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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/vi/csiszar_divergence.py#L546-L578) |

The Triangular Csiszar-function in log-space.

    tfp.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]`.

> [!WARNING]
> **Warning:** this function makes non-log-space calculations and may therefore be numerically unstable for `|logu| >> 0`.

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| ## Args ||
|---|---|
| `logu` | `float`-like `Tensor` representing `log(u)` from above. |
| `name` | Python `str` name prefixed to Ops created by this function. |

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| ## Returns ||
|---|---|
| `triangular_of_u` | `float`-like `Tensor` of the Csiszar-function evaluated at `u = exp(logu)`. |

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