sheepit-shadow-nabber/src/com/sheepit/client/hardware/gpu/nvidia/Nvidia.java

package com.sheepit.client.hardware.gpu.nvidia;

import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;

import com.sheepit.client.hardware.gpu.nvidia.CUDeviceAttribute;
import com.sheepit.client.hardware.gpu.GPUDevice;
import com.sheepit.client.hardware.gpu.GPULister;
import com.sheepit.client.os.OS;
import com.sun.jna.Native;
import com.sun.jna.ptr.IntByReference;
import com.sun.jna.ptr.LongByReference;

public class Nvidia implements GPULister {
	public static String TYPE = "CUDA";
	
	@Override
	public List<GPUDevice> getGpus() {
		OS os = OS.getOS();
		String path = os.getCUDALib();
		if (path == null) {
			return null;
		}
		CUDA cudalib = null;
		try {
			cudalib = (CUDA) Native.loadLibrary(path, CUDA.class);
		}
		catch (java.lang.UnsatisfiedLinkError e) {
			return null;
		}
		catch (java.lang.ExceptionInInitializerError e) {
			System.out.println("Nvidia::getGpus ExceptionInInitializerError " + e);
			return null;
		}
		catch (Exception e) {
			System.out.println("Nvidia::getGpus generic exception " + e);
			return null;
		}
		
		int result = CUresult.CUDA_ERROR_UNKNOWN;
		
		result = cudalib.cuInit(0);
		if (result != CUresult.CUDA_SUCCESS) {
			System.out.println("Nvidia::getGpus cuInit failed (ret: " + result + ")");
			if (result == CUresult.CUDA_ERROR_UNKNOWN) {
				System.out.println("If you are running Linux, this error is usually due to nvidia kernel module 'nvidia_uvm' not loaded.");
				System.out.println("Relaunch the application as root or load the module.");
				System.out.println("Most of time it does fix the issue.");
			}
			return null;
		}
		
		if (result == CUresult.CUDA_ERROR_NO_DEVICE) {
			return null;
		}
		
		IntByReference count = new IntByReference();
		result = cudalib.cuDeviceGetCount(count);
		
		if (result != CUresult.CUDA_SUCCESS) {
			System.out.println("Nvidia::getGpus cuDeviceGetCount failed (ret: " + CUresult.stringFor(result) + ")");
			return null;
		}
		
		List<GPUDevice> devices = new LinkedList<GPUDevice>();
		
		HashMap<String, GPUDevice> devicesWithPciId = new HashMap<String, GPUDevice>(count.getValue());
		for (int num = 0; num < count.getValue(); num++) {
			IntByReference aDevice = new IntByReference();
			
			result =  cudalib.cuDeviceGet(aDevice, num);
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceGet failed (ret: " + CUresult.stringFor(result) + ")");
				continue;
			}
			
			IntByReference pciDomainId = new IntByReference();
			IntByReference pciBusId = new IntByReference();
			IntByReference pciDeviceId = new IntByReference();
			result =  cudalib.cuDeviceGetAttribute(pciDomainId, CUDeviceAttribute.CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID, aDevice.getValue());
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceGetAttribute for CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID failed (ret: " + CUresult.stringFor(result) + ")");
				continue;
			}
			result =  cudalib.cuDeviceGetAttribute(pciBusId, CUDeviceAttribute.CU_DEVICE_ATTRIBUTE_PCI_BUS_ID, aDevice.getValue());
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceGetAttribute for CU_DEVICE_ATTRIBUTE_PCI_BUS_ID failed (ret: " + CUresult.stringFor(result) + ")");
				continue;
			}
			result =  cudalib.cuDeviceGetAttribute(pciDeviceId, CUDeviceAttribute.CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID, aDevice.getValue());
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceGetAttribute for CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID failed (ret: " + CUresult.stringFor(result) + ")");
				continue;
			}
			
			byte name[] = new byte[256];
			
			result = cudalib.cuDeviceGetName(name, 256, num);
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceGetName failed (ret: " + CUresult.stringFor(result) + ")");
				continue;
			}
			
			LongByReference ram = new LongByReference();
			try {
				result = cudalib.cuDeviceTotalMem_v2(ram, num);
			}
			catch (UnsatisfiedLinkError e) {
				// fall back to old function
				result = cudalib.cuDeviceTotalMem(ram, num);
			}
			
			if (result != CUresult.CUDA_SUCCESS) {
				System.out.println("Nvidia::getGpus cuDeviceTotalMem failed (ret: " + CUresult.stringFor(result) + ")");
				return null;
			}
			
			String blenderId = String.format("CUDA_%s_%04x:%02x:%02x",
					new String(name).trim(),
					pciDomainId.getValue(),
					pciBusId.getValue(),
					pciDeviceId.getValue());
			devicesWithPciId.put(Integer.toString(pciBusId.getValue()), new GPUDevice(TYPE, new String(name).trim(), ram.getValue(), blenderId));
		}
		
		// for backward compatibility generate a CUDA_N id
		// in theory a set to environment "CUDA_DEVICE_ORDER=PCI_BUS_ID" should be enough but it didn't work
		int i = 0;
		for (Map.Entry<String, GPUDevice> entry : devicesWithPciId.entrySet()){
			GPUDevice aDevice = entry.getValue();
			aDevice.setOldId(TYPE + "_" + Integer.toString(i));
			devices.add(aDevice);
			i++;
		}
		
		return devices;
	}
	
}