code: def parallel(*layers):
      """Combinator for composing layers in parallel.
  
      The layer resulting from this combinator is often used with the FanOut and
      FanInSum layers.
  
      Args:
        *layers: a sequence of layers, each an (init_fun, apply_fun) pair.
  
      Returns:
        A new layer, meaning an (init_fun, apply_fun) pair, representing the
        parallel composition of the given sequence of layers. In particular, the
        returned layer takes a sequence of inputs and returns a sequence of outputs
        with the same length as the argument `layers`.
      """
      nlayers = len(layers)
      init_funs, apply_funs = zip(*layers)
  
      def init_fun(rng, input_shape):
          rngs = random.split(rng, nlayers)
          return zip(
              *[
                  init(rng, shape)
                  for init, rng, shape in zip(
                      init_funs, rngs, input_shape
                  )
              ]
          )
  
      def apply_fun(params, inputs, **kwargs):
          rng = kwargs.pop("rng", None)
          rngs = (
              random.split(rng, nlayers)
              if rng is not None
              else (None,) * nlayers
          )
          return [
              f(p, x, rng=r, **kwargs)
              for f, p, x, r in zip(apply_funs, params, inputs, rngs)
          ]
  
      return init_fun, apply_fun
  
imports: import functools
  import operator
  from jax import lax
  from jax import random
  import jax.numpy
  from jax.nn import relu, log_softmax, softmax, softplus, sigmoid, elu, leaky_relu, selu, gelu, standardize
  from jax.nn.initializers import glorot_normal, normal, ones, zeros
label_desc: Use image node_id 15 for calling a global function with example usage: parallel() and returns: init_fun,  apply_fun, zip, unknown