code: def conv_bn_relu(
      in_channels,
      out_channels,
      kernel_size,
      stride,
      padding,
      groups,
      dilation=1,
  ):
      layer = Conv2dBNActivation(
          in_planes=in_channels,
          out_planes=out_channels,
          kernel_size=kernel_size,
          stride=stride,
          padding=padding,
          groups=groups,
          dilation=dilation,
          bias=False,
          norm_layer=nn.BatchNorm2d,
          eps=1e-05,
          activation_layer=nn.ReLU,
      )
      return layer
  
imports: from torch import nn
  from towhee.models.layers.droppath import DropPath
  from towhee.models.layers.conv_bn_activation import Conv2dBNActivation
label_desc: Use image node_id 3 for calling a global function with example usage: conv_bn_relu(in_channels, out_channels, kernel_size, stride, padding, groups, dilation) and returns: layer