quantized_distribution.py 文件源码

def _prob_with_sf_and_cdf(self, y):
    # There are two options that would be equal if we had infinite precision:
    # sf(y - 1) - sf(y)
    # cdf(y) - cdf(y - 1)
    sf_y = self.survival_function(y)
    sf_y_minus_1 = self.survival_function(y - 1)
    cdf_y = self.cdf(y)
    cdf_y_minus_1 = self.cdf(y - 1)

    # sf_prob has greater precision iff we're on the right side of the median.
    return math_ops.select(
        sf_y < cdf_y,  # True iff we're on the right side of the median.
        sf_y_minus_1 - sf_y,
        cdf_y - cdf_y_minus_1)