Hyperparametertuning custom strategies (#325)

Adding default costfunc kwargs to allow LlaMEA to generate algorithms without these settings.

Author: nikivanstein

kernel_tuner/strategies/wrapper.py

@@ -34,6 +34,13 @@ def __init__(self, optimizer: OptAlg):
         self.optimizer: OptAlg = optimizer
 
     def tune(self, searchspace: Searchspace, runner, tuning_options):
+        if not hasattr(self.optimizer, 'costfunc_kwargs'):
+            # Set costfunc kwarts to no scaling and no snapping (assume a mixed-int optimizer).
+            self.optimizer.costfunc_kwargs = {
+                "scaling": False,
+                "snap": False,
+            }
+            self.optimizer.constraint_aware = False
         cost_func = CostFunc(searchspace, tuning_options, runner, **self.optimizer.costfunc_kwargs)
 
         if self.optimizer.costfunc_kwargs.get('scaling', False):