// 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_max_pool1d : public GraphRewriterPass { public: const char* match_pattern_graph() const { return R"PNNXIR(7767517 3 2 pnnx.Input input 0 1 input F.max_pool1d op_0 1 1 input out kernel_size=%kernel_size stride=%stride dilation=(1) padding=%padding ceil_mode=%ceil_mode return_indices=False pnnx.Output output 1 0 out )PNNXIR"; } const char* type_str() const { return "Pooling1D"; } const char* name_str() const { return "maxpool1d"; } void write(Operator* op, const std::map& captured_params) const { std::vector stride; if (captured_params.at("stride").type == 0) { stride = captured_params.at("kernel_size").ai; } else { stride = captured_params.at("stride").ai; } op->params["0"] = 0; op->params["1"] = captured_params.at("kernel_size").ai[0]; op->params["2"] = stride[0]; op->params["3"] = captured_params.at("padding").ai[0]; op->params["5"] = captured_params.at("ceil_mode").b ? 0 : 1; } }; REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_max_pool1d, 20) } // namespace ncnn } // namespace pnnx