class_docstr: The Classifier module implementation.
  This module consists of two depth-wise conv and one conv.
  Args:
      input_channels (int): The input channels to this module.
      num_classes (int): The unique number of target classes.
code: def forward(self, x):
      x = self.dsconv1(x)
      x = self.dsconv2(x)
      x = self.dropout(x)
      x = self.conv(x)
      return x
  
imports: import paddle.nn
  import paddle.nn.functional
  import paddle
  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 Classifier obj's underlying member method code with example usage: obj.forward(x) and returns: x