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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *  * Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *  * Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in the
 *    documentation and/or other materials provided with the distribution.
 *  * Neither the name of NVIDIA CORPORATION nor the names of its
 *    contributors may be used to endorse or promote products derived
 *    from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
 * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
 * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
 * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
 * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
 * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
 * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

////////////////////////////////////////////////////////////////////////////////
// These are CUDA Helper functions for initialization and error checking

#ifndef COMMON_HELPER_CUDA_H_
#define COMMON_HELPER_CUDA_H_

#pragma once

#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#include "helper_string.h"

#ifndef EXIT_WAIVED
#define EXIT_WAIVED 2
#endif

// Note, it is required that your SDK sample to include the proper header
// files, please refer the CUDA examples for examples of the needed CUDA
// headers, which may change depending on which CUDA functions are used.

// CUDA Runtime error messages
#ifdef __DRIVER_TYPES_H__
static const char *_cudaGetErrorEnum(cudaError_t error) {
    return cudaGetErrorName(error);
}
#endif

#ifdef CUDA_DRIVER_API
// CUDA Driver API errors
static const char *_cudaGetErrorEnum(CUresult error) {
    static char unknown[] = "<unknown>";
    const char *ret = NULL;
    cuGetErrorName(error, &ret);
    return ret ? ret : unknown;
}
#endif

#ifdef CUBLAS_API_H_
// cuBLAS API errors
static const char *_cudaGetErrorEnum(cublasStatus_t error) {
    switch (error) {
        case CUBLAS_STATUS_SUCCESS:
            return "CUBLAS_STATUS_SUCCESS";

case CUBLAS_STATUS_NOT_INITIALIZED:
            return "CUBLAS_STATUS_NOT_INITIALIZED";

case CUBLAS_STATUS_ALLOC_FAILED:
            return "CUBLAS_STATUS_ALLOC_FAILED";

case CUBLAS_STATUS_INVALID_VALUE:
            return "CUBLAS_STATUS_INVALID_VALUE";

case CUBLAS_STATUS_ARCH_MISMATCH:
            return "CUBLAS_STATUS_ARCH_MISMATCH";

case CUBLAS_STATUS_MAPPING_ERROR:
            return "CUBLAS_STATUS_MAPPING_ERROR";

case CUBLAS_STATUS_EXECUTION_FAILED:
            return "CUBLAS_STATUS_EXECUTION_FAILED";

case CUBLAS_STATUS_INTERNAL_ERROR:
            return "CUBLAS_STATUS_INTERNAL_ERROR";

case CUBLAS_STATUS_NOT_SUPPORTED:
            return "CUBLAS_STATUS_NOT_SUPPORTED";

case CUBLAS_STATUS_LICENSE_ERROR:
            return "CUBLAS_STATUS_LICENSE_ERROR";
    }

return "<unknown>";
}
#endif

#ifdef _CUFFT_H_
// cuFFT API errors
static const char *_cudaGetErrorEnum(cufftResult error) {
    switch (error) {
        case CUFFT_SUCCESS:
            return "CUFFT_SUCCESS";

case CUFFT_INVALID_PLAN:
            return "CUFFT_INVALID_PLAN";

case CUFFT_ALLOC_FAILED:
            return "CUFFT_ALLOC_FAILED";

case CUFFT_INVALID_TYPE:
            return "CUFFT_INVALID_TYPE";

case CUFFT_INVALID_VALUE:
            return "CUFFT_INVALID_VALUE";

case CUFFT_INTERNAL_ERROR:
            return "CUFFT_INTERNAL_ERROR";

case CUFFT_EXEC_FAILED:
            return "CUFFT_EXEC_FAILED";

case CUFFT_SETUP_FAILED:
            return "CUFFT_SETUP_FAILED";

case CUFFT_INVALID_SIZE:
            return "CUFFT_INVALID_SIZE";

case CUFFT_UNALIGNED_DATA:
            return "CUFFT_UNALIGNED_DATA";

case CUFFT_INCOMPLETE_PARAMETER_LIST:
            return "CUFFT_INCOMPLETE_PARAMETER_LIST";

case CUFFT_INVALID_DEVICE:
            return "CUFFT_INVALID_DEVICE";

case CUFFT_PARSE_ERROR:
            return "CUFFT_PARSE_ERROR";

case CUFFT_NO_WORKSPACE:
            return "CUFFT_NO_WORKSPACE";

case CUFFT_NOT_IMPLEMENTED:
            return "CUFFT_NOT_IMPLEMENTED";

case CUFFT_LICENSE_ERROR:
            return "CUFFT_LICENSE_ERROR";

case CUFFT_NOT_SUPPORTED:
            return "CUFFT_NOT_SUPPORTED";
    }

return "<unknown>";
}
#endif

#ifdef CUSPARSEAPI
// cuSPARSE API errors
static const char *_cudaGetErrorEnum(cusparseStatus_t error) {
    switch (error) {
        case CUSPARSE_STATUS_SUCCESS:
            return "CUSPARSE_STATUS_SUCCESS";

case CUSPARSE_STATUS_NOT_INITIALIZED:
            return "CUSPARSE_STATUS_NOT_INITIALIZED";

case CUSPARSE_STATUS_ALLOC_FAILED:
            return "CUSPARSE_STATUS_ALLOC_FAILED";

case CUSPARSE_STATUS_INVALID_VALUE:
            return "CUSPARSE_STATUS_INVALID_VALUE";

case CUSPARSE_STATUS_ARCH_MISMATCH:
            return "CUSPARSE_STATUS_ARCH_MISMATCH";

case CUSPARSE_STATUS_MAPPING_ERROR:
            return "CUSPARSE_STATUS_MAPPING_ERROR";

case CUSPARSE_STATUS_EXECUTION_FAILED:
            return "CUSPARSE_STATUS_EXECUTION_FAILED";

case CUSPARSE_STATUS_INTERNAL_ERROR:
            return "CUSPARSE_STATUS_INTERNAL_ERROR";

case CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED:
            return "CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED";
    }

return "<unknown>";
}
#endif

#ifdef CUSOLVER_COMMON_H_
// cuSOLVER API errors
static const char *_cudaGetErrorEnum(cusolverStatus_t error) {
    switch (error) {
        case CUSOLVER_STATUS_SUCCESS:
            return "CUSOLVER_STATUS_SUCCESS";
        case CUSOLVER_STATUS_NOT_INITIALIZED:
            return "CUSOLVER_STATUS_NOT_INITIALIZED";
        case CUSOLVER_STATUS_ALLOC_FAILED:
            return "CUSOLVER_STATUS_ALLOC_FAILED";
        case CUSOLVER_STATUS_INVALID_VALUE:
            return "CUSOLVER_STATUS_INVALID_VALUE";
        case CUSOLVER_STATUS_ARCH_MISMATCH:
            return "CUSOLVER_STATUS_ARCH_MISMATCH";
        case CUSOLVER_STATUS_MAPPING_ERROR:
            return "CUSOLVER_STATUS_MAPPING_ERROR";
        case CUSOLVER_STATUS_EXECUTION_FAILED:
            return "CUSOLVER_STATUS_EXECUTION_FAILED";
        case CUSOLVER_STATUS_INTERNAL_ERROR:
            return "CUSOLVER_STATUS_INTERNAL_ERROR";
        case CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED:
            return "CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED";
        case CUSOLVER_STATUS_NOT_SUPPORTED:
            return "CUSOLVER_STATUS_NOT_SUPPORTED ";
        case CUSOLVER_STATUS_ZERO_PIVOT:
            return "CUSOLVER_STATUS_ZERO_PIVOT";
        case CUSOLVER_STATUS_INVALID_LICENSE:
            return "CUSOLVER_STATUS_INVALID_LICENSE";
    }

return "<unknown>";
}
#endif

#ifdef CURAND_H_
// cuRAND API errors
static const char *_cudaGetErrorEnum(curandStatus_t error) {
    switch (error) {
        case CURAND_STATUS_SUCCESS:
            return "CURAND_STATUS_SUCCESS";

case CURAND_STATUS_VERSION_MISMATCH:
            return "CURAND_STATUS_VERSION_MISMATCH";

case CURAND_STATUS_NOT_INITIALIZED:
            return "CURAND_STATUS_NOT_INITIALIZED";

case CURAND_STATUS_ALLOCATION_FAILED:
            return "CURAND_STATUS_ALLOCATION_FAILED";

case CURAND_STATUS_TYPE_ERROR:
            return "CURAND_STATUS_TYPE_ERROR";

case CURAND_STATUS_OUT_OF_RANGE:
            return "CURAND_STATUS_OUT_OF_RANGE";

case CURAND_STATUS_LENGTH_NOT_MULTIPLE:
            return "CURAND_STATUS_LENGTH_NOT_MULTIPLE";

case CURAND_STATUS_DOUBLE_PRECISION_REQUIRED:
            return "CURAND_STATUS_DOUBLE_PRECISION_REQUIRED";

case CURAND_STATUS_LAUNCH_FAILURE:
            return "CURAND_STATUS_LAUNCH_FAILURE";

case CURAND_STATUS_PREEXISTING_FAILURE:
            return "CURAND_STATUS_PREEXISTING_FAILURE";

case CURAND_STATUS_INITIALIZATION_FAILED:
            return "CURAND_STATUS_INITIALIZATION_FAILED";

case CURAND_STATUS_ARCH_MISMATCH:
            return "CURAND_STATUS_ARCH_MISMATCH";

case CURAND_STATUS_INTERNAL_ERROR:
            return "CURAND_STATUS_INTERNAL_ERROR";
    }

return "<unknown>";
}
#endif

#ifdef NVJPEGAPI
// nvJPEG API errors
static const char *_cudaGetErrorEnum(nvjpegStatus_t error) {
    switch (error) {
        case NVJPEG_STATUS_SUCCESS:
            return "NVJPEG_STATUS_SUCCESS";

case NVJPEG_STATUS_NOT_INITIALIZED:
            return "NVJPEG_STATUS_NOT_INITIALIZED";

case NVJPEG_STATUS_INVALID_PARAMETER:
            return "NVJPEG_STATUS_INVALID_PARAMETER";

case NVJPEG_STATUS_BAD_JPEG:
            return "NVJPEG_STATUS_BAD_JPEG";

case NVJPEG_STATUS_JPEG_NOT_SUPPORTED:
            return "NVJPEG_STATUS_JPEG_NOT_SUPPORTED";

case NVJPEG_STATUS_ALLOCATOR_FAILURE:
            return "NVJPEG_STATUS_ALLOCATOR_FAILURE";

case NVJPEG_STATUS_EXECUTION_FAILED:
            return "NVJPEG_STATUS_EXECUTION_FAILED";

case NVJPEG_STATUS_ARCH_MISMATCH:
            return "NVJPEG_STATUS_ARCH_MISMATCH";

case NVJPEG_STATUS_INTERNAL_ERROR:
            return "NVJPEG_STATUS_INTERNAL_ERROR";
    }

return "<unknown>";
}
#endif

#ifdef NV_NPPIDEFS_H
// NPP API errors
static const char *_cudaGetErrorEnum(NppStatus error) {
    switch (error) {
        case NPP_NOT_SUPPORTED_MODE_ERROR:
            return "NPP_NOT_SUPPORTED_MODE_ERROR";

case NPP_ROUND_MODE_NOT_SUPPORTED_ERROR:
            return "NPP_ROUND_MODE_NOT_SUPPORTED_ERROR";

case NPP_RESIZE_NO_OPERATION_ERROR:
            return "NPP_RESIZE_NO_OPERATION_ERROR";

case NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY:
            return "NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY";

#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) <= 0x5000

case NPP_BAD_ARG_ERROR:
            return "NPP_BAD_ARGUMENT_ERROR";

case NPP_COEFF_ERROR:
            return "NPP_COEFFICIENT_ERROR";

case NPP_RECT_ERROR:
            return "NPP_RECTANGLE_ERROR";

case NPP_QUAD_ERROR:
            return "NPP_QUADRANGLE_ERROR";

case NPP_MEM_ALLOC_ERR:
            return "NPP_MEMORY_ALLOCATION_ERROR";

case NPP_HISTO_NUMBER_OF_LEVELS_ERROR:
            return "NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR";

case NPP_INVALID_INPUT:
            return "NPP_INVALID_INPUT";

case NPP_POINTER_ERROR:
            return "NPP_POINTER_ERROR";

case NPP_WARNING:
            return "NPP_WARNING";

case NPP_ODD_ROI_WARNING:
            return "NPP_ODD_ROI_WARNING";
#else

// These are for CUDA 5.5 or higher
        case NPP_BAD_ARGUMENT_ERROR:
            return "NPP_BAD_ARGUMENT_ERROR";

case NPP_COEFFICIENT_ERROR:
            return "NPP_COEFFICIENT_ERROR";

case NPP_RECTANGLE_ERROR:
            return "NPP_RECTANGLE_ERROR";

case NPP_QUADRANGLE_ERROR:
            return "NPP_QUADRANGLE_ERROR";

case NPP_MEMORY_ALLOCATION_ERR:
            return "NPP_MEMORY_ALLOCATION_ERROR";

case NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR:
            return "NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR";

case NPP_INVALID_HOST_POINTER_ERROR:
            return "NPP_INVALID_HOST_POINTER_ERROR";

case NPP_INVALID_DEVICE_POINTER_ERROR:
            return "NPP_INVALID_DEVICE_POINTER_ERROR";
#endif

case NPP_LUT_NUMBER_OF_LEVELS_ERROR:
            return "NPP_LUT_NUMBER_OF_LEVELS_ERROR";

case NPP_TEXTURE_BIND_ERROR:
            return "NPP_TEXTURE_BIND_ERROR";

case NPP_WRONG_INTERSECTION_ROI_ERROR:
            return "NPP_WRONG_INTERSECTION_ROI_ERROR";

case NPP_NOT_EVEN_STEP_ERROR:
            return "NPP_NOT_EVEN_STEP_ERROR";

case NPP_INTERPOLATION_ERROR:
            return "NPP_INTERPOLATION_ERROR";

case NPP_RESIZE_FACTOR_ERROR:
            return "NPP_RESIZE_FACTOR_ERROR";

case NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR:
            return "NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR";

#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) <= 0x5000

case NPP_MEMFREE_ERR:
            return "NPP_MEMFREE_ERR";

case NPP_MEMSET_ERR:
            return "NPP_MEMSET_ERR";

case NPP_MEMCPY_ERR:
            return "NPP_MEMCPY_ERROR";

case NPP_MIRROR_FLIP_ERR:
            return "NPP_MIRROR_FLIP_ERR";
#else

case NPP_MEMFREE_ERROR:
            return "NPP_MEMFREE_ERROR";

case NPP_MEMSET_ERROR:
            return "NPP_MEMSET_ERROR";

case NPP_MEMCPY_ERROR:
            return "NPP_MEMCPY_ERROR";

case NPP_MIRROR_FLIP_ERROR:
            return "NPP_MIRROR_FLIP_ERROR";
#endif

case NPP_ALIGNMENT_ERROR:
            return "NPP_ALIGNMENT_ERROR";

case NPP_STEP_ERROR:
            return "NPP_STEP_ERROR";

case NPP_SIZE_ERROR:
            return "NPP_SIZE_ERROR";

case NPP_NULL_POINTER_ERROR:
            return "NPP_NULL_POINTER_ERROR";

case NPP_CUDA_KERNEL_EXECUTION_ERROR:
            return "NPP_CUDA_KERNEL_EXECUTION_ERROR";

case NPP_NOT_IMPLEMENTED_ERROR:
            return "NPP_NOT_IMPLEMENTED_ERROR";

case NPP_ERROR:
            return "NPP_ERROR";

case NPP_SUCCESS:
            return "NPP_SUCCESS";

case NPP_WRONG_INTERSECTION_QUAD_WARNING:
            return "NPP_WRONG_INTERSECTION_QUAD_WARNING";

case NPP_MISALIGNED_DST_ROI_WARNING:
            return "NPP_MISALIGNED_DST_ROI_WARNING";

case NPP_AFFINE_QUAD_INCORRECT_WARNING:
            return "NPP_AFFINE_QUAD_INCORRECT_WARNING";

case NPP_DOUBLE_SIZE_WARNING:
            return "NPP_DOUBLE_SIZE_WARNING";

case NPP_WRONG_INTERSECTION_ROI_WARNING:
            return "NPP_WRONG_INTERSECTION_ROI_WARNING";

#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) >= 0x6000
        /* These are 6.0 or higher */
        case NPP_LUT_PALETTE_BITSIZE_ERROR:
            return "NPP_LUT_PALETTE_BITSIZE_ERROR";

case NPP_ZC_MODE_NOT_SUPPORTED_ERROR:
            return "NPP_ZC_MODE_NOT_SUPPORTED_ERROR";

case NPP_QUALITY_INDEX_ERROR:
            return "NPP_QUALITY_INDEX_ERROR";

case NPP_CHANNEL_ORDER_ERROR:
            return "NPP_CHANNEL_ORDER_ERROR";

case NPP_ZERO_MASK_VALUE_ERROR:
            return "NPP_ZERO_MASK_VALUE_ERROR";

case NPP_NUMBER_OF_CHANNELS_ERROR:
            return "NPP_NUMBER_OF_CHANNELS_ERROR";

case NPP_COI_ERROR:
            return "NPP_COI_ERROR";

case NPP_DIVISOR_ERROR:
            return "NPP_DIVISOR_ERROR";

case NPP_CHANNEL_ERROR:
            return "NPP_CHANNEL_ERROR";

case NPP_STRIDE_ERROR:
            return "NPP_STRIDE_ERROR";

case NPP_ANCHOR_ERROR:
            return "NPP_ANCHOR_ERROR";

case NPP_MASK_SIZE_ERROR:
            return "NPP_MASK_SIZE_ERROR";

case NPP_MOMENT_00_ZERO_ERROR:
            return "NPP_MOMENT_00_ZERO_ERROR";

case NPP_THRESHOLD_NEGATIVE_LEVEL_ERROR:
            return "NPP_THRESHOLD_NEGATIVE_LEVEL_ERROR";

case NPP_THRESHOLD_ERROR:
            return "NPP_THRESHOLD_ERROR";

case NPP_CONTEXT_MATCH_ERROR:
            return "NPP_CONTEXT_MATCH_ERROR";

case NPP_FFT_FLAG_ERROR:
            return "NPP_FFT_FLAG_ERROR";

case NPP_FFT_ORDER_ERROR:
            return "NPP_FFT_ORDER_ERROR";

case NPP_SCALE_RANGE_ERROR:
            return "NPP_SCALE_RANGE_ERROR";

case NPP_DATA_TYPE_ERROR:
            return "NPP_DATA_TYPE_ERROR";

case NPP_OUT_OFF_RANGE_ERROR:
            return "NPP_OUT_OFF_RANGE_ERROR";

case NPP_DIVIDE_BY_ZERO_ERROR:
            return "NPP_DIVIDE_BY_ZERO_ERROR";

case NPP_RANGE_ERROR:
            return "NPP_RANGE_ERROR";

case NPP_NO_MEMORY_ERROR:
            return "NPP_NO_MEMORY_ERROR";

case NPP_ERROR_RESERVED:
            return "NPP_ERROR_RESERVED";

case NPP_NO_OPERATION_WARNING:
            return "NPP_NO_OPERATION_WARNING";

case NPP_DIVIDE_BY_ZERO_WARNING:
            return "NPP_DIVIDE_BY_ZERO_WARNING";
#endif

#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) >= 0x7000
        /* These are 7.0 or higher */
        case NPP_OVERFLOW_ERROR:
            return "NPP_OVERFLOW_ERROR";

case NPP_CORRUPTED_DATA_ERROR:
            return "NPP_CORRUPTED_DATA_ERROR";
#endif
    }

return "<unknown>";
}
#endif

template <typename T>
void check(T result, char const *const func, const char *const file,
           int const line) {
    if (result) {
        fprintf(stderr, "CUDA error at %s:%d code=%d(%s) \"%s\" \n", file, line,
                static_cast<unsigned int>(result), _cudaGetErrorEnum(result),
                func);
        exit(EXIT_FAILURE);
    }
}

#ifdef __DRIVER_TYPES_H__
// This will output the proper CUDA error strings in the event
// that a CUDA host call returns an error
#define checkCudaErrors(val) check((val), #val, __FILE__, __LINE__)

// This will output the proper error string when calling cudaGetLastError
#define getLastCudaError(msg) __getLastCudaError(msg, __FILE__, __LINE__)

inline void __getLastCudaError(const char *errorMessage, const char *file,
                               const int line) {
    cudaError_t err = cudaGetLastError();

if (cudaSuccess != err) {
        fprintf(stderr,
                "%s(%i) : getLastCudaError() CUDA error :"
                " %s : (%d) %s.\n",
                file, line, errorMessage, static_cast<int>(err),
                cudaGetErrorString(err));
        exit(EXIT_FAILURE);
    }
}

// This will only print the proper error string when calling cudaGetLastError
// but not exit program incase error detected.
#define printLastCudaError(msg) __printLastCudaError(msg, __FILE__, __LINE__)

inline void __printLastCudaError(const char *errorMessage, const char *file,
                                 const int line) {
    cudaError_t err = cudaGetLastError();

#ifndef MAX
#define MAX(a, b) (a > b ? a : b)
#endif

// Float To Int conversion
inline int ftoi(float value) {
    return (value >= 0 ? static_cast<int>(value + 0.5)
                       : static_cast<int>(value - 0.5));
}

// Beginning of GPU Architecture definitions
inline int _ConvertSMVer2Cores(int major, int minor) {
    // Defines for GPU Architecture types (using the SM version to determine
    // the # of cores per SM
    typedef struct {
        int SM;  // 0xMm (hexidecimal notation), M = SM Major version,
        // and m = SM minor version
        int Cores;
    } sSMtoCores;

sSMtoCores nGpuArchCoresPerSM[] = {
        {0x30, 192}, {0x32, 192}, {0x35, 192}, {0x37, 192}, {0x50, 128},
        {0x52, 128}, {0x53, 128}, {0x60, 64},  {0x61, 128}, {0x62, 128},
        {0x70, 64},  {0x72, 64},  {0x75, 64},  {0x80, 64},  {0x86, 128},
        {0x87, 128}, {0x90, 128}, {-1, -1}};

int index = 0;

while (nGpuArchCoresPerSM[index].SM != -1) {
        if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor)) {
            return nGpuArchCoresPerSM[index].Cores;
        }

index++;
    }

// If we don't find the values, we default use the previous one
    // to run properly
    printf(
        "MapSMtoCores for SM %d.%d is undefined."
        "  Default to use %d Cores/SM\n",
        major, minor, nGpuArchCoresPerSM[index - 1].Cores);
    return nGpuArchCoresPerSM[index - 1].Cores;
}

inline const char *_ConvertSMVer2ArchName(int major, int minor) {
    // Defines for GPU Architecture types (using the SM version to determine
    // the GPU Arch name)
    typedef struct {
        int SM;  // 0xMm (hexidecimal notation), M = SM Major version,
        // and m = SM minor version
        const char *name;
    } sSMtoArchName;

sSMtoArchName nGpuArchNameSM[] = {
        {0x30, "Kepler"},  {0x32, "Kepler"},  {0x35, "Kepler"},
        {0x37, "Kepler"},  {0x50, "Maxwell"}, {0x52, "Maxwell"},
        {0x53, "Maxwell"}, {0x60, "Pascal"},  {0x61, "Pascal"},
        {0x62, "Pascal"},  {0x70, "Volta"},   {0x72, "Xavier"},
        {0x75, "Turing"},  {0x80, "Ampere"},  {0x86, "Ampere"},
        {0x87, "Ampere"},  {0x90, "Hopper"},  {-1, "Graphics Device"}};

int index = 0;

while (nGpuArchNameSM[index].SM != -1) {
        if (nGpuArchNameSM[index].SM == ((major << 4) + minor)) {
            return nGpuArchNameSM[index].name;
        }

index++;
    }

// If we don't find the values, we default use the previous one
    // to run properly
    printf(
        "MapSMtoArchName for SM %d.%d is undefined."
        "  Default to use %s\n",
        major, minor, nGpuArchNameSM[index - 1].name);
    return nGpuArchNameSM[index - 1].name;
}
// end of GPU Architecture definitions

#ifdef __CUDA_RUNTIME_H__
// General GPU Device CUDA Initialization
inline int gpuDeviceInit(int devID) {
    int device_count;
    checkCudaErrors(cudaGetDeviceCount(&device_count));

if (device_count == 0) {
        fprintf(stderr,
                "gpuDeviceInit() CUDA error: "
                "no devices supporting CUDA.\n");
        exit(EXIT_FAILURE);
    }

if (devID < 0) {
        devID = 0;
    }

if (devID > device_count - 1) {
        fprintf(stderr, "\n");
        fprintf(stderr, ">> %d CUDA capable GPU device(s) detected. <<\n",
                device_count);
        fprintf(stderr,
                ">> gpuDeviceInit (-device=%d) is not a valid"
                " GPU device. <<\n",
                devID);
        fprintf(stderr, "\n");
        return -devID;
    }

int computeMode = -1, major = 0, minor = 0;
    checkCudaErrors(
        cudaDeviceGetAttribute(&computeMode, cudaDevAttrComputeMode, devID));
    checkCudaErrors(cudaDeviceGetAttribute(
        &major, cudaDevAttrComputeCapabilityMajor, devID));
    checkCudaErrors(cudaDeviceGetAttribute(
        &minor, cudaDevAttrComputeCapabilityMinor, devID));
    if (computeMode == cudaComputeModeProhibited) {
        fprintf(stderr,
                "Error: device is running in <Compute Mode "
                "Prohibited>, no threads can use cudaSetDevice().\n");
        return -1;
    }

if (major < 1) {
        fprintf(stderr, "gpuDeviceInit(): GPU device does not support CUDA.\n");
        exit(EXIT_FAILURE);
    }

checkCudaErrors(cudaSetDevice(devID));
    printf("gpuDeviceInit() CUDA Device [%d]: \"%s\n", devID,
           _ConvertSMVer2ArchName(major, minor));

return devID;
}

// This function returns the best GPU (with maximum GFLOPS)
inline int gpuGetMaxGflopsDeviceId() {
    int current_device = 0, sm_per_multiproc = 0;
    int max_perf_device = 0;
    int device_count = 0;
    int devices_prohibited = 0;

uint64_t max_compute_perf = 0;
    checkCudaErrors(cudaGetDeviceCount(&device_count));

if (device_count == 0) {
        fprintf(stderr,
                "gpuGetMaxGflopsDeviceId() CUDA error:"
                " no devices supporting CUDA.\n");
        exit(EXIT_FAILURE);
    }

// Find the best CUDA capable GPU device
    current_device = 0;

while (current_device < device_count) {
        int computeMode = -1, major = 0, minor = 0;
        checkCudaErrors(cudaDeviceGetAttribute(
            &computeMode, cudaDevAttrComputeMode, current_device));
        checkCudaErrors(cudaDeviceGetAttribute(
            &major, cudaDevAttrComputeCapabilityMajor, current_device));
        checkCudaErrors(cudaDeviceGetAttribute(
            &minor, cudaDevAttrComputeCapabilityMinor, current_device));

// If this GPU is not running on Compute Mode prohibited,
        // then we can add it to the list
        if (computeMode != cudaComputeModeProhibited) {
            if (major == 9999 && minor == 9999) {
                sm_per_multiproc = 1;
            } else {
                sm_per_multiproc = _ConvertSMVer2Cores(major, minor);
            }
            int multiProcessorCount = 0, clockRate = 0;
            checkCudaErrors(cudaDeviceGetAttribute(
                &multiProcessorCount, cudaDevAttrMultiProcessorCount,
                current_device));
            cudaError_t result = cudaDeviceGetAttribute(
                &clockRate, cudaDevAttrClockRate, current_device);
            if (result != cudaSuccess) {
                // If cudaDevAttrClockRate attribute is not supported we
                // set clockRate as 1, to consider GPU with most SMs and CUDA
                // Cores.
                if (result == cudaErrorInvalidValue) {
                    clockRate = 1;
                } else {
                    fprintf(stderr, "CUDA error at %s:%d code=%d(%s) \n",
                            __FILE__, __LINE__,
                            static_cast<unsigned int>(result),
                            _cudaGetErrorEnum(result));
                    exit(EXIT_FAILURE);
                }
            }
            uint64_t compute_perf =
                (uint64_t)multiProcessorCount * sm_per_multiproc * clockRate;

if (compute_perf > max_compute_perf) {
                max_compute_perf = compute_perf;
                max_perf_device = current_device;
            }
        } else {
            devices_prohibited++;
        }

++current_device;
    }

if (devices_prohibited == device_count) {
        fprintf(stderr,
                "gpuGetMaxGflopsDeviceId() CUDA error:"
                " all devices have compute mode prohibited.\n");
        exit(EXIT_FAILURE);
    }

return max_perf_device;
}

// Initialization code to find the best CUDA Device
inline int findCudaDevice(int argc, const char **argv) {
    int devID = 0;

// If the command-line has a device number specified, use it
    if (checkCmdLineFlag(argc, argv, "device")) {
        devID = getCmdLineArgumentInt(argc, argv, "device=");

if (devID < 0) {
            printf("Invalid command line parameter\n ");
            exit(EXIT_FAILURE);
        } else {
            devID = gpuDeviceInit(devID);

if (devID < 0) {
                printf("exiting...\n");
                exit(EXIT_FAILURE);
            }
        }
    } else {
        // Otherwise pick the device with highest Gflops/s
        devID = gpuGetMaxGflopsDeviceId();
        checkCudaErrors(cudaSetDevice(devID));
        int major = 0, minor = 0;
        checkCudaErrors(cudaDeviceGetAttribute(
            &major, cudaDevAttrComputeCapabilityMajor, devID));
        checkCudaErrors(cudaDeviceGetAttribute(
            &minor, cudaDevAttrComputeCapabilityMinor, devID));
        printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n", devID,
               _ConvertSMVer2ArchName(major, minor), major, minor);
    }

return devID;
}

inline int findIntegratedGPU() {
    int current_device = 0;
    int device_count = 0;
    int devices_prohibited = 0;

checkCudaErrors(cudaGetDeviceCount(&device_count));

if (device_count == 0) {
        fprintf(stderr, "CUDA error: no devices supporting CUDA.\n");
        exit(EXIT_FAILURE);
    }

// Find the integrated GPU which is compute capable
    while (current_device < device_count) {
        int computeMode = -1, integrated = -1;
        checkCudaErrors(cudaDeviceGetAttribute(
            &computeMode, cudaDevAttrComputeMode, current_device));
        checkCudaErrors(cudaDeviceGetAttribute(
            &integrated, cudaDevAttrIntegrated, current_device));
        // If GPU is integrated and is not running on Compute Mode prohibited,
        // then cuda can map to GLES resource
        if (integrated && (computeMode != cudaComputeModeProhibited)) {
            checkCudaErrors(cudaSetDevice(current_device));

int major = 0, minor = 0;
            checkCudaErrors(cudaDeviceGetAttribute(
                &major, cudaDevAttrComputeCapabilityMajor, current_device));
            checkCudaErrors(cudaDeviceGetAttribute(
                &minor, cudaDevAttrComputeCapabilityMinor, current_device));
            printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n",
                   current_device, _ConvertSMVer2ArchName(major, minor), major,
                   minor);

return current_device;
        } else {
            devices_prohibited++;
        }

current_device++;
    }

if (devices_prohibited == device_count) {
        fprintf(stderr,
                "CUDA error:"
                " No GLES-CUDA Interop capable GPU found.\n");
        exit(EXIT_FAILURE);
    }

return -1;
}

// General check for CUDA GPU SM Capabilities
inline bool checkCudaCapabilities(int major_version, int minor_version) {
    int dev;
    int major = 0, minor = 0;

checkCudaErrors(cudaGetDevice(&dev));
    checkCudaErrors(
        cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, dev));
    checkCudaErrors(
        cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, dev));

if ((major > major_version) ||
        (major == major_version && minor >= minor_version)) {
        printf("  Device %d: <%16s >, Compute SM %d.%d detected\n", dev,
               _ConvertSMVer2ArchName(major, minor), major, minor);
        return true;
    } else {
        printf(
            "  No GPU device was found that can support "
            "CUDA compute capability %d.%d.\n",
            major_version, minor_version);
        return false;
    }
}
#endif

// end of CUDA Helper Functions

#endif  // COMMON_HELPER_CUDA_H_