code: def call(self, inputs, **kwargs):
      if self.input_dims() != -1 and self.input_dims() != len(
          inputs.shape
      ):
          if self.input_dims() == 3:
              # lstm like, TxBxF
              ds = keras.backend.shape(inputs)
              ss = inputs.shape
              inputs = keras.backend.reshape(
                  inputs, (ds[0], ds[1], ss[2] * ss[3])
              )
          elif self.input_dims() == 4:
              # cnn like, BxTxHxW
              raise NotImplementedError
          else:
              raise NotImplementedError
      return self._call(inputs, **kwargs)
  
imports: from abc import ABC, abstractmethod
  from dataclasses import dataclass, field
  from typing import Type, TypeVar, Generic, Tuple, Optional
  from paiargparse import pai_dataclass, pai_meta
  from tensorflow import keras
label_desc: Use image node_id 3 for calling the Layer obj's underlying member method code with example usage: obj.call(inputs) and returns: self