class_docstr: Link that holds a temperature as a learnable value.
  
  Args:
      initial_log_temperature (float): Initial value of log(temperature).
code: def __init__(self, initial_log_temperature=0):
      super().__init__()
      with self.init_scope():
          self.log_temperature = chainer.Parameter(
              np.array(initial_log_temperature, dtype=np.float32)
          )
  
imports: import collections
  import copy
  from logging import getLogger
  import chainer
  from chainer import cuda
  import chainer.functions
  import numpy
  from chainerrl.agent import AttributeSavingMixin
  from chainerrl.agent import BatchAgent
  from chainerrl.misc.batch_states import batch_states
  from chainerrl.misc.copy_param import synchronize_parameters
  from chainerrl.replay_buffer import batch_experiences
  from chainerrl.replay_buffer import ReplayUpdater
label_desc: Use image node_id 1 to create a new TemperatureHolder object from inherited base classes: chainer with example: obj = TemperatureHolder(initial_log_temperature)