code: def _is_dynamic_shape(
      tensors: Union[
          List[type_alias.TensorLike],
          Tuple[Any, tf.sparse.SparseTensor],
      ]
  ):
      """Helper function to test if any tensor in a list has a dynamic shape.
  
      Args:
        tensors: A list or tuple of tensors with shapes to test.
  
      Returns:
        True if any tensor in the list has a dynamic shape, False otherwise.
      """
      if not isinstance(tensors, (list, tuple)):
          raise ValueError("'tensors' must be list of tuple.")
      return not all(
          [shape.is_static(tensor.shape) for tensor in tensors]
      )
  
file_path: graphics/tensorflow_graphics/geometry/convolution/utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Any, List, Optional, Tuple, Union
  import tensorflow
  from tensorflow_graphics.util import shape
  from tensorflow_graphics.util import type_alias
label_desc: Use image node_id 1 for calling a global function with example usage: _is_dynamic_shape(tensors) and returns: unknown