class_docstr: Represents a count of occurrences of events or objects.
  
  `Counter` can help debug Pipeline computations. For example, by counting
  objects (consumed, produced, etc...) by the Pipeline, or occurrences of
  certain cases in the Pipeline.
docstr: Increment the count.
  
  Args:
    inc: (defaults to 1) How much to increment the count by.
docstr_tok: ["Increment","the","count",".","Args",":","inc",":","(","defaults","to","1",")","How","much","to","increment","the","count","by","."]
code: def increment(self, inc=1):
      """Increment the count.
  
      Args:
        inc: (defaults to 1) How much to increment the count by.
      """
      self.count += inc
  
imports: import abc
  import bisect
  import copy
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the Counter obj's underlying member method code with example usage: obj.increment(inc) without return types