diff --git a/example/bert_clue/evaluation.py b/example/bert_clue/evaluation.py
index 96e20b1c0df0ac293c1dd1e3c49f5d1bcbd413dd..2d1086236d171a60ca6470eb4c9c2ad76f66f2df 100644
--- a/example/bert_clue/evaluation.py
+++ b/example/bert_clue/evaluation.py
@@ -82,6 +82,8 @@ def get_dataset(batch_size=1, repeat_count=1, distribute_file=''):
     '''
     get dataset
     '''
+    _ = distribute_file
+
     ds = de.TFRecordDataset([cfg.data_file], cfg.schema_file, columns_list=["input_ids", "input_mask",
                                                                             "segment_ids", "label_ids"])
     type_cast_op = C.TypeCast(mstype.int32)
diff --git a/example/bert_clue/finetune.py b/example/bert_clue/finetune.py
index b81b2c48d3bfed1996a2ae2cac56375e34aaeb0f..d3cd22a3bd6816dc57f0e27d9eab8b2edeef224a 100644
--- a/example/bert_clue/finetune.py
+++ b/example/bert_clue/finetune.py
@@ -58,6 +58,8 @@ def get_dataset(batch_size=1, repeat_count=1, distribute_file=''):
     '''
     get dataset
     '''
+    _ = distribute_file
+
     ds = de.TFRecordDataset([cfg.data_file], cfg.schema_file, columns_list=["input_ids", "input_mask",
                                                                             "segment_ids", "label_ids"])
     type_cast_op = C.TypeCast(mstype.int32)
diff --git a/mindspore/nn/layer/quant.py b/mindspore/nn/layer/quant.py
index cec0f8aa7e588bffd2e25b3225c38f44c9134582..fe1c0e9f455da0de633284cba3753ce46d9fb856 100644
--- a/mindspore/nn/layer/quant.py
+++ b/mindspore/nn/layer/quant.py
@@ -208,6 +208,7 @@ class Conv2dBatchNormQuant(Cell):
                  symmetric=False,
                  narrow_range=False):
         super(Conv2dBatchNormQuant, self).__init__()
+        _ = dilation
         self.stride = stride
         self.conv = P.Conv2D(out_channel=out_channels,
                              kernel_size=kernel_size,
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index 90d448e55ab2bf801b395d43bb370e6f7b5a3c97..a80500c0e6414fc649eb3794e05914aea53b2200 100644
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -2030,7 +2030,7 @@ class OneHot(PrimitiveWithInfer):
         depth_val = depth['value']
         validator.check_integer("depth", depth_val, 0, Rel.GE, self.name)
         # create new dimension at end if self.axis is -1
-        indices_shp.insert(self.axis, depth_val) if self.axis >= 0 else indices_shp.append(depth_val)
+        _ = indices_shp.insert(self.axis, depth_val) if self.axis >= 0 else indices_shp.append(depth_val)
 
         return {'shape': indices_shp,
                 'dtype': on_value['dtype'],
diff --git a/mindspore/train/summary/_event_writer.py b/mindspore/train/summary/_event_writer.py
index 4c340d0caf67bd5cba416ad7e1ce39dc4d0df0a8..ae347135f62a7e83dcced3c2dc5618915c5ff09b 100644
--- a/mindspore/train/summary/_event_writer.py
+++ b/mindspore/train/summary/_event_writer.py
@@ -38,6 +38,7 @@ class EventWriter(Process):
 
     def __init__(self, filepath: str, flush_interval: int) -> None:
         super().__init__()
+        _ = flush_interval
         with open(filepath, 'w'):
             os.chmod(filepath, stat.S_IWUSR | stat.S_IRUSR)
         self._writer = EventWriter_(filepath)