/******************************************************************************* * 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 // #include #if NOT_EXCLUDED(OP_random_bernoulli) #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(random_bernoulli, 1, 1, true, 1, 0) { auto rng = block.getRng(); // FIXME: to be implemented /* if (rng == nullptr) return Status::THROW("RNG is null, aborting..."); auto x = INPUT_VARIABLE(0); auto z = OUTPUT_VARIABLE(0); T f = T_ARG(0); functions::random::RandomFunction::template execTransform>(block.getRNG(), z->getBuffer(), z->getShapeInfo(), &f); */ auto z = OUTPUT_VARIABLE(0); auto f = T_ARG(0); RandomLauncher::fillBernoulli(rng, z, f); return Status::OK(); } DECLARE_SHAPE_FN(random_bernoulli) { auto in = INPUT_VARIABLE(0); auto shape = in->template asVectorT(); auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(block.dataType(), 'c', shape); return SHAPELIST(newShape); } DECLARE_TYPES(random_bernoulli) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif