code: def Deinterleave(x_size, y_size):
      """Layer that does the inverse of Interleave."""
  
      def deinterleave(inputs):
          reprs = inputs
          (batch_size, length) = reprs.shape[:2]
          shape_suffix = reprs.shape[2:]
          remainder_length = length % (x_size + y_size)
          if remainder_length > 0:
              remainder = reprs[:, None, -remainder_length:]
              reprs = reprs[:, :-remainder_length]
          reprs = jnp.reshape(
              reprs, (batch_size, -1, x_size + y_size) + shape_suffix
          )
          x_reprs = reprs[:, :, :x_size]
          y_reprs = reprs[:, :, x_size:]
          if remainder_length > 0:
              x_reprs = jnp.concatenate((x_reprs, remainder), axis=1)
          return (x_reprs, y_reprs)
  
      return tl.Fn("Deinterleave", deinterleave, n_out=2)
  
imports: import functools
  import gym
  import numpy
  from trax import layers
  from trax.fastmath import numpy
  from trax.rl import space_serializer
label_desc: Use image node_id 3 for calling a global function with example usage: Deinterleave(x_size, y_size) and returns: tl, x_reprs,  y_reprs