!1446 pylint clean

Merge pull request !1446 from liuxiao78/master

tests/mindspore_test_framework/apps/bert_attention_submodules.py

@@ -167,7 +167,7 @@ class BertAttentionMask(nn.Cell):
 
         super(BertAttentionMask, self).__init__()
         self.has_attention_mask = has_attention_mask
-        self.multiply_data = Tensor([-1000.0, ], dtype=dtype)
+        self.multiply_data = Tensor([-1000.0,], dtype=dtype)
         self.multiply = P.Mul()
 
         if self.has_attention_mask:
@@ -198,7 +198,7 @@ class BertAttentionMaskBackward(nn.Cell):
                  dtype=mstype.float32):
         super(BertAttentionMaskBackward, self).__init__()
         self.has_attention_mask = has_attention_mask
-        self.multiply_data = Tensor([-1000.0, ], dtype=dtype)
+        self.multiply_data = Tensor([-1000.0,], dtype=dtype)
         self.multiply = P.Mul()
         self.attention_mask = Tensor(np.ones(shape=attention_mask_shape).astype(np.float32))
         if self.has_attention_mask:

tests/st/networks/test_gpu_lstm.py

@@ -136,7 +136,7 @@ def test_LSTM():
     train_network.set_train()
 
     train_features = Tensor(np.ones([64, max_len]).astype(np.int32))
-    train_labels = Tensor(np.ones([64, ]).astype(np.int32)[0:64])
+    train_labels = Tensor(np.ones([64,]).astype(np.int32)[0:64])
     losses = []
     for epoch in range(num_epochs):
         loss = train_network(train_features, train_labels)

tests/ut/python/exec/test_AssignAdd.py

@@ -45,7 +45,6 @@ class Net(nn.Cell):
 @non_graph_engine
 def test_AssignAdd_1():
     """test AssignAdd 1"""
-    import mindspore.context as context
     context.set_context(mode=context.GRAPH_MODE)
     net = Net()
     x = Tensor(np.ones([1]).astype(np.int64) * 100)
@@ -65,7 +64,6 @@ def test_AssignAdd_1():
 @non_graph_engine
 def test_AssignAdd_2():
     """test AssignAdd 2"""
-    import mindspore.context as context
     context.set_context(mode=context.GRAPH_MODE)
     net = Net()
     x = Tensor(np.ones([1]).astype(np.int64) * 102)

tests/ut/python/ir/test_dtype.py

@@ -13,9 +13,9 @@
 # limitations under the License.
 # ============================================================================
 """test_dtype"""
+from dataclasses import dataclass
 import numpy as np
 import pytest
-from dataclasses import dataclass
 
 import mindspore as ms
 from mindspore.common import dtype

tests/ut/python/ir/test_tensor.py

@@ -34,7 +34,7 @@ ndarr = np.ones((2, 3))
 
 def test_tensor_flatten():
     with pytest.raises(AttributeError):
-        lst = [1, 2, 3, 4, ]
+        lst = [1, 2, 3, 4,]
         tensor_list = ms.Tensor(lst, ms.float32)
         tensor_list = tensor_list.Flatten()
         print(tensor_list)

tests/ut/python/model/test_bert_cell.py

@@ -107,7 +107,7 @@ class TrainStepWrapForAdamDynamicLr(nn.Cell):
 
 
 class TempC2Wrap(nn.Cell):
-    def __init__(self, op, c1=None, c2=None, ):
+    def __init__(self, op, c1=None, c2=None,):
         super(TempC2Wrap, self).__init__()
         self.op = op
         self.c1 = c1
@@ -387,7 +387,7 @@ test_case_cell_ops = [
         'block': set_train(nn.Dense(in_channels=768,
                                     out_channels=3072,
                                     activation='gelu',
-                                    weight_init=TruncatedNormal(0.02), )),
+                                    weight_init=TruncatedNormal(0.02),)),
         'desc_inputs': [[3, 768]],
         'desc_bprop': [[3, 3072]]}),
     ('GetNextSentenceOutput', {

tests/ut/python/nn/optim/test_lars.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import numpy as np
 from collections import Counter
+import numpy as np
 
 import mindspore.nn as nn
 from mindspore import Tensor, Parameter

tests/ut/python/nn/test_container.py

@@ -13,9 +13,9 @@
 # limitations under the License.
 # ============================================================================
 """ test container """
+from collections import OrderedDict
 import numpy as np
 import pytest
-from collections import OrderedDict
 
 import mindspore.nn as nn
 from mindspore import Tensor

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/nn/test_parameter.py

@@ -54,7 +54,6 @@ def test_parameter_tuple_illegal():
 
 
 def test_parameter_init_illegal():
-    import numpy as np
     dat = np.array([[1, 2, 3], [2, 3, 4]])
     tensor = Tensor(dat)
     data_none = None

tests/ut/python/onnx/test_onnx.py

@@ -13,13 +13,11 @@
 # limitations under the License.
 # ============================================================================
 """ut for model serialize(save/load)"""
-import numpy as np
 import os
-import pytest
 import stat
-import time
+import numpy as np
+import pytest
 
-import mindspore.common.dtype as mstype
 import mindspore.nn as nn
 from mindspore import context
 from mindspore.common.parameter import Parameter

tests/ut/python/predict/test_predict_save_model.py

@@ -20,8 +20,8 @@ Usage:
 """
 
 import argparse
-import numpy as np
 import os
+import numpy as np
 
 import mindspore.context as context
 import mindspore.nn as nn

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_graph_summary.py

@@ -14,8 +14,8 @@
 # ============================================================================
 """ test_graph_summary """
 import logging
-import numpy as np
 import os
+import numpy as np
 
 import mindspore.nn as nn
 from mindspore import Model, context

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

@@ -15,9 +15,9 @@
 """Test histogram summary."""
 
 import logging
-import numpy as np
 import os
 import tempfile
+import numpy as np
 
 from mindspore.common.tensor import Tensor
 from mindspore.train.summary._summary_adapter import _calc_histogram_bins

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

@@ -19,8 +19,8 @@
 @Desc  : test summary function
 """
 import logging
-import numpy as np
 import os
+import numpy as np
 
 import mindspore.nn as nn
 from mindspore import Model, context

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

@@ -19,10 +19,11 @@
 @Desc  : test summary function
 """
 import logging
-import numpy as np
 import os
-import pytest
 import random
+import numpy as np
+import pytest
+
 
 import mindspore.nn as nn
 from mindspore.common.tensor import Tensor
@@ -127,7 +128,7 @@ 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_summary_abnormal_input.py

@@ -19,8 +19,8 @@
 @Desc  : test summary function of abnormal input
 """
 import logging
-import numpy as np
 import os
+import numpy as np
 
 from mindspore.common.tensor import Tensor
 from mindspore.train.summary.summary_record import SummaryRecord

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

@@ -19,8 +19,8 @@
 @Desc  : test summary function
 """
 import logging
-import numpy as np
 import os
+import numpy as np
 
 import mindspore.nn as nn
 from mindspore.common.tensor import Tensor
@@ -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_callback.py

@@ -13,10 +13,10 @@
 # limitations under the License.
 # ============================================================================
 """test callback function."""
-import numpy as np
 import os
-import pytest
 import stat
+import numpy as np
+import pytest
 
 import mindspore.common.dtype as mstype
 import mindspore.nn as nn

tests/ut/python/utils/test_initializer.py

@@ -14,9 +14,9 @@
 # ============================================================================
 """ test_initializer """
 import math
+from functools import reduce
 import numpy as np
 import pytest as py
-from functools import reduce
 from scipy import stats
 
 import mindspore as ms

tests/ut/python/utils/test_serialize.py

@@ -13,11 +13,11 @@
 # limitations under the License.
 # ============================================================================
 """ut for model serialize(save/load)"""
-import numpy as np
 import os
-import pytest
 import stat
 import time
+import pytest
+import numpy as np
 
 import mindspore.common.dtype as mstype
 import mindspore.nn as nn
@@ -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)