/******************************************************************************* * Copyright (c) 2015-2018 Skymind, Inc. * * 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. * * 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 ******************************************************************************/ // // Created by raver119 on 24/09/18. // #include #include namespace sd { namespace ops { namespace helpers { template static void __where(NDArray &condition, NDArray& output, memory::Workspace *workspace) { NDArrayList list(0, true); int cnt = 0; int idx[MAX_RANK]; for (Nd4jLong e = 0; e < condition.lengthOf(); e++) { shape::index2coordsCPU(0, e, condition.shapeInfo(), idx); auto offset = shape::getOffset(condition.shapeInfo(), idx); if (condition.e(offset)) { auto array = NDArrayFactory::create_('c', {1, condition.rankOf()}, output.dataType(), output.getContext()); for (int f = 0; f < condition.rankOf(); f++) array->p(f, (T) idx[f]); list.write(cnt++, array); } } auto s = list.stack(); output.assign(s); delete s; } BUILD_SINGLE_TEMPLATE(template void __where,(NDArray &condition, NDArray& output, memory::Workspace *workspace), LIBND4J_TYPES); void _where(sd::LaunchContext * context, NDArray &condition, NDArray& output, memory::Workspace *workspace) { condition.syncToHost(); BUILD_SINGLE_SELECTOR(output.dataType(), __where, (condition, output, workspace), LIBND4J_TYPES); output.syncToDevice(); } } } }