class_docstr: Greedy strategy which selects the one with the highest validation loss.
code: def _update(self, epoch, validation_losses):
      del epoch  # unused
      self.current_selection.assign(
          tf.cast(
              tf.argmax(validation_losses), self.current_selection.dtype
          )
      )
  
imports: import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the GreedyStrategy obj's underlying member method code with example usage: obj._update(epoch, validation_losses) without return types