code: def _machine_eps(dtype):
      """Returns the machine epsilon for the supplied dtype."""
      dtype = tf.as_dtype(dtype).as_numpy_dtype
      eps = 1e-6 if dtype == np.float32 else 1e-10
      return eps
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tf_quant_finance import datetime
  from tf_quant_finance import math
  from tf_quant_finance import utils
  from tf_quant_finance.experimental import local_volatility
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import utils
  from tf_quant_finance.math import pde
  from tf_quant_finance.math.interpolation import linear
  from tf_quant_finance.models import generic_ito_process
label_desc: Use image node_id 2 for calling a global function with example usage: _machine_eps(dtype) and returns: eps