saudet

// Same as https://gist.github.com/nebulorum/f7978aa5519cab8bece65d4dac689d4f but using LongPointer

import static java.util.concurrent.Executors.newFixedThreadPool;

import com.google.common.util.concurrent.ThreadFactoryBuilder;
import java.util.concurrent.ScheduledThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;
import org.bytedeco.javacpp.LongPointer;

saudet

import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;

/**
 * java -jar /path/to/javacpp.jar NanoChrono.java
 * java -cp /path/to/javacpp.jar:. NanoChrono
 */
@Platform(include = "chrono")
public class NanoChrono {
    static { Loader.load(); }

saudet

/*
 * Copyright (c) 2014, Oracle America, Inc.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 *  * Redistributions of source code must retain the above copyright notice,
 *    this list of conditions and the following disclaimer.
 *

saudet

package org.deeplearning4j.examples.convolution.objectdetection;

import java.io.File;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;

saudet

/arm_controller/follow_joint_trajectory/cancel
/arm_controller/follow_joint_trajectory/feedback
/arm_controller/follow_joint_trajectory/goal
/arm_controller/follow_joint_trajectory/result
/arm_controller/follow_joint_trajectory/status
/arm_with_torso_controller/follow_joint_trajectory/cancel
/arm_with_torso_controller/follow_joint_trajectory/feedback
/arm_with_torso_controller/follow_joint_trajectory/goal
/arm_with_torso_controller/follow_joint_trajectory/result
/arm_with_torso_controller/follow_joint_trajectory/status

saudet

import java.io.File;
import java.util.Arrays;

import javax.swing.JFrame;

import org.math.plot.FrameView;
import org.math.plot.Plot2DPanel;
import org.math.plot.PlotPanel;
import org.math.plot.plots.ColoredScatterPlot;
import org.math.plot.plots.ScatterPlot;

saudet

import java.util.concurrent.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;

@Platform(include="testgc.h")
public class TestGC {
    static { Loader.load(); }

    static native void processLongPtr(@Cast("float*") long ptr, long size);
    static native void processPointer(FloatPointer ptr, long size);

saudet

# The train/test net protocol buffer definition
net: "examples/mnist/simple_train_test.prototxt"
# test_iter specifies how many forward passes the test should carry out.
# In the case of MNIST, we have test batch size 100 and 100 test iterations,
# covering the full 10,000 testing images.
test_iter: 78
# Carry out testing every 500 training iterations.
test_interval: 7035
# The base learning rate, momentum and the weight decay of the network.
base_lr: 0.006

saudet

// Build and execute normally:
// $ javac -cp javacpp.jar HelloPointer.java
// $ java -jar javacpp.jar HelloPointer
// $ java  -cp javacpp.jar HelloPointer

import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;

@Platform
public class HelloPointer {