code: def is_normalized(
      axis: type_alias.TensorLike,
      angle: type_alias.TensorLike,
      atol: float = 1e-3,
      name: str = "axis_angle_is_normalized",
  ) -> tf.Tensor:
      """Determines if the axis-angle is normalized or not.
  
      Note:
        In the following, A1 to An are optional batch dimensions.
  
      Args:
        axis: A tensor of shape `[A1, ..., An, 3]`, where the last dimension
          represents a normalized axis.
        angle: A tensor of shape `[A1, ..., An, 1]` where the last dimension
          represents an angle.
        atol: The absolute tolerance parameter.
        name: A name for this op that defaults to "axis_angle_is_normalized".
  
      Returns:
        A tensor of shape `[A1, ..., An, 1]`, where False indicates that the axis is
        not normalized.
      """
      with tf.name_scope(name):
          axis = tf.convert_to_tensor(value=axis)
          angle = tf.convert_to_tensor(value=angle)
  
          shape.check_static(
              tensor=axis, tensor_name="axis", has_dim_equals=(-1, 3)
          )
          shape.check_static(
              tensor=angle, tensor_name="angle", has_dim_equals=(-1, 1)
          )
          shape.compare_batch_dimensions(
              tensors=(axis, angle),
              tensor_names=("axis", "angle"),
              last_axes=-2,
              broadcast_compatible=True,
          )
  
          norms = tf.norm(tensor=axis, axis=-1, keepdims=True)
          return tf.abs(norms - 1.0) < atol
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Tuple
  import tensorflow
  from tensorflow_graphics.geometry.transformation import quaternion
  from tensorflow_graphics.geometry.transformation import rotation_matrix_3d
  from tensorflow_graphics.math import vector
  from tensorflow_graphics.util import asserts
  from tensorflow_graphics.util import export_api
  from tensorflow_graphics.util import safe_ops
  from tensorflow_graphics.util import shape
  from tensorflow_graphics.util import type_alias
label_desc: Use image node_id 6 for calling a global function with example usage: is_normalized(axis, angle, atol, name) and returns: unknown