Adrian Carballo adriancbo

Machine Learning with Bela & IREE

This project took place over the summer of 2022 as part of the Google Summer of Code, with support from the Intelligent Instruments Lab, Beagleboard Foundation and Bela. The project's objective was to improve the tooling available for those looking to use machine learning models in their Bela projects. For some background, Bela is a maker platform built on top of the Beaglebone Black with a focus on real-time audio and sensor processing for use in interactive art projects including digital instrument design. The availability of machine learning tools to be used with Bela would allow for new design practices incorporating machine learning models.

The original goal of this project arose out of the constraints of Bela's low-powered (in machine learning terms) processor and the real-time constraints of interactive projects. To aid development on this platform there is a need for performance analysis tools that allow for quick evaluation of different models on Bela. This proj

	# Source: https://gist.github.com/fca66711eaf0440483eba42ee013311a

	#####################################
	# How to Apply GitOps to Everything #
	# Combining Argo CD and Crossplane #
	# https://youtu.be/yrj4lmScKHQ #
	#####################################

	# Referenced videos:
	# - Argo CD - Applying GitOps Principles To Manage Production Environment In Kubernetes: https://youtu.be/vpWQeoaiRM4

	import NodeRSA from "node-rsa";

	const keyData = {
	consumerId: "CONSUMER_ID",
	privateKey: `-----BEGIN RSA PRIVATE KEY-----
	MY PRIVATE KEY
	-----END RSA PRIVATE KEY-----`,
	keyVer: 1,
	impactId: "YOUR IMPACT AFFILIATE ID" // not required
	},

	import * as fs from 'fs'
	import * as path from 'path'
	import * as globby from 'globby'
	import { parseComponent } from 'vue-template-compiler'
	import { format } from 'prettier'
	import { parse } from '@babel/parser'
	import traverse from '@babel/traverse'
	import generate from '@babel/generator'

	const graphqlCodeGenFile = '../src/generated/graphql.ts'

	fastlane_version '2.105.2'

	before_all do
	ensure_git_branch
	git_pull
	end

	platform :ios do
	desc 'Fetch certificates and provisioning profiles'
	lane :certificates do

	# Source: https://gist.github.com/6fb3e7da327df9203d9d4c184fcb5831

	##############################################################################
	# Combining Argo CD (GitOps), Crossplane (Control Plane), And Kubevela (OAM) #
	# https://youtu.be/eEcgn_gU3SM #
	##############################################################################

	# Referenced videos:
	# - Argo CD - Applying GitOps Principles To Manage Production Environment In Kubernetes: https://youtu.be/vpWQeoaiRM4
	# - Cloud-Native Apps With Open Application Model (OAM) And KubeVela: https://youtu.be/2CBu6sOTtwk

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	# Devtron #
	# Kubernetes-Native User-Friendly CI, CD, and GitOps #
	# https://youtu.be/ZKcfZC-zSMM #
	######################################################

	# Referenced videos:
	# - Argo CD - Applying GitOps Principles To Manage Production Environment In Kubernetes: https://youtu.be/vpWQeoaiRM4
	# - Argo Workflows and Pipelines - CI/CD, Machine Learning, and Other Kubernetes Workflows: https://youtu.be/UMaivwrAyTA
	# - Argo Events - Event-Based Dependency Manager for Kubernetes: https://youtu.be/sUPkGChvD54

	import torch
	print(torch.version.cuda)
	print(torch.cuda.is_available())