random_gamma_grad#
- class saiunit.lax.random_gamma_grad(x, y, unit_to_scale=None, **kwargs)#
Elementwise derivative of samples from
Gamma(a, 1).- Parameters:
x (
Array|ndarray|bool|number|bool|int|float|complex| saiunit.Quantity) – First operand. Must be dimensionless or scaled viaunit_to_scale.y (
Array|ndarray|bool|number|bool|int|float|complex| saiunit.Quantity) – Second operand. Must be dimensionless or scaled viaunit_to_scale.unit_to_scale (saiunit.Unit |
None) – If provided, inputs are scaled by this unit before applying the function.
- Returns:
result – Always unitless.
- Return type:
Array