code: def hybrid_forward(
      self,
      F,
      past_target,
      time_remaining,
      interval_alpha_bias=None,
      size_alpha_bias=None,
      **kwargs,
  ) -> Tensor:
      return self.sampling_decoder(
          F,
          past_target=past_target,
          interval_alpha_bias=interval_alpha_bias,
          size_alpha_bias=size_alpha_bias,
          time_remaining=time_remaining,
      )
  
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 3 for calling the DeepRenewalPredictionNetwork obj's underlying member method code with example usage: obj.hybrid_forward(F, past_target, time_remaining, interval_alpha_bias, size_alpha_bias) and returns: self