Ellipse: Something between PyTorch, karpathy/micrograd and XLA. Maintained by nileAGI.
Ellipse Documentation
Welcome to the ellipse documentation. This page is for those who are really want to make a change in AI, if it is you, you are welcome.
To get this library in your local machine, you can download it from GitHub. See...
git clone https://github.com/oderoi/ellipse.gitThis library is created in C and it has no frontend yet, so you will use C to use it.
ellipse Usage
The one thing you will need to import is ellipse.h header.
#include "ellipse.h"In C we don't use import like in Python, we use #include.
Amazing enough ellipse.h header is the library in itself and it is just a single file. It contain functions to help you perform math operations for machine learning and automatic differentiation capabilities.
- For now ellipse library operations are not lazy but Backpropagation is lazy, meaning it won't do backward pass operations until you realize.
- ellipse has AOT support, so it run very close to hardware to achieve high performance, high speed and it give's you more control.
- ellipse support CPU only for now. But it will support GPUs and TPUs.
nan Stack
| Library | Core Language | Kernel Layer | Assembly/Hardware Layer |
|---|---|---|---|
| PyTorch | Python + C++ | ATen | SIMD/AVX/CUDA/TPU instructions |
| TensorFlow | Python + C++ | XLA Kernels | LLVM-generated assembly, GPU, TPU |
| TinyGrad | Python | Numpy/Custom Ops | CPU SIMD, CUDA for GPU |
| ellipse | C | ellipse | ellipse |
- ellipse stack combines Kernel Layer and Assembly/Hardware Layer to make it more simple to improve, read and improve for anyone interested.
- ellipse Assembly/Hardware Layer only supports CPU for now.