code: def _epsilon(dtype):
      dtype = tf.as_dtype(dtype).as_numpy_dtype
      eps = 1e-6 if dtype == tf.float32.as_numpy_dtype else 1e-10
      return eps
  
file_path: tf-quant-finance/tf_quant_finance/models/sabr/approximations/implied_volatility.py
imports: import enum
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling a global function with example usage: _epsilon(dtype) and returns: eps