/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://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. */ #pragma once #include #include #include #include #include #include "ngraph/ngraph.hpp" #include "paddle/fluid/operators/ngraph/ops/op_bridge.h" #include "paddle/fluid/platform/ngraph_helper.h" namespace paddle { namespace operators { namespace ngraphs { void BuildGatherNode( const std::shared_ptr& op, std::shared_ptr< std::unordered_map>> ngb_node_map) { auto x = platform::GetInputNode(op, "X", ngb_node_map); auto index = platform::GetInputNode(op, "Index", ngb_node_map); auto x_shape = x->get_shape(); size_t axis_1 = x_shape[0]; size_t axis_2 = 1; if (x_shape.size() > 1) { axis_2 = std::accumulate(std::begin(x_shape) + 1, std::end(x_shape), 1, std::multiplies()); } std::vector x_order(x_shape.size()); std::iota(std::begin(x_order), std::end(x_order), 0); auto x_reshape = std::make_shared( x, ngraph::AxisVector(x_order), ngraph::Shape{axis_1, axis_2}); auto x_reshape_shape = x_reshape->get_shape(); auto result = std::make_shared(index, x_reshape); auto result_shape = result->get_shape(); std::vector out_shape(x_shape); out_shape[0] = result_shape[0]; std::vector axis_vector; for (size_t i = 0; i < result_shape.size(); i++) { axis_vector.push_back(i); } auto out = std::make_shared( result, ngraph::AxisVector(axis_vector), out_shape); paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map); } } // namespace ngraphs } // namespace operators } // namespace paddle REGISTER_NG_OP(gather, BuildGatherNode);