/******************************************************************************* * 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 ******************************************************************************/ // // Created by raver119 on 24.02.18. // #include #if NOT_EXCLUDED(OP_test_scalar) #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(test_scalar, 1, 1, false, 0, 0) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); double val = input->e(0) + 2.0; output->p(0, val); return Status::OK(); } DECLARE_SHAPE_FN(test_scalar) { Nd4jLong *newShape; ALLOCATE(newShape, block.workspace(), shape::shapeInfoLength(2), Nd4jLong); newShape[0] = 2; newShape[1] = 1; newShape[2] = 1; newShape[3] = 1; newShape[4] = 1; newShape[5] = 0; newShape[6] = 1; newShape[7] = 99; ArrayOptions::setDataType(newShape, ArrayOptions::dataType(inputShape->at(0))); auto shape = ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newShape)); RELEASE(newShape, block.getWorkspace()); return SHAPELIST(shape); } DECLARE_TYPES(test_scalar) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setSameMode(true); } } } #endif