code: def _ASPPConv(in_channels, out_channels, atrous_rate, norm_layer):
      block = nn.Sequential(
          nn.Conv2d(
              in_channels=in_channels,
              out_channels=out_channels,
              kernel_size=3,
              padding=atrous_rate,
              dilation=atrous_rate,
              bias=False,
          ),
          norm_layer(out_channels),
          nn.ReLU(),
      )
  
      return block
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from contextlib import ExitStack
  from .resnet import ResNetBackbone
  from .basic_blocks import select_activation_function
  from .basic_blocks import SeparableConv2d
label_desc: Use image node_id 1 for calling a global function with example usage: _ASPPConv(in_channels, out_channels, atrous_rate, norm_layer) and returns: block