code: def atrous_conv2d_transpose(
      value, filters, output_shape, rate, padding
  ):
      filters = filters.swapaxes(-2, -1)
      return ivy.conv2d_transpose(
          value,
          filters,
          1,
          padding,
          output_shape=output_shape,
          dilations=[rate] * 2,
      )
  
imports: import ivy
  from ivy.functional.frontends.tensorflow.func_wrapper import to_ivy_arrays_and_back
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.tensorflow import check_tensorflow_casting
label_desc: Use image node_id 5 for calling a global function with example usage: atrous_conv2d_transpose(value, filters, output_shape, rate, padding) and returns: ivy