code: def load_icon(icon_bytes):
      alpha = etas.deserialize_numpy_array(icon_bytes)
      h, w = alpha.shape
      img = np.zeros((h, w, 4), dtype=alpha.dtype)
      img[:, :, -1] = alpha
      return img
  
imports: import itertools
  import warnings
  import numpy
  import sklearn.linear_model
  import sklearn.metrics
  import eta.core.serial
  import eta.core.utils
  import fiftyone.core.expressions
  import fiftyone.core.labels
label_desc: Use image node_id 11 for calling a global function with example usage: load_icon(icon_bytes) and returns: img