Given random variable X, the cumulative distribution function cdf is: tfd_log_cdf(x) := Log[ P[X <= x] ] Often, a numerical approximation can be used for tfd_log_cdf(x) that yields a more accurate answer than simply taking the logarithm of the cdf when x << -1.

tfd_log_cdf(distribution, value, ...)

## Arguments

distribution The distribution being used. float or double Tensor. Additional parameters passed to Python.

## Value

a Tensor of shape sample_shape(x) + self$batch_shape with values of type self$dtype.