class_docstr: Xception65 for backbone network of DeepLab v3+.
  
  Unlike original Xception65, this follows implementation in deeplab v3
  (https://github.com/tensorflow/models/tree/master/research/deeplab).
  This returns lowlevel feature (an output of second convolution in second
  block in entryflow) and highlevel feature (an output before final average
  pooling in original).
  
  Args:
      bn_kwargs (dict):  Keywod arguments passed to initialize the batch
          normalization layers of :class:`chainercv.links.Conv2DBNActiv` and
          :class:`chainercv.links.SeparableConv2DBNActiv`.
class_docstr_tok: ["Xception65","for","backbone","network","of","DeepLab","v3+",".","Unlike","original","Xception65",",","this","follows","implementation","in","deeplab","v3","(","https",":","\/\/github.com\/tensorflow\/models\/tree\/master\/research\/deeplab",")",".","This","returns","lowlevel","feature","(","an","output","of","second","convolution","in","second","block","in","entryflow",")","and","highlevel","feature","(","an","output","before","final","average","pooling","in","original",")",".","Args",":","bn_kwargs","(","dict",")",":","Keywod","arguments","passed","to","initialize","the","batch","normalization","layers","of",":","class",":","`","chainercv.links.Conv2DBNActiv","`","and",":","class",":","`","chainercv.links.SeparableConv2DBNActiv","`","."]
code: def forward(self, x):
      h = self.entryflow_conv1(x)
      h = self.entryflow_conv2(h)
      h, _ = self.entryflow_block1(h)
      h, lowlevel = self.entryflow_block2(h)
      h, _ = self.entryflow_block3(h)
  
      for i in range(1, 17):
          h, _ = self["middleflow_block{}".format(i)](h)
  
      h, _ = self.exitflow_block1(h)
      highlevel, _ = self.exitflow_block2(h)
  
      return lowlevel, highlevel
  
file_path: chainercv/chainercv/links/model/deeplab/xception.py
imports: from __future__ import division
  import chainer
  import chainer.functions
  from chainercv.links import Conv2DBNActiv
  from chainercv.links import SeparableConv2DBNActiv
  import numpy
label_desc: Use image node_id 2 for calling the Xception65 obj's underlying member method code with example usage: obj.forward(x) and returns: lowlevel,  highlevel