kscience/kmath
9
0
Fork 1
Code Issues Pull Requests 6 Packages Projects Releases 16 Wiki Activity

fix error in usage docs

Browse Source
This commit is contained in:
Roland Grinis 2021-08-01 17:44:59 +01:00
parent 371674c9d3
commit 633eb7ad4e
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
kmath-noa/README.md
View File

@ -1,12 +1,12 @@
# Module kmath-noa # Module kmath-noa
A Bayesian computation library over A general purpose differentiable computation library over
[NOA](https://github.com/grinisrit/noa.git) [NOA](https://github.com/grinisrit/noa.git)
together with relevant functionality from together with relevant functionality from
[LibTorch](https://pytorch.org/cppdocs). [LibTorch](https://pytorch.org/cppdocs).
Our aim is to cover a wide set of applications Our aim is to cover a wide set of applications
from deep learning to particle physics from bayesian optimisation and deep learning to particle physics
simulations. In fact, we support any simulations. In fact, we support any
differentiable program written on top of differentiable program written on top of
`AutoGrad` & `ATen`. `AutoGrad` & `ATen`.
@ -40,7 +40,7 @@ dependencies {
``` ```
To load the native library you will need to add to the VM options: To load the native library you will need to add to the VM options:
``` ```
-Djava.library.path=${HOME}/.konan/third-party/noa-v0.0.1/cpp-build/kmath -Djava.library.path=${HOME}/.konan/third-party/noa-v0.0.1/cpp-build/jnoa
``` ```
## Usage ## Usage