// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2023 THL A29 Limited, a Tencent company. All rights reserved. // // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except // in compliance with the License. You may obtain a copy of the License at // // https://opensource.org/licenses/BSD-3-Clause // // 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. #include "attribute_unpooling.h" #include namespace pnnx { void attribute_unpooling(Graph& graph) { while (1) { bool matched = false; for (size_t i = 0; i < graph.ops.size(); i++) { Operator* op = graph.ops[i]; if (op->type != "pnnx.Attribute") continue; Operand* attr = op->outputs[0]; if (attr->consumers.size() < 2) continue; // multiple modules share same weight matched = true; for (int i = 1; i < (int)attr->consumers.size(); i++) { Operator* x = attr->consumers[i]; Operator* op2 = graph.new_operator_after("pnnx.Attribute", op->name + "_" + std::to_string(i), op); op2->inputnames = op->inputnames; op2->params = op->params; op2->attrs = op->attrs; Operand* attr2 = graph.new_operand(attr->name + "_" + std::to_string(i)); attr2->type = attr->type; attr2->shape = attr->shape; attr2->params = attr->params; op2->outputs.push_back(attr2); attr2->producer = op2; attr2->consumers.push_back(x); for (size_t j = 0; j < x->inputs.size(); j++) { if (x->inputs[j] == attr) x->inputs[j] = attr2; } } attr->consumers.resize(1); break; } if (!matched) break; } } } // namespace pnnx