Trajectory optimization fails and it keeps looking for InterpolateType.KUNZ_STILMAN_OPTIMAL

[MannavaVivek]

I am running curobo using cuMotion, and I use interpolation_type = InterpolateType.LINEAR_CUDA and maximum_trajectory_dt=2.0.

and the planning is done with the following setting:
MotionGenPlanConfig(max_attempts=10, enable_graph_attempt=3, enable_opt=True,
time_dilation_factor=0.

The trajectory keeps failing even though I have tried with OMPL and it is reachable for the same start and goal state. When I run it in debug mode, here are the logs:

[cumotion_custom_planner.py-1] [INFO] [curobo] MG: running TO
[cumotion_custom_planner.py-1] [INFO] [curobo] TrajOpt: solving with Pose batch:1
[cumotion_custom_planner.py-1] [INFO] [curobo] Updating safety params
[cumotion_custom_planner.py-1] [INFO] [curobo] Updating optimizer params
[cumotion_custom_planner.py-1] [INFO] [curobo] Ran TO
[cumotion_custom_planner.py-1] [INFO] [curobo] MG: running GP
[cumotion_custom_planner.py-1] [INFO] [curobo] trajectory_smoothing package not found, InterpolateType.KUNZ_STILMAN_OPTIMAL is disabled. to enable, try installing curobo with pip install .[smooth]

Since I installed curobo through the cuMotion binaries, how do I get this trajectory_smoothing package, and why is it even looking for KUNZ_STILMAN if I set the interpolater to LINEAR_CUDA