/* -------------------------------------------------------------------------- *
 *                                   OpenMM                                   *
 * -------------------------------------------------------------------------- *
 * This is part of the OpenMM molecular simulation toolkit originating from   *
 * Simbios, the NIH National Center for Physics-Based Simulation of           *
 * Biological Structures at Stanford, funded under the NIH Roadmap for        *
 * Medical Research, grant U54 GM072970. See https://simtk.org.               *
 *                                                                            *
 * Portions copyright (c) 2011-2022 Stanford University and the Authors.      *
 * Authors: Peter Eastman                                                     *
 * Contributors:                                                              *
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 * copy of this software and associated documentation files (the "Software"), *
 * to deal in the Software without restriction, including without limitation  *
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 * and/or sell copies of the Software, and to permit persons to whom the      *
 * Software is furnished to do so, subject to the following conditions:       *
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 * The above copyright notice and this permission notice shall be included in *
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 * -------------------------------------------------------------------------- */

/**
 * This tests the CUDA implementation of FFT.
 */

#include "openmm/internal/AssertionUtilities.h"
#include "CudaArray.h"
#include "CudaContext.h"
#include "CudaFFT3D.h"
#include "CudaSort.h"
#include "sfmt/SFMT.h"
#include "openmm/System.h"
#include <complex>
#include <iostream>
#include <cmath>
#include <set>
#ifdef _MSC_VER
  #define POCKETFFT_NO_VECTORS
#endif
#include "pocketfft_hdronly.h"

using namespace OpenMM;
using namespace std;

static CudaPlatform platform;

template <class Real2>
void testTransform(bool realToComplex, int xsize, int ysize, int zsize) {
    System system;
    system.addParticle(0.0);
    CudaPlatform::PlatformData platformData(NULL, system, "", "true", platform.getPropertyDefaultValue("CudaPrecision"), "false",
            platform.getPropertyDefaultValue(CudaPlatform::CudaTempDirectory()),
            platform.getPropertyDefaultValue(CudaPlatform::CudaDisablePmeStream()), "false", 1, NULL);
    CudaContext& context = *platformData.contexts[0];
    context.initialize();
    context.setAsCurrent();
    OpenMM_SFMT::SFMT sfmt;
    init_gen_rand(0, sfmt);
    vector<Real2> original(xsize*ysize*zsize);
    vector<complex<double>> reference(original.size());
    for (int i = 0; i < (int) original.size(); i++) {
        Real2 value;
        value.x = (float) genrand_real2(sfmt);
        value.y = (float) genrand_real2(sfmt);
        original[i] = value;
        reference[i] = complex<double>(value.x, value.y);
    }
    for (int i = 0; i < (int) reference.size(); i++) {
        if (realToComplex)
            reference[i] = complex<double>(i%2 == 0 ? original[i/2].x : original[i/2].y, 0);
        else
            reference[i] = complex<double>(original[i].x, original[i].y);
    }
    CudaArray grid1(context, original.size(), sizeof(Real2), "grid1");
    CudaArray grid2(context, original.size(), sizeof(Real2), "grid2");
    grid1.upload(original);
    CudaFFT3D fft(context, xsize, ysize, zsize, realToComplex);

    // Perform a forward FFT, then verify the result is correct.

    fft.execFFT(grid1, grid2, true);
    vector<Real2> result;
    grid2.download(result);
    vector<size_t> shape = {(size_t) xsize, (size_t) ysize, (size_t) zsize};
    vector<size_t> axes = {0, 1, 2};
    vector<ptrdiff_t> stride = {(ptrdiff_t) (ysize*zsize*sizeof(complex<double>)),
                                (ptrdiff_t) (zsize*sizeof(complex<double>)),
                                (ptrdiff_t) sizeof(complex<double>)};
    pocketfft::c2c(shape, stride, stride, axes, true, reference.data(), reference.data(), 1.0);
    int outputZSize = (realToComplex ? zsize/2+1 : zsize);
    for (int x = 0; x < xsize; x++)
        for (int y = 0; y < ysize; y++)
            for (int z = 0; z < outputZSize; z++) {
                int index1 = x*ysize*zsize + y*zsize + z;
                int index2 = x*ysize*outputZSize + y*outputZSize + z;
                ASSERT_EQUAL_TOL(reference[index1].real(), result[index2].x, 1e-3);
                ASSERT_EQUAL_TOL(reference[index1].imag(), result[index2].y, 1e-3);
            }

    // Perform a backward transform and see if we get the original values.

    fft.execFFT(grid2, grid1, false);
    grid1.download(result);
    double scale = 1.0/(xsize*ysize*zsize);
    int valuesToCheck = (realToComplex ? original.size()/2 : original.size());
    for (int i = 0; i < valuesToCheck; ++i) {
        ASSERT_EQUAL_TOL(original[i].x, scale*result[i].x, 1e-4);
        ASSERT_EQUAL_TOL(original[i].y, scale*result[i].y, 1e-4);
    }
}

int main(int argc, char* argv[]) {
    try {
        if (argc > 1)
            platform.setPropertyDefaultValue("CudaPrecision", string(argv[1]));
        if (platform.getPropertyDefaultValue("CudaPrecision") == "double") {
            testTransform<double2>(false, 28, 25, 30);
            testTransform<double2>(true, 28, 25, 25);
            testTransform<double2>(true, 25, 28, 25);
            testTransform<double2>(true, 25, 25, 28);
            testTransform<double2>(true, 21, 25, 27);
        }
        else {
            testTransform<float2>(false, 28, 25, 30);
            testTransform<float2>(true, 28, 25, 25);
            testTransform<float2>(true, 25, 28, 25);
            testTransform<float2>(true, 25, 25, 28);
            testTransform<float2>(true, 21, 25, 27);
        }
    }
    catch(const exception& e) {
        cout << "exception: " << e.what() << endl;
        return 1;
    }
    cout << "Done" << endl;
    return 0;
}
