/* 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) 2018-07-31 */ #include "../core/math/Unary.h" #include "../core/utilities/CheckData.h" #include "TRound.h" namespace nts { // namespace nts(NiuTrans.Tensor) /* case 1: test Round function. Set every entry to its round value. */ bool TestRound1() { return true; /* 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] = { {1.3F, 2.7F}, {-1.3F, -2.7F}, {0.0F, 0.5F} }; DTYPE answer[3][2] = { {1.0F, 3.0F}, {-1.0F, -3.0F}, {0.0F, 1.0F} }; /* 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 Round function */ //_Round(a, b); //_RoundMe(aMe); //bUser = Round(*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 Round function */ //_Round(aGPU, bGPU); //_RoundMe(aMeGPU); //bUserGPU = Round(*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 Round Function */ bool TestRound() { XPRINT(0, stdout, "[TEST Round] set every entry to its round value \n"); bool returnFlag = true, caseFlag = true; /* case 1 test */ caseFlag = TestRound1(); 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)