code: def __init__(self, num_parallel_samples: int = 100, **kwargs) -> None:
      super().__init__(**kwargs)
      self.num_parallel_samples = num_parallel_samples
  
imports: from typing import Optional, Tuple
  import mxnet
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.distribution import Distribution, DistributionOutput
  from gluonts.mx.distribution.distribution import getF
  from mxnet import gluon
label_desc: Use image node_id 1 to create a new DeepRenewalPredictionNetwork object from inherited base classes: DeepRenewalNetwork with example: obj = DeepRenewalPredictionNetwork(num_parallel_samples)