/* NiuTrans.Tensor - an open-source tensor library
 * Copyright (C) 2017, Natural Language Processing Lab, Northestern University. 
 * All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

/*
 * $Created by: Xu Chen (email: hello_master1954@163.com) 2018-09-27
 */

#include <math.h>
#include "TReduceSumAll.h"

namespace nts { // namespace nts(NiuTrans.Tensor)

/* 
case 1: test ReduceSumAll function
sum all the items of the tensor
*/
bool TestReduceSumAll1()
{
    /* a tensor of size (2, 4) */
    int sOrder = 2;
    int * sDimSize = new int[sOrder];
    sDimSize[0] = 2;
    sDimSize[1] = 4;

    int sUnitNum = 1;
    for (int i = 0; i < sOrder; i++)
        sUnitNum *= sDimSize[i];

    DTYPE sData[2][4] = { {0.0F, 1.0F, 2.0F, 3.0F},
                          {4.0F, 5.0F, 6.0F, 7.0F} };
    DTYPE summation;
    DTYPE answer = 28.0F;

    /* CPU test */
    bool cpuTest = true;

    /* create tensors */
    XTensor * s = NewTensorV2(sOrder, sDimSize);

    /* initialize variables */
    s->SetData(sData, sUnitNum);

    /* call ReduceSumAll function */
    summation = ReduceSumAllValue(*s);

    /* check results */
    cpuTest = (fabs(answer - summation) < 1e-4F);

#ifdef USE_CUDA
    /* GPU test */
    bool gpuTest = true;

    /* create tensors */
    XTensor * sGPU = NewTensorV2(sOrder, sDimSize, X_FLOAT, 1.0F, 0);

    /* initialize variables */
    sGPU->SetData(sData, sUnitNum);

    /* call ReduceSumAll function */
    summation = ReduceSumAllValue(*sGPU);

    /* check results */
    gpuTest = (fabs(answer - summation) < 1e-4F);

    /* destroy variables */
    delete s;
    delete sGPU;
    delete[] sDimSize;

    return cpuTest && gpuTest;
#else
    /* destroy variables */
    delete s;
    delete[] sDimSize;

    return cpuTest;
#endif // USE_CUDA
}

/* other cases */
/*
TODO!!
*/

/* test for ReduceSumAll Function */
bool TestReduceSumAll()
{
    XPRINT(0, stdout, "[TEST ReduceSumAll] sum the items along a dimension of the tensor.\n");
    bool returnFlag = true, caseFlag = true;

    /* case 1 test */
    caseFlag = TestReduceSumAll1();
    if (!caseFlag) {
        returnFlag = false;
        XPRINT(0, stdout, ">> case 1 failed!\n");
    }
    else
        XPRINT(0, stdout, ">> case 1 passed!\n");

    /* other cases test */
    /*
    TODO!!
    */

    if (returnFlag) {
        XPRINT(0, stdout, ">> All Passed!\n");
    }
    else
        XPRINT(0, stdout, ">> Failed!\n");

    XPRINT(0, stdout, "\n");

    return returnFlag;
    }

} // namespace nts(NiuTrans.Tensor)
