text: # Copyright (C) 2018-2021 Intel Corporation
  # SPDX-License-Identifier: Apache-2.0
  
  import unittest
  
  import numpy as np
  
  from openvino.tools.mo.middle.CutInputHavingZeroDimFromConcat import CutInputHavingZeroDimFromConcat
  from openvino.tools.mo.front.common.partial_infer.utils import int64_array
  from openvino.tools.mo.utils.ir_engine.compare_graphs import compare_graphs
  from unit_tests.utils.graph import build_graph
  
  node_attrs_for_the_case_when_there_are_no_zero_shape_constants = {
      'const0': {
          'kind': 'op',
          'type': 'Const',
          'op': 'Const',
          'shape': int64_array([1, 2, 5]),
          'value': np.zeros((1, 2, 5))
      },
      'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
      'const1': {
          'kind': 'op',
          'type': 'Const',
          'op': 'Const',
          'shape': int64_array([1, 2, 7]),
          'value': np.zeros((1, 2, 7))
      },
      'const1_data': {'kind': 'data', 'shape': int64_array([1, 2, 7]), 'value': None},
      'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
      'placeholder_data': {
          'kind': 'data',
          'value': None,
          'shape': int64_array([1, 2, 8]),
          'data_type': None
      },
      'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
      'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 20]), 'value': None},
      'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
  }
  
  
  edges_for_the_case_when_there_are_no_zero_shape_constants = [
      ('const0', 'const0_data'),
      ('const1', 'const1_data'),
      ('placeholder', 'placeholder_data'),
      ('const0_data', 'concat', {'in': 0}),
      ('const1_data', 'concat', {'in': 1}),
      ('placeholder_data', 'concat', {'in': 2}),
      ('concat', 'concat_data'),
      ('concat_data', 'output')
  ]
  
  
  class CutInputHavingZeroDimFromConcatTest(unittest.TestCase):
      """
      This class tests deleting of inputs of Concat having zeros in their shapes, if not all inputs have such shapes.
      """
      def test_when_need_to_do_nothing(self):
          graph = build_graph(
              nodes_attrs=node_attrs_for_the_case_when_there_are_no_zero_shape_constants,
              edges=edges_for_the_case_when_there_are_no_zero_shape_constants
          )
          ref_graph = build_graph(
              nodes_attrs=node_attrs_for_the_case_when_there_are_no_zero_shape_constants,
              edges=edges_for_the_case_when_there_are_no_zero_shape_constants
          )
          CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
          (flag, resp) = compare_graphs(graph, ref_graph, 'output')
          self.assertTrue(flag, resp)
  
      def test_when_there_are_three_inputs_and_middle_constant_has_zero_in_shape(self):
          graph = build_graph(
              nodes_attrs={
                  'const0': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([1, 2, 5]),
                      'value': np.zeros((1, 2, 5))
                  },
                  'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
                  'const1': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([1, 2, 0]),
                      'value': np.zeros((1, 2, 0))
                  },
                  'const1_data': {'kind': 'data', 'shape': int64_array([1, 2, 0]), 'value': None},
                  'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
                  'placeholder_data': {
                      'kind': 'data',
                      'value': None,
                      'shape': int64_array([1, 2, 17]),
                      'data_type': None
                  },
                  'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
                  'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 22]), 'value': None},
                  'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
              },
              edges=[
                  ('const0', 'const0_data'),
                  ('const1', 'const1_data'),
                  ('placeholder', 'placeholder_data'),
                  ('const0_data', 'concat', {'in': 0}),
                  ('const1_data', 'concat', {'in': 1}),
                  ('placeholder_data', 'concat', {'in': 2}),
                  ('concat', 'concat_data'),
                  ('concat_data', 'output')
              ]
          )
          ref_graph = build_graph(
              nodes_attrs={
                  'const0': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([1, 2, 5]),
                      'value': np.zeros((1, 2, 5))
                  },
                  'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
                  'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
                  'placeholder_data': {
                      'kind': 'data',
                      'value': None,
                      'shape': int64_array([1, 2, 17]),
                      'data_type': None
                  },
                  'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
                  'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 22]), 'value': None},
                  'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
              },
              edges=[
                  ('const0', 'const0_data'),
                  ('placeholder', 'placeholder_data'),
                  ('const0_data', 'concat', {'in': 0}),
                  ('placeholder_data', 'concat', {'in': 1}),
                  ('concat', 'concat_data'),
                  ('concat_data', 'output')
              ]
          )
          CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
          (flag, resp) = compare_graphs(graph, ref_graph, 'output')
          self.assertTrue(flag, resp)
  
      def test_there_are_four_inputs_and_first_and_third_input_have_zero_in_their_shapes(self):
          graph = build_graph(
              nodes_attrs={
                  'const0': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([5, 0]),
                      'value': np.zeros((5, 0))
                  },
                  'const0_data': {'kind': 'data', 'shape': int64_array([5, 0]), 'value': None},
                  'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
                  'placeholder_data': {
                      'kind': 'data',
                      'value': None,
                      'shape': int64_array([5, 17]),
                      'data_type': None
                  },
                  'const2': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([5, 0]),
                      'value': np.zeros((5, 0))
                  },
                  'const2_data': {'kind': 'data', 'shape': int64_array([5, 0]), 'value': None},
                  'const3': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([5, 23]),
                      'value': np.zeros((5, 23))
                  },
                  'const3_data': {'kind': 'data', 'shape': int64_array([5, 23]), 'value': None},
                  'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 1},
                  'concat_data': {'kind': 'data', 'shape': int64_array([5, 40]), 'value': None},
                  'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
              },
              edges=[
                  ('const0', 'const0_data'),
                  ('placeholder', 'placeholder_data'),
                  ('const2', 'const2_data'),
                  ('const3', 'const3_data'),
                  ('const0_data', 'concat', {'in': 0}),
                  ('placeholder_data', 'concat', {'in': 1}),
                  ('const2_data', 'concat', {'in': 2}),
                  ('const3_data', 'concat', {'in': 3}),
                  ('concat', 'concat_data'),
                  ('concat_data', 'output')
              ]
          )
          ref_graph = build_graph(
              nodes_attrs={
                  'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
                  'placeholder_data': {
                      'kind': 'data',
                      'value': None,
                      'shape': int64_array([5, 17]),
                      'data_type': None
                  },
                  'const3': {
                      'kind': 'op',
                      'type': 'Const',
                      'op': 'Const',
                      'shape': int64_array([5, 23]),
                      'value': np.zeros((5, 23))
                  },
                  'const3_data': {'kind': 'data', 'shape': int64_array([5, 23]), 'value': None},
                  'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 1},
                  'concat_data': {'kind': 'data', 'shape': int64_array([5, 40]), 'value': None},
                  'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
              },
              edges=[
                  ('placeholder', 'placeholder_data'),
                  ('const3', 'const3_data'),
                  ('placeholder_data', 'concat', {'in': 0}),
                  ('const3_data', 'concat', {'in': 1}),
                  ('concat', 'concat_data'),
                  ('concat_data', 'output')
              ]
          )
          CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
          (flag, resp) = compare_graphs(graph, ref_graph, 'output')
          self.assertTrue(flag, resp)
  