Adding seeding capability to Autotuner

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

@@ -44,7 +44,8 @@ class TunerData:
       self.autotuner_runs = 0
       self.best_speedup = 1
       self.log_file = ""
-    
+
+      self.use_seed = True
 
 
 
@@ -199,6 +200,13 @@ class DevTuner(MeasurementInterface):
       
     return manipulator
 
+
+
+  def seed_configurations(self):
+        """Provide baseline config as seed if model uses seed."""
+        baseline_config = {layer: 11 for layer in self.tunerData.tuning_flags}
+        return [baseline_config] if self.tunerData.use_seed else []
+
   
   
   def run(self, desired_result, input, limit):

llvm/projects/hpvm-tensor-rt/autotuner/tuner_driver_src/benchmarks.py

@@ -76,8 +76,28 @@
 #-- batch_id = "batch327"
 
 
-# IMP: Increased SAMPLING Knobs ---- Adding interpolation-based Knobs
-batch_id = "batch328"
+# IMP: Increased SAMPLING Knobs ---- Adding interpolation-based Knobs - 8K iterations
+#---- batch_id = "batch328"
+
+
+# IMP: Increased SAMPLING Knobs ---- Adding interpolation-based Knobs --  12K 
+#-- batch_id = "batch329"
+
+# IMP: Increased SAMPLING Knobs ---- Adding interpolation-based Knobs --  12K - NEW: 5K images calibration set 
+#-- batch_id = "batch330"
+
+
+# IMP: Increased SAMPLING Knobs -- 20K iterations - NEW: 5K images calibration set -- fixed bugs 
+#-- batch_id = "batch331"
+
+# testing install-time tuner 
+#batch_id = "batch340"
+
+# First run of install time tuner
+batch_id = "batch341"
+
+# Install Timer Tuner with FP32 SEEDING
+batch_id = "batch342"
 
 
 
@@ -402,7 +422,7 @@ MobileNet_SH.tuner_accuracy = 87.6
 MobileNet_SH.promise_accuracy = 87.76
 MobileNet_SH.validation_accuracy = 88.5
 
-bench_tuner_data["mobilenet_shallow"] = MobileNet_SH
+#-- bench_tuner_data["mobilenet_shallow"] = MobileNet_SH