code: def l2_loss(x: TensorType) -> TensorType:
      """Computes half the L2 norm over a tensor's values without the sqrt.
  
      output = 0.5 * sum(x ** 2)
  
      Args:
          x: The input tensor.
  
      Returns:
          0.5 times the L2 norm over the given tensor's values (w/o sqrt).
      """
      return 0.5 * tf.reduce_sum(tf.pow(x, 2.0))
  
imports: import logging
  from typing import Any, Callable, List, Optional, Type, TYPE_CHECKING, Union
  import gymnasium
  import numpy
  import tree
  from gymnasium.spaces import Discrete, MultiDiscrete
  from ray.rllib.utils.annotations import PublicAPI, DeveloperAPI
  from ray.rllib.utils.framework import try_import_tf
  from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space
  from ray.rllib.utils.typing import LocalOptimizer, ModelGradients, PartialAlgorithmConfigDict, SpaceStruct, TensorStructType, TensorType
label_desc: Use image node_id 8 for calling a global function with example usage: l2_loss(x) and returns: unknown