hikettei

### Developing Roadmap - [x] Implementing State_Dict - [x] Full Supports for Dynamic Shaping - [ ] Refactor: Device条件無しのCompile -> Later, デバイス割り当てしてコンパイル - [ ] Adding these Control Flow IRs:...

We need to simplify the list of instructions needed for backend extensions: ## Cheat sheet for backend extension A backend which is completely separated from the standard implementation can be...

Hello vajrabisj, thank you for having interest in my project. For efficient computing, `OpenBLAS` must be installed to run `MatmulNode`, (without that, the device `CPUTENSOR` isn't registered as a valid...

> is it possible that you could put more examples Yes, the lack of examples/documentation is exactly the problem! but I've started this project only two months ago and still...

In the first place, for numerical computing, I think using a simple array is a much better choice than using a list since the data structure isn't appropriate, and produces...

> I know there is predict method, how to use it to show the final prediction result after ... If you're working with `deftrainer`, here's a slot `:predict` to describe...

I'm thinking I might need a tutorial as soon as possible. Which ones would you like to see?

Thank you for your valuable suggestions/feedback! In fact, cl-waffe2 is a unique library from other existing libraries, so step-by-step examples will help others learn how to use it quickly. I'll...

I see it. Validation is included in the train-and-valid-mlp function. Of course testing data is separated from training data. So 0.9522 is exactly the accuracy of the trained model.

That's the difference between `AbstractNode` and `Composite`. ## AbstractNode `AbstractNode` is the smallest/most fundamental unit of the operations in cl-waffe2, and is defined by the `defnode` macro. ```lisp (defnode (AddNode-Revisit...