class_docstr: A container class for metrics passed to `Model.compile`.
class_docstr_tok: ["A","container","class","for","metrics","passed","to","`","Model.compile","`","."]
code: def _should_broadcast(self, obj):
      # e.g. 'mse'.
      if not nest.is_nested(obj):
          return True
      # e.g. ['mse'] or ['mse', 'mae'].
      return isinstance(obj, (list, tuple)) and not any(
          nest.is_nested(o) for o in obj
      )
  
imports: import copy
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.keras import losses
  from tensorflow.python.keras import metrics
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.keras.utils import losses_utils
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 13 for calling the MetricsContainer obj's underlying member method code with example usage: obj._should_broadcast(obj) and returns: unknown, True