fix acnet
parent
ed3ce87dc1
commit
9955d74f29
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@ -1,6 +1,6 @@
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mode: 'train'
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ARCHITECTURE:
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name: "ResNet_ACNet"
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name: "ResNet50_ACNet"
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pretrained_model: ""
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model_save_dir: "./output/"
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@ -1,16 +1,16 @@
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#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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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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# 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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# 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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@ -18,13 +18,12 @@ 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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__all__ = [
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"ResNet_ACNet", "ResNet18_ACNet", "ResNet34_ACNet", "ResNet50_ACNet",
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"ResNet101_ACNet", "ResNet152_ACNet"
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"ResNet18_ACNet", "ResNet34_ACNet", "ResNet50_ACNet", "ResNet101_ACNet",
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"ResNet152_ACNet"
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]
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@ -41,7 +40,8 @@ class ResNetACNet(object):
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layers = self.layers
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supported_layers = [18, 34, 50, 101, 152]
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assert layers in supported_layers, \
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"supported layers are {} but input layer is {}".format(supported_layers, layers)
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"supported layers are {} but input layer is {}".format(
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supported_layers, layers)
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if layers == 18:
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depth = [2, 2, 2, 2]
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@ -240,7 +240,7 @@ class ResNetACNet(object):
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def shortcut(self, input, ch_out, stride, is_first, name):
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""" shortcut """
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ch_in = input.shape[1]
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if ch_in != ch_out or stride != 1 or is_first == True:
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if ch_in != ch_out or stride != 1 or is_first is True:
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return self.conv_bn_layer(
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input=input,
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num_filters=ch_out,
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@ -304,7 +304,7 @@ class ResNetACNet(object):
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def ResNet18_ACNet(deploy=False):
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"""ResNet18 + ACNet"""
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model = ResNet_ACNet(layers=18, deploy=deploy)
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model = ResNetACNet(layers=18, deploy=deploy)
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return model
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