#pragma warning(disable:4819)

/*
 * Copyright 1993-2015 NVIDIA Corporation.  All rights reserved.
 *
 * Please refer to the NVIDIA end user license agreement (EULA) associated
 * with this source code for terms and conditions that govern your use of
 * this software. Any use, reproduction, disclosure, or distribution of
 * this software and related documentation outside the terms of the EULA
 * is strictly prohibited.
 *
 */

/*
    Recursive Gaussian filter
    sgreen 8/1/08

    This code sample implements a Gaussian blur using Deriche's recursive method:
    http://citeseer.ist.psu.edu/deriche93recursively.html

    This is similar to the box filter sample in the SDK, but it uses the previous
    outputs of the filter as well as the previous inputs. This is also known as an
    IIR (infinite impulse response) filter, since its response to an input impulse
    can last forever.

    The main advantage of this method is that the execution time is independent of
    the filter width.

    The GPU processes columns of the image in parallel. To avoid uncoalesced reads
    for the row pass we transpose the image and then transpose it back again
    afterwards.

    The implementation is based on code from the CImg library:
    http://cimg.sourceforge.net/
    Thanks to David Tschumperl� and all the CImg contributors!
*/

// OpenGL Graphics includes
#include <GL/glew.h>
#if defined (__APPLE__) || defined(MACOSX)
#pragma clang diagnostic ignored "-Wdeprecated-declarations"
  #include <GLUT/glut.h>
  #ifndef glutCloseFunc
  #define glutCloseFunc glutWMCloseFunc
  #endif
#else
#include <GL/freeglut.h>
#endif

// CUDA includes and interop headers
#include <cuda_runtime.h>
#include <cuda_gl_interop.h>

// CUDA utilities and system includes
#include <helper_functions.h>
#include <helper_cuda.h>      // includes cuda.h and cuda_runtime_api.h
#include <helper_cuda_gl.h>   // includes cuda_runtime_api.h

// Includes
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>

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

#define USE_SIMPLE_FILTER 0

#define MAX_EPSILON_ERROR 5.0f
#define THRESHOLD  0.15f

// Define the files that are to be save and the reference images for validation
const char *sOriginal[] =
{
    "lena_10.ppm",
    "lena_14.ppm",
    "lena_18.ppm",
    "lena_22.ppm",
    NULL
};

const char *sReference[] =
{
    "ref_10.ppm",
    "ref_14.ppm",
    "ref_18.ppm",
    "ref_22.ppm",
    NULL
};

const char *image_filename = "lena.ppm";
float sigma = 10.0f;
int order = 0;
int nthreads = 64;  // number of threads per block

unsigned int width, height;
unsigned int *h_img = NULL;
unsigned int *d_img = NULL;
unsigned int *d_temp = NULL;

GLuint pbo = 0;     // OpenGL pixel buffer object
GLuint texid = 0;   // texture

StopWatchInterface *timer = 0;

// Auto-Verification Code
const int frameCheckNumber = 4;
int fpsCount = 0;        // FPS count for averaging
int fpsLimit = 1;        // FPS limit for sampling
unsigned int frameCount = 0;

int *pArgc = NULL;
char **pArgv = NULL;

bool runBenchmark = false;

const char *sSDKsample = "CUDA Recursive Gaussian";

extern "C"
void transpose(unsigned int *d_src, unsigned int *d_dest, unsigned int width, int height);

extern "C"
void gaussianFilterRGBA(unsigned int *d_src, unsigned int *d_dest, unsigned int *d_temp, int width, int height, float sigma, int order, int nthreads);

void cleanup();

void computeFPS()
{
    frameCount++;
    fpsCount++;

    if (fpsCount == fpsLimit)
    {
        char fps[256];
        float ifps = 1.f / (sdkGetAverageTimerValue(&timer) / 1000.f);
        sprintf(fps, "%s (sigma=%4.2f): %3.1f fps", sSDKsample, sigma, ifps);

        glutSetWindowTitle(fps);
        fpsCount = 0;

        fpsLimit = ftoi(MAX(ifps, 1.f));
        sdkResetTimer(&timer);
    }
}

// display results using OpenGL
void display()
{
    sdkStartTimer(&timer);

    // execute filter, writing results to pbo
    unsigned int *d_result;
    checkCudaErrors(cudaGLMapBufferObject((void **)&d_result, pbo));
    gaussianFilterRGBA(d_img, d_result, d_temp, width, height, sigma, order, nthreads);
    checkCudaErrors(cudaGLUnmapBufferObject(pbo));

    // load texture from pbo
    glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, pbo);
    glBindTexture(GL_TEXTURE_2D, texid);
    glPixelStorei(GL_UNPACK_ALIGNMENT, 1);
    glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width, height, GL_RGBA, GL_UNSIGNED_BYTE, 0);
    glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, 0);

    // display results
    glClear(GL_COLOR_BUFFER_BIT);

    glEnable(GL_TEXTURE_2D);
    glDisable(GL_DEPTH_TEST);

    glBegin(GL_QUADS);
    glTexCoord2f(0, 1);
    glVertex2f(0, 0);
    glTexCoord2f(1, 1);
    glVertex2f(1, 0);
    glTexCoord2f(1, 0);
    glVertex2f(1, 1);
    glTexCoord2f(0, 0);
    glVertex2f(0, 1);
    glEnd();

    glDisable(GL_TEXTURE_2D);
    glutSwapBuffers();

    sdkStopTimer(&timer);

    computeFPS();
}

void idle()
{
    glutPostRedisplay();
}

void cleanup()
{
    sdkDeleteTimer(&timer);

    checkCudaErrors(cudaFree(d_img));
    checkCudaErrors(cudaFree(d_temp));

    if (!runBenchmark)
    {
        if (pbo)
        {
            checkCudaErrors(cudaGLUnregisterBufferObject(pbo));
            glDeleteBuffersARB(1, &pbo);
        }

        if (texid)
        {
            glDeleteTextures(1, &texid);
        }
    }
	
    // cudaDeviceReset causes the driver to clean up all state. While
    // not mandatory in normal operation, it is good practice.  It is also
    // needed to ensure correct operation when the application is being
    // profiled. Calling cudaDeviceReset causes all profile data to be
    // flushed before the application exits
    cudaDeviceReset();
}

void keyboard(unsigned char key, int x, int y)
{
    switch (key)
    {
        case 27:
            #if defined(__APPLE__) || defined(MACOSX)
                exit(EXIT_SUCCESS);
            #else
                glutDestroyWindow(glutGetWindow());
                return;
            #endif
            break;

        case '=':
            sigma+=0.1f;
            break;

        case '-':
            sigma-=0.1f;

            if (sigma < 0.0)
            {
                sigma = 0.0f;
            }

            break;

        case '+':
            sigma+=1.0f;
            break;

        case '_':
            sigma-=1.0f;

            if (sigma < 0.0)
            {
                sigma = 0.0f;
            }

            break;

        case '0':
            order = 0;
            break;

        case '1':
            order = 1;
            sigma = 0.5f;
            break;

        case '2':
            order = 2;
            sigma = 0.5f;
            break;

        default:
            break;
    }

    printf("sigma = %f\n", sigma);
    glutPostRedisplay();
}

void reshape(int x, int y)
{
    glViewport(0, 0, x, y);

    glMatrixMode(GL_MODELVIEW);
    glLoadIdentity();

    glMatrixMode(GL_PROJECTION);
    glLoadIdentity();
    glOrtho(0.0, 1.0, 0.0, 1.0, 0.0, 1.0);
}

void initCudaBuffers()
{
    unsigned int size = width * height * sizeof(unsigned int);

    // allocate device memory
    checkCudaErrors(cudaMalloc((void **) &d_img, size));
    checkCudaErrors(cudaMalloc((void **) &d_temp, size));

    checkCudaErrors(cudaMemcpy(d_img, h_img, size, cudaMemcpyHostToDevice));

    sdkCreateTimer(&timer);
}


void initGLBuffers()
{
    // create pixel buffer object to store final image
    glGenBuffersARB(1, &pbo);
    glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, pbo);
    glBufferDataARB(GL_PIXEL_UNPACK_BUFFER_ARB, width*height*sizeof(GLubyte)*4, h_img, GL_STREAM_DRAW_ARB);

    glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, 0);
    checkCudaErrors(cudaGLRegisterBufferObject(pbo));

    // create texture for display
    glGenTextures(1, &texid);
    glBindTexture(GL_TEXTURE_2D, texid);
    glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA8, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
    glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
    glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
    glBindTexture(GL_TEXTURE_2D, 0);
}

void initGL(int *argc, char **argv)
{
    glutInit(argc, argv);
    glutInitDisplayMode(GLUT_RGB | GLUT_DOUBLE);
    glutInitWindowSize(width, height);
    glutCreateWindow(sSDKsample);
    glutDisplayFunc(display);
    glutKeyboardFunc(keyboard);
    glutReshapeFunc(reshape);
    glutIdleFunc(idle);

#if defined (__APPLE__) || defined(MACOSX)
    atexit(cleanup);
#else
    glutCloseFunc(cleanup);
#endif

    printf("Press '+' and '-' to change filter width\n");
    printf("0, 1, 2 - change filter order\n");

    glewInit();

    if (!glewIsSupported("GL_VERSION_2_0 GL_ARB_vertex_buffer_object GL_ARB_pixel_buffer_object"))
    {
        fprintf(stderr, "Required OpenGL extensions missing.");
        exit(EXIT_FAILURE);
    }
}

void
benchmark(int iterations)
{
    // allocate memory for result
    unsigned int *d_result;
    unsigned int size = width * height * sizeof(unsigned int);
    checkCudaErrors(cudaMalloc((void **) &d_result, size));

    // warm-up
    gaussianFilterRGBA(d_img, d_result, d_temp, width, height, sigma, order, nthreads);

    checkCudaErrors(cudaDeviceSynchronize());
    sdkStartTimer(&timer);

    // execute the kernel
    for (int i = 0; i < iterations; i++)
    {
        gaussianFilterRGBA(d_img, d_result, d_temp, width, height, sigma, order, nthreads);
    }

    checkCudaErrors(cudaDeviceSynchronize());
    sdkStopTimer(&timer);

    // check if kernel execution generated an error
    getLastCudaError("Kernel execution failed");

    printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer));
    printf("%.2f Mpixels/sec\n", (width*height*iterations / (sdkGetTimerValue(&timer) / 1000.0f)) / 1e6);

    checkCudaErrors(cudaFree(d_result));
}

bool
runSingleTest(const char *ref_file, const char *exec_path)
{
    // allocate memory for result
    int nTotalErrors = 0;
    unsigned int *d_result;
    unsigned int size = width * height * sizeof(unsigned int);
    checkCudaErrors(cudaMalloc((void **) &d_result, size));

    // warm-up
    gaussianFilterRGBA(d_img, d_result, d_temp, width, height, sigma, order, nthreads);

    checkCudaErrors(cudaDeviceSynchronize());
    sdkStartTimer(&timer);

    gaussianFilterRGBA(d_img, d_result, d_temp, width, height, sigma, order, nthreads);
    checkCudaErrors(cudaDeviceSynchronize());
    getLastCudaError("Kernel execution failed");
    sdkStopTimer(&timer);

    unsigned char *h_result = (unsigned char *)malloc(width*height*4);
    checkCudaErrors(cudaMemcpy(h_result, d_result, width*height*4, cudaMemcpyDeviceToHost));

    char dump_file[1024];
    sprintf(dump_file, "lena_%02d.ppm", (int)sigma);
    sdkSavePPM4ub(dump_file, h_result, width, height);

    if (!sdkComparePPM(dump_file, sdkFindFilePath(ref_file, exec_path), MAX_EPSILON_ERROR, THRESHOLD, false))
    {
        nTotalErrors++;
    }

    printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer));
    printf("%.2f Mpixels/sec\n", (width*height / (sdkGetTimerValue(&timer) / 1000.0f)) / 1e6);

    checkCudaErrors(cudaFree(d_result));
    free(h_result);

    printf("Summary: %d errors!\n", nTotalErrors);

    printf(nTotalErrors == 0 ? "Test passed\n": "Test failed!\n");
    return (nTotalErrors == 0);
}

////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int
main(int argc, char **argv)
{
    pArgc = &argc;
    pArgv = argv;
    char *ref_file = NULL;

#if defined(__linux__)
    setenv ("DISPLAY", ":0", 0);
#endif

    printf("%s Starting...\n\n", sSDKsample);

    printf("NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.\n\n");

    // use command-line specified CUDA device, otherwise use device with highest Gflops/s
    if (argc > 1)
    {
        if (checkCmdLineFlag(argc, (const char **)argv, "file"))
        {
            getCmdLineArgumentString(argc, (const char **)argv, "file", &ref_file);
            fpsLimit = frameCheckNumber;
        }
    }

    // Get the path of the filename
    char *filename;

    if (getCmdLineArgumentString(argc, (const char **) argv, "image", &filename))
    {
        image_filename = filename;
    }

    // load image
    char *image_path = sdkFindFilePath(image_filename, argv[0]);

    if (image_path == NULL)
    {
        fprintf(stderr, "Error unable to find and load image file: '%s'\n", image_filename);
        exit(EXIT_FAILURE);
    }

    sdkLoadPPM4ub(image_path, (unsigned char **)&h_img, &width, &height);

    if (!h_img)
    {
        printf("Error unable to load PPM file: '%s'\n", image_path);
        exit(EXIT_FAILURE);
    }

    printf("Loaded '%s', %d x %d pixels\n", image_path, width, height);

    if (checkCmdLineFlag(argc, (const char **)argv, "threads"))
    {
        nthreads = getCmdLineArgumentInt(argc, (const char **) argv, "threads");
    }

    if (checkCmdLineFlag(argc, (const char **)argv, "sigma"))
    {
        sigma = getCmdLineArgumentFloat(argc, (const char **) argv, "sigma");
    }

    runBenchmark = checkCmdLineFlag(argc, (const char **) argv, "benchmark");

    int device;
    struct cudaDeviceProp prop;
    cudaGetDevice(&device);
    cudaGetDeviceProperties(&prop, device);

    if (!strncmp("Tesla", prop.name, 5))
    {
        printf("Tesla card detected, running the test in benchmark mode (no OpenGL display)\n");
        //        runBenchmark = true;
        runBenchmark = true;
    }

    // Benchmark or AutoTest mode detected, no OpenGL
    if (runBenchmark == true || ref_file != NULL)
    {
        findCudaDevice(argc, (const char **)argv);
    }
    else
    {
        // First initialize OpenGL context, so we can properly set the GL for CUDA.
        // This is necessary in order to achieve optimal performance with OpenGL/CUDA interop.
        initGL(&argc, argv);
        findCudaGLDevice(argc, (const char **)argv);
    }

    initCudaBuffers();

    if (ref_file)
    {
        printf("(Automated Testing)\n");
        bool testPassed = runSingleTest(ref_file, argv[0]);

        cleanup();

        // cudaDeviceReset causes the driver to clean up all state. While
        // not mandatory in normal operation, it is good practice.  It is also
        // needed to ensure correct operation when the application is being
        // profiled. Calling cudaDeviceReset causes all profile data to be
        // flushed before the application exits
        cudaDeviceReset();

        exit(testPassed ? EXIT_SUCCESS : EXIT_FAILURE);
    }

    if (runBenchmark)
    {
        printf("(Run Benchmark)\n");
        benchmark(100);

        cleanup();

        // cudaDeviceReset causes the driver to clean up all state. While
        // not mandatory in normal operation, it is good practice.  It is also
        // needed to ensure correct operation when the application is being
        // profiled. Calling cudaDeviceReset causes all profile data to be
        // flushed before the application exits
        cudaDeviceReset();

        exit(EXIT_SUCCESS);
    }

    initGLBuffers();
    glutMainLoop();

    exit(EXIT_SUCCESS);
}
