class_docstr: https://arxiv.org/pdf/2003.13549.pdf
class_docstr_tok: ["https",":","\/\/arxiv.org\/pdf\/2003.13549.pdf"]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x1 = self.pointwise(x)
      x2 = self.depthwise(x1)
      return x2
  
imports: from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import parametrize
  from TTS.tts.layers.delightful_tts.kernel_predictor import KernelPredictor
label_desc: Use image node_id 2 for calling the BSConv2d obj's underlying member method code with example usage: obj.forward(x) and returns: x2