diff --git a/deepspeech/exps/deepspeech2/model.py b/deepspeech/exps/deepspeech2/model.py
index 56743629..15281177 100644
--- a/deepspeech/exps/deepspeech2/model.py
+++ b/deepspeech/exps/deepspeech2/model.py
@@ -21,6 +21,11 @@ from typing import Optional
 import jsonlines
 import numpy as np
 import paddle
+from paddle import distributed as dist
+from paddle import inference
+from paddle.io import DataLoader
+from yacs.config import CfgNode
+
 from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
 from deepspeech.io.collator import SpeechCollator
 from deepspeech.io.dataset import ManifestDataset
@@ -32,6 +37,7 @@ from deepspeech.models.ds2_online import DeepSpeech2InferModelOnline
 from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
 from deepspeech.training.gradclip import ClipGradByGlobalNormWithLog
 from deepspeech.training.reporter import report
+from deepspeech.training.timer import Timer
 from deepspeech.training.trainer import Trainer
 from deepspeech.utils import error_rate
 from deepspeech.utils import layer_tools
@@ -39,10 +45,6 @@ from deepspeech.utils import mp_tools
 from deepspeech.utils.log import Autolog
 from deepspeech.utils.log import Log
 from deepspeech.utils.utility import UpdateConfig
-from paddle import distributed as dist
-from paddle import inference
-from paddle.io import DataLoader
-from yacs.config import CfgNode
 
 logger = Log(__name__).getlog()
 
@@ -441,6 +443,15 @@ class DeepSpeech2ExportTester(DeepSpeech2Tester):
 
         return result_transcripts
 
+    def run_test(self):
+        """Do Test/Decode"""
+        try:
+            with Timer("Test/Decode Done: {}"):
+                with self.eval():
+                    self.test()
+        except KeyboardInterrupt:
+            exit(-1)
+
     def static_forward_online(self, audio, audio_len,
                               decoder_chunk_size: int=1):
         """
diff --git a/deepspeech/training/trainer.py b/deepspeech/training/trainer.py
index ddde1e88..71a27ed2 100644
--- a/deepspeech/training/trainer.py
+++ b/deepspeech/training/trainer.py
@@ -18,6 +18,9 @@ from contextlib import contextmanager
 from pathlib import Path
 
 import paddle
+from paddle import distributed as dist
+from tensorboardX import SummaryWriter
+
 from deepspeech.training.reporter import ObsScope
 from deepspeech.training.reporter import report
 from deepspeech.training.timer import Timer
@@ -28,8 +31,6 @@ from deepspeech.utils.log import Log
 from deepspeech.utils.utility import all_version
 from deepspeech.utils.utility import seed_all
 from deepspeech.utils.utility import UpdateConfig
-from paddle import distributed as dist
-from tensorboardX import SummaryWriter
 
 __all__ = ["Trainer"]
 
@@ -347,12 +348,8 @@ class Trainer():
         try:
             with Timer("Test/Decode Done: {}"):
                 with self.eval():
-                    if hasattr(self,
-                               "apply_static") and self.apply_static is True:
-                        self.test()
-                    else:
-                        self.restore()
-                        self.test()
+                    self.restore()
+                    self.test()
         except KeyboardInterrupt:
             exit(-1)
 
diff --git a/examples/other/1xt2x/README.md b/examples/other/1xt2x/README.md
index a278d366..49f850d2 100644
--- a/examples/other/1xt2x/README.md
+++ b/examples/other/1xt2x/README.md
@@ -12,8 +12,8 @@ Convert Deepspeech 1.8 released model to 2.x.
 
 # The released model
 
-Acoustic Model |  Training Data | Hours of Speech | Token-based | CER | WER 
+Acoustic Model |  Training Data | Hours of Speech | Token-based | CER | WER
 :-------------:| :------------:| :---------------: | :---------: | :---: | :----:
-Ds2 Offline Aishell 1xt2x model| Aishell Dataset | 151 h | Char-based | 0.080447 | 
-Ds2 Offline Librispeech 1xt2x model | Librispeech Dataset | 960 h | Word-based | | 0.068548 
-Ds2 Offline Baidu en8k 1x2x model | Baidu Internal English Dataset | 8628 h |Word-based | | 0.054112 
+Ds2 Offline Aishell 1xt2x model| Aishell Dataset | 151 h | Char-based | 0.080447 |
+Ds2 Offline Librispeech 1xt2x model | Librispeech Dataset | 960 h | Word-based | | 0.068548
+Ds2 Offline Baidu en8k 1x2x model | Baidu Internal English Dataset | 8628 h |Word-based | | 0.054112