class_docstr: A class that handles the parameters of Tensor Tracer.
class_docstr_tok: ["A","class","that","handles","the","parameters","of","Tensor","Tracer","."]
docstr: Sets the index range of the Ops that we will consider tracing.
docstr_tok: ["Sets","the","index","range","of","the","Ops","that","we","will","consider","tracing","."]
code: def _get_op_range(self):
      """Sets the index range of the Ops that we will consider tracing."""
      found, op_range = self.get_flag_value(FLAG_NAME_OP_RANGE)
      if not found or not op_range:
          op_range = (-1, -1)  # this means including all ops.
          return op_range
      match = _OP_RANGE_PAT.match(op_range)
      if not match:
          op_range = (-1, -1)  # this means including all ops.
          return op_range
      op_range = (int(match.group(1)), int(match.group(2)))
      return op_range
  
imports: import os
  import os.path
  import re
  from absl import flags
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the TTParameters obj's underlying member method code with example usage: obj._get_op_range() and returns: op_range, op_range, op_range