# Module kmath-noa

This module provides a `kotlin-jvm` frontend for the 
[NOA](https://github.com/grinisrit/noa.git)
library together with relevant functionality from 
[LibTorch](https://pytorch.org/cppdocs). 

Our aim is to create a Bayesian computational platform 
which covers a wide set of applications from particle physics
simulations to deep learning and general differentiable programs
written on top of `AutoGrad` & `ATen`.

## Installation

Currently, to build native artifacts, we support only 
the [GNU](https://gcc.gnu.org/) toolchain. For `GPU` kernels, we require a compatible 
[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
installation. If you are on Windows, we recommend setting up
everything on [WSL](https://docs.nvidia.com/cuda/wsl-user-guide/index.html).

To install the library, you have to publish 
locally `kmath-core`, `kmath-tensors` with `kmath-noa`:

```
./gradlew -q :kmath-core:publishToMavenLocal :kmath-tensors:publishToMavenLocal :kmath-noa:publishToMavenLocal
```

This builds `jtorch` a JNI wrapper for `NOA/LibTorch`, placed inside:

`~/.konan/third-party/kmath-noa-<version>/cpp-build`