text: // 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 torch_amax : public GraphRewriterPass
  {
  public:
      const char* match_pattern_graph() const
      {
          return R"PNNXIR(7767517
  3 2
  pnnx.Input              input       0 1 input
  torch.amax              op_0        1 1 input out dim=%dim keepdim=%keepdim
  pnnx.Output             output      1 0 out
  )PNNXIR";
      }
  
      const char* type_str() const
      {
          return "Reduction";
      }
  
      const char* name_str() const
      {
          return "amax";
      }
  
      void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const
      {
          const std::vector<int>& dims = captured_params.at("dim").ai;
  
          const int batch_index = op->inputs[0]->params["__batch_index"].i;
  
          // drop batch index
          std::vector<int> new_dims;
          for (int i = 0; i < (int)dims.size(); i++)
          {
              if (dims[i] == batch_index)
                  continue;
  
              int new_dim = dims[i] > batch_index ? dims[i] - 1 : dims[i];
              new_dims.push_back(new_dim);
          }
  
          op->params["0"] = 4;
          op->params["1"] = 0;
          op->params["3"] = new_dims;
          op->params["4"] = captured_params.at("keepdim").b ? 1 : 0;
          op->params["5"] = 1;
      }
  };
  
  REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(torch_amax, 20)
  
  } // namespace ncnn
  
  } // namespace pnnx
  