code: def __init__(self, regular_filter, cuda=True):
      super(Conv2dDeformable, self).__init__()
      if not isinstance(regular_filter, nn.Conv2d):
          raise AssertionError
      self.regular_filter = regular_filter
      self.offset_filter = nn.Conv2d(
          regular_filter.in_channels,
          2 * regular_filter.in_channels,
          kernel_size=3,
          padding=1,
          bias=False,
      )
      self.offset_filter.weight.data.normal_(0, 0.0005)
      self.input_shape = None
      self.grid_w = None
      self.grid_h = None
      self.cuda = cuda
  
imports: import os
  from math import ceil
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 to create a new Conv2dDeformable object from inherited base classes: nn with example: obj = Conv2dDeformable(regular_filter, cuda)