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 = array_ops.shape(args[0])
      for arg in args[1:]:
          sh = array_ops.broadcast_dynamic_shape(
              sh, array_ops.shape(arg)
          )
      return [array_ops.broadcast_to(arg, sh) for arg in args]
  
imports: import inspect
  import numbers
  import os
  import re
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_dtypes
  from tensorflow.python.types import core
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_export
label_desc: Use image node_id 29 for calling a global function with example usage: tf_broadcast() and returns: unknown, args