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52 lines
1.6 KiB
52 lines
1.6 KiB
# 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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