text: """
   Copyright (C) 2018-2020 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.
  """
  
  import logging as log
  
  import numpy as np
  
  from extensions.ops.Cast import Cast
  from extensions.ops.elementwise import Div
  from extensions.ops.interpolate import Interpolate
  from mo.front.common.layout import get_height_dim, get_width_dim
  from mo.front.common.partial_infer.utils import int64_array
  from mo.front.common.replacement import FrontReplacementOp
  from mo.front.tf.graph_utils import create_op_with_const_inputs
  from mo.graph.graph import Graph, Node, rename_nodes
  from mo.ops.shape import Shape
  from mo.ops.strided_slice import StridedSlice
  
  
  def replace_tf_resize(graph: Graph, resize: Node, interpolation_mode: str):
      resize_name = resize.soft_get('name', resize.id)
      log.debug("Converting of {} to Interpolate-4 is triggered for node {}.".format(resize.op, resize_name))
  
      num_of_inputs = len([port for port in resize.in_ports().values() if not port.disconnected()])
      assert num_of_inputs == 2, \
          "Number of inputs of {} (with name {}) should be equal to 2".format(resize.op, resize_name)
  
      attrs_msg = "If half_pixel_centers attribute of the node {} with op {} is True, " \
                  "the attribute align_corners must be False"
      assert not resize.half_pixel_centers or (resize.half_pixel_centers and not resize.align_corners), \
          attrs_msg.format(resize_name, resize.op)
  
      shape = Shape(graph, {'name': resize_name + '/shapeof'}).create_node()
  
      layout = graph.graph['layout']
      height_dim = get_height_dim(layout, 4)
      width_dim = get_width_dim(layout, 4)
  
      ss = create_op_with_const_inputs(graph, StridedSlice,
                                       {1: int64_array([height_dim]),
                                        2: int64_array([width_dim + 1]),
                                        3: int64_array([1])
                                        },
                                       {'name': resize_name + '/StridedSlice',
                                        'begin_mask': int64_array([1]),
                                        'end_mask': int64_array([1]),
                                        'new_axis_mask': int64_array([0]),
                                        'shrink_axis_mask': int64_array([0]),
                                        'ellipsis_mask': int64_array([0])
                                        })
  
      div_node = Div(graph, {'name': resize_name + '/Div'}).create_node()
  
      shape_to_float = Cast(graph, dict(dst_type=np.float32)).create_node()
      size_to_float = Cast(graph, dict(dst_type=np.float32)).create_node()
  
      size_to_float.out_port(0).connect(div_node.in_port(0))
      shape_to_float.out_port(0).connect(div_node.in_port(1))
      ss.out_port(0).connect(shape_to_float.in_port(0))
      shape.out_port(0).connect(ss.in_port(0))
  
      align_corners = resize.align_corners
      half_pixel_centers = resize.half_pixel_centers
  
      nearest_mode = 'floor' if interpolation_mode == 'nearest' else 'round_prefer_floor'
      if align_corners:
          coordinate_transformation_mode = 'align_corners'
          if interpolation_mode == 'nearest':
              nearest_mode = 'round_prefer_ceil'
      elif half_pixel_centers:
          coordinate_transformation_mode = 'tf_half_pixel_for_nn' if interpolation_mode == 'nearest' else 'half_pixel'
      else:
          coordinate_transformation_mode = 'asymmetric'
  
      interpolate4 = create_op_with_const_inputs(graph, Interpolate,
                                                 {
                                                     3: int64_array([height_dim, width_dim])
                                                 },
                                                 {
                                                     'name': resize_name + '/interpolate_4',
                                                     'mode': interpolation_mode,
                                                     'antialias': False,
                                                     'coordinate_transformation_mode': coordinate_transformation_mode,
                                                     'pads_begin': int64_array([0]),
                                                     'pads_end': int64_array([0]),
                                                     'nearest_mode': nearest_mode,
                                                     'cube_coeff': -0.75,
                                                     'shape_calculation_mode': 'sizes',
                                                     'version': 'opset4',
                                                     'in_ports_count': 4,
                                                 })
  
      resize_input_connection = resize.in_port(0).get_connection()
      resize_input_connection.set_destination(interpolate4.in_port(0))
      resize_input_connection.get_source().connect(shape.in_port(0))
  
      div_node.out_port(0).connect(interpolate4.in_port(2))
  
      sizes_connection = resize.in_port(1).get_connection()
      sizes_connection.set_destination(interpolate4.in_port(1))
      sizes_connection.get_source().connect(size_to_float.in_port(0))
  
      resize.out_port(0).get_connection().set_source(interpolate4.out_port(0))
      rename_nodes([(resize, resize_name + '/delete'), (interpolate4, resize_name)])
  
  
  class TFResizeToInterpolate(FrontReplacementOp):
      """
      The transformation replaces TFResize with Interpolate-4.
      """
      op = 'TFResize'
      enabled = True
  
      def run_after(self):
          from extensions.front.InterpolateNormalizer import InterpolateNormalizer
          return [InterpolateNormalizer]
  
      def replace_sub_graph(self, graph: Graph, match: dict):
          resize = match['op']
          replace_tf_resize(graph, resize, resize.mode)
  