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53 lines
1.6 KiB
53 lines
1.6 KiB
3 years ago
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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, division, print_function
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import paddle
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import paddle.nn as nn
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class VehicleNeck(nn.Layer):
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def __init__(self,
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in_channels,
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out_channels,
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kernel_size=1,
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stride=1,
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padding=0,
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dilation=1,
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groups=1,
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padding_mode='zeros',
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weight_attr=None,
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bias_attr=None,
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data_format='NCHW'):
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super().__init__()
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self.conv = nn.Conv2D(
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in_channels=in_channels,
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out_channels=out_channels,
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kernel_size=kernel_size,
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stride=stride,
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padding=padding,
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dilation=dilation,
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groups=groups,
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padding_mode=padding_mode,
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weight_attr=weight_attr,
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bias_attr=weight_attr,
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data_format=data_format)
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self.flatten = nn.Flatten()
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def forward(self, x):
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x = self.conv(x)
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x = self.flatten(x)
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return x
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