code: def deserialize(  # type: ignore
      cls, path: Path, ctx: Optional[mx.Context] = None
  ) -> "DeepRenewalProcessPredictor":
      repr_predictor = super().deserialize(path, ctx)
      ctx = repr_predictor.ctx
  
      with mx.Context(ctx):
          # deserialize constructor parameters
          with (path / "parameters.json").open("r") as fp:
              parameters = load_json(fp.read())
          parameters["ctx"] = ctx
  
          return DeepRenewalProcessPredictor(
              input_transform=repr_predictor.input_transform,
              prediction_net=repr_predictor.prediction_net,
              **parameters,
          )
  
imports: import itertools
  from functools import partial
  from pathlib import Path
  from typing import List, Optional, Callable, Iterator, Type
  import mxnet
  import numpy
  from gluonts.core.serde import load_json
  from gluonts.dataset.common import DataEntry, Dataset
  from gluonts.dataset.loader import InferenceDataLoader
  from gluonts.model.forecast import Forecast
  from gluonts.model.forecast_generator import ForecastGenerator, SampleForecastGenerator
  from gluonts.mx.batchify import batchify
  from gluonts.mx.model.predictor import RepresentableBlockPredictor
  from gluonts.transform import Transformation
label_desc: Use image node_id 3 for calling the DeepRenewalProcessPredictor obj's underlying member method code with example usage: obj.deserialize(cls, path, ctx) and returns: DeepRenewalProcessPredictor