code: def forward(self, x):
      res_list = []
      for i in range(self.num_kernels):
          res_list.append(self.kernels[i](x))
      res = torch.stack(res_list, dim=-1).mean(-1)
      return res
  
imports: from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.fft
  from ..common._modules import DataEmbedding
  from ..common._base_windows import BaseWindows
  from ..losses.pytorch import MAE
label_desc: Use image node_id 3 for calling the Inception_Block_V1 obj's underlying member method code with example usage: obj.forward(x) and returns: res