specified cache argument for simulation

Author: MiloLurati

examples/hip/vector_add_simulation_mode.py

@@ -31,16 +31,12 @@ def tune():
     tune_params = OrderedDict()
     tune_params["block_size_x"] = [128+64*i for i in range(15)]
 
-    filename = "vector_add.json"
+    filename = "vector_add_cache.json"
     if os.path.isfile(filename):
         results, env = tune_kernel("vector_add", kernel_string, size, args, tune_params, 
-                                strategy="simulated_annealing",
+                                strategy="random_sample",  strategy_options=dict(max_fevals=10),
                                 lang="HIP", simulation_mode=True, cache="vector_add_cache.json")
 
-        # Store the tuning results in an output file
-        store_output_file("vector_add_simulated_annealing.json", results, tune_params)
-
-        return results
     else:
         print(f"{filename} does not exist in the directory, run vector_add.py first.")