From f51b63c2e5e7fa74e7376f18ae8c50a2121fdb3d Mon Sep 17 00:00:00 2001 From: littletomatodonkey Date: Tue, 16 Jun 2020 09:02:44 +0000 Subject: [PATCH] fix lr mult --- ppcls/modeling/architectures/resnet_vd.py | 33 ++++++++++++++--------- 1 file changed, 20 insertions(+), 13 deletions(-) diff --git a/ppcls/modeling/architectures/resnet_vd.py b/ppcls/modeling/architectures/resnet_vd.py index 6d0f3c4f..718e7f9e 100644 --- a/ppcls/modeling/architectures/resnet_vd.py +++ b/ppcls/modeling/architectures/resnet_vd.py @@ -1,16 +1,16 @@ -#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. +# 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 +# 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. +# 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 @@ -49,7 +49,8 @@ class ResNet(): layers = self.layers supported_layers = [18, 34, 50, 101, 152, 200] assert layers in supported_layers, \ - "supported layers are {} but input layer is {}".format(supported_layers, layers) + "supported layers are {} but input layer is {}".format( + supported_layers, layers) if layers == 18: depth = [2, 2, 2, 2] @@ -159,7 +160,9 @@ class ResNet(): padding=(filter_size - 1) // 2, groups=groups, act=None, - param_attr=ParamAttr(name=name + "_weights" + self.postfix_name), + param_attr=ParamAttr( + name=name + "_weights" + self.postfix_name, + learning_rate=lr_mult), bias_attr=False) if name == "conv1": bn_name = "bn_" + name @@ -168,8 +171,12 @@ class ResNet(): return fluid.layers.batch_norm( input=conv, act=act, - param_attr=ParamAttr(name=bn_name + '_scale' + self.postfix_name), - bias_attr=ParamAttr(bn_name + '_offset' + self.postfix_name), + param_attr=ParamAttr( + name=bn_name + '_scale' + self.postfix_name, + learning_rate=lr_mult), + bias_attr=ParamAttr( + bn_name + '_offset' + self.postfix_name, + learning_rate=lr_mult), moving_mean_name=bn_name + '_mean' + self.postfix_name, moving_variance_name=bn_name + '_variance' + self.postfix_name) -- GitLab