/******************************************************************************* * 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 ******************************************************************************/ // // @author Yurii Shyrma (iuriish@yahoo.com), created on 27.08.2018 // #include namespace nd4j { namespace ops { namespace helpers { ////////////////////////////////////////////////////////////////////////// // be careful: outVector must have c-order and ews = 1 !!! template static void _range(const NDArray& start, const NDArray& delta, NDArray& outVector) { const Nd4jLong len = outVector.lengthOf(); auto buff = reinterpret_cast(outVector.getBuffer()); auto s = start.e(0); auto d = delta.e(0); PRAGMA_OMP_PARALLEL_FOR_SIMD for(Nd4jLong i = 0; i < len; ++i) buff[i] = s + i * d; } void range(nd4j::LaunchContext * context, const NDArray& start, const NDArray& delta, NDArray& outVector) { BUILD_SINGLE_SELECTOR(outVector.dataType(), _range, (start, delta, outVector), LIBND4J_TYPES); } BUILD_SINGLE_TEMPLATE(template void _range, (const NDArray& start, const NDArray& delta, NDArray& outVector), LIBND4J_TYPES); } } }