Modifying Conf Measurement for Efficient Execution

llvm/projects/hpvm-tensor-rt/opentuner/autotuner/measure_confidence2.py

@@ -19,7 +19,7 @@ def getAccuracy(file_name):
   return accuracy  
 
 
-total_runs = 30.0
+total_runs = 60.0
 skip_lines = 0
 
 
@@ -84,7 +84,7 @@ def getConfidence(accuracy_outfile, acc_threshold):
 
   
   
-# NOTE: invokes the binary with the number of runs 
+# NOTE: invokes the binary with the number of runs
 def do_multiple_runs2(binary_name, accuracy_threshold, confidence_threshold):
 
   successful_runs = 0.0
@@ -337,7 +337,8 @@ def compute_promise_confidence2(binary_name, accuracy, confidence, layer_costs,
     tuner_file.write(config_str)  
     tuner_file.close()
     
-    run_confidence, avg_accuracy = do_multiple_runs(binary_name, accuracy, confidence)
+    #run_confidence, avg_accuracy = do_multiple_runs(binary_name, accuracy, confidence)
+    run_confidence, avg_accuracy = do_multiple_runs2(binary_name, accuracy, confidence)
 
     if run_confidence >= 95:    
       f2 = open(output_dir + "/" + file_name, "w+")