class_docstr: Simple Context module.
  
  Args:
      in_channels (int): The number of input channels to pyramid pooling module.
      inter_channels (int): The number of inter channels to pyramid pooling module.
      out_channels (int): The number of output channels after pyramid pooling module.
      bin_sizes (tuple, optional): The out size of pooled feature maps. Default: (1, 3).
      align_corners (bool): An argument of F.interpolate. It should be set to False
          when the output size of feature is even, e.g. 1024x512, otherwise it is True, e.g. 769x769.
code: def forward(self, input):
      out = None
      input_shape = paddle.shape(input)[2:]
  
      for stage in self.stages:
          x = stage(input)
          x = F.interpolate(
              x,
              input_shape,
              mode="bilinear",
              align_corners=self.align_corners,
          )
          if out is None:
              out = x
          else:
              out += x
  
      out = self.conv_out(out)
      return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 3 for calling the PPContextModule obj's underlying member method code with example usage: obj.forward(input) and returns: out