// 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_pad : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.pad op_0 1 1 input out pad=%pad mode=constant value=%value pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Padding"; } const char* name_str() const { return "pad"; } bool match(const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; for (int x : pad) { if (x < 0) return false; } return true; } void write(Operator* op, const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; float pad_value = 0.f; if (captured_params.at("value").type == 2) pad_value = captured_params.at("value").i; if (captured_params.at("value").type == 3) pad_value = captured_params.at("value").f; if (pad.size() == 2) { op->params["0"] = 0; op->params["1"] = 0; op->params["2"] = pad[0]; op->params["3"] = pad[1]; } else if (pad.size() >= 4) { op->params["0"] = pad[2]; op->params["1"] = pad[3]; op->params["2"] = pad[0]; op->params["3"] = pad[1]; } if (pad.size() >= 6) { op->params["7"] = pad[4]; op->params["8"] = pad[5]; } op->params["4"] = 0; // constant op->params["5"] = pad_value; op->params["6"] = 0; // per_channel_pad_data_size } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_pad, 20) class F_pad_1 : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.pad op_0 1 1 input out pad=%pad mode=%mode pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Padding"; } const char* name_str() const { return "pad"; } bool match(const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; for (int x : pad) { if (x < 0) return false; } return true; } void write(Operator* op, const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; const std::string& mode = captured_params.at("mode").s; if (pad.size() == 2) { op->params["0"] = 0; op->params["1"] = 0; op->params["2"] = pad[0]; op->params["3"] = pad[1]; } else if (pad.size() >= 4) { op->params["0"] = pad[2]; op->params["1"] = pad[3]; op->params["2"] = pad[0]; op->params["3"] = pad[1]; } if (pad.size() >= 6) { op->params["7"] = pad[4]; op->params["8"] = pad[5]; } if (mode == "constant") op->params["4"] = 0; if (mode == "reflect") op->params["4"] = 2; if (mode == "replicate") op->params["4"] = 1; op->params["5"] = 0; // value op->params["6"] = 0; // per_channel_pad_data_size } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_pad_1, 20) class F_pad_2 : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.pad op_0 1 1 input out pad=%pad mode=constant value=%value pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Crop"; } const char* name_str() const { return "pad"; } bool match(const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; for (int x : pad) { if (x > 0) return false; } return true; } void write(Operator* op, const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; std::vector starts; std::vector ends; std::vector axes; if (pad.size() == 2) { starts = {-pad[0]}; ends = {pad[1]}; axes = {-1}; } else if (pad.size() == 4) { starts = {-pad[2], -pad[0]}; ends = {pad[3], pad[1]}; axes = {-2, -1}; } else if (pad.size() == 6) { starts = {-pad[4], -pad[2], -pad[0]}; ends = {pad[5], pad[3], pad[1]}; axes = {-3, -2, -1}; } op->params["9"] = starts; op->params["10"] = ends; op->params["11"] = axes; } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_pad_2, 20) class F_pad_3 : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.pad op_0 1 1 input out pad=%pad mode=%mode pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Padding"; } const char* name_str() const { return "pad"; } bool match(const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; for (int x : pad) { if (x < 0) return false; } return true; } void write(Operator* op, const std::map& captured_params) const { const std::vector& pad = captured_params.at("pad").ai; std::vector starts; std::vector ends; std::vector axes; if (pad.size() == 2) { starts = {-pad[0]}; ends = {pad[1]}; axes = {-1}; } else if (pad.size() == 4) { starts = {-pad[2], -pad[0]}; ends = {pad[3], pad[1]}; axes = {-2, -1}; } else if (pad.size() == 6) { starts = {-pad[4], -pad[2], -pad[0]}; ends = {pad[5], pad[3], pad[1]}; axes = {-3, -2, -1}; } op->params["9"] = starts; op->params["10"] = ends; op->params["11"] = axes; } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_pad_3, 20) } // namespace ncnn } // namespace pnnx