// 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 "pass_ncnn.h" namespace pnnx { namespace ncnn { class F_fold : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.fold op_0 1 1 input out output_size=%output_size kernel_size=%kernel_size dilation=%dilation stride=%stride padding=%padding pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Fold"; } const char* name_str() const { return "fold"; } void write(Operator* op, const std::map& captured_params) const { op->params["1"] = captured_params.at("kernel_size").ai[1]; op->params["11"] = captured_params.at("kernel_size").ai[0]; op->params["2"] = captured_params.at("dilation").ai[1]; op->params["12"] = captured_params.at("dilation").ai[0]; op->params["3"] = captured_params.at("stride").ai[1]; op->params["13"] = captured_params.at("stride").ai[0]; op->params["4"] = captured_params.at("padding").ai[1]; op->params["14"] = captured_params.at("padding").ai[0]; op->params["20"] = captured_params.at("output_size").ai[1]; op->params["21"] = captured_params.at("output_size").ai[0]; } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_fold, 20) } // namespace ncnn } // namespace pnnx