tinygrad VS Lombok

Not sure if I completely understand what "Ryzen AI" does, but Tinygrad for example has some limited support for RDNA3[0]. It isn't quite there yet in matters of performance though, as you can read in the comments of that file.

There's also a small tutorial by AMD on how to use the WMMA intrinsic[1] using AMD's hipcc[2] compiler. Documentation is sparse kinda sparse, but the instruction set is not huge. The RDNA3 ISA guide[3] might also be helpful (and only a fraction of the pages are relevant.)

0. https://github.com/tinygrad/tinygrad/blob/master/extra/gemm/...

1. https://gpuopen.com/learn/wmma_on_rdna3/

2. https://github.com/ROCm/HIPCC

3. https://www.amd.com/content/dam/amd/en/documents/radeon-tech...

This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX.

what do you think about tinygrad? I think its a good example of growing and well written, (partially) well documented library with many close to reference implementations

The idea of model architecture making fast hardware design easier is what makes https://github.com/tinygrad/tinygrad so interesting.

🌟 Support on GitHub Website: https://tinygrad.org/

Before we begin, make sure you have TinyGrad and the required dependencies installed. You can find the installation instructions here.

Try to get something like tinygrad[1] running locally, that way you can tweak things a bit run it again and see how it performs. While doing this you'll pick up most of the concepts and get a feeling of how things work. Also, take a look at projects like llama.cpp[2], you don't have to fully understand what's going on here, tho.

You may need some intermediate knowledge of linear algebra and this thing called "data science" nowadays, which is pretty much knowing how to mangle data and visualize it.

Try creating a small model on your own, it doesn't have to be super fancy just make sure it does something you want it to do. And then ... you'll probably could go on your own then.

1: https://github.com/tinygrad/tinygrad

2: https://github.com/ggerganov/llama.cpp

The above class maps the json data to a java object we can work with. We use Lombok to generate constructors, getters and setters for our code and the Jackson Project to handle serialization and deserialization of json to pojo . We know the response is an array of objects representing the coffee and so above data structure is fit for this.

Almost a decade ago, I started reducing my boilerplate (and saving time with Lombok. It made my life much easier, simple as that. Ever since I've been looking into finding the smoothest solutions for saving time rather than handling all of it myself.

Lombok is a widely used library that simplifies Java code. The @NonNull annotation helps enforce non-null parameters, generating appropriate null checks:

Project Lombok

I gotta agree with /u/rzwitserloot I don't see anything in the lombok repo that indicates they have their "own compiler". I see the "reaching into javac internals" but that's it.

i looked into that and found this: https://github.com/projectlombok/lombok/issues/2310

Funny enough; /u/rzwitserloot is the author of Lombok, one of the most widely used Java libraries in the world. So it's not really some kind of random-ass Redditor they're having a discussion with either.

This removes the need to add the 'Project Lombok' library (and going through a phase of installing it in your Eclipse IDE; old school devs know what I am talking about) and speeds up development time. Java 14 added a new feature of 'Records' which allows you to do the same, but it doesn't offer a 'copy' method to ease your object creation and also enforces the 'final' keyword for variables making them immutable.

I get the main criticisms of Java, i.e. its verbosity and the requirement for a lot of boilerplate code, and understand why some people switched to Kotlin. But by using libraries such as lombok you can get rid of most of it and suddenly the incentives for switching aren't that big anymore. And in the end it's all JVM bytecode anyways.

I usually use this... https://projectlombok.org/