int PrefixSum::setupCL(void) { cl_int status = 0; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ cl_platform_id platform = NULL; int retValue = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled()); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon->getPlatform() failed"); // Display available devices. retValue = sampleCommon->displayDevices(platform, dType); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::displayDevices() failed"); /* * If we could find our platform, use it. Otherwise use just available platform. */ cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 }; context = clCreateContextFromType( cps, dType, NULL, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed."); status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled()); CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed"); //Set device info of given cl_device_id status = deviceInfo.setDeviceInfo(devices[deviceId]); CHECK_ERROR(status, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed"); { // The block is to move the declaration of prop closer to its use cl_command_queue_properties prop = 0; commandQueue = clCreateCommandQueue( context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed."); } // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; inputBuffer = clCreateBuffer( context, inMemFlags, sizeof(cl_float) * length, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputBuffer)"); outputBuffer = clCreateBuffer( context, CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR, sizeof(cl_float) * length, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBuffer)"); // create a CL program using the kernel source streamsdk::buildProgramData buildData; buildData.kernelName = std::string("PrefixSum_Kernels.cl"); buildData.devices = devices; buildData.deviceId = deviceId; buildData.flagsStr = std::string(""); if(isLoadBinaryEnabled()) buildData.binaryName = std::string(loadBinary.c_str()); if(isComplierFlagsSpecified()) buildData.flagsFileName = std::string(flags.c_str()); retValue = sampleCommon->buildOpenCLProgram(program, context, buildData); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed"); // get a kernel object handle for a kernel with the given name kernel = clCreateKernel(program, "prefixSum", &status); CHECK_OPENCL_ERROR(status, "clCreateKernel failed."); return SDK_SUCCESS; }
int DwtHaar1D::setupCL(void) { cl_int status = 0; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ cl_platform_id platform = NULL; int retValue = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled()); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed"); // Display available devices. retValue = sampleCommon->displayDevices(platform, dType); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::displayDevices() failed"); // If we could find our platform, use it. Otherwise use just available platform. cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 }; context = clCreateContextFromType(cps, dType, NULL, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed."); // getting device on which to run the sample status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled()); CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed"); commandQueue = clCreateCommandQueue(context, devices[deviceId], 0, &status); CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed."); //Set device info of given cl_device_id retValue = deviceInfo.setDeviceInfo(devices[deviceId]); CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed"); // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; inDataBuf = clCreateBuffer(context, inMemFlags, sizeof(cl_float) * signalLength, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inDataBuf)"); dOutDataBuf = clCreateBuffer(context, CL_MEM_WRITE_ONLY, signalLength * sizeof(cl_float), NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (dOutDataBuf)"); dPartialOutDataBuf = clCreateBuffer(context, CL_MEM_WRITE_ONLY, signalLength * sizeof(cl_float), NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (dPartialOutDataBuf)"); // create a CL program using the kernel source streamsdk::buildProgramData buildData; buildData.kernelName = std::string("DwtHaar1DCPPKernel_Kernels.cl"); buildData.devices = devices; buildData.deviceId = deviceId; buildData.flagsStr = std::string("-x clc++ "); if(isLoadBinaryEnabled()) buildData.binaryName = std::string(loadBinary.c_str()); if(isComplierFlagsSpecified()) buildData.flagsFileName = std::string(flags.c_str()); retValue = sampleCommon->buildOpenCLProgram(program, context, buildData); CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed"); // get a kernel object handle for a kernel with the given name kernel = clCreateKernel(program, "dwtHaar1D", &status); CHECK_OPENCL_ERROR(status, "clCreateKernel failed."); status = kernelInfo.setKernelWorkGroupInfo(kernel,devices[deviceId]); CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed"); return SDK_SUCCESS; }
int EigenValue::setupCL(void) { cl_int status = 0; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ cl_platform_id platform = NULL; int retValue = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled()); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed"); // Display available devices. retValue = sampleCommon->displayDevices(platform, dType); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::displayDevices() failed"); // If we could find our platform, use it. Otherwise use just available platform. cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 }; context = clCreateContextFromType( cps, dType, NULL, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed."); // getting device on which to run the sample status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled()); CHECK_ERROR(status, 0, "sampleCommon::getDevices() failed"); { // The block is to move the declaration of prop closer to its use cl_command_queue_properties prop = 0; commandQueue = clCreateCommandQueue( context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed."); } // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; // cl mem to store the diagonal elements of the matrix diagonalBuffer = clCreateBuffer( context, inMemFlags, sizeof(cl_float) * length, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (diagonalBuffer)"); // cl mem to store the number of eigenvalues in each interval numEigenValuesIntervalBuffer = clCreateBuffer( context, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, sizeof(cl_uint) * length, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (diagonalBuffer)"); // cl mem to store the offDiagonal elements of the matrix offDiagonalBuffer = clCreateBuffer( context, inMemFlags, sizeof(cl_float) * (length-1), NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (offDiagonalBuffer)"); // cl mem to store the eigenvalue intervals for(int i = 0 ; i < 2 ; ++ i) { eigenIntervalBuffer[i] = clCreateBuffer( context, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, sizeof(cl_uint) * length * 2, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (eigenIntervalBuffer)"); } // create a CL program using the kernel source streamsdk::buildProgramData buildData; buildData.kernelName = std::string("EigenValue_Kernels.cl"); buildData.devices = devices; buildData.deviceId = deviceId; buildData.flagsStr = std::string("-x clc++"); if(isLoadBinaryEnabled()) buildData.binaryName = std::string(loadBinary.c_str()); if(isComplierFlagsSpecified()) buildData.flagsFileName = std::string(flags.c_str()); retValue = sampleCommon->buildOpenCLProgram(program, context, buildData); CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed"); // get a kernel object handle for a kernel with the given name kernel[0] = clCreateKernel(program, "calNumEigenValueInterval", &status); if(sampleCommon->checkVal( status, CL_SUCCESS, "clCreateKernel failed.")) return SDK_FAILURE; // get a kernel object handle for a kernel with the given name kernel[1] = clCreateKernel(program, "recalculateEigenIntervals", &status); if(sampleCommon->checkVal( status, CL_SUCCESS, "clCreateKernel failed.")) return SDK_FAILURE; return SDK_SUCCESS; }
int FluidSimulation2D::setupCL() { cl_int status = CL_SUCCESS; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ cl_platform_id platform = NULL; int retValue = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled()); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed"); // Display available devices. retValue = sampleCommon->displayDevices(platform, dType); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::displayDevices() failed"); // If we could find our platform, use it. Otherwise use just available platform. cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 }; context = clCreateContextFromType( cps, dType, NULL, NULL, &status); CHECK_OPENCL_ERROR( status, "clCreateContextFromType failed."); // getting device on which to run the sample status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled()); CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed"); { // The block is to move the declaration of prop closer to its use cl_command_queue_properties prop = 0; commandQueue = clCreateCommandQueue( context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR( status, "clCreateCommandQueue failed."); } //Set device info of given cl_device_id retValue = deviceInfo.setDeviceInfo(devices[deviceId]); CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed"); std::string buildOptions = std::string(""); // Check if cl_khr_fp64 extension is supported if(strstr(deviceInfo.extensions, "cl_khr_fp64")) { buildOptions.append("-D KHR_DP_EXTENSION"); } else { // Check if cl_amd_fp64 extension is supported if(!strstr(deviceInfo.extensions, "cl_amd_fp64")) { reqdExtSupport = false; OPENCL_EXPECTED_ERROR("Device does not support cl_amd_fp64 extension!"); } } /* * Create and initialize memory objects */ size_t temp = dims[0] * dims[1]; d_if0 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if0)"); status = clEnqueueWriteBuffer(commandQueue, d_if0, 1, 0, sizeof(cl_double) * temp, h_if0, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if0)"); d_if1234 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double4) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if1234)"); status = clEnqueueWriteBuffer(commandQueue, d_if1234, 1, 0, sizeof(cl_double4) * temp, h_if1234, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if1234)"); d_if5678 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double4) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if5678)"); status = clEnqueueWriteBuffer(commandQueue, d_if5678, 1, 0, sizeof(cl_double4) * temp, h_if5678, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if5678)"); d_of0 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of0)"); d_of1234 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double4) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of1234)"); d_of5678 = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_double4) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of5678)"); status = clEnqueueCopyBuffer(commandQueue, d_if0, d_of0, 0, 0, sizeof(cl_double) * temp, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if0->d_of0)"); status = clEnqueueCopyBuffer(commandQueue, d_if1234, d_of1234, 0, 0, sizeof(cl_double4) * temp, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if1234->d_of1234)"); status = clEnqueueCopyBuffer(commandQueue, d_if5678, d_of5678, 0, 0, sizeof(cl_double4) * temp, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if5678->d_of5678)"); status = clFinish(commandQueue); CHECK_OPENCL_ERROR(status, "clFinish failed."); // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; //Constant arrays type = clCreateBuffer(context, inMemFlags, sizeof(cl_bool) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (type)"); weight = clCreateBuffer(context, CL_MEM_READ_ONLY, sizeof(cl_double) * 9, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (weight)"); status = clEnqueueWriteBuffer(commandQueue, weight, 1, 0, sizeof(cl_double) * 9, w, 0, 0, 0); CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (weight)"); velocity = clCreateBuffer(context, CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR, sizeof(cl_double2) * temp, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (velocity)"); // create a CL program using the kernel source streamsdk::buildProgramData buildData; buildData.kernelName = std::string("FluidSimulation2D_Kernels.cl"); buildData.devices = devices; buildData.deviceId = deviceId; buildData.flagsStr = std::string(""); if(isLoadBinaryEnabled()) buildData.binaryName = std::string(loadBinary.c_str()); if(isComplierFlagsSpecified()) buildData.flagsFileName = std::string(flags.c_str()); retValue = sampleCommon->buildOpenCLProgram(program, context, buildData); CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed"); // get a kernel object handle for a kernel with the given name kernel = clCreateKernel( program, "lbm", &status); CHECK_OPENCL_ERROR(status, "clCreateKernel failed."); return SDK_SUCCESS; }
int Lucas::setupCL (void) { cl_int status = 0; cl_device_type dType; if (deviceType.compare ("cpu") == 0) dType = CL_DEVICE_TYPE_CPU; else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if (isThereGPU () == false) { std::cout << "GPU not found. Falling back to CPU device" << std:: endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ status = cl::Platform::get (&platforms); CHECK_OPENCL_ERROR (status, "Platform::get() failed."); std::vector < cl::Platform >::iterator i; if (platforms.size () > 0) { if (isPlatformEnabled ()) { i = platforms.begin () + platformId; } else { for (i = platforms.begin (); i != platforms.end (); ++i) { if (!strcmp ((*i).getInfo < CL_PLATFORM_VENDOR > ().c_str (), "Advanced Micro Devices, Inc.")) { break; } } } } cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties) (*i) (), 0 }; if (NULL == (*i) ()) { sampleCommon->error ("NULL platform found so Exiting Application."); return SDK_FAILURE; } context = cl::Context (dType, cps, NULL, NULL, &status); CHECK_OPENCL_ERROR (status, "Context::Context() failed."); devices = context.getInfo < CL_CONTEXT_DEVICES > (); CHECK_OPENCL_ERROR (status, "Context::getInfo() failed."); std::cout << "Platform :" << (*i).getInfo < CL_PLATFORM_VENDOR > ().c_str () << "\n"; int deviceCount = (int) devices.size (); int j = 0; for (std::vector < cl::Device >::iterator i = devices.begin (); i != devices.end (); ++i, ++j) { std::cout << "Device " << j << " : "; std::string deviceName = (*i).getInfo < CL_DEVICE_NAME > (); std::cout << deviceName.c_str () << "\n"; } std::cout << "\n"; if (deviceCount == 0) { std::cerr << "No device available\n"; return SDK_FAILURE; } if (sampleCommon->validateDeviceId (deviceId, deviceCount)) { sampleCommon->error ("sampleCommon::validateDeviceId() failed"); return SDK_FAILURE; } std::string extensions = devices[deviceId].getInfo < CL_DEVICE_EXTENSIONS > (); std::string buildOptions = std::string (""); // Check if cl_khr_fp64 extension is supported if (strstr (extensions.c_str (), "cl_khr_fp64")) { buildOptions.append ("-D KHR_DP_EXTENSION"); } else { // Check if cl_amd_fp64 extension is supported if (!strstr (extensions.c_str (), "cl_amd_fp64")) { OPENCL_EXPECTED_ERROR ("Device does not support cl_amd_fp64 extension!"); } } cl_uint localMemType; // Get device specific information status = devices[deviceId].getInfo<cl_uint>( CL_DEVICE_LOCAL_MEM_TYPE, &localMemType); CHECK_OPENCL_ERROR(status, "Device::getInfo CL_DEVICE_LOCAL_MEM_TYPE) failed."); // If scratchpad is available then update the flag if(localMemType != CL_LOCAL) OPENCL_EXPECTED_ERROR ("Device does not support local memory."); // Get Device specific Information status = devices[deviceId].getInfo<size_t>( CL_DEVICE_MAX_WORK_GROUP_SIZE, &maxWorkGroupSize); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed."); if(threads > maxWorkGroupSize) OPENCL_EXPECTED_ERROR ("Device does not support threads."); status = devices[deviceId].getInfo<cl_uint>( CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS, &maxDimensions); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed."); maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t)); std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>(); for(cl_uint i = 0; i < maxDimensions; ++i) maxWorkItemSizes[i] = workItems[i]; status = devices[deviceId].getInfo<cl_ulong>( CL_DEVICE_LOCAL_MEM_SIZE, &totalLocalMemory); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed."); // Set command queue properties cl_command_queue_properties prop = 0; if (!eAppGFLOPS) prop |= CL_QUEUE_PROFILING_ENABLE; commandQueue = cl::CommandQueue (context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR (status, "CommandQueue::CommandQueue() failed."); // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if (isAmdPlatform ()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; device.push_back (devices[deviceId]); // create a CL program using the kernel source streamsdk::SDKFile kernelFile; std::string kernelPath = sampleCommon->getPath (); kernelPath.append ("Kernels.cl"); if (!kernelFile.open (kernelPath.c_str ())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Sources programSource (1, std::make_pair (kernelFile. source ().data (), kernelFile. source ().size ())); program = cl::Program (context, programSource, &status); CHECK_OPENCL_ERROR (status, "Program::Program(Source) failed."); std::string flagsStr = std::string (""); status = program.build (device, flagsStr.c_str ()); if (status != CL_SUCCESS) { if (status == CL_BUILD_PROGRAM_FAILURE) { std::string str = program.getBuildInfo < CL_PROGRAM_BUILD_LOG > (devices[deviceId]); std::cout << " \n\t\t\tBUILD LOG\n"; std::cout << " ************************************************\n"; std::cout << str << std::endl; std::cout << " ************************************************\n"; } } CHECK_OPENCL_ERROR (status, "Program::build() failed."); // Create kernel // If local memory is present then use the specific kernel mul_kernel = cl::Kernel (program, "mul_Kernel", &status); CHECK_OPENCL_ERROR (status, "cl::Kernel failed."); status = mul_kernel.getWorkGroupInfo < cl_ulong > (devices[deviceId], CL_KERNEL_LOCAL_MEM_SIZE, &usedLocalMemory); CHECK_OPENCL_ERROR (status, "Kernel::getWorkGroupInfo(CL_KERNEL_LOCAL_MEM_SIZE) failed" ".(usedLocalMemory)"); // Create normalize_kernel // If local memory is present then use the specific kernel normalize_kernel = cl::Kernel (program, "normalize_Kernel", &status); CHECK_OPENCL_ERROR (status, "cl::Kernel failed."); // Create normalize2_kernel // If local memory is present then use the specific kernel normalize2_kernel = cl::Kernel (program, "normalize2_Kernel", &status); CHECK_OPENCL_ERROR (status, "cl::Kernel failed."); return SDK_SUCCESS; }
int BoxFilterSeparable::setupCL() { cl_int status = 0; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ cl_platform_id platform = NULL; int retValue = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled()); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed"); // Display available devices. retValue = sampleCommon->displayDevices(platform, dType); CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::displayDevices() failed"); // If we could find our platform, use it. Otherwise use just available platform. cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 }; context = clCreateContextFromType( cps, dType, NULL, NULL, &status); CHECK_OPENCL_ERROR( status, "clCreateContextFromType failed."); // getting device on which to run the sample status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled()); CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed"); { // The block is to move the declaration of prop closer to its use cl_command_queue_properties prop = 0; commandQueue = clCreateCommandQueue( context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR( status, "clCreateCommandQueue failed."); } //Set device info of given cl_device_id retValue = deviceInfo.setDeviceInfo(devices[deviceId]); CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed"); // Create and initialize memory objects // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; // Create memory object for input Image inputImageBuffer = clCreateBuffer( context, inMemFlags, width * height * pixelSize, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputImageBuffer)"); // Create memory object for temp Image tempImageBuffer = clCreateBuffer( context, CL_MEM_READ_WRITE, width * height * pixelSize, 0, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (tempImageBuffer)"); // Create memory objects for output Image outputImageBuffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY, width * height * pixelSize, NULL, &status); CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputImageBuffer)"); // create a CL program using the kernel source streamsdk::buildProgramData buildData; buildData.kernelName = std::string("BoxFilter_Kernels.cl"); buildData.devices = devices; buildData.deviceId = deviceId; buildData.flagsStr = std::string(""); if(isLoadBinaryEnabled()) buildData.binaryName = std::string(loadBinary.c_str()); if(isComplierFlagsSpecified()) buildData.flagsFileName = std::string(flags.c_str()); retValue = sampleCommon->buildOpenCLProgram(program, context, buildData); CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed"); // get a kernel object handle for a kernel with the given name verticalKernel = clCreateKernel(program, "box_filter_vertical", &status); CHECK_OPENCL_ERROR(status, "clCreateKernel failed. (vertical)"); #ifdef USE_LDS horizontalKernel = clCreateKernel(program, "box_filter_horizontal_local", &status); #else horizontalKernel = clCreateKernel(program, "box_filter_horizontal", &status); #endif CHECK_OPENCL_ERROR(status, "clCreateKernel failed. (horizontal)"); status = kernelInfoH.setKernelWorkGroupInfo(horizontalKernel, devices[deviceId]); CHECK_ERROR(status, SDK_SUCCESS, "setKErnelWorkGroupInfo() failed"); status = kernelInfoV.setKernelWorkGroupInfo(verticalKernel, devices[deviceId]); CHECK_ERROR(status, SDK_SUCCESS, "setKErnelWorkGroupInfo() failed"); if((blockSizeX * blockSizeY) > kernelInfoV.kernelWorkGroupSize) { if(!quiet) { std::cout << "Out of Resources!" << std::endl; std::cout << "Group Size specified : " << blockSizeX * blockSizeY << std::endl; std::cout << "Max Group Size supported on the kernel : " << kernelInfoV.kernelWorkGroupSize << std::endl; std::cout << "Falling back to " << kernelInfoV.kernelWorkGroupSize << std::endl; } // Three possible cases if(blockSizeX > kernelInfoV.kernelWorkGroupSize) { blockSizeX = kernelInfoV.kernelWorkGroupSize; blockSizeY = 1; } } return SDK_SUCCESS; }
int MatrixMulDouble::setupCL(void) { cl_int status = 0; cl_device_type dType; if(deviceType.compare("cpu") == 0) dType = CL_DEVICE_TYPE_CPU; else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ status = cl::Platform::get(&platforms); CHECK_OPENCL_ERROR(status, "Platform::get() failed."); std::vector<cl::Platform>::iterator i; if(platforms.size() > 0) { if(isPlatformEnabled()) { i = platforms.begin() + platformId; } else { for(i = platforms.begin(); i != platforms.end(); ++i) { if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(), "Advanced Micro Devices, Inc.")) { break; } } } } cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)(*i)(), 0 }; if(NULL == (*i)()) { sampleCommon->error("NULL platform found so Exiting Application."); return SDK_FAILURE; } context = cl::Context(dType, cps, NULL, NULL, &status); CHECK_OPENCL_ERROR(status, "Context::Context() failed."); devices = context.getInfo<CL_CONTEXT_DEVICES>(); CHECK_OPENCL_ERROR(status, "Context::getInfo() failed."); std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n"; int deviceCount = (int)devices.size(); int j = 0; for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j) { std::cout << "Device " << j << " : "; std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>(); std::cout << deviceName.c_str() << "\n"; } std::cout << "\n"; if (deviceCount == 0) { std::cerr << "No device available\n"; return SDK_FAILURE; } if(sampleCommon->validateDeviceId(deviceId, deviceCount)) { sampleCommon->error("sampleCommon::validateDeviceId() failed"); return SDK_FAILURE; } std::string extensions = devices[deviceId].getInfo<CL_DEVICE_EXTENSIONS>(); std::string buildOptions = std::string(""); // Check if cl_khr_fp64 extension is supported if(strstr(extensions.c_str(), "cl_khr_fp64")) { buildOptions.append("-D KHR_DP_EXTENSION"); } else { // Check if cl_amd_fp64 extension is supported if(!strstr(extensions.c_str(), "cl_amd_fp64")) { OPENCL_EXPECTED_ERROR("Device does not support cl_amd_fp64 extension!"); } } cl_uint localMemType; // Get device specific information status = devices[deviceId].getInfo<cl_uint>( CL_DEVICE_LOCAL_MEM_TYPE, &localMemType); CHECK_OPENCL_ERROR(status, "Device::getInfo CL_DEVICE_LOCAL_MEM_TYPE) failed."); // If scratchpad is available then update the flag if(localMemType == CL_LOCAL) lds = true; // Get Device specific Information status = devices[deviceId].getInfo<size_t>( CL_DEVICE_MAX_WORK_GROUP_SIZE, &maxWorkGroupSize); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed."); status = devices[deviceId].getInfo<cl_uint>( CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS, &maxDimensions); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed."); maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t)); std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>(); for(cl_uint i = 0; i < maxDimensions; ++i) maxWorkItemSizes[i] = workItems[i]; status = devices[deviceId].getInfo<cl_ulong>( CL_DEVICE_LOCAL_MEM_SIZE, &totalLocalMemory); CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed."); // Set command queue properties cl_command_queue_properties prop = 0; if(!eAppGFLOPS) prop |= CL_QUEUE_PROFILING_ENABLE; commandQueue = cl::CommandQueue(context, devices[deviceId], prop, &status); CHECK_OPENCL_ERROR(status, "CommandQueue::CommandQueue() failed."); // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; // Create buffer for matrix A inputBufA = cl::Buffer( context, inMemFlags, sizeof(cl_double) * widthA * heightA, NULL, &status); CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (inputBufA)"); // Create buffer for matrix B inputBufB = cl::Buffer( context, inMemFlags, sizeof(cl_double) * widthB * heightB, NULL, &status); CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (inputBufB)"); outputBuf = cl::Buffer( context, CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR, sizeof(cl_double) * heightA * widthB, NULL, &status); CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (outputBuf)"); device.push_back(devices[deviceId]); // create a CL program using the kernel source streamsdk::SDKFile kernelFile; std::string kernelPath = sampleCommon->getPath(); if(isLoadBinaryEnabled()) { kernelPath.append(loadBinary.c_str()); if(!kernelFile.readBinaryFromFile(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Binaries programBinary(1,std::make_pair( (const void*)kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, device, programBinary, NULL, &status); CHECK_OPENCL_ERROR(status, "Program::Program(Binary) failed."); } else { kernelPath.append("MatrixMulDouble_Kernels.cl"); if(!kernelFile.open(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Sources programSource( 1, std::make_pair(kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, programSource, &status); CHECK_OPENCL_ERROR(status, "Program::Program(Source) failed."); } std::string flagsStr = std::string(""); // Get build options if any flagsStr.append(buildOptions.c_str()); // Get additional options if(isComplierFlagsSpecified()) { streamsdk::SDKFile flagsFile; std::string flagsPath = sampleCommon->getPath(); flagsPath.append(flags.c_str()); if(!flagsFile.open(flagsPath.c_str())) { std::cout << "Failed to load flags file: " << flagsPath << std::endl; return SDK_FAILURE; } flagsFile.replaceNewlineWithSpaces(); const char * flags = flagsFile.source().c_str(); flagsStr.append(flags); } if(flagsStr.size() != 0) std::cout << "Build Options are : " << flagsStr.c_str() << std::endl; status = program.build(device, flagsStr.c_str()); if(status != CL_SUCCESS) { if(status == CL_BUILD_PROGRAM_FAILURE) { std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]); std::cout << " \n\t\t\tBUILD LOG\n"; std::cout << " ************************************************\n"; std::cout << str << std::endl; std::cout << " ************************************************\n"; } } CHECK_OPENCL_ERROR(status, "Program::build() failed."); // Create kernel // If local memory is present then use the specific kernel if(lds) kernel = cl::Kernel(program, "mmmKernel_local", &status); else kernel = cl::Kernel(program, "mmmKernel", &status); CHECK_OPENCL_ERROR(status, "cl::Kernel failed."); status = kernel.getWorkGroupInfo<cl_ulong>( devices[deviceId], CL_KERNEL_LOCAL_MEM_SIZE, &usedLocalMemory); CHECK_OPENCL_ERROR(status, "Kernel::getWorkGroupInfo(CL_KERNEL_LOCAL_MEM_SIZE) failed" ".(usedLocalMemory)"); availableLocalMemory = totalLocalMemory - usedLocalMemory; if(lds) neededLocalMemory = (blockSize * 4) * (blockSize * 4) * sizeof(cl_double); else neededLocalMemory = 0; if(neededLocalMemory > availableLocalMemory) { std::cout << "Unsupported: Insufficient local memory on device." << std::endl; return SDK_FAILURE; } // Check group size against group size returned by kernel kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &status); CHECK_OPENCL_ERROR(status, "Kernel::getWorkGroupInfo() failed."); if((cl_uint)(blockSize * blockSize) > kernelWorkGroupSize) { if(kernelWorkGroupSize >= 64) blockSize = 8; else if(kernelWorkGroupSize >= 32) blockSize = 4; else { std::cout << "Out of Resources!" << std::endl; std::cout << "Group Size specified : " << blockSize * blockSize << std::endl; std::cout << "Max Group Size supported on the kernel : " << kernelWorkGroupSize<<std::endl; return SDK_FAILURE; } } if(blockSize > maxWorkItemSizes[0] || blockSize > maxWorkItemSizes[1] || blockSize * blockSize > maxWorkGroupSize) { sampleCommon->error("Unsupported: Device does not support requested number of work items."); return SDK_FAILURE; } return SDK_SUCCESS; }
int GaussianNoise::setupCL() { cl_int err = CL_SUCCESS; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ err = cl::Platform::get(&platforms); CHECK_OPENCL_ERROR(err, "Platform::get() failed."); std::vector<cl::Platform>::iterator i; if(platforms.size() > 0) { if(isPlatformEnabled()) { i = platforms.begin() + platformId; } else { for(i = platforms.begin(); i != platforms.end(); ++i) { if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(), "Advanced Micro Devices, Inc.")) { break; } } } } cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)(*i)(), 0 }; context = cl::Context(dType, cps, NULL, NULL, &err); CHECK_OPENCL_ERROR(err, "Context::Context() failed."); devices = context.getInfo<CL_CONTEXT_DEVICES>(); CHECK_OPENCL_ERROR(err, "Context::getInfo() failed."); std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n"; int deviceCount = (int)devices.size(); int j = 0; for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j) { std::cout << "Device " << j << " : "; std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>(); std::cout << deviceName.c_str() << "\n"; } std::cout << "\n"; if (deviceCount == 0) { std::cerr << "No device available\n"; return SDK_FAILURE; } if(sampleCommon->validateDeviceId(deviceId, deviceCount)) { sampleCommon->error("sampleCommon::validateDeviceId() failed"); return SDK_FAILURE; } commandQueue = cl::CommandQueue(context, devices[deviceId], 0, &err); CHECK_OPENCL_ERROR(err, "CommandQueue::CommandQueue() failed."); /* * Create and initialize memory objects */ // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; // Create memory object for input Image inputImageBuffer = cl::Buffer(context, inMemFlags, width * height * pixelSize, 0, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)"); // Create memory object for output Image outputImageBuffer = cl::Buffer(context, CL_MEM_WRITE_ONLY, width * height * pixelSize, NULL, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)"); device.push_back(devices[deviceId]); // create a CL program using the kernel source streamsdk::SDKFile kernelFile; std::string kernelPath = sampleCommon->getPath(); if(isLoadBinaryEnabled()) { kernelPath.append(loadBinary.c_str()); if(!kernelFile.readBinaryFromFile(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Binaries programBinary(1,std::make_pair( (const void*)kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, device, programBinary, NULL, &err); CHECK_OPENCL_ERROR(err, "Program::Program(Binary) failed."); } else { kernelPath.append("GaussianNoise_Kernels.cl"); if(!kernelFile.open(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Sources programSource(1, std::make_pair(kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, programSource, &err); CHECK_OPENCL_ERROR(err, "Program::Program(Source) failed."); } std::string flagsStr = std::string(""); // Get additional options if(isComplierFlagsSpecified()) { streamsdk::SDKFile flagsFile; std::string flagsPath = sampleCommon->getPath(); flagsPath.append(flags.c_str()); if(!flagsFile.open(flagsPath.c_str())) { std::cout << "Failed to load flags file: " << flagsPath << std::endl; return SDK_FAILURE; } flagsFile.replaceNewlineWithSpaces(); const char * flags = flagsFile.source().c_str(); flagsStr.append(flags); } if(flagsStr.size() != 0) std::cout << "Build Options are : " << flagsStr.c_str() << std::endl; err = program.build(device, flagsStr.c_str()); if(err != CL_SUCCESS) { if(err == CL_BUILD_PROGRAM_FAILURE) { std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]); std::cout << " \n\t\t\tBUILD LOG\n"; std::cout << " ************************************************\n"; std::cout << str << std::endl; std::cout << " ************************************************\n"; } } CHECK_OPENCL_ERROR(err, "Program::build() failed."); // Create kernel kernel = cl::Kernel(program, "gaussian_transform", &err); CHECK_OPENCL_ERROR(err, "Kernel::Kernel() failed."); // Check group size against group size returned by kernel kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &err); CHECK_OPENCL_ERROR(err, "Kernel::getWorkGroupInfo() failed."); if((blockSizeX * blockSizeY) > kernelWorkGroupSize) { if(!quiet) { std::cout << "Out of Resources!" << std::endl; std::cout << "Group Size specified : " << blockSizeX * blockSizeY << std::endl; std::cout << "Max Group Size supported on the kernel : " << kernelWorkGroupSize << std::endl; std::cout << "Falling back to " << kernelWorkGroupSize << std::endl; } if(blockSizeX > kernelWorkGroupSize) { blockSizeX = kernelWorkGroupSize; blockSizeY = 1; } } return SDK_SUCCESS; }
int HDRToneMapping::setupCL() { cl_int err = CL_SUCCESS; cl_device_type dType; if(deviceType.compare("cpu") == 0) { dType = CL_DEVICE_TYPE_CPU; } else //deviceType = "gpu" { dType = CL_DEVICE_TYPE_GPU; if(isThereGPU() == false) { std::cout << "GPU not found. Falling back to CPU device" << std::endl; dType = CL_DEVICE_TYPE_CPU; } } /* * Have a look at the available platforms and pick either * the AMD one if available or a reasonable default. */ err = cl::Platform::get(&platforms); CHECK_OPENCL_ERROR(err, "Platform::get() failed."); std::vector<cl::Platform>::iterator i; if(platforms.size() > 0) { if(isPlatformEnabled()) { i = platforms.begin() + platformId; } else { for(i = platforms.begin(); i != platforms.end(); ++i) { if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(), "Advanced Micro Devices, Inc.")) { break; } } } } cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)(*i)(), 0 }; context = cl::Context(dType, cps, NULL, NULL, &err); CHECK_OPENCL_ERROR(err, "Context::Context() failed."); devices = context.getInfo<CL_CONTEXT_DEVICES>(); CHECK_OPENCL_ERROR(err, "Context::getInfo() failed."); std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n"; int deviceCount = (int)devices.size(); int j = 0; for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j) { std::cout << "Device " << j << " : "; std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>(); std::cout << deviceName.c_str() << "\n"; } std::cout << "\n"; if (deviceCount == 0) { std::cout << "No device available\n"; return SDK_FAILURE; } if(sampleCommon->validateDeviceId(deviceId, deviceCount) != SDK_SUCCESS) { std::cout << "sampleCommon::validateDeviceId() failed"; return SDK_FAILURE; } // Get Device specific Information err = devices[deviceId].getInfo<size_t>( CL_DEVICE_MAX_WORK_GROUP_SIZE, &maxWorkGroupSize); CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed."); err = devices[deviceId].getInfo<cl_uint>( CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS, &maxDimensions); CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed."); maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t)); std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>(); for(cl_uint i = 0; i < maxDimensions; ++i) maxWorkItemSizes[i] = workItems[i]; err = devices[deviceId].getInfo<cl_ulong>( CL_DEVICE_LOCAL_MEM_SIZE, &totalLocalMemory); CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed."); commandQueue = cl::CommandQueue(context, devices[deviceId], 0, &err); CHECK_OPENCL_ERROR(err, "CommandQueue::CommandQueue() failed."); /* * Create and initialize memory objects */ // Set Presistent memory only for AMD platform cl_mem_flags inMemFlags = CL_MEM_READ_ONLY; if(isAmdPlatform()) inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD; // Create memory object for input Image /** * We use CL_MEM_USE_HOST_PTR for CPU as the CPU device is running the kernel * on the actual buffer provided by the application */ if (dType == CL_DEVICE_TYPE_CPU) { inputImageBuffer = cl::Buffer(context, CL_MEM_USE_HOST_PTR | CL_MEM_READ_ONLY, width * height * numChannels * sizeof(cl_float), input, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)"); // Create memory object for output Image outputImageBuffer = cl::Buffer(context, CL_MEM_WRITE_ONLY | CL_MEM_USE_HOST_PTR, width * height * numChannels * sizeof(cl_float), output, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)"); } else if (dType == CL_DEVICE_TYPE_GPU) { inputImageBuffer = cl::Buffer(context, inMemFlags, width * height * numChannels * sizeof(cl_float), 0, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)"); // Create memory object for output Image outputImageBuffer = cl::Buffer(context, CL_MEM_WRITE_ONLY, width * height * numChannels * sizeof(cl_float), NULL, &err); CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)"); } device.push_back(devices[deviceId]); // create a CL program using the kernel source streamsdk::SDKFile kernelFile; std::string kernelPath = sampleCommon->getPath(); if(isLoadBinaryEnabled()) { kernelPath.append(loadBinary.c_str()); if(kernelFile.readBinaryFromFile(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Binaries programBinary(1,std::make_pair( (const void*)kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, device, programBinary, NULL, &err); CHECK_OPENCL_ERROR(err, "Program::Program(Binary) failed."); } else { kernelPath.append("HDRToneMapping_Kernels.cl"); if(!kernelFile.open(kernelPath.c_str())) { std::cout << "Failed to load kernel file : " << kernelPath << std::endl; return SDK_FAILURE; } cl::Program::Sources programSource(1, std::make_pair(kernelFile.source().data(), kernelFile.source().size())); program = cl::Program(context, programSource, &err); CHECK_OPENCL_ERROR(err, "Program::Program(Source) failed."); } std::string flagsStr = std::string(""); // Get additional options if(isComplierFlagsSpecified()) { streamsdk::SDKFile flagsFile; std::string flagsPath = sampleCommon->getPath(); flagsPath.append(flags.c_str()); if(!flagsFile.open(flagsPath.c_str())) { std::cout << "Failed to load flags file: " << flagsPath << std::endl; return SDK_FAILURE; } flagsFile.replaceNewlineWithSpaces(); const char * flags = flagsFile.source().c_str(); flagsStr.append(flags); } if(flagsStr.size() != 0) std::cout << "Build Options are : " << flagsStr.c_str() << std::endl; err = program.build(device, flagsStr.c_str()); if(err != CL_SUCCESS) { if(err == CL_BUILD_PROGRAM_FAILURE) { std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]); std::cout << " \n\t\t\tBUILD LOG\n"; std::cout << " ************************************************\n"; std::cout << str << std::endl; std::cout << " ************************************************\n"; } } CHECK_OPENCL_ERROR(err, "Program::build() failed."); // Create kernel kernel = cl::Kernel(program, "toneMappingPattanaik", &err); CHECK_OPENCL_ERROR(err, "Kernel::Kernel() failed."); // Check group size against group size returned by kernel kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &err); CHECK_OPENCL_ERROR(err, "Kernel::getWorkGroupInfo() failed."); /** * For CPU device the kernel work group size is 1024. * Workgroup creation/replacement is an overhead - * avoid workgroups with small number of workitems (we pay more for replacing a WG than running more WI in a for loop). */ if (kernelWorkGroupSize >= 1024) { blockSizeX = 32; blockSizeY = 32; } if((cl_uint)(blockSizeX * blockSizeY) > kernelWorkGroupSize) { if(kernelWorkGroupSize >= 64) { blockSizeX = 8; blockSizeY = 8; } else if(kernelWorkGroupSize >= 32) { blockSizeX = 4; blockSizeY = 4; } else { std::cout << "Out of Resources!" << std::endl; std::cout << "Group Size specified : " << blockSizeX * blockSizeY << std::endl; std::cout << "Max Group Size supported on the kernel : " << kernelWorkGroupSize<<std::endl; return SDK_FAILURE; } } if(blockSizeX > maxWorkItemSizes[0] || blockSizeY > maxWorkItemSizes[1] || blockSizeX * blockSizeY > maxWorkGroupSize) { std::cout << "Unsupported: Device does not support requested number of work items." << std::endl; return SDK_FAILURE; } return SDK_SUCCESS; }