<br />

|---|
| [![](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#L479-L508) |

The Pearson Csiszar-function in log-space.

    tfp.vi.pearson(
        logu, name=None
    )

A Csiszar-function is a member of,

    F = { f:R_+ to R : f convex }.

The Pearson Csiszar-function is:

    f(u) = (u - 1)**2

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

<br />

<br />

<br />

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

<br />

<br />

<br />

<br />

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

<br />