// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2022 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 "eliminate_noop_cat.h" #include #include "pass_level2.h" namespace pnnx { void eliminate_noop_cat(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 != "torch.cat") continue; if (op->inputs.size() > 1) continue; // delete noop-like cat matched = true; op->inputs[0]->remove_consumer(op); Operand* cat_out = op->outputs[0]; for (auto& x : cat_out->consumers) { for (size_t j = 0; j < x->inputs.size(); j++) { if (x->inputs[j] == cat_out) x->inputs[j] = op->inputs[0]; } op->inputs[0]->consumers.push_back(x); } op->inputs[0]->name = cat_out->name; cat_out->producer = 0; cat_out->consumers.clear(); graph.operands.erase(std::find(graph.operands.begin(), graph.operands.end(), cat_out)); delete cat_out; op->inputs.clear(); op->outputs.clear(); graph.ops.erase(graph.ops.begin() + i); delete op; break; } if (!matched) break; } } } // namespace pnnx