class_docstr: Depthwise conv + Pointwise conv
class_docstr_tok: ["Depthwise","conv","+","Pointwise","conv"]
code: def __init__(self, in_planes, out_planes, stride=1):
      super(Block, self).__init__()
      self.conv1 = nn.Conv2d(
          in_planes,
          in_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          groups=in_planes,
          bias=False,
      )
      self.bn1 = nn.BatchNorm2d(in_planes)
      self.conv2 = nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=1,
          stride=1,
          padding=0,
          bias=False,
      )
      self.bn2 = nn.BatchNorm2d(out_planes)
  
file_path: nni/examples/trials/cifar10_pytorch/models/mobilenet.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Block object from inherited base classes: nn with example: obj = Block(in_planes, out_planes, stride)