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basic.py931 B
# -*- coding: utf-8 -*- # @Time : 2019/12/6 11:19 # @Author : zhoujun from paddle import nn class ConvBnRelu(nn.Layer): def __init__( self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode="zeros", inplace=True, ): 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, bias_attr=bias, padding_mode=padding_mode, ) self.bn = nn.BatchNorm2D(out_channels) self.relu = nn.ReLU() def forward(self, x): x = self.conv(x) x = self.bn(x) x = self.relu(x) return x

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