code: def L2(tensor, wd=0.001):
      """L2.
  
      Computes half the L2 norm of a tensor without the `sqrt`:
  
        output = sum(t ** 2) / 2 * wd
  
      Arguments:
          tensor: `Tensor`. The tensor to apply regularization.
          wd: `float`. The decay.
  
      Returns:
          The regularization `Tensor`.
  
      """
      return tf.multiply(tf.nn.l2_loss(tensor), wd, name="L2-Loss")
  
imports: from __future__ import division, print_function, absolute_import
  import tensorflow.compat.v1
  from .utils import get_from_module
label_desc: Use image node_id 2 for calling a global function with example usage: L2(tensor, wd) and returns: tf