code: def unstack(x, num=None, axis=0):
      """Unpacks the given dimension of a rank-R tensor into rank-(R-1) tensors.
  
      Args:
          x: The input tensor.
          num: The length of the dimension axis. Automatically inferred
              if `None`.
          axis: The axis along which to unpack.
  
      Returns:
          A list of tensors unpacked along the given axis.
  
      Example:
  
      >>> x = keras.ops.array([[1, 2], [3, 4]])
      >>> keras.ops.unstack(x, axis=0)
      [array([1, 2]), array([3, 4])]
      """
      if any_symbolic_tensors((x,)):
          return Unstack(num, axis).symbolic_call(x)
      return backend.core.unstack(x, num=num, axis=axis)
  
imports: import numpy
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend import KerasTensor
  from keras.backend import any_symbolic_tensors
  from keras.ops.operation import Operation
  from keras.utils import traceback_utils
label_desc: Use image node_id 8 for calling a global function with example usage: unstack(x, num, axis) and returns: backend, Unstack