text: /**
   * Copyright 2021 Huawei Technologies Co., Ltd
   *
   * 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 "tools/converter/parser/tf/tf_argmax_parser.h"
  #include <string>
  #include <memory>
  #include <map>
  #include <vector>
  #include "tools/converter/parser/tf/tf_node_parser_registry.h"
  #include "ops/fusion/arg_max_fusion.h"
  
  namespace mindspore {
  namespace lite {
  ops::PrimitiveC *TFArgMaxParser::Parse(const tensorflow::NodeDef &tf_op,
                                         const std::map<string, const tensorflow::NodeDef *> &tf_node_map,
                                         std::vector<std::string> *inputs, int *output_size) {
    auto prim = std::make_unique<ops::ArgMaxFusion>();
  
    tensorflow::AttrValue attr_value;
    auto axis_node = tf_node_map.at(tf_op.input(tf_op.input_size() - 1));
    if (!TensorFlowUtils::FindAttrValue(*axis_node, "value", &attr_value)) {
      MS_LOG(ERROR) << "The attr value should be specified.";
      return nullptr;
    }
    auto &axis_tensor = attr_value.tensor();
    prim->set_axis(axis_tensor.int_val(0));
    prim->set_out_max_value(false);
  
    *output_size = 1;
    if (AddOpInput(tf_op, 0, inputs) != RET_OK) {
      MS_LOG(ERROR) << "add op input failed";
      return nullptr;
    }
  
    return prim.release();
  }
  TFNodeRegistrar g_tfArgMaxParser("ArgMax", new TFArgMaxParser());
  }  // namespace lite
  }  // namespace mindspore
  