model-optimizer/extensions/middle/RemoveRedundantReshapeAfterCropAndResize.py

   1 """
   2  Copyright (c) 2019 Intel Corporation
   3
   4  Licensed under the Apache License, Version 2.0 (the "License");
   5  you may not use this file except in compliance with the License.
   6  You may obtain a copy of the License at
   7
   8       http://www.apache.org/licenses/LICENSE-2.0
   9
  10  Unless required by applicable law or agreed to in writing, software
  11  distributed under the License is distributed on an "AS IS" BASIS,
  12  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  See the License for the specific language governing permissions and
  14  limitations under the License.
  15 """
  16
  17 import logging as log
  18
  19 import numpy as np
  20
  21 from mo.graph.graph import Graph
  22 from mo.middle.replacement import MiddleReplacementPattern
  23
  24
  25 class RemoveRedundantReshapeAfterCropAndResize(MiddleReplacementPattern):
  26     enabled = True
  27     force_clean_up = True
  28
  29     def run_after(self):
  30         from extensions.middle.pass_separator import MiddleFinish
  31         return [MiddleFinish]
  32
  33     def run_before(self):
  34         return []
  35
  36     def pattern(self):
  37         return dict(
  38             nodes=[
  39                 ('crop_and_resize', dict(kind='op', op='CropAndResize')),
  40                 ('crop_and_resize_data', dict(kind='data')),
  41                 ('reshape_1', dict(kind='op', op='Reshape')),
  42                 ('reshape_1_data', dict(kind='data')),
  43                 ('reshape_2', dict(kind='op', op='Reshape')),
  44             ],
  45             edges=[
  46                 ('crop_and_resize', 'crop_and_resize_data'),
  47                 ('crop_and_resize_data', 'reshape_1'),
  48                 ('reshape_1', 'reshape_1_data'),
  49                 ('reshape_1_data', 'reshape_2'),
  50             ]
  51         )
  52
  53     def replace_pattern(self, graph: Graph, match: dict):
  54         car_node = match['crop_and_resize']
  55         reshape_2_node = match['reshape_2']
  56
  57         shape_1 = match['crop_and_resize_data'].shape
  58         shape_2 = match['reshape_2'].out_node().shape
  59         if not np.all(shape_1 == shape_2):
  60             log.debug('Cannot remove reshape operations after CropAndResize due to different shapes: {} vs {}'.format(
  61                 shape_1, shape_2
  62             ))
  63             return
  64
  65         car_node.out_port(0).disconnect()
  66         consumer_port_node = reshape_2_node.out_port(0).get_connection().get_destination()
  67         consumer_port_node.disconnect()
  68         car_node.out_port(0).connect(consumer_port_node)