/* ****************************************************************************** * * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://www.apache.org/licenses/LICENSE-2.0. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * 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. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author sgazeos@gmail.com // #include #include //#include namespace sd { namespace ops { namespace helpers { template static Nd4jLong listDiffCount_(NDArray* values, NDArray* keep) { Nd4jLong saved = 0L; for (Nd4jLong e = 0; e < values->lengthOf(); e++) { auto v = values->e(e); ExtraArguments extras({v, 0.0, 10.0}); auto idx = keep->indexReduceNumber(indexreduce::FirstIndex, &extras); auto index = idx.e(0); if (index < 0) saved++; } return saved; } Nd4jLong listDiffCount(sd::LaunchContext * context, NDArray* values, NDArray* keep) { auto xType = values->dataType(); NDArray::preparePrimaryUse({},{values, keep}); BUILD_SINGLE_SELECTOR(xType, return listDiffCount_, (values, keep), LIBND4J_TYPES); NDArray::registerPrimaryUse({},{values, keep}); } BUILD_SINGLE_TEMPLATE(template Nd4jLong listDiffCount_, (NDArray* values, NDArray* keep);, LIBND4J_TYPES); template static int listDiffFunctor_(NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) { std::vector saved; std::vector indices; for (Nd4jLong e = 0; e < values->lengthOf(); e++) { auto v = values->e(e); ExtraArguments extras({v, 0.0, 10.0}); NDArray idxScalar = keep->indexReduceNumber(indexreduce::FirstIndex, &extras); Nd4jLong idx = idxScalar.e(0); if (idx < 0) { saved.emplace_back(v); indices.emplace_back(e); } } if (saved.size() == 0) { // if (sd::ops::conditionHelper(__FILE__, __LINE__, false, 0, "ListDiff: search returned no results") != 0) nd4j_printf("ListDiff: search returned no results", ""); throw std::invalid_argument("Op validation failed"); } else { auto z0 = output1;//OUTPUT_VARIABLE(0); //new NDArray('c', {(int) saved.size()}); auto z1 = output2; //OUTPUT_VARIABLE(1); //new NDArray('c', {(int) saved.size()}); if (z0->lengthOf() != saved.size()) { nd4j_printf("ListDiff: output/actual size mismatch", ""); throw std::invalid_argument("Op validation failed"); } if (z1->lengthOf() != saved.size()) { nd4j_printf("ListDiff: output/actual indices size mismatch", ""); throw std::invalid_argument("Op validation failed"); } memcpy(z0->buffer(), saved.data(), saved.size() * sizeof(T)); for (int e = 0; e < indices.size(); e++) { z1->p(e, indices[e]); } } return Status::OK(); } int listDiffFunctor(sd::LaunchContext * context, NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) { auto xType = values->dataType(); NDArray::preparePrimaryUse({output1, output2}, {values, keep}); int result = 0; if (DataTypeUtils::isR(xType)) { BUILD_SINGLE_SELECTOR(xType, result = listDiffFunctor_, (values, keep, output1, output2), FLOAT_TYPES); } else if (DataTypeUtils::isZ(xType)) { BUILD_SINGLE_SELECTOR(xType, result = listDiffFunctor_, (values, keep, output1, output2), INTEGER_TYPES); } else { throw std::runtime_error("ListDiff: Only integer and floating point data types are supported"); } NDArray::registerPrimaryUse({output1, output2}, {values, keep}); return result; } BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, FLOAT_TYPES); BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, INTEGER_TYPES); } } }