#start_epoch(int): The epoch when to merge student graph and teacher graph for
#                  distillation training. default: 0
#
#end_epoch(int): The epoch when to finish distillation training. default: 0
#
#student_feature_map(str): The name of feature map from student network.
#
#teacher_feature_map(str): The name of feature map from teacher network.
#                          It's shape should be the same with student network.
#
#student_pairs(list<tuple>): Each tuple, with two variable names, in student_pairs indicates
#                            a section in student network. The variables in a tuple should
#                            have the same feature map size.
#
#teacher_pairs(list<tuple>): Each tuple, with two variable names, in teacher_pairs indicates
#                            a section in teacher network. The variables in a tuple should
#                            have the same feature map size. Varibale named teacher_pairs[i][j]
#                            should has the save channel number with that of variable named 
#                            student_pairs[i][j].
#
#distillation_loss_weight(float): The weight of the loss.
version: 1.0
distillers:
    fsp_distiller:
        class: 'FSPDistiller'
#        teacher_pairs: [['teacher_depthwise_conv2d_1.tmp_0', 'teacher_conv2d_3.tmp_0']]
#        student_pairs: [['student_depthwise_conv2d_1.tmp_0', 'student_conv2d_3.tmp_0']]
        teacher_pairs: [['teacher_conv2_1_dw.tmp_0', 'teacher_conv1.tmp_0']]
        student_pairs: [['student_conv2_1_dw.tmp_0', 'student_conv1.tmp_0']]
        distillation_loss_weight: 1
    l2_distiller:
        class: 'L2Distiller'
        teacher_feature_map: 'teacher.tmp_2'
        student_feature_map: 'student.tmp_2'
        distillation_loss_weight: 1
    soft_label_distiller:
        class: 'SoftLabelDistiller'
        student_temperature: 1.0
        teacher_temperature: 1.0 
        teacher_feature_map: 'teacher.tmp_1'
        student_feature_map: 'student.tmp_1'
        distillation_loss_weight: 0.001
strategies:
    distillation_strategy:
        class: 'DistillationStrategy'
        distillers: ['fsp_distiller', 'l2_distiller', 'soft_label_distiller']
        start_epoch: 0
        end_epoch: 1
compressor:
    epoch: 1
    checkpoint_path: './distillation_checkpoints/'
    strategies:
        - distillation_strategy