|  View source on GitHub | 
The Triangular Csiszar-function in log-space.
tfp.substrates.numpy.vi.triangular(
    logu, name=None
)
A Csiszar-function is a member of,
F = { f:R_+ to R : f convex }.
The Triangular Csiszar-function is:
f(u) = (u - 1)**2 / (1 + u)
This Csiszar-function induces a symmetric f-Divergence, i.e.,
D_f[p, q] = D_f[q, p].
| Args | |
|---|---|
| logu | float-likeTensorrepresentinglog(u)from above. | 
| name | Python strname prefixed to Ops created by this function. | 
| Returns | |
|---|---|
| triangular_of_u | float-likeTensorof the Csiszar-function evaluated
atu = exp(logu). |