/******************************************************************************* * 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 George A. Shulinok // #include #if NOT_EXCLUDED(OP_random_poisson) #include #include namespace sd { namespace ops { CUSTOM_OP_IMPL(random_poisson, 2, 1, false, 0, 0) { // gamma distribution auto rng = block.randomGenerator(); auto shape = INPUT_VARIABLE(0); auto lambda = INPUT_VARIABLE(1); auto output = OUTPUT_VARIABLE(0); auto seed = 0; if (block.getIArguments()->size()) { seed = INT_ARG(0); } rng.setSeed(seed); helpers::fillRandomPoisson(block.launchContext(), rng, lambda, output); return Status::OK(); } DECLARE_SHAPE_FN(random_poisson) { auto in = INPUT_VARIABLE(0); auto shape = in->template asVectorT(); auto lambdaShape = inputShape->at(1); auto dtype = block.numD() > 0? D_ARG(0) : ArrayOptions::dataType(lambdaShape); for (auto d = 0; d < shape::rank(lambdaShape); ++d ) { shape.emplace_back(shape::sizeAt(lambdaShape, d)); } auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(dtype, 'c', shape); return SHAPELIST(newShape); } DECLARE_TYPES(random_poisson) { getOpDescriptor() ->setAllowedInputTypes(0, {ALL_INTS}) ->setAllowedInputTypes(1, {ALL_FLOATS}) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif