class_docstr: An abstract class representing input/output representations.
docstr: Transform the data into the desired representation.
  
  Parameters
  ----------
  F
  data
      Target data.
  observed_indicator
      Target observed indicator.
  scale
      Pre-computed scale.
  rep_params
      Additional pre-computed representation parameters.
  **kwargs,
      Additional block-specfic parameters.
  
  Returns
  -------
  Tuple[Tensor, Tensor, List[Tensor]]
      Tuple consisting of the transformed data, the computed scale,
      and additional parameters to be passed to post_transform.
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code: def hybrid_forward(
      self,
      F,
      data: Tensor,
      observed_indicator: Tensor,
      scale: Optional[Tensor],
      rep_params: List[Tensor],
      **kwargs,
  ) -> Tuple[Tensor, Tensor, List[Tensor]]:
      r"""
      Transform the data into the desired representation.
  
      Parameters
      ----------
      F
      data
          Target data.
      observed_indicator
          Target observed indicator.
      scale
          Pre-computed scale.
      rep_params
          Additional pre-computed representation parameters.
      **kwargs,
          Additional block-specfic parameters.
  
      Returns
      -------
      Tuple[Tensor, Tensor, List[Tensor]]
          Tuple consisting of the transformed data, the computed scale,
          and additional parameters to be passed to post_transform.
      """
      return data, F.ones_like(data), []
  
file_path: gluonts/src/gluonts/mx/representation/representation.py
imports: from typing import List, Optional, Tuple
  import mxnet
  import numpy
  from mxnet.gluon import nn
  from gluonts.core.component import validated
  from gluonts.dataset.common import Dataset
  from gluonts.mx import Tensor
  from gluonts.mx.context import get_mxnet_context
label_desc: Use image node_id 4 for calling the Representation obj's underlying member method code with example usage: obj.hybrid_forward(F, data, observed_indicator, scale, rep_params) and returns: data,  F,  list