# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import paddle import paddle.nn as nn from .resnet_vd import ResNet50_vd from .mobilenet_v3 import MobileNetV3_large_x1_0 from .resnext101_wsl import ResNeXt101_32x16d_wsl __all__ = [ 'ResNet50_vd_distill_MobileNetV3_large_x1_0', 'ResNeXt101_32x16d_wsl_distill_ResNet50_vd' ] class ResNet50_vd_distill_MobileNetV3_large_x1_0(nn.Layer): def __init__(self, class_dim=1000, **args): super(ResNet50_vd_distill_MobileNetV3_large_x1_0, self).__init__() self.teacher = ResNet50_vd(class_dim=class_dim, **args) self.student = MobileNetV3_large_x1_0(class_dim=class_dim, **args) def forward(self, input): teacher_label = self.teacher(input) teacher_label.stop_gradient = True student_label = self.student(input) return teacher_label, student_label class ResNeXt101_32x16d_wsl_distill_ResNet50_vd(nn.Layer): def __init__(self, class_dim=1000, **args): super(ResNeXt101_32x16d_wsl_distill_ResNet50_vd, self).__init__() self.teacher = ResNeXt101_32x16d_wsl(class_dim=class_dim, **args) self.student = ResNet50_vd(class_dim=class_dim, **args) def forward(self, input): teacher_label = self.teacher(input) teacher_label.stop_gradient = True student_label = self.student(input) return teacher_label, student_label