code: def import_repr_block(
      model_dir: Path, model_name: str, epoch: int = 0
  ) -> mx.gluon.HybridBlock:
      """
      Deserializes a representable Gluon block.
  
      Parameters
      ----------
      model_dir
          The path where the model is saved.
      model_name
          The name identifying the model.
      epoch
          The epoch number, which together with the `model_name` identifies the
          model parameters.
  
      Returns
      -------
      mx.gluon.HybridBlock:
          The deserialized block.
      """
      with (model_dir / f"{model_name}-network.json").open("r") as fp:
          rb = cast(mx.gluon.HybridBlock, load_json(fp.read()))
      rb.load_parameters(
          str(model_dir / f"{model_name}-{epoch:04}.params"),
          ctx=mx.current_context(),
          allow_missing=False,
          ignore_extra=False,
      )
      return rb
  
imports: import inspect
  import tempfile
  from pathlib import Path
  from typing import List, Optional, Tuple, cast, Type
  import mxnet
  from mxnet.gluon.block import _flatten
  from gluonts.core.serde import dump_json, load_json
  from gluonts.mx import Tensor
label_desc: Use image node_id 8 for calling a global function with example usage: import_repr_block(model_dir, model_name, epoch) and returns: rb