/* NiuTrans.Tensor - an open-source tensor library * Copyright (C) 2017, Natural Language Processing Lab, Northeastern 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: Lin Ye (email: linye2015@outlook.com) 2018-06-14 */ #include "../core/utilities/CheckData.h" #include "TNegate.h" namespace nts { // namespace nts(NiuTrans.Tensor) /* case 1: set every entry to its minus value */ bool TestNegate1() { /* a tensor of size (3, 2) */ int aOrder = 2; int * aDimSize = new int[aOrder]; aDimSize[0] = 3; aDimSize[1] = 2; int aUnitNum = 1; for (int i = 0; i < aOrder; i++) aUnitNum *= aDimSize[i]; DTYPE aData[3][2] = { {1.0F, -2.0F}, {-3.0F, 4.0F}, {5.0F, -6.0F} }; DTYPE answer[3][2] = { {-1.0F, 2.0F}, {3.0F, -4.0F}, {-5.0F, 6.0F} }; /* CPU test */ bool cpuTest = true; /* create tensors */ XTensor * a = NewTensorV2(aOrder, aDimSize); XTensor * b = NewTensorV2(aOrder, aDimSize); XTensor * aMe = NewTensorV2(aOrder, aDimSize); XTensor bUser; /* initialize variables */ a->SetData(aData, aUnitNum); aMe->SetData(aData, aUnitNum); /* call Negate function */ _Negate(a, b); _NegateMe(aMe); bUser = Negate(*a); /* check results */ cpuTest = _CheckData(b, answer, aUnitNum, 1e-4F) && _CheckData(aMe, answer, aUnitNum, 1e-4F) && _CheckData(&bUser, answer, aUnitNum, 1e-4F); #ifdef USE_CUDA /* GPU test */ bool gpuTest = true; /* create tensor */ XTensor * aGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor * bGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor * aMeGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor bUserGPU; /* Initialize variables */ aGPU->SetData(aData, aUnitNum); aMeGPU->SetData(aData, aUnitNum); /* call Negate function */ _Negate(aGPU, bGPU); _NegateMe(aMeGPU); bUserGPU = Negate(*aGPU); /* check results */ gpuTest = _CheckData(bGPU, answer, aUnitNum, 1e-4F) && _CheckData(aMeGPU, answer, aUnitNum, 1e-4F) && _CheckData(&bUserGPU, answer, aUnitNum, 1e-4F); /* destroy variables */ delete a; delete b; delete aMe; delete aGPU; delete bGPU; delete aMeGPU; delete[] aDimSize; return cpuTest && gpuTest; #else /* destroy variables */ delete a; delete b; delete aMe; delete[] aDimSize; return cpuTest; #endif // USE_CUDA } /* case 2: set every entry to its minus value */ bool TestNegate2() { /* a tensor of size (3, 2) */ int aOrder = 2; int * aDimSize = new int[aOrder]; aDimSize[0] = 3; aDimSize[1] = 2; int aUnitNum = 1; for (int i = 0; i < aOrder; i++) aUnitNum *= aDimSize[i]; DTYPE aData[3][2] = { {0.0F, 0.0F}, {0.0F, 0.0F}, {0.0F, 0.0F} }; DTYPE answer[3][2] = { {-0.0F, -0.0F}, {-0.0F, -0.0F}, {-0.0F, -0.0F} }; /* CPU test */ bool cpuTest = true; /* create tensors */ XTensor * a = NewTensorV2(aOrder, aDimSize); XTensor * b = NewTensorV2(aOrder, aDimSize); XTensor * aMe = NewTensorV2(aOrder, aDimSize); XTensor bUser; /* initialize variables */ a->SetData(aData, aUnitNum); aMe->SetData(aData, aUnitNum); /* call Negate function */ _Negate(a, b); _NegateMe(aMe); bUser = Negate(*a); /* check results */ cpuTest = _CheckData(b, answer, aUnitNum, 1e-4F) && _CheckData(aMe, answer, aUnitNum, 1e-4F) && _CheckData(&bUser, answer, aUnitNum, 1e-4F); #ifdef USE_CUDA /* GPU test */ bool gpuTest = true; /* create tensor */ XTensor * aGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor * bGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor * aMeGPU = NewTensorV2(aOrder, aDimSize, X_FLOAT, 1.0F, 0); XTensor bUserGPU; /* Initialize variables */ aGPU->SetData(aData, aUnitNum); aMeGPU->SetData(aData, aUnitNum); /* call Negate function */ _Negate(aGPU, bGPU); _NegateMe(aMeGPU); bUserGPU = Negate(*aGPU); /* check results */ gpuTest = _CheckData(bGPU, answer, aUnitNum, 1e-4F) && _CheckData(aMeGPU, answer, aUnitNum, 1e-4F) && _CheckData(&bUserGPU, answer, aUnitNum, 1e-4F); /* destroy variables */ delete a; delete b; delete aMe; delete aGPU; delete bGPU; delete aMeGPU; delete[] aDimSize; return cpuTest && gpuTest; #else /* destroy variables */ delete a; delete b; delete aMe; delete[] aDimSize; return cpuTest; #endif // USE_CUDA } /* other cases */ /* TODO!! */ /* test for Negate Function */ bool TestNegate() { XPRINT(0, stdout, "[TEST NEGATE] set every entry to its minus value \n"); bool returnFlag = true, caseFlag = true; /* case 1 test */ caseFlag = TestNegate1(); if (!caseFlag) { returnFlag = false; XPRINT(0, stdout, ">> case 1 failed!\n"); } else XPRINT(0, stdout, ">> case 1 passed!\n"); /* case 2 test */ caseFlag = TestNegate2(); if (!caseFlag) { returnFlag = false; XPRINT(0, stdout, ">> case 2 failed!\n"); } else XPRINT(0, stdout, ">> case 2 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)