class_docstr: BiSeNet head of BiseNetV1 model
  
  Args:
      in_channels (int): The number of input channels in spatial path module.
      out_channels (int): The number of output channels in spatial path module.
      scale (int, float): The scale factor of interpolation.
class_docstr_tok: ["BiSeNet","head","of","BiseNetV1","model","Args",":","in_channels","(","int",")",":","The","number","of","input","channels","in","spatial","path","module",".","out_channels","(","int",")",":","The","number","of","output","channels","in","spatial","path","module",".","scale","(","int",",","float",")",":","The","scale","factor","of","interpolation","."]
code: def forward(self, x):
      x = self.conv_3x3(x)
      x = self.conv_1x1(x)
      if self.scale > 1:
          x = F.interpolate(
              x,
              scale_factor=self.scale,
              mode="bilinear",
              align_corners=True,
          )
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the BiSeNetHead obj's underlying member method code with example usage: obj.forward(x) and returns: x