/******************************************************************************* * 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 raver119@gmail.com // #ifndef DEV_TESTS_BROADCASTOPSTUPLE_H #define DEV_TESTS_BROADCASTOPSTUPLE_H #include #include namespace nd4j { class ND4J_EXPORT BroadcastOpsTuple { private: public: nd4j::scalar::Ops s; nd4j::pairwise::Ops p; nd4j::broadcast::Ops b; BroadcastOpsTuple() = default; ~BroadcastOpsTuple() = default; BroadcastOpsTuple(nd4j::scalar::Ops scalar, nd4j::pairwise::Ops pairwise, nd4j::broadcast::Ops broadcast) { s = scalar; p = pairwise; b = broadcast; } static BroadcastOpsTuple custom(nd4j::scalar::Ops scalar, nd4j::pairwise::Ops pairwise, nd4j::broadcast::Ops broadcast); static BroadcastOpsTuple Add(); static BroadcastOpsTuple Assign(); static BroadcastOpsTuple Divide(); static BroadcastOpsTuple DivideNoNan(); static BroadcastOpsTuple Multiply(); static BroadcastOpsTuple Subtract(); static BroadcastOpsTuple IGamma(); static BroadcastOpsTuple IGammac(); }; } #endif //DEV_TESTS_BROADCASTOPSTUPLE_H