class_docstr: Normal distribution with temperature T.
class_docstr_tok: ["Normal","distribution","with","temperature","T","."]
code: def __init__(self, loc, scale, temperature=1.0):
      self.temperature = temperature
      new_scale = scale * self.temperature
      tfp.distributions.Normal.__init__(self, loc=loc, scale=new_scale)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import numpy
  import scipy
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import common_video
  from tensor2tensor.utils import contrib
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  import tensorflow_probability
label_desc: Use image node_id 1 to create a new TemperedNormal object from inherited base classes: tfp.distributions with example: obj = TemperedNormal(loc, scale, temperature)