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