问监视NVENC硬件(活动或空闲)

EN

     cuResult = cuInit(0);

if (cuResult != CUDA_SUCCESS)
{
    printf(">> GetNumberEncoders() - cuInit() failed error:0x%x\n", cuResult);
    exit(EXIT_FAILURE);
}

checkCudaErrors(cuDeviceGetCount(&deviceCount));

if (deviceCount == 0)
{
    printf(">> GetNumberEncoders() - reports no devices available that support CUDA\n");
    exit(EXIT_FAILURE);
}
else
{
    printf(">> GetNumberEncoders() has detected %d CUDA capable GPU device(s) <<\n", deviceCount);

    for (int currentDevice=0; currentDevice < deviceCount; currentDevice++)
    {
        checkCudaErrors(cuDeviceGet(&cuDevice, currentDevice));
        checkCudaErrors(cuDeviceGetName(gpu_name, 100, cuDevice));
        checkCudaErrors(cuDeviceComputeCapability(&SMmajor, &SMminor, currentDevice));
        printf("  [ GPU #%d - < %s > has Compute SM %d.%d, NVENC %s ]\n",
               currentDevice, gpu_name, SMmajor, SMminor,
               (((SMmajor << 4) + SMminor) >= 0x30) ? "Available" : "Not Available");

        if (((SMmajor << 4) + SMminor) >= 0x30)
        {
            encoderInfo[NVENC_devices].device = currentDevice;
            strcpy(encoderInfo[NVENC_devices].gpu_name, gpu_name);
            NVENC_devices++;
        }
    }
}