code: def unet(
      input_tensor: tf.Tensor,
      instruments: Iterable[str],
      params: Optional[Dict] = None,
  ) -> Dict:
      """Model function applier."""
      return apply(apply_unet, input_tensor, instruments, params)
  
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 4 for calling a global function with example usage: unet(input_tensor, instruments, params) and returns: apply