/******************************************************************************* * 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_tile_to_shape) #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(tile_to_shape, 1, 1, true, 0, -1) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); std::vector outShape(block.getIArguments()->begin(), block.getIArguments()->end()); if (block.isInplace()) { input->tileToShape(outShape); } else { input->tileToShape(outShape, output); } return Status::OK(); } DECLARE_SHAPE_FN(tile_to_shape) { auto in = inputShape->at(0); // output shape always equals to arguments auto conv = ArrayUtils::toLongVector(*block.getIArguments()); auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(block.dataType(), shape::order(in), conv); return SHAPELIST(newShape); } DECLARE_TYPES(tile_to_shape) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setSameMode(true); } DECLARE_TYPES(tile_to_shape_bp) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setAllowedOutputTypes({ALL_FLOATS}); } CUSTOM_OP_IMPL(tile_to_shape_bp, 2, 1, true, 0, -1) { auto input = INPUT_VARIABLE(0); auto epsNext = INPUT_VARIABLE(1); auto gradX = OUTPUT_VARIABLE(0); auto axisX = ShapeUtils::evalBroadcastBackwardAxis(input->shapeInfo(), epsNext->shapeInfo()); // FIX ME: reduceAlongDims should have a signature with result pass to avoid assigning twice if (!axisX.empty()) { auto tempRes = epsNext->reduceAlongDims(reduce::Sum, axisX); gradX->assign(tempRes); } else gradX->assign(epsNext); STORE_RESULT(gradX); return Status::OK(); } DECLARE_SHAPE_FN(tile_to_shape_bp) { auto in = inputShape->at(0); Nd4jLong *newShape; COPY_SHAPE(in, newShape); return SHAPELIST(CONSTANT(newShape)); } } } #endif