class_docstr: Depthwise Separable Convolution.
class_docstr_tok: ["Depthwise","Separable","Convolution","."]
code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      x = self.depthwise_conv(x)
      x = self.piontwise_conv(x)
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import Conv2D, AvgPool2D
label_desc: Use image node_id 2 for calling the SeparableConvBNReLU obj's underlying member method code with example usage: obj.forward(x) and returns: x