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 "itt.hpp"
  
  #include "ngraph/op/abs.hpp"
  #include "ngraph/op/multiply.hpp"
  #include "ngraph/op/sign.hpp"
  
  #include "ngraph/runtime/host_tensor.hpp"
  #include "ngraph/runtime/reference/abs.hpp"
  
  using namespace std;
  using namespace ngraph;
  
  constexpr NodeTypeInfo op::Abs::type_info;
  
  op::Abs::Abs(const Output<Node>& arg)
      : UnaryElementwiseArithmetic(arg)
  {
      constructor_validate_and_infer_types();
  }
  
  shared_ptr<Node> op::Abs::clone_with_new_inputs(const OutputVector& new_args) const
  {
      check_new_args_count(this, new_args);
      return make_shared<Abs>(new_args.at(0));
  }
  
  namespace absop
  {
      template <element::Type_t ET>
      inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count)
      {
          using T = typename element_type_traits<ET>::value_type;
          runtime::reference::abs<T>((arg0->get_data_ptr<ET>()), (out->get_data_ptr<ET>()), count);
          return true;
      }
  
      bool evaluate_abs(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count)
      {
          bool rc = true;
          out->set_unary(arg0);
  
          switch (arg0->get_element_type())
          {
              TYPE_CASE(boolean)(arg0, out, count);
              break;
              TYPE_CASE(i32)(arg0, out, count);
              break;
              TYPE_CASE(i64)(arg0, out, count);
              break;
              TYPE_CASE(u32)(arg0, out, count);
              break;
              TYPE_CASE(u64)(arg0, out, count);
              break;
              TYPE_CASE(f16)(arg0, out, count);
              break;
              TYPE_CASE(f32)(arg0, out, count);
              break;
              TYPE_CASE(bf16)(arg0, out, count);
              break;
          default: rc = false; break;
          }
          return rc;
      }
  }
  
  bool op::Abs::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const
  {
      OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::Abs::evaluate");
      return absop::evaluate_abs(inputs[0], outputs[0], shape_size(get_output_shape(0)));
  }
  