bugfix in start position generation and greedy mls

Author: benvanwerkhoven

kernel_tuner/strategies/common.py

@@ -153,12 +153,8 @@ def get_bounds_x0_eps(self):
         else:
             bounds = self.get_bounds()
             if not x0:
-                x0 = [(min_v + max_v) / 2.0 for (min_v, max_v) in bounds]
-            eps = 1e9
-            for v_list in values:
-                if len(v_list) > 1:
-                    vals = np.sort(v_list)
-                    eps = min(eps, np.amin(np.gradient(vals)))
+                x0 = list(self.searchspace.get_random_sample(1)[0])
+            eps = 1
 
         self.tuning_options["eps"] = eps
         logging.debug('get_bounds_x0_eps called')

kernel_tuner/strategies/greedy_mls.py

@@ -24,23 +24,19 @@ def tune(searchspace: Searchspace, runner, tuning_options):
 
     fevals = 0
 
-    first_candidate = cost_func.get_start_pos()
+    candidate = cost_func.get_start_pos()
 
     #while searching
     while fevals < max_fevals:
-        if first_candidate:
-            candidate = first_candidate
-            first_candidate = None
-        else:
-            candidate = searchspace.get_random_sample(1)[0]
-
         try:
             base_hillclimb(candidate, neighbor, max_fevals, searchspace, tuning_options, cost_func, restart=restart, randomize=randomize, order=order)
         except util.StopCriterionReached as e:
             if tuning_options.verbose:
                 print(e)
             return cost_func.results
 
+        candidate = searchspace.get_random_sample(1)[0]
+
         fevals = len(tuning_options.unique_results)
 
     return cost_func.results