/******************************************************************************* * 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 GS // #include #include namespace sd { namespace ops { namespace helpers { template static void sequenceMask_(NDArray* input, NDArray* output, int maxIndex) { auto func = PRAGMA_THREADS_FOR_2D { for (auto i = start_x; i < stop_x; i += inc_x) for (auto k = start_y; k < stop_y; k += inc_y) if (i < input->t(k)) output->t(k * maxIndex + i) = B(true); //, T(1.0f)); }; samediff::Threads::parallel_for(func, 0, maxIndex, 1, 0, input->lengthOf(), 1); } void sequenceMask(sd::LaunchContext * context, NDArray* input, NDArray* output, int maxIndex) { BUILD_DOUBLE_SELECTOR(input->dataType(), output->dataType(), sequenceMask_, (input, output, maxIndex), INTEGER_TYPES, LIBND4J_TYPES_EXTENDED); } BUILD_DOUBLE_TEMPLATE(template void sequenceMask_, (NDArray* input, NDArray* output, int maxIndex), INTEGER_TYPES, LIBND4J_TYPES_EXTENDED); } } }