code: def _convert_to_spatial_operand(
      x,
      num_spatial_dims,
      data_format="channels_last",
      include_batch_and_channels=True,
  ):
      # Helper function that converts an operand to a spatial operand.
      x = (x,) * num_spatial_dims if isinstance(x, int) else x
      if not include_batch_and_channels:
          return x
      if data_format == "channels_last":
          x = (1,) + x + (1,)
      else:
          x = (1,) + (1,) + x
      return x
  
imports: import jax
  import jax.numpy
  import numpy
  from jax import lax
  from jax import nn
  from keras.backend import standardize_data_format
  from keras.backend import standardize_dtype
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_jax
  from keras.backend.config import epsilon
  from keras.backend.jax.core import cast
  from keras.backend.jax.core import convert_to_tensor
label_desc: Use image node_id 17 for calling a global function with example usage: _convert_to_spatial_operand(x, num_spatial_dims, data_format, include_batch_and_channels) and returns: x, x