class_docstr: Represents a volatility surface.
class_docstr_tok: ["Represents","a","volatility","surface","."]
docstr: Returns the type of implied volatility.
docstr_tok: ["Returns","the","type","of","implied","volatility","."]
code: def volatility_type(
      self,
  ) -> implied_volatility_type.ImpliedVolatilityType:
      """Returns the type of implied volatility."""
      pass
  
imports: from typing import Optional, Callable
  import tensorflow.compat.v2
  from tf_quant_finance import datetime
  from tf_quant_finance import math
  from tf_quant_finance.experimental.pricing_platform.framework.core import daycount_conventions
  from tf_quant_finance.experimental.pricing_platform.framework.core import implied_volatility_type
  from tf_quant_finance.experimental.pricing_platform.framework.core import processed_market_data
  from tf_quant_finance.experimental.pricing_platform.framework.core import types
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import utils
label_desc: Use image node_id 4 for calling the VolatilitySurface obj's underlying member method code with example usage: obj.volatility_type() without return types