/* 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) 2018-07-06 */ #include "TSetData.h" namespace nts { // namespace nts(NiuTrans.Tensor) /* case 1: set the cell to the ascending order along a given dimension. */ bool TestSetData1() { /* a input 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 answer[2][4] = {0}; /* CPU test */ bool cpuTest = true; /* create tensors */ XTensor * s = NewTensor(sOrder, sDimSize); /* call SetData function */ s->SetDataRand(0.0, 1.0); /* check results */ cpuTest = s->CheckData(answer, sUnitNum, 1.0F); #ifdef USE_CUDA /* GPU test */ bool gpuTest = true; /* create tensors */ XTensor * sGPU = NewTensor(sOrder, sDimSize, X_FLOAT, 1.0F, 0); /* call SetDataRand function */ sGPU->SetDataRand(0.0, 1.0); gpuTest = sGPU->CheckData(answer, sUnitNum, 1.0F); /* 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 SetData Function */ bool TestSetData() { XPRINT(0, stdout, "[TEST SetData] set the data of tensor \n"); bool returnFlag = true, caseFlag = true; /* case 1 test */ caseFlag = TestSetData1(); 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)