initial build

kmath-noa/README.md

@@ -18,14 +18,8 @@ the [GNU](https://gcc.gnu.org/) toolchain. For `GPU` kernels, we require a compa
 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`:
-
+To install the library, simply publish it locally:
 ```
-./gradlew -q :kmath-core:publishToMavenLocal :kmath-tensors:publishToMavenLocal :kmath-noa:publishToMavenLocal
+./gradlew -q :kmath-noa:publishToMavenLocal
 ```
 
-This builds `jtorch` a JNI wrapper for `NOA/LibTorch`, placed inside:
-
-`~/.konan/third-party/kmath-noa-<version>/cpp-build`
-

kmath-noa/build.gradle.kts

@@ -27,23 +27,32 @@ val cppSources = projectDir.resolve("src/main/cpp")
 val cudaHome: String? = System.getenv("CUDA_HOME")
 val cudaDefault = file("/usr/local/cuda").exists()
 val cudaFound = cudaHome?.isNotEmpty() ?: false or cudaDefault
-
-val cmakeArchive = "cmake-3.20.5-Linux-x86_64"
+val cmakeArchive = "cmake-3.20.5-linux-x86_64"
 val torchArchive = "libtorch"
 
-val cmakeCmd = "$thirdPartyDir/$cmakeArchive/bin/cmake"
-val ninjaCmd = "$thirdPartyDir/ninja"
+val cmakeCmd = "$thirdPartyDir/cmake/$cmakeArchive/bin/cmake"
+val ninjaCmd = "$thirdPartyDir/ninja/ninja"
+
+val generateJNIHeader by tasks.registering {
+    println(cmakeCmd)
+    doLast {
+        exec {
+            workingDir(projectDir.resolve("src/main/java/space/kscience/kmath/noa"))
+            commandLine("$javaHome/bin/javac", "-h", cppSources , "JNoa.java")
+        }
+    }
+}
 
 val downloadCMake by tasks.registering(Download::class) {
     val tarFile = "$cmakeArchive.tar.gz"
     src("https://github.com/Kitware/CMake/releases/download/v3.20.5/$tarFile")
-    dest(File(thirdPartyDir, tarFile))
+    dest(File("$thirdPartyDir/cmake", tarFile))
     overwrite(false)
 }
 
 val downloadNinja by tasks.registering(Download::class) {
     src("https://github.com/ninja-build/ninja/releases/download/v1.10.2/ninja-linux.zip")
-    dest(File(thirdPartyDir, "ninja-linux.zip"))
+    dest(File("$thirdPartyDir/ninja", "ninja-linux.zip"))
     overwrite(false)
 }
 
@@ -53,24 +62,72 @@ val downloadTorch by tasks.registering(Download::class) {
     val cpuUrl = "https://download.pytorch.org/libtorch/cpu/${torchVersion}cpu.zip"
     val url = if (cudaFound) cudaUrl else cpuUrl
     src(url)
-    dest(File(thirdPartyDir, "$torchArchive.zip"))
+    dest(File("$thirdPartyDir/torch", "$torchArchive.zip"))
     overwrite(false)
 }
 
 val extractCMake by tasks.registering(Copy::class) {
     dependsOn(downloadCMake)
     from(tarTree(resources.gzip(downloadCMake.get().dest)))
-    into(thirdPartyDir)
+    into("$thirdPartyDir/cmake")
 }
 
 val extractNinja by tasks.registering(Copy::class) {
     dependsOn(downloadNinja)
     from(zipTree(downloadNinja.get().dest))
-    into(thirdPartyDir)
+    into("$thirdPartyDir/ninja")
 }
 
 val extractTorch by tasks.registering(Copy::class) {
     dependsOn(downloadTorch)
     from(zipTree(downloadTorch.get().dest))
-    into(thirdPartyDir)
+    into("$thirdPartyDir/torch")
 }
+
+val configureCpp by tasks.registering {
+    dependsOn(extractCMake)
+    dependsOn(extractNinja)
+    dependsOn(extractTorch)
+    onlyIf { !file(cppBuildDir).exists() }
+    doLast {
+        exec {
+            workingDir(thirdPartyDir)
+            commandLine("mkdir", "-p", cppBuildDir)
+        }
+        exec {
+            workingDir(cppBuildDir)
+            commandLine(
+                cmakeCmd,
+                cppSources,
+                "-GNinja",
+                "-DCMAKE_MAKE_PROGRAM=$ninjaCmd",
+                "-DCMAKE_PREFIX_PATH=$thirdPartyDir/torch/$torchArchive",
+                "-DJAVA_HOME=$javaHome",
+                "-DCMAKE_BUILD_TYPE=Release",
+                "-DBUILD_NOA_CUDA=${if(!cudaFound) "ON" else "OFF"}"
+            )
+        }
+    }
+}
+
+val cleanCppBuild by tasks.registering {
+    onlyIf { file(cppBuildDir).exists() }
+    doLast {
+        exec {
+            workingDir(thirdPartyDir)
+            commandLine("rm", "-rf", cppBuildDir)
+        }
+    }
+}
+
+val buildCpp by tasks.registering {
+    dependsOn(configureCpp)
+    doLast {
+        exec {
+            workingDir(cppBuildDir)
+            commandLine(cmakeCmd, "--build", ".", "--config", "Release")
+        }
+    }
+}
+
+tasks["compileJava"].dependsOn(buildCpp)

kmath-noa/src/main/cpp/CMakeLists.txt

@@ -0,0 +1,37 @@
+cmake_minimum_required(VERSION 3.12)
+
+project(JNOA LANGUAGES C CXX)
+
+# Require C++17
+set(CMAKE_CXX_STANDARD 17)
+
+find_package(Torch REQUIRED)
+find_package(JNI REQUIRED)
+
+include(FetchContent)
+
+if(NOT TARGET noa)
+    FetchContent_Declare(
+        noa
+        GIT_REPOSITORY https://github.com/grinisrit/noa.git
+        GIT_TAG        kmath)
+
+    FetchContent_GetProperties(noa)
+
+    if(NOT noa_POPULATED)
+        FetchContent_Populate(noa)
+
+        set(INSTALL_NOA OFF CACHE BOOL "")
+        set(BUILD_NOA_TESTS OFF CACHE BOOL "")
+        set(BUILD_NOA_BENCHMARKS OFF CACHE BOOL "")
+      
+        add_subdirectory(
+            ${noa_SOURCE_DIR}
+            ${noa_BINARY_DIR})
+    endif()
+endif()
+
+add_library(jnoa SHARED jnoa.cc)
+target_include_directories(jnoa PRIVATE ${JNI_INCLUDE_DIRS})
+target_link_libraries(jnoa PRIVATE torch NOA::NOA)
+target_compile_options(jnoa PRIVATE -Wall -Wextra -Wpedantic -O3 -fPIC)

kmath-noa/src/main/cpp/jnoa.cc

@@ -0,0 +1,17 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+
+#include <noa/ghmc.hh>
+#include <torch/torch.h>
+
+
+#include "space_kscience_kmath_noa_JNoa.h"
+
+
+JNIEXPORT jboolean JNICALL Java_space_kscience_kmath_noa_JNoa_cudaIsAvailable(JNIEnv *, jclass)
+{
+    return torch::cuda::is_available();
+}

kmath-noa/src/main/cpp/space_kscience_kmath_noa_JNoa.h

@@ -0,0 +1,21 @@
+/* DO NOT EDIT THIS FILE - it is machine generated */
+#include <jni.h>
+/* Header for class space_kscience_kmath_noa_JNoa */
+
+#ifndef _Included_space_kscience_kmath_noa_JNoa
+#define _Included_space_kscience_kmath_noa_JNoa
+#ifdef __cplusplus
+extern "C" {
+#endif
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    cudaIsAvailable
+ * Signature: ()Z
+ */
+JNIEXPORT jboolean JNICALL Java_space_kscience_kmath_noa_JNoa_cudaIsAvailable
+  (JNIEnv *, jclass);
+
+#ifdef __cplusplus
+}
+#endif
+#endif

kmath-noa/src/main/java/space/kscience/kmath/noa/JNoa.java

@@ -0,0 +1,24 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.noa;
+
+public class JNoa {
+
+    static {
+        String jNoaPath = System.getProperty("user.home") +
+                "/.konan/third-party/kmath-noa-0.3.0-dev-14/cpp-build/libjnoa.so";
+
+        try {
+            System.load(jNoaPath);
+        } catch (UnsatisfiedLinkError e) {
+            System.err.println("Failed to load native NOA library from:\n" +
+                    jNoaPath +"\n" + e);
+            System.exit(1);
+        }
+    }
+
+    public static native boolean cudaIsAvailable();
+}

kmath-noa/src/main/kotlin/space/kscience/kmath/noa/utils.kt

@@ -0,0 +1,10 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.noa
+
+public fun cudaAvailable(): Boolean {
+    return JNoa.cudaIsAvailable()
+}

kmath-noa/src/test/kotlin/space/kscience/kmath/noa/TestUtils.kt

@@ -0,0 +1,16 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.noa
+
+import kotlin.test.Test
+
+class TestUtils {
+
+    @Test
+    fun checkCuda() {
+        println(cudaAvailable())
+    }
+}