text: /**
   * Copyright 2020 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_matmul_parser.h"
  #include <string>
  #include <memory>
  #include <map>
  #include <vector>
  #include "tools/converter/parser/tf/tf_node_parser_registry.h"
  #include "ops/fusion/mat_mul_fusion.h"
  
  namespace mindspore {
  namespace lite {
  PrimitiveCPtr TFMatMulParser::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::MatMulFusion>();
    MS_CHECK_TRUE_RET(prim != nullptr, nullptr);
    tensorflow::AttrValue attr_value;
    if (TensorFlowUtils::FindAttrValue(tf_op, "transpose_a", &attr_value)) {
      prim->set_transpose_a(attr_value.b());
    }
    if (TensorFlowUtils::FindAttrValue(tf_op, "transpose_b", &attr_value)) {
      prim->set_transpose_b(attr_value.b());
    }
    prim->set_activation_type(mindspore::NO_ACTIVATION);
  
    *output_size = 1;
    if (AddOpInput(tf_op, 0, inputs) != RET_OK || AddOpInput(tf_op, 1, inputs) != RET_OK) {
      MS_LOG(ERROR) << "add op input failed";
      return nullptr;
    }
  
    return prim->GetPrim();
  }
  
  TFNodeRegistrar g_tfMatMulParser("MatMul", new TFMatMulParser());
  }  // namespace lite
  }  // namespace mindspore
  