// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2021 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_interpolate : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.interpolate op_0 1 1 input out mode=%mode recompute_scale_factor=* scale_factor=%scale_factor pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Interp"; } const char* name_str() const { return "interpolate"; } void write(Operator* op, const std::map& captured_params) const { const std::string& mode = captured_params.at("mode").s; std::vector scale_factor; if (captured_params.at("scale_factor").type == 3) { scale_factor.push_back(captured_params.at("scale_factor").f); } else { scale_factor = captured_params.at("scale_factor").af; } if (mode == "nearest") op->params["0"] = 1; if (mode == "bilinear" || mode == "linear") op->params["0"] = 2; if (mode == "bicubic") op->params["0"] = 3; if (scale_factor.size() == 1) { op->params["1"] = 1.f; op->params["2"] = scale_factor[0]; } else if (scale_factor.size() == 2) { op->params["1"] = scale_factor[0]; op->params["2"] = scale_factor[1]; } else { fprintf(stderr, "unsupported interpolate scale_factor\n"); } op->params["6"] = 0; // align_corners } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_interpolate, 20) class F_interpolate_1 : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.interpolate op_0 1 1 input out align_corners=%align_corners mode=%mode recompute_scale_factor=* scale_factor=%scale_factor pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Interp"; } const char* name_str() const { return "interpolate"; } void write(Operator* op, const std::map& captured_params) const { const std::string& mode = captured_params.at("mode").s; std::vector scale_factor; if (captured_params.at("scale_factor").type == 3) { scale_factor.push_back(captured_params.at("scale_factor").f); } else { scale_factor = captured_params.at("scale_factor").af; } if (mode == "nearest") op->params["0"] = 1; if (mode == "bilinear" || mode == "linear") op->params["0"] = 2; if (mode == "bicubic") op->params["0"] = 3; if (scale_factor.size() == 1) { op->params["1"] = 1.f; op->params["2"] = scale_factor[0]; } else if (scale_factor.size() == 2) { op->params["1"] = scale_factor[0]; op->params["2"] = scale_factor[1]; } else { fprintf(stderr, "unsupported interpolate scale_factor\n"); } op->params["6"] = captured_params.at("align_corners").b ? 1 : 0; } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_interpolate_1, 20) } // namespace ncnn } // namespace pnnx