TLog.cpp

/* 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) 2018-07-12
*/

#include "../core/math/Unary.h"
#include "../core/utilities/CheckData.h"
#include "TLog.h"

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

/*
case 1: test Log function.
Set every entry to its log value.
*/
bool TestLog1()
{
    /* a tensor of size (3, 2) */
    int order = 2;
    int * dimSize = new int[order];
    dimSize[0] = 3;
    dimSize[1] = 2;

    int unitNum = 1;
    for (int i = 0; i < order; i++)
        unitNum *= dimSize[i];

    DTYPE aData[3][2] = { {1.0F, 2.0F}, 
                          {0.5F, 4.0F},
                          {5.0F, 6.0F} };
    DTYPE answer[3][2] = { {0.0F, 0.6931F},
                           {-0.6931F, 1.3863F},
                           {1.6094F, 1.7918F} };

    /* CPU test */
    bool cpuTest = true;

    /* create tensors */
    XTensor * a = NewTensor(order, dimSize);
    XTensor * b = NewTensor(order, dimSize);
    XTensor * aMe = NewTensor(order, dimSize);
    XTensor bUser;

    /* initialize variables */
    a->SetData(aData, unitNum);
    aMe->SetData(aData, unitNum);

    /* call Log function */
    _Log(a, b);
    _LogMe(aMe);
    bUser = Log(*a);

    /* check results */
    cpuTest = CheckData(b, answer, unitNum, 1e-4F) && CheckData(aMe, answer, unitNum, 1e-4F) && CheckData(&bUser, answer, unitNum, 1e-4F);
    
#ifdef USE_CUDA
    /* GPU test */
    bool gpuTest = true;

    /* create tensor */
    XTensor * aGPU = NewTensor(order, dimSize, X_FLOAT, 1.0F, 0);
    XTensor * bGPU = NewTensor(order, dimSize, X_FLOAT, 1.0F, 0);
    XTensor * aMeGPU = NewTensor(order, dimSize, X_FLOAT, 1.0F, 0);
    XTensor bUserGPU;

    /* Initialize variables */
    aGPU->SetData(aData, unitNum);
    aMeGPU->SetData(aData, unitNum);

    /* call Log function */
    _Log(aGPU, bGPU);
    _LogMe(aMeGPU);
    bUserGPU = Log(*aGPU);

    /* check results */
    gpuTest = CheckData(bGPU, answer, unitNum, 1e-4F) && CheckData(aMeGPU, answer, unitNum, 1e-4F) && CheckData(&bUserGPU, answer, unitNum, 1e-4F);

    /* destroy variables */
    delete a;
    delete b;
    delete aMe;
    delete aGPU;
    delete bGPU;
    delete aMeGPU;
    delete[] dimSize;

    return cpuTest && gpuTest;
#else
    /* destroy variables */
    delete a;
    delete b;
    delete aMe;
    delete[] dimSize;

    return cpuTest;
#endif // USE_CUDA
}

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

/* test for Log Function */
bool TestLog()
{
    XPRINT(0, stdout, "[TEST Log] set every entry to its log value \n");
    bool returnFlag = true, caseFlag = true;

    /* case 1 test */
    caseFlag = TestLog1();

    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)