Import pt.optimize.minimize inside relevant function

Author: jessegrabowski

pymc_extras/inference/laplace_approx/laplace.py

@@ -35,7 +35,6 @@
 from pymc.util import get_default_varnames
 from pytensor.graph import vectorize_graph
 from pytensor.tensor import TensorVariable
-from pytensor.tensor.optimize import minimize
 from pytensor.tensor.type import Variable
 
 from pymc_extras.inference.laplace_approx.find_map import (
@@ -109,6 +108,8 @@ def get_conditional_gaussian_approximation(
     f: Callable
         A function which accepts a value of x and args and returns [x0, log(p(x | y, params))], where x0 is the mode. x is currently both the point at which to evaluate logp and the initial guess for the minimizer.
     """
+    from pytensor.tensor.optimize import minimize
+
     model = pm.modelcontext(model)
 
     if args is None: