59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
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#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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#Licensed under the Apache License, Version 2.0 (the "License");
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#you may not use this file except in compliance with the License.
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#You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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#Unless required by applicable law or agreed to in writing, software
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#distributed under the License is distributed on an "AS IS" BASIS,
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#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#See the License for the specific language governing permissions and
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#limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import math
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import paddle
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import paddle.fluid as fluid
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from paddle.fluid.param_attr import ParamAttr
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from .resnet_vd import ResNet50_vd
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from .mobilenet_v3 import MobileNetV3_large_x1_0
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from .resnext101_wsl import ResNeXt101_32x16d_wsl
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__all__ = [
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'ResNet50_vd_distill_MobileNetV3_x1_0',
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'ResNeXt101_32x16d_wsl_distill_ResNet50_vd'
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]
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class ResNet50_vd_distill_MobileNetV3_x1_0():
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def net(self, input, class_dim=1000):
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# student
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student = MobileNetV3_large_x1_0()
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out_student = student.net(input, class_dim=class_dim)
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# teacher
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teacher = ResNet50_vd()
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out_teacher = teacher.net(input, class_dim=class_dim)
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out_teacher.stop_gradient = True
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return out_teacher, out_student
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class ResNeXt101_32x16d_wsl_distill_ResNet50_vd():
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def net(self, input, class_dim=1000):
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# student
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student = ResNet50_vd()
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out_student = student.net(input, class_dim=class_dim)
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# teacher
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teacher = ResNeXt101_32x16d_wsl()
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out_teacher = teacher.net(input, class_dim=class_dim)
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out_teacher.stop_gradient = True
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return out_teacher, out_student
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