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Merge pull request #80 from littletomatodonkey/master 

fix res2net200_vd
pull/81/head
dyning 2020-04-26 21:27:01 +08:00 committed by GitHub
parent aa9cb509a5 ed3ce87dc1
commit ca78dc0f9b
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1 changed files with 12 additions and 12 deletions
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24
ppcls/modeling/architectures/res2net_vd.py
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@ -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
@ -18,7 +18,6 @@ from __future__ import print_function
import math
import paddle
import paddle.fluid as fluid
from paddle.fluid.param_attr import ParamAttr
@ -39,7 +38,8 @@ class Res2Net_vd():
layers = self.layers
supported_layers = [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)
basic_width = self.width * self.scales
num_filters1 = [basic_width * t for t in [1, 2, 4, 8]]
num_filters2 = [256 * t for t in [1, 2, 4, 8]]
@ -81,7 +81,7 @@ class Res2Net_vd():
pool_type='max')
for block in range(len(depth)):
for i in range(depth[block]):
if layers in [101, 152] and block == 2:
if layers in [101, 152, 200] and block == 2:
if i == 0:
conv_name = "res" + str(block + 2) + "a"
else: