(Replying to PARENT post)
I'm presently working on enhancing Burn's (https://burn-rs.github.io/) capabilities by implementing ONNX model importation (https://github.com/burn-rs/burn/issues/204). This will enable users to generate model source code during build time and load weights at runtime.
In my opinion, ONNX is more complex than necessary. Therefore, I opted to convert it to an intermediate representation (IR) first, which is then used to generate source code. A key advantage of this approach is the ease of merging nodes into corresponding operations, since ONNX and Burn don't share the same set of operators.
👤antimora🕑2y🔼0🗨️0
(Replying to PARENT post)
I sent you an email a few weeks back - would be great to chat!
WONNX is a seriously impressive project. There is a few reason I didn't just contribute back to WONNX:
1. WONNX does not parse the ONNX model into an IR, which I think is essential to have the freedom to transform the model as required.
2. When I started, WONNX didn't seem focused on symbolic dimensions (but I've seen you shipping the shape inference recently!).
3. The code quality has to be much higher when it's open source! I wanted to hack on this without anyone to please but myself.