/******************************************************************************* * 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 26.01.2018 // #include #if NOT_EXCLUDED(OP_random_shuffle) #include #include namespace nd4j { namespace ops { OP_IMPL(random_shuffle, 1, 1, true) { auto input = INPUT_VARIABLE(0); const bool isInplace = block.isInplace(); auto output = isInplace ? nullptr : OUTPUT_VARIABLE(0); nd4j::random::RandomBuffer* rng = block.getRNG(); REQUIRE_TRUE(rng != nullptr, 0, "RANDOM_SHUFFLE op: RNG should be defined in Graph !"); helpers::randomShuffle(block.launchContext(), *input, *output, *rng, isInplace); return Status::OK(); } DECLARE_TYPES(random_shuffle) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setSameMode(true); } } } #endif