dependencies fixed

kmath-noa/README.md

@@ -12,15 +12,14 @@ differentiable program written on top of
 
 ## Installation
 
-Currently, to build native artifacts, we support only 
+To install the library, you can simply publish to the local
-the [GNU](https://gcc.gnu.org/) toolchain. For `GPU` kernels, we require a compatible 
+Maven repository:
+```
+./gradlew -q :kmath-noa:publishToMavenLocal
+```
+This will fetch and build native artifacts as well.
+Currently, 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, simply publish the modules `kmath-tensors` 
-and `kmath-noa` locally:
-```
-./gradlew -q :kmath-tensors:publishToMavenLocal :kmath-noa:publishToMavenLocal
-```
-

kmath-noa/build.gradle.kts

@@ -15,7 +15,7 @@ plugins {
 description = "Wrapper for the Bayesian Computation library NOA on top of LibTorch"
 
 dependencies {
-    api(project(":kmath-tensors"))
+    implementation(project(":kmath-tensors"))
 }
 
 val home: String = System.getProperty("user.home")
@@ -185,8 +185,8 @@ val buildCpp by tasks.registering {
 tasks {
     withType<Test>{
         systemProperty("java.library.path",
-            //"$cppBuildDir/kmath"
+            "$cppBuildDir/kmath")
-        "$home/devspace/noa/cmake-build-release/kmath")
+        //"$home/devspace/noa/cmake-build-release/kmath")
     }
 }
 

kmath-tensors/build.gradle.kts

@@ -9,7 +9,7 @@ kotlin.sourceSets {
     commonMain {
         dependencies {
             api(project(":kmath-core"))
-            api(project(":kmath-stat"))
+            implementation(project(":kmath-stat"))
         }
     }
 }