Introduction

This is a post about getting multiple models to run on the GPU at the same time. This is a post about the torch.multiprocessing module and PyTorch.

This could be useful in the case of having to serve the model as an API where multiple instances of the same model can be running inference on a single GPU in a concurrent manner. Alternatively one could also use Torchserve.

This post is divided into 4 sections:

1. Context — Qualitative Evaluation of Trackers, a skippable section that provides context in the form of a use case.
2. Two Methods for Concurrent Inference, a…

This is the finalé.

This is where we’ll finally take the components from the previous two posts on Oscillators and Modulators, and combine them with some additional stuff to make a playable synthesizer.

Note

• In case you don’t have a MIDI controller such as this, then you’ll have to set up a virtual MIDI controller that will allow you to use your computer keyboard as a MIDI controller; you can use VMPK to setup the virtual controller.
• Some samples are in stereo, so better to use earphones or headphones.
• I am a garbage keyboardist, so please excuse my terrible…

Two years ago when I was a wee young lad with coding chops kinda restricted to loops and conditionals, I wanted to make a synth, because synths are awesome. But I couldn’t. 😐

Recently, when I was freestyling on Jupyter, as one does given a dearth of friends, and an affinity for code, I realised synths aren’t that difficult to code out, they are just generators of periodic sequences of numbers that are fed really quickly into a speaker.

So I gave it a shot, and I was right. …