Add openCL support
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123
src/com/sheepit/client/hardware/gpu/nvidia/Nvidia.java
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123
src/com/sheepit/client/hardware/gpu/nvidia/Nvidia.java
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package com.sheepit.client.hardware.gpu.nvidia;
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import java.util.HashMap;
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import java.util.LinkedList;
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import java.util.List;
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import java.util.Map;
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import com.sheepit.client.hardware.gpu.nvidia.CUDeviceAttribute;
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import com.sheepit.client.hardware.gpu.GPUDevice;
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import com.sheepit.client.hardware.gpu.GPULister;
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import com.sheepit.client.os.OS;
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import com.sun.jna.Native;
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import com.sun.jna.ptr.IntByReference;
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import com.sun.jna.ptr.LongByReference;
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public class Nvidia implements GPULister {
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public static String TYPE = "CUDA";
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@Override
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public List<GPUDevice> getGpus() {
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OS os = OS.getOS();
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String path = os.getCUDALib();
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if (path == null) {
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return null;
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}
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CUDA cudalib = null;
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try {
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cudalib = (CUDA) Native.loadLibrary(path, CUDA.class);
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}
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catch (java.lang.UnsatisfiedLinkError e) {
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return null;
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}
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catch (java.lang.ExceptionInInitializerError e) {
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System.out.println("Nvidia::getGpus ExceptionInInitializerError " + e);
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return null;
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}
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catch (Exception e) {
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System.out.println("Nvidia::getGpus generic exception " + e);
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return null;
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}
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int result = CUresult.CUDA_ERROR_UNKNOWN;
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result = cudalib.cuInit(0);
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuInit failed (ret: " + result + ")");
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if (result == CUresult.CUDA_ERROR_UNKNOWN) {
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System.out.println("If you are running Linux, this error is usually due to nvidia kernel module 'nvidia_uvm' not loaded.");
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System.out.println("Relaunch the application as root or load the module.");
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System.out.println("Most of time it does fix the issue.");
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}
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return null;
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}
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if (result == CUresult.CUDA_ERROR_NO_DEVICE) {
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return null;
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}
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IntByReference count = new IntByReference();
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result = cudalib.cuDeviceGetCount(count);
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuDeviceGetCount failed (ret: " + CUresult.stringFor(result) + ")");
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return null;
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}
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List<GPUDevice> devices = new LinkedList<GPUDevice>();
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HashMap<Integer, GPUDevice> devicesWithPciId = new HashMap<Integer, GPUDevice>(count.getValue());
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for (int num = 0; num < count.getValue(); num++) {
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IntByReference aDevice = new IntByReference();
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result = cudalib.cuDeviceGet(aDevice, num);
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuDeviceGet failed (ret: " + CUresult.stringFor(result) + ")");
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continue;
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}
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IntByReference pciBusId = new IntByReference();
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result = cudalib.cuDeviceGetAttribute(pciBusId, CUDeviceAttribute.CU_DEVICE_ATTRIBUTE_PCI_BUS_ID, aDevice.getValue());
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuDeviceGetAttribute for CU_DEVICE_ATTRIBUTE_PCI_BUS_ID failed (ret: " + CUresult.stringFor(result) + ")");
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continue;
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}
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byte name[] = new byte[256];
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result = cudalib.cuDeviceGetName(name, 256, num);
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuDeviceGetName failed (ret: " + CUresult.stringFor(result) + ")");
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continue;
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}
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LongByReference ram = new LongByReference();
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try {
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result = cudalib.cuDeviceTotalMem_v2(ram, num);
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}
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catch (UnsatisfiedLinkError e) {
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// fall back to old function
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result = cudalib.cuDeviceTotalMem(ram, num);
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}
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if (result != CUresult.CUDA_SUCCESS) {
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System.out.println("Nvidia::getGpus cuDeviceTotalMem failed (ret: " + CUresult.stringFor(result) + ")");
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return null;
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}
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devicesWithPciId.put(pciBusId.getValue(), new GPUDevice(TYPE, new String(name).trim(), ram.getValue(), "FAKE"));
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}
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// generate proper cuda id
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// in theory a set to environment "CUDA_DEVICE_ORDER=PCI_BUS_ID" should be enough but it didn't work
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int i = 0;
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for (Map.Entry<Integer, GPUDevice> entry : devicesWithPciId.entrySet()){
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GPUDevice aDevice = entry.getValue();
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aDevice.setId(TYPE + "_" + Integer.toString(i));
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devices.add(aDevice);
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i++;
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}
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return devices;
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}
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}
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