From ed3ce87dc15461728175ed27eef0db533d3e618f Mon Sep 17 00:00:00 2001 From: littletomatodonkey Date: Sun, 26 Apr 2020 12:43:37 +0000 Subject: [PATCH] fix res2net200_vd --- ppcls/modeling/architectures/res2net_vd.py | 24 +++++++++++----------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/ppcls/modeling/architectures/res2net_vd.py b/ppcls/modeling/architectures/res2net_vd.py index 5e3639749..464db8b71 100644 --- a/ppcls/modeling/architectures/res2net_vd.py +++ b/ppcls/modeling/architectures/res2net_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 @@ -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: