code: def categorical_crossentropy_from_logits(y_true, y_pred):
      y_pred = tfe.keras.activations.softmax(y_pred)
      return categorical_crossentropy(y_true, y_pred)
  
imports: import tf_encrypted
label_desc: Use image node_id 5 for calling a global function with example usage: categorical_crossentropy_from_logits(y_true, y_pred) and returns: categorical_crossentropy