class_docstr: Base Container class.
class_docstr_tok: ["Base","Container","class","."]
code: def build(self, y_pred):
      if self._output_names is None:
          # In Subclass API, output names like 'output_1' are used for
          # `Metric` names.
          self._output_names = create_pseudo_output_names(y_pred)
  
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 2 for calling the Container obj's underlying member method code with example usage: obj.build(y_pred) without return types