code: def _num_elements(losses):
      """Computes the number of elements in `losses` tensor."""
      with ops.name_scope(
          None, "num_elements", values=[losses]
      ) as scope:
          return math_ops.cast(
              array_ops.size(losses, name=scope), dtype=losses.dtype
          )
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import confusion_matrix
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import weights_broadcast_ops
  from tensorflow.python.ops.losses import util
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.deprecation import deprecated_args
  from tensorflow.python.util.deprecation import deprecated_argument_lookup
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: _num_elements(losses) and returns: math_ops