fix val err

examples/trials/auto-gbdt/config.yml

 authorName: default
 experimentName: example_auto-gbdt
 trialConcurrency: 1
-maxExecDuration: 10h
-maxTrialNum: 10
+maxExecDuration: 48h
+maxTrialNum: 1000
 #choice: local, remote, pai
 trainingServicePlatform: local
 searchSpacePath: search_space.json
@@ -11,10 +11,11 @@ useAnnotation: false
 tuner:
   #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
   #SMAC (SMAC should be installed through nnictl)
-  builtinTunerName: TPE
+  builtinTunerName: GPTuner
   classArgs:
     #choice: maximize, minimize
     optimize_mode: minimize
+    cold_start_num : 1
 trial:
   command: python3 main.py
   codeDir: .

examples/trials/mnist/config.yml

@@ -11,10 +11,11 @@ useAnnotation: false
 tuner:
   #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
   #SMAC (SMAC should be installed through nnictl)
-  builtinTunerName: TPE
+  builtinTunerName: GPTuner
   classArgs:
     #choice: maximize, minimize
     optimize_mode: maximize
+    cold_start_num : 1
 trial:
   command: python3 mnist.py
   codeDir: .

src/sdk/pynni/nni/gp_tuner/util.py

@@ -40,7 +40,7 @@ def _match_val_type(vals, bounds):
             vals_new.append(
                 min(bounds[i]['_value'], key=lambda x: abs(x - vals[i])))
         elif _type in ['quniform', 'randint']:
-            vals_new.append(np.around(bounds[i]['_value']))
+            vals_new.append(np.around(vals[i]))
         else:
             vals_new.append(vals[i])