|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/math/bessel.py#L1193-L1219) | Computes `log(tfp.math.bessel_ive(v, z))`. tfp.math.log_bessel_ive( v, z, name=None ) This function is a more numerically stable version of `log(tfp.math.bessel_ive(v, z))`, along with more numerically stable gradients. > [!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(Ive(v, z))` should be computed. `v` is expected to be non-negative. | | `z` | Floating-point `Tensor` broadcastable with `v` for which `log(Ive(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_ive'). |



| ## Returns || |---|---| | `log_bessel_ive` | Log of Exponentially modified Bessel Function of the first kind. |