model-optimizer/extensions/ops/correlation.py

   1 """
   2  Copyright (c) 2017-2019 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 from math import ceil
  18
  19 # Concat infer : N - number of inputs to concat
  20 #                axis - dimension number for tensors concatenation
  21 import numpy as np
  22
  23 from mo.graph.graph import Node, Graph
  24 from mo.ops.op import Op
  25
  26
  27 class CorrelationOp(Op):
  28     op = 'Correlation'
  29
  30     def __init__(self, graph: Graph, attrs: dict):
  31         mandatory_props = {
  32             'type': __class__.op,
  33             'op': __class__.op,
  34             'in_ports_count': 1,
  35             'out_ports_count': 1,
  36             'infer': CorrelationOp.corr_infer
  37         }
  38         super().__init__(graph, mandatory_props, attrs)
  39
  40     def supported_attrs(self):
  41         return [
  42             'pad',
  43             'kernel_size',
  44             'max_displacement',
  45             'stride_1',
  46             'stride_2',
  47             'single_direction',
  48             'do_abs',
  49             'correlation_type'
  50         ]
  51
  52     @staticmethod
  53     def corr_infer(node: Node):
  54         outn = node.out_node(0)
  55         inn = node.in_node(0)
  56
  57         outn.shape = np.zeros(4, dtype=int)
  58         outn.shape[0] = inn.shape[0]
  59
  60         bottomchannels = inn.shape[1]
  61
  62         paddedbottomheight = inn.shape[2]
  63         paddedbottomwidth = inn.shape[3] + 2 * node.pad
  64
  65         kernel_radius_ = (node.kernel_size - 1) / 2;
  66         border_size_ = node.max_displacement + kernel_radius_
  67
  68         outn.shape[3] = ceil((float)(paddedbottomwidth - border_size_ * 2) / node.stride_1)
  69         outn.shape[2] = ceil((float)(paddedbottomheight - kernel_radius_ * 2) / node.stride_1)
  70
  71         neighborhood_grid_radius_ = node.max_displacement / node.stride_2
  72
  73         if node.single_direction != 0:
  74             neighborhood_grid_width_ = neighborhood_grid_radius_ + 1
  75         else:
  76             neighborhood_grid_width_ = neighborhood_grid_radius_ * 2 + 1
  77
  78         outn.shape[1] = neighborhood_grid_width_ * neighborhood_grid_width_