code: def _ff_xd_before_conv(x, filters, dims, filter_format, x_dilations):
      if filter_format == "channel_first":
          filters = np.transpose(filters, (*range(2, dims + 2), 1, 0))
  
      x_dilations = (
          [x_dilations] * dims
          if isinstance(x_dilations, int)
          else x_dilations
      )
  
      for j in range(dims):
          if x_dilations[j] > 1:
              x = _add_dilations(x, x_dilations[j], axis=j + 1)
      return x, filters
  
file_path: ivy/ivy/functional/backends/numpy/layers.py
imports: import numpy
  from typing import Union, Tuple, Optional, Sequence
  import ivy
  from ivy.functional.ivy.layers import _handle_padding, _deconv_length, _get_x_data_format
label_desc: Use image node_id 4 for calling a global function with example usage: _ff_xd_before_conv(x, filters, dims, filter_format, x_dilations) and returns: x,  filters