code: def conv3x3(in_channels, out_channels, **kwargs):
      return MetaSequential(
          MetaConv2d(
              in_channels,
              out_channels,
              kernel_size=3,
              padding=1,
              **kwargs,
          ),
          MetaBatchNorm2d(
              out_channels, momentum=1.0, track_running_stats=False
          ),
          nn.ReLU(),
          nn.MaxPool2d(2),
      )
  
imports: import torch.nn
  from torchmeta.modules import MetaModule, MetaSequential, MetaConv2d, MetaBatchNorm2d, MetaLinear
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_channels, out_channels) and returns: MetaSequential