  import re
  import sys
  import platform
  
  from subprocess import CalledProcessError, run, PIPE, Popen
  
  INSTALL_FAILED = False
  # Revisions of tensorflow-gpu and cuda/cudnn requirements
 
</s> remove         self.input = self.graph.get_tensor_by_name("fa/0:0")
        self.output = self.graph.get_tensor_by_name("fa/Add_95:0")
 </s> add         self.input = self.graph.get_tensor_by_name("fa/input_1:0")
        self.output = self.graph.get_tensor_by_name("fa/transpose_647:0") </s> remove         card_id, _, vram_total = self.get_vram_free()
        if card_id == -1:
            self.init.set()
            raise ValueError("No Graphics Card Detected! FAN is not currently supported on CPU. "
                             "Use another aligner such as DLIB ( -A dlib ).")
 </s> add         _, _, vram_total = self.get_vram_free() </s> remove                     "\n\tGPU heavy."})
 </s> add                     "\n\tGPU heavy, slow when not running on GPU"})
import warnings
  import re
  import sys
  import platform
import warnings
  
  from subprocess import CalledProcessError, run, PIPE, Popen
  
  INSTALL_FAILED = False
  # Revisions of tensorflow-gpu and cuda/cudnn requirements
keep keep add keep keep keep keep keep
 Convert FAN to run on CPU as well as GPU 
setup.py