code: def forward(self, x):
      x = fixed_padding(
          x, self.conv1.kernel_size[0], rate=self.conv1.dilation[0]
      )
      x = self.conv1(x)
      x = self.pointwise(x)
      return x
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 2 for calling the SeparableConv2d_same obj's underlying member method code with example usage: obj.forward(x) and returns: x