code: def deformable_conv2d_nhwc_python(
      a_np,
      offset_np,
      w_np,
      stride,
      padding,
      dilation,
      deformable_groups,
      groups,
  ):
      """Deformable convolution operator in NHWC layout.
  
      Parameters
      ----------
      a_np : numpy.ndarray
          4-D with shape [batch, in_height, in_width, in_channel]
  
      offset_np : numpy.ndarray
          4-D with shape [batch, out_height, out_width,
                          deformable_groups * filter_height * filter_width * 2]
  
      w_np : numpy.ndarray
          4-D with shape [filter_height, filter_width, in_channel, num_filter]
  
      stride : int or a list/tuple of two ints
          Stride size, or [stride_height, stride_width]
  
      padding : int or str or a list/tuple of 2 or 4 ints
          Padding size, or ['VALID', 'SAME'], or
          [pad_height, pad_width] for 2 ints, or
          [pad_top, pad_left, pad_bottom, pad_right] for 2 ints
  
      dilation : int or a list/tuple of two ints
          Dilation size, or [dilate_height, dilate_width]
  
      deformable_groups : int
          Number of deformable groups
  
      groups : int
          Number of groups
  
      Returns
      -------
      b_np : np.ndarray
          4-D with shape [batch, out_channel, out_height, out_width]
      """
      a_np = np.transpose(a_np, [0, 3, 1, 2])  # NHWC -> NCHW
      offset_np = np.transpose(offset_np, [0, 3, 1, 2])  # NHWC -> NCHW
      w_np = np.transpose(w_np, [3, 2, 0, 1])  # HWIO -> OIHW
      b_np = deformable_conv2d_nchw_python(
          a_np,
          offset_np,
          w_np,
          stride,
          padding,
          dilation,
          deformable_groups,
          groups,
      )
      b_np = np.transpose(b_np, [0, 2, 3, 1])  # NCHW -> NHWC
      return b_np
  
imports: import itertools
  import math
  import numpy
  from tvm.topi.nn.utils import get_pad_tuple
label_desc: Use image node_id 2 for calling a global function with example usage: deformable_conv2d_nhwc_python(a_np, offset_np, w_np, stride, padding, dilation, deformable_groups, groups) and returns: b_np