|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/math/bessel.py#L1295-L1320) | Computes `log(tfp.math.bessel_kve(v, z))`. tfp.math.log_bessel_kve( v, z, name=None ) ### Used in the notebooks | Used in the tutorials | |---| | - [TFP Release Notes notebook (0.13.0)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_13_0) | This function is a more numerically stable version of `log(tfp.math.bessel_kve(v, z))`. > [!WARNING] > **Warning:** Gradients with respect to the first parameter `v` are currently not defined.


| ## Args || |---|---| | `v` | Floating-point `Tensor` broadcastable with `z` for which `log(Kve(v, z))` should be computed. `v` is expected to be non-negative. | | `z` | Floating-point `Tensor` broadcastable with `v` for which `log(Kve(v, z))` should be computed. If `z` is negative, `v` is expected to be an integer. | | `name` | A name for the operation (optional). Default value: `None` (i.e., 'log_bessel_kve'). |



| ## Returns || |---|---| | `log_bessel_kve` | Log of Exponentially modified Bessel Function of the second kind. |