code: def __init__(
      self, in_channels, out_channels, kernel_size, stride, padding=""
  ):
      super(SeparableConv2d, self).__init__()
      self.depthwise_conv2d = create_conv2d(
          in_channels,
          in_channels,
          kernel_size=kernel_size,
          stride=stride,
          padding=padding,
          groups=in_channels,
      )
      self.pointwise_conv2d = create_conv2d(
          in_channels, out_channels, kernel_size=1, padding=0
      )
  
imports: from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.layers import ConvNormAct, create_conv2d, create_pool2d, create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 1 to create a new SeparableConv2d object from inherited base classes: nn with example: obj = SeparableConv2d(in_channels, out_channels, kernel_size, stride, padding)