diff --git a/.gitignore b/.gitignore
index 24b4c4de6..93b7544a4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,3 +3,5 @@
 tools/venv
 .vscode
 *.log
+*.pdmodel
+*.pdiparams*
diff --git a/deepspeech/exps/deepspeech2/model.py b/deepspeech/exps/deepspeech2/model.py
index 020ed1b58..09280cf9f 100644
--- a/deepspeech/exps/deepspeech2/model.py
+++ b/deepspeech/exps/deepspeech2/model.py
@@ -305,15 +305,8 @@ class DeepSpeech2Tester(DeepSpeech2Trainer):
             exit(-1)
 
     def export(self):
-
         self.infer_model.eval()
         feat_dim = self.test_loader.dataset.feature_size
-        # static_model = paddle.jit.to_static(
-        #     self.infer_model, 
-        #     input_spec=[
-        #         paddle.static.InputSpec(shape=[None, feat_dim, None], dtype='float32'), # audio, [B,D,T]
-        #         paddle.static.InputSpec(shape=[None], dtype='int64'), # audio_length, [B]
-        # ])
         paddle.jit.save(
             self.infer_model,
             self.args.export_path,
diff --git a/deepspeech/training/trainer.py b/deepspeech/training/trainer.py
index f93bc5754..a775aa6b5 100644
--- a/deepspeech/training/trainer.py
+++ b/deepspeech/training/trainer.py
@@ -267,10 +267,6 @@ class Trainer():
         stream_handler.setFormatter(formatter)
         logger.addHandler(stream_handler)
 
-        # if not hasattr(self, 'output_dir'):
-        #     self.logger = logger
-        #     return
-
         log_file = self.output_dir / 'worker_{}.log'.format(dist.get_rank())
         # file_handler = logging.FileHandler(str(log_file))
         # file_handler.setFormatter(formatter)