tensorflow_probability/python/internal/special_math.py
def _ndtr(x):
  """Implements ndtr core logic."""
  half_sqrt_2 = tf.constant(
      0.5 * np.sqrt(2.), dtype=x.dtype, name="half_sqrt_2")
  w = x * half_sqrt_2
  z = tf.abs(w)
  y = tf.where(
      tf.less(z, half_sqrt_2), 1. + tf.math.erf(w),
      tf.where(tf.greater(w, 0.), 2. - tf.math.erfc(z), tf.math.erfc(z)))
  return 0.5 * y
def _ndtr(x):
  half_sqrt_2 = tf.constant(
      0.5 * np.sqrt(2.), dtype=x.dtype, name="half_sqrt_2")
  w = x * half_sqrt_2
  z = tf.abs(w)
  y = tf.where(
      tf.less(z, half_sqrt_2), 1. + tf.math.erf(w),
      tf.where(tf.greater(w, 0.), 2. - tf.math.erfc(z), tf.math.erfc(z)))
  return 0.5 * y
def _ndtr ( x ) : half_sqrt_2 = tf . constant ( 0.5 * np . sqrt ( 2. ) , dtype = x . dtype , name = "half_sqrt_2" ) w = x * half_sqrt_2 z = tf . abs ( w ) y = tf . where ( tf . less ( z , half_sqrt_2 ) , 1. + tf . math . erf ( w ) , tf . where ( tf . greater ( w , 0. ) , 2. - tf . math . erfc ( z ) , tf . math . erfc ( z ) ) ) return 0.5 * y
Implements ndtr core logic.
Implements ndtr core logic .