pylint clean

tests/ut/python/nn/test_loss.py

@@ -60,5 +60,5 @@ def test_SoftmaxCrossEntropyExpand():
     loss = nn.SoftmaxCrossEntropyExpand()
 
     logits = Tensor(np.random.randint(0, 9, [100, 10]).astype(np.float32))
-    labels = Tensor(np.random.randint(0, 9, [10, ]).astype(np.float32))
+    labels = Tensor(np.random.randint(0, 9, [10,]).astype(np.float32))
     _executor.compile(loss, logits, labels)

tests/ut/python/onnx/test_onnx.py

@@ -17,9 +17,7 @@ import numpy as np
 import os
 import pytest
 import stat
-import time
 
-import mindspore.common.dtype as mstype
 import mindspore.nn as nn
 from mindspore import context
 from mindspore.common.parameter import Parameter

tests/ut/python/train/quant/test_quant.py

@@ -17,7 +17,6 @@ import numpy as np
 from mobilenetv2_combined import MobileNetV2
 
 import mindspore.context as context
-import mindspore.ops.operations as P
 from mindspore import Tensor
 from mindspore import nn
 from mindspore.nn.layer import combined

tests/ut/python/train/summary/test_summary.py

@@ -127,7 +127,7 @@ def test_scalar_summary_sample_with_shape_1():
 class SummaryDemo(nn.Cell):
     """ SummaryDemo definition """
 
-    def __init__(self, ):
+    def __init__(self,):
         super(SummaryDemo, self).__init__()
         self.s = P.ScalarSummary()
         self.histogram_summary = P.HistogramSummary()

tests/ut/python/train/summary/test_tensor_summary.py

@@ -110,7 +110,7 @@ def get_test_data_check(step):
 class SummaryDemo(nn.Cell):
     """ SummaryDemo definition """
 
-    def __init__(self, ):
+    def __init__(self,):
         super(SummaryDemo, self).__init__()
         self.s = P.TensorSummary()
         self.add = P.TensorAdd()

tests/ut/python/utils/test_serialize.py

@@ -31,7 +31,7 @@ from mindspore.ops import operations as P
 from mindspore.train.callback import _CheckpointManager
 from mindspore.train.serialization import save_checkpoint, load_checkpoint, load_param_into_net, \
     _exec_save_checkpoint, export, _save_graph
-from ..ut_filter import run_on_onnxruntime, non_graph_engine
+from ..ut_filter import non_graph_engine
 
 context.set_context(mode=context.GRAPH_MODE)