { $0 & UInt8(0x7F) }

	#!/usr/bin/python
	# -- coding: utf-8 --

	from pyqtgraph.Qt import QtGui, QtCore
	import numpy as np
	import pyqtgraph as pg
	from pyqtgraph.ptime import time
	import serial

	app = QtGui.QApplication([])