code: def tf_broadcast(*args):
      """Broadcast tensors.
  
      Args:
        *args: a list of tensors whose shapes are broadcastable against each other.
  
      Returns:
        Tensors broadcasted to the common shape.
      """
      if len(args) <= 1:
          return args
      sh = tf.shape(args[0])
      for arg in args[1:]:
          sh = tf.broadcast_dynamic_shape(sh, tf.shape(arg))
      return [tf.broadcast_to(arg, sh) for arg in args]
  
imports: import funcsigs
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 16 for calling a global function with example usage: tf_broadcast() and returns: unknown, args