teacher: 'CrossNet'               # (str) The name of teacher network.
phase: 'teacher_training'         # (str) Range in ['teacher_training, 'distillation', 'finetuning'].
type: 'outer'                     # (str) The type of interaction learning function in student network.
embedding_size: 16                # (int) The embedding size of features.
t_depth: 3                        # (int) The depth of teacher network.
depth: 3                          # (int) The depth of student network.
alpha: 0.1                        # (float) The hyperparameter of the weight of KD loss.
beta: 921.6                       # (float) The hyperparameter of the weight of CTR loss.
warm_up: ''                       # (str) The path of teacher model or student model.
t_cin: [200, 200, 200]            # (list of int) The parameter for teacher network CIN.