115 lines
3.4 KiB
C++
115 lines
3.4 KiB
C++
// Copyright 2016 Google Inc. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Includes the Jni utilities for Android to be able to create the
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// relevant bindings for java, including JNIEXPORT, JNICALL , and
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// other "j-variables".
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#include <jni.h>
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// The ML class exposing the Kompute ML workflow for training and
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// prediction of inference data.
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#include "KomputeModelML.hpp"
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// Allows us to use the C++ sleep function to wait when loading the
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// Vulkan library in android
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#include <unistd.h>
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#ifndef KOMPUTE_VK_INIT_RETRIES
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#define KOMPUTE_VK_INIT_RETRIES 5
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#endif
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static std::vector<float> jfloatArrayToVector(JNIEnv *env, const jfloatArray & fromArray) {
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float *inCArray = env->GetFloatArrayElements(fromArray, NULL);
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if (NULL == inCArray) return std::vector<float>();
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int32_t length = env->GetArrayLength(fromArray);
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std::vector<float> outVector(inCArray, inCArray + length);
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return outVector;
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}
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static jfloatArray vectorToJFloatArray(JNIEnv *env, const std::vector<float> & fromVector) {
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jfloatArray ret = env->NewFloatArray(fromVector.size());
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if (NULL == ret) return NULL;
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env->SetFloatArrayRegion(ret, 0, fromVector.size(), fromVector.data());
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return ret;
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}
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extern "C" {
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JNIEXPORT jboolean JNICALL
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Java_com_ethicalml_kompute_KomputeJni_initVulkan(JNIEnv *env, jobject thiz) {
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SPDLOG_INFO("Initialising vulkan");
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uint32_t totalRetries = 0;
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while (totalRetries < KOMPUTE_VK_INIT_RETRIES) {
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SPDLOG_INFO("VULKAN LOAD TRY NUMBER: %u", totalRetries);
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if(InitVulkan()) {
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break;
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}
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sleep(1);
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totalRetries++;
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}
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return totalRetries < KOMPUTE_VK_INIT_RETRIES;
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}
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JNIEXPORT jfloatArray JNICALL
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Java_com_ethicalml_kompute_KomputeJni_kompute(
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JNIEnv *env,
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jobject thiz,
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jfloatArray xiJFloatArr,
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jfloatArray xjJFloatArr,
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jfloatArray yJFloatArr) {
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SPDLOG_INFO("Creating manager");
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std::vector<float> xiVector = jfloatArrayToVector(env, xiJFloatArr);
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std::vector<float> xjVector = jfloatArrayToVector(env, xjJFloatArr);
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std::vector<float> yVector = jfloatArrayToVector(env, yJFloatArr);
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KomputeModelML kml;
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kml.train(yVector, xiVector, xjVector);
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std::vector<float> pred = kml.predict(xiVector, xjVector);
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return vectorToJFloatArray(env, pred);
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}
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JNIEXPORT jfloatArray JNICALL
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Java_com_ethicalml_kompute_KomputeJni_komputeParams(
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JNIEnv *env,
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jobject thiz,
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jfloatArray xiJFloatArr,
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jfloatArray xjJFloatArr,
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jfloatArray yJFloatArr) {
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SPDLOG_INFO("Creating manager");
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std::vector<float> xiVector = jfloatArrayToVector(env, xiJFloatArr);
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std::vector<float> xjVector = jfloatArrayToVector(env, xjJFloatArr);
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std::vector<float> yVector = jfloatArrayToVector(env, yJFloatArr);
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KomputeModelML kml;
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kml.train(yVector, xiVector, xjVector);
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std::vector<float> params = kml.get_params();
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return vectorToJFloatArray(env, params);
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}
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}
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