code: def _get_deconv_activation_layer(params: Dict) -> Any:
      """
      Parameters:
          params (Dict):
              Model parameters.
  
      Returns:
          Any:
              Required Activation function.
      """
      deconv_activation: str = str(params.get("deconv_activation"))
      if deconv_activation == "LeakyReLU":
          return LeakyReLU(0.2)
      elif deconv_activation == "ELU":
          return ELU()
      return ReLU()
  
file_path: spleeter/spleeter/model/functions/unet.py
imports: from functools import partial
  from typing import Any, Dict, Iterable, Optional
  import tensorflow
  from tensorflow.compat.v1 import logging
  from tensorflow.compat.v1.keras.initializers import he_uniform
  from tensorflow.keras.layers import ELU, BatchNormalization, Concatenate, Conv2D, Conv2DTranspose, Dropout, LeakyReLU, Multiply, ReLU, Softmax
  from .None import apply
label_desc: Use image node_id 2 for calling a global function with example usage: _get_deconv_activation_layer(params) and returns: ReLU, LeakyReLU, ELU