class_docstr: A container class for losses passed to `Model.compile`.
class_docstr_tok: ["A","container","class","for","losses","passed","to","`","Model.compile","`","."]
docstr: Resets the state of loss metrics.
code: def reset_state(self):
      """Resets the state of loss metrics."""
      if not self._built:
          return
      metrics = [self._loss_metric] + nest.flatten(
          self._per_output_metrics
      )
      for metric_obj in metrics:
          if metric_obj is not None:
              metric_obj.reset_state()
  
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 7 for calling the LossesContainer obj's underlying member method code with example usage: obj.reset_state() without return types