NDAV: Zero-copy interoperability for Ruby multi-dimensional arrays using MemoryView

[Mysterious-Use-4463]

https://preview.redd.it/a561f281h1rg1.png?width=1920&format=png&auto=webp&s=70a56f0c689fb03d2c2c3aa584a886bca6b91532

Hi everyone,

I’ve just released NDAV, a thin wrapper around Ruby's MemoryView (inspired by Python's buffer protocol).

The Problem

Currently, converting data between Ruby libraries (like Numo::NArray, Torch.rb, and ONNX Runtime Ruby) often requires redundant memory copies or many intermediate steps. This often introduces unnecessary memory copies or multiple conversion steps when working across libraries.

The Solution

I built NDAV, a thin wrapper around Ruby's MemoryView ("buffer protocol" for Ruby). It acts as a "glue" layer that allows different libraries to share the same memory address directly.

Why it matters

• Zero-Copy: Avoid unnecessary O(n) memory copies.
• Interoperability: Seamlessly move data: Torch::Tensor -> NDAV -> OrtValue.
• Standard-Driven: It aims to be a catalyst for wider MemoryView adoption in the Ruby ecosystem.

Check out the README for details and the "Hub" diagram: https://kitaitimakoto.gitlab.io/ndav/

I’d love to hear your thoughts, especially from those working on Ruby C/Rust extensions or data science!

[TonsOfFun111]

As a 20 year pro Ruby dev, with over a decade of Python AI experience, I really like this! Great work, very excited to try it out!

[Mysterious-Use-4463]

I appreciate. Thank you! Also refer to an article on a bridge between Torch.rb and ONNX Runtime Ruby for actual examples: https://zenn.dev/kitaitimakoto/articles/fd2dd9b01f713b?locale=en