class_docstr: Helper class to manage losses.
class_docstr_tok: ["Helper","class","to","manage","losses","."]
code: def _get_scheduled_param(
      self, param, param_schedule, global_step, name
  ):
      if (
          not self._ignore_schedules
          and param_schedule.vals
          and any(step > 0 for step in param_schedule.steps)
      ):
          param = _scheduled_value(
              param, param_schedule, global_step, name
          )
          tf.summary.scalar(name, param)
      return param
  
imports: import collections
  import glob
  import itertools
  from compare_gan.gans import loss_lib
  import tensorflow.compat.v1
  import tensorflow_datasets
  from hific import archs
  from hific import helpers
  from hific.helpers import ModelMode
  from hific.helpers import ModelType
  from hific.helpers import TFDSArguments
label_desc: Use image node_id 6 for calling the _LossScaler obj's underlying member method code with example usage: obj._get_scheduled_param(param, param_schedule, global_step, name) and returns: param