Question

我一直在尝试使用这个GPU库Rootbeer我已经运行了演示，它们运行正常，然后我尝试运行我的代码，并在此片段的倒数第二行（{{ 1}}），我收到错误（见上一节）。

Rootbeer rootbeer = new Rootbeer();

这是我正在运行的课程：

    // This sesction is within a JSlider change event.
    int val = sldBrightness.getValue();
    List<Kernel> jobs = new ArrayList<Kernel>();
    jobs.add(new Brightness(val));
    Rootbeer rootbeer = new Rootbeer();
    rootbeer.runAll(jobs);

这是输出错误。我真的很难过为什么会显示package pocketshop.graphics.adjustments; import edu.syr.pcpratts.rootbeer.runtime.Kernel; import java.awt.image.BufferedImage; import pocketshop.Canvas; import pocketshop.graphics.Colors; import pocketshop.graphics.Preview; /** * * @author Ryan */ public class Brightness implements Kernel { protected int amount = 0; protected int width, height; int[] pixels; // = new int[width * height]; public void amount(int amount) { this.amount = amount; } public Brightness(int amount) { this.amount = amount; width = Canvas.image.getWidth(); height = Canvas.image.getHeight(); pixels = new int[width * height]; Canvas.image.getRGB(0, 0, width, height, pixels, 0, width); } public void setImage() { BufferedImage img = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB); img.setRGB(0, 0, width, height, pixels, 0, width); Preview.setImage(img); } @Override public void gpuMethod() { int[] pixels = this.pixels; for (int i = 0; i < pixels.length; i++) { int pixel = pixels[i]; int red = Colors.red(pixel); int green = Colors.green(pixel); int blue = Colors.blue(pixel); red += amount; if (red > 255) { red = 255; } else if (red < 0) { red = 0; } green += amount; if (green > 255) { green = 255; } else if (green < 0) { green = 0; } blue += amount; if (blue > 255) { blue = 255; } else if (blue < 0) { blue = 0; } pixels[i] = Colors.rgba(red, green, blue); } } }

Caused by: edu.syr.pcpratts.rootbeer.runtime2.cuda.CudaErrorException: CUDA_ERROR_OUT_OF_MEMORY: gpuHandlesMemory memory allocation failed

Answer 1

尝试编辑文件：/.rootbeer/config

将reserve_mem值更改为更大的数字。

然后可以通过电子邮件发送给我这个命令的结果： $ java -jar Rootbeer.jar -printdeviceinfo

Rootbeer GPU CUDA_ERROR_OUT_OF_MEMORY

1 个答案: