tfc.distributions.upper_tail | TensorFlow v2.16.1 (original) (raw)
tfc.distributions.upper_tail
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Approximates upper tail quantile for range coding.
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tfc.distributions.upper_tail(
distribution, tail_mass
)
For range coding of random variables, the distribution tails need special handling, because range coding can only handle alphabets with a finite number of symbols. This method returns a cut-off location for the upper tail, such that approximately tail_mass probability mass is contained in the tails (together). The tails are then handled by using the 'overflow' functionality of the range coder implementation (using an Elias gamma code).
| Args | |
|---|---|
| distribution | A tfp.distributions.Distribution object. |
| tail_mass | Float between 0 and 1. Desired probability mass for the tails. |
| Returns |
|---|
| A tf.Tensor broadcastable to shape self.batch_shape containing the approximate upper tail quantiles for each scalar distribution. |
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Last updated 2024-04-26 UTC.