text: // Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     http://www.apache.org/licenses/LICENSE-2.0
  //
  // 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 <memory>
  #include <string>
  #include "lite/backends/xpu/math.h"
  #include "lite/core/mir/pass_registry.h"
  #include "lite/core/mir/pattern_matcher_high_api.h"
  
  namespace paddle {
  namespace lite {
  namespace mir {
  namespace fusion {
  
  class XPUSoftmaxTopkFuser : public FuseBase {
   public:
    void BuildPattern() override {
      auto* input =
          VarNode("input")->assert_is_op_input("softmax", "X")->AsInput();
      auto* softmax = OpNode("softmax", "softmax")
                          ->assert_op_attr<int>("axis", -1)
                          ->AsIntermediate();
      auto* softmax_out = VarNode("softmax_out")
                              ->assert_is_op_output("softmax", "Out")
                              ->assert_is_op_input("top_k", "X")
                              ->AsIntermediate();
      auto* top_k = OpNode("top_k", "top_k")->AsIntermediate();
      auto* indices =
          VarNode("indices")->assert_is_op_output("top_k", "Indices")->AsOutput();
      auto* out = VarNode("out")->assert_is_op_output("top_k", "Out")->AsOutput();
  
      *input >> *softmax >> *softmax_out >> *top_k;
      *top_k >> *indices;
      *top_k >> *out;
    }
  
    void InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) override {
      cpp::OpDesc op_desc;
      op_desc.SetType("__xpu__softmax_topk");
      op_desc.SetInput("X", {matched.at("input")->arg()->name});
      op_desc.SetOutput("Out", {matched.at("out")->arg()->name});
      op_desc.SetOutput("Indices", {matched.at("indices")->arg()->name});
      int axis = matched.at("softmax")->stmt()->op_info()->GetAttr<int>("axis");
      int k = matched.at("top_k")->stmt()->op_info()->GetAttr<int>("k");
      op_desc.SetAttr("axis", axis);
      op_desc.SetAttr("k", k);
  
      auto softmax = matched.at("softmax")->stmt()->op();
      auto* scope = softmax->scope();
      auto& valid_places = softmax->valid_places();
      auto new_op = LiteOpRegistry::Global().Create(op_desc.Type());
      new_op->Attach(op_desc, scope);
      auto* new_op_node = graph->GraphCreateInstructNode(new_op, valid_places);
  
      IR_NODE_LINK_TO(matched.at("input"), new_op_node);
      IR_NODE_LINK_TO(new_op_node, matched.at("out"));
      IR_NODE_LINK_TO(new_op_node, matched.at("indices"));
    }
  };
  
  }  // namespace fusion
  
  class XPUSoftmaxTopkFusePass : public ProgramPass {
   public:
    void Apply(const std::unique_ptr<SSAGraph>& graph) override {
      fusion::XPUSoftmaxTopkFuser fuser;
      fuser(graph.get());
    }
  };
  
  }  // namespace mir
  }  // namespace lite
  }  // namespace paddle
  
  REGISTER_MIR_PASS(__xpu__softmax_topk_fuse_pass,
                    paddle::lite::mir::XPUSoftmaxTopkFusePass)
      .BindTargets({TARGET(kXPU)})
      .BindKernel("__xpu__softmax_topk");
  