text: //*****************************************************************************
  // Copyright 2017-2020 Intel Corporation
  //
  // 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 "ngraph/op/not_equal.hpp"
  #include "itt.hpp"
  #include "ngraph/runtime/host_tensor.hpp"
  #include "ngraph/runtime/reference/not_equal.hpp"
  
  using namespace std;
  using namespace ngraph;
  
  // ----------------------------------- v0 --------------------------------------
  
  constexpr NodeTypeInfo op::v0::NotEqual::type_info;
  
  op::v0::NotEqual::NotEqual(const Output<Node>& arg0,
                             const Output<Node>& arg1,
                             const AutoBroadcastSpec& auto_broadcast)
      : BinaryElementwiseComparison(arg0, arg1, auto_broadcast)
  {
      constructor_validate_and_infer_types();
  }
  
  shared_ptr<Node> op::v0::NotEqual::clone_with_new_inputs(const OutputVector& new_args) const
  {
      check_new_args_count(this, new_args);
      return make_shared<op::v0::NotEqual>(new_args.at(0), new_args.at(1), this->get_autob());
  }
  
  namespace
  {
      template <element::Type_t ET>
      bool evaluate(const HostTensorPtr& arg0,
                    const HostTensorPtr& arg1,
                    const HostTensorPtr& out,
                    const op::AutoBroadcastSpec& broadcast_spec)
      {
          runtime::reference::not_equal(arg0->get_data_ptr<ET>(),
                                        arg1->get_data_ptr<ET>(),
                                        out->get_data_ptr<element::Type_t::boolean>(),
                                        arg0->get_shape(),
                                        arg1->get_shape(),
                                        broadcast_spec);
          return true;
      }
  
      bool evaluate_not_equal(const HostTensorPtr& arg0,
                              const HostTensorPtr& arg1,
                              const HostTensorPtr& out,
                              const op::AutoBroadcastSpec& broadcast_spec)
      {
          bool rc = true;
          out->set_broadcast(broadcast_spec, arg0, arg1, element::boolean);
          switch (arg0->get_element_type())
          {
              TYPE_CASE(boolean)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(i32)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(i64)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(u32)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(u64)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(f16)(arg0, arg1, out, broadcast_spec);
              break;
              TYPE_CASE(f32)(arg0, arg1, out, broadcast_spec);
              break;
          default: rc = false; break;
          }
          return rc;
      }
  }
  
  bool op::v0::NotEqual::evaluate(const HostTensorVector& outputs,
                                  const HostTensorVector& inputs) const
  {
      OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v0::NotEqual::evaluate");
      return evaluate_not_equal(inputs[0], inputs[1], outputs[0], get_autob());
  }
  
  // ----------------------------------- v1 --------------------------------------
  
  NGRAPH_RTTI_DEFINITION(op::v1::NotEqual, "NotEqual", 1);
  
  op::v1::NotEqual::NotEqual(const Output<Node>& arg0,
                             const Output<Node>& arg1,
                             const AutoBroadcastSpec& auto_broadcast)
      : BinaryElementwiseComparison(arg0, arg1, auto_broadcast)
  {
      constructor_validate_and_infer_types();
  }
  
  shared_ptr<Node> op::v1::NotEqual::clone_with_new_inputs(const OutputVector& new_args) const
  {
      check_new_args_count(this, new_args);
      return make_shared<op::v1::NotEqual>(new_args.at(0), new_args.at(1), this->get_autob());
  }
  
  bool op::v1::NotEqual::evaluate(const HostTensorVector& outputs,
                                  const HostTensorVector& inputs) const
  {
      OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::NotEqual::evaluate");
      return evaluate_not_equal(inputs[0], inputs[1], outputs[0], get_autob());
  }
  