!1218 clean pylint warning in test about import

Merge pull request !1218 from jinyaohui/pylint1

tests/dataset_mock.py

@@ -14,6 +14,7 @@
 # ============================================================================
 '''Remove after MindData merge to MindSpore '''
 import numpy as np
+
 from mindspore import Tensor
 
 

tests/mindspore_test_framework/apps/bert_attention_submodules.py

@@ -19,13 +19,14 @@
 
 import math
 import numpy as np
+
 import mindspore.common.dtype as mstype
 import mindspore.ops.functional as F
 from mindspore import nn
 from mindspore.common.initializer import TruncatedNormal
-from mindspore.ops import operations as P
 from mindspore.common.tensor import Tensor
 from mindspore.model_zoo.Bert_NEZHA.bert_model import SaturateCast, RelaPosEmbeddingsGenerator
+from mindspore.ops import operations as P
 
 
 class BertAttentionQueryKeyMul(nn.Cell):

tests/mindspore_test_framework/apps/test_bert_check_gradient.py

@@ -17,22 +17,19 @@
 
 import numpy as np
 
+import mindspore.common.dtype as mstype
+from mindspore import context, nn
 from mindspore.model_zoo.Bert_NEZHA import GetNextSentenceOutput, BertNetworkWithLoss
 from mindspore.model_zoo.Bert_NEZHA.bert_model import BertConfig, \
     EmbeddingLookup, EmbeddingPostprocessor, BertOutput, \
     BertAttention, BertSelfAttention, SaturateCast, TruncatedNormal, \
     BertEncoderCell, BertTransformer, CreateAttentionMaskFromInputMask, BertModel
-
-from mindspore import context, nn
-import mindspore.common.dtype as mstype
-
+from .bert_attention_submodules import BertAttentionQueryKeyMul, BertAttentionRelativePositionKeys, \
+    BertAttentionMaskBackward, BertAttentionSoftmax, BertAttentionRelativePositionValues, BertDense
+from ..mindspore_test import mindspore_test
 from ..pipeline.gradient.compare_gradient import \
     pipeline_for_compare_inputs_grad_with_numerical_diff_for_group_by_group_config, \
     pipeline_for_compare_params_grad_with_numerical_diff_for_group_by_group_config
-from ..mindspore_test import mindspore_test
-
-from .bert_attention_submodules import BertAttentionQueryKeyMul, BertAttentionRelativePositionKeys, \
-    BertAttentionMaskBackward, BertAttentionSoftmax, BertAttentionRelativePositionValues, BertDense
 
 verification_set = {
     'inputs': [

tests/mindspore_test_framework/apps/test_bert_compare_with_npy.py

@@ -16,6 +16,7 @@
 """Test bert compare with npy."""
 
 import numpy as np
+
 import mindspore.common.dtype as mstype
 from mindspore import context
 from mindspore.model_zoo.Bert_NEZHA.bert_model import BertAttention, SaturateCast, \
@@ -25,12 +26,11 @@ from mindspore.model_zoo.Bert_NEZHA.bert_model import BertAttention, SaturateCas
     BertSelfAttention, CreateAttentionMaskFromInputMask, \
     RelaPosMatrixGenerator, BertOutput, \
     RelaPosEmbeddingsGenerator
-
+from .bert_attention_submodules import BertAttentionQueryKeyMul, BertAttentionRelativePositionKeys, BertAttentionMask, \
+    BertAttentionSoftmax, BertAttentionRelativePositionValues, BertDense
 from ..mindspore_test import mindspore_test
 from ..pipeline.forward.compare_forward import \
     pipeline_for_compare_forward_with_npy_for_group_by_group_config_using_group_policy
-from .bert_attention_submodules import BertAttentionQueryKeyMul, BertAttentionRelativePositionKeys, BertAttentionMask, \
-    BertAttentionSoftmax, BertAttentionRelativePositionValues, BertDense
 
 verification_set = {
     'inputs': [

tests/mindspore_test_framework/apps/test_bert_ops_check_gradient.py

@@ -17,11 +17,10 @@
 
 from mindspore import context
 from mindspore.ops import operations as P
-
+from ..mindspore_test import mindspore_test
 from ..pipeline.gradient.compare_gradient import \
     pipeline_for_compare_inputs_grad_with_numerical_diff_for_group_by_group_config, \
     pipeline_for_compare_inputs_jacobian_with_numerical_diff_for_group_by_group_config
-from ..mindspore_test import mindspore_test
 
 # from ...vm_impl import *
 

tests/mindspore_test_framework/apps/test_bert_parts.py

@@ -15,20 +15,20 @@
 
 """Test bert submodules."""
 
-import os
 import numpy as np
+import os
+
+from mindspore import Tensor
+from mindspore import nn, context
 from mindspore.model_zoo.Bert_NEZHA import EmbeddingLookup, GetMaskedLMOutput, \
     BertConfig, BertPreTraining, BertNetworkWithLoss
 from mindspore.model_zoo.Bert_NEZHA.bert_model import BertModel
-
-from mindspore import nn, context
-from mindspore import Tensor
-from ..utils.block_util import get_output_cell
 from ..mindspore_test import mindspore_test
 from ..pipeline.forward.compile_forward import pipeline_for_compile_forward_anf_graph_for_case_by_case_config, \
     pipeline_for_compile_forward_ge_graph_for_case_by_case_config
 from ..pipeline.gradient.compile_gradient import pipeline_for_compile_grad_anf_graph_for_case_by_case_config, \
     pipeline_for_compile_grad_ge_graph_for_case_by_case_config
+from ..utils.block_util import get_output_cell
 from ...dataset_mock import MindData
 
 # pylint: disable=missing-docstring, W0612, arguments-differ

tests/mindspore_test_framework/apps/test_lamb_check_loss.py

@@ -18,9 +18,9 @@
 from mindspore import context
 from mindspore.nn.optim import Lamb
 from ..mindspore_test import mindspore_test
+from ..pipeline.gradient.check_training import pipeline_for_check_model_loss_for_case_by_case_config
 from ..utils.model_util import Linreg
 from ..utils.model_util import SquaredLoss
-from ..pipeline.gradient.check_training import pipeline_for_check_model_loss_for_case_by_case_config
 
 network = Linreg(2)
 num_epochs = 1000

tests/mindspore_test_framework/apps/test_reid_gradient_compare_with_pytorch.py

@@ -19,7 +19,6 @@ import numpy as np
 
 from mindspore import context
 from mindspore.ops import operations as P
-
 from ..mindspore_test import mindspore_test
 from ..pipeline.gradient.compare_gradient import pipeline_for_compare_inputs_grad_with_npy_for_case_by_case_config
 from ...vm_impl import *

tests/mindspore_test_framework/components/executor/check_exceptions.py

@@ -15,8 +15,8 @@
 
 """Component that Check if the function raises the expected Exception."""
 
-import sys
 import pytest
+import sys
 
 from ...components.icomponent import IExectorComponent
 from ...utils import keyword

tests/mindspore_test_framework/components/executor/exec_and_verify_model_loss.py

@@ -16,8 +16,8 @@
 """Component that verify if the model can converge to expected loss."""
 
 from ...components.icomponent import IExectorComponent
-from ...utils.model_util import Model
 from ...utils import keyword
+from ...utils.model_util import Model
 
 
 class LossVerifierEC(IExectorComponent):

tests/mindspore_test_framework/components/facade/me_facade.py

@@ -18,8 +18,8 @@
 import numpy as np
 
 from ...components.icomponent import IFacadeComponent
-from ...utils.facade_util import get_block_config, fill_block_config
 from ...utils import keyword
+from ...utils.facade_util import get_block_config, fill_block_config
 
 
 class MeFacadeFC(IFacadeComponent):

tests/mindspore_test_framework/components/inputs/generate_dataset_for_linear_regression.py

@@ -16,8 +16,8 @@
 """Component that generate dataset for linear regression."""
 
 from ...components.icomponent import IDataComponent
-from ...utils.dataset_util import generate_dataset_for_linear_regression
 from ...utils import keyword
+from ...utils.dataset_util import generate_dataset_for_linear_regression
 
 
 class GenerateDataSetForLRDC(IDataComponent):

tests/mindspore_test_framework/components/inputs/generate_inputs_from_shape.py

@@ -16,12 +16,12 @@
 """Component that generate inputs for specified shape type."""
 
 import numpy as np
-from mindspore.common.tensor import Tensor
 
+from mindspore.common.tensor import Tensor
 from ...components.icomponent import IDataComponent
-from ...utils.other_util import shape2tensor
-from ...utils.config_util import get_input_config
 from ...utils import keyword
+from ...utils.config_util import get_input_config
+from ...utils.other_util import shape2tensor
 
 
 class GenerateFromShapeDC(IDataComponent):

tests/mindspore_test_framework/components/inputs/load_inputs_from_npy.py

@@ -16,8 +16,8 @@
 """Component that load inputs from npy file."""
 
 from ...components.icomponent import IDataComponent
-from ...utils.npy_util import load_data_from_npy_or_shape
 from ...utils import keyword
+from ...utils.npy_util import load_data_from_npy_or_shape
 
 
 class LoadFromNpyDC(IDataComponent):

tests/mindspore_test_framework/components/verifier/compare_forward.py

@@ -16,8 +16,8 @@
 """Component that comparing forward result with baseline functions."""
 
 from ...components.icomponent import IVerifierComponent
-from ...utils.compare_util import compare
 from ...utils import keyword
+from ...utils.compare_util import compare
 
 
 class CompareWithVC(IVerifierComponent):

tests/mindspore_test_framework/components/verifier/compare_gradient.py

@@ -16,8 +16,8 @@
 """Component that comparing gradients with baseline functions."""
 
 from ...components.icomponent import IVerifierComponent
-from ...utils.compare_util import compare
 from ...utils import keyword
+from ...utils.compare_util import compare
 
 
 class CompareGradientWithVC(IVerifierComponent):

tests/mindspore_test_framework/components/verifier/verify_expect_from_npy.py

@@ -16,11 +16,12 @@
 """Component that comparing results with expectation serialized as npy file."""
 
 import numpy as np
+
 from ...components.icomponent import IVerifierComponent
-from ...utils.other_util import to_numpy_list, to_numpy
-from ...utils.npy_util import load_data_from_npy_or_shape
-from ...utils.verifier_util import tolerance_assert
 from ...utils import keyword
+from ...utils.npy_util import load_data_from_npy_or_shape
+from ...utils.other_util import to_numpy_list, to_numpy
+from ...utils.verifier_util import tolerance_assert
 
 
 class LoadFromNpyVC(IVerifierComponent):

tests/mindspore_test_framework/components/verifier/verify_shapetype.py

@@ -16,8 +16,8 @@
 """Component that verify shape and type."""
 
 from ...components.icomponent import IVerifierComponent
-from ...utils.other_util import to_numpy_list
 from ...utils import keyword
+from ...utils.other_util import to_numpy_list
 
 
 class ShapeTypeVC(IVerifierComponent):

tests/mindspore_test_framework/mindspore_test.py

@@ -17,6 +17,7 @@
 
 import logging
 import pytest
+
 from .components.icomponent import IDataComponent, IBuilderComponent, IExectorComponent, \
     IVerifierComponent, IFIPolicyComponent, IERPolicyComponent, IComponent, \
     IFacadeComponent

tests/mindspore_test_framework/pipeline/forward/compare_forward.py

@@ -15,18 +15,18 @@
 
 """Pipelines for forward comparison."""
 
-from ...components.expect_result_policy.cartesian_product_on_id_for_expect_result import IdCartesianProductERPC
-from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
 from ...components.executor.exec_forward import IdentityEC
-from ...components.function.run_block import RunBlockBC
-from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
-from ...components.verifier.compare_forward import CompareWithVC
+from ...components.expect_result_policy.cartesian_product_on_id_for_expect_result import IdCartesianProductERPC
 from ...components.facade.me_facade import MeFacadeFC
-from ...components.inputs.load_inputs_from_npy import LoadFromNpyDC
-from ...components.verifier.verify_expect_from_npy import LoadFromNpyVC
 from ...components.function.init_params_with_rand_and_run_block import RunBlockWithRandParamBC
+from ...components.function.run_block import RunBlockBC
 from ...components.function_inputs_policy.cartesian_product_on_group_for_function_inputs import \
     GroupCartesianProductFIPC
+from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
+from ...components.inputs.load_inputs_from_npy import LoadFromNpyDC
+from ...components.verifier.compare_forward import CompareWithVC
+from ...components.verifier.verify_expect_from_npy import LoadFromNpyVC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/pipeline/forward/compile_forward.py

@@ -15,13 +15,13 @@
 
 """Pipelines for forward computing."""
 
-from ...components.facade.me_facade import MeFacadeFC
-from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
-from ...components.executor.exec_forward import IdentityEC
 from ...components.executor.check_exceptions import CheckExceptionsEC
-from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.executor.exec_forward import IdentityEC
+from ...components.facade.me_facade import MeFacadeFC
 from ...components.function.compile_block import CompileBlockBC
 from ...components.function.run_block import RunBlockBC
+from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/pipeline/forward/verify_exception.py

@@ -16,10 +16,10 @@
 """Pipelines for exception checking."""
 
 from ...components.executor.check_exceptions import CheckExceptionsEC
-from ...components.inputs.get_inputs_from_config import IdentityDC
-from ...components.function.get_function_from_config import IdentityBC
 from ...components.facade.me_facade import MeFacadeFC
+from ...components.function.get_function_from_config import IdentityBC
 from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.inputs.get_inputs_from_config import IdentityDC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/pipeline/forward/verify_shapetype.py

@@ -15,13 +15,13 @@
 
 """Pipelines for shape and type checking."""
 
-from ...components.inputs.get_inputs_from_config import IdentityDC
-from ...components.function.get_function_from_config import IdentityBC
 from ...components.executor.exec_forward import IdentityEC
 from ...components.expect_result_policy.cartesian_product_on_group_for_expect_result \
     import GroupCartesianProductERPC
+from ...components.function.get_function_from_config import IdentityBC
 from ...components.function_inputs_policy.cartesian_product_on_group_for_function_inputs \
     import GroupCartesianProductFIPC
+from ...components.inputs.get_inputs_from_config import IdentityDC
 from ...components.verifier.verify_shapetype import ShapeTypeVC
 
 # pylint: disable=W0105

tests/mindspore_test_framework/pipeline/gradient/check_training.py

@@ -15,11 +15,11 @@
 
 """Pipelines for loss checking."""
 
-from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.executor.exec_and_verify_model_loss import LossVerifierEC
 from ...components.facade.me_facade import MeFacadeFC
 from ...components.function.get_function_from_config import IdentityBC
+from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
 from ...components.inputs.generate_dataset_for_linear_regression import GenerateDataSetForLRDC
-from ...components.executor.exec_and_verify_model_loss import LossVerifierEC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/pipeline/gradient/compare_gradient.py

@@ -15,20 +15,20 @@
 
 """Pipelines for gradients comparison."""
 
-from ...components.expect_result_policy.cartesian_product_on_id_for_expect_result import IdCartesianProductERPC
-from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
-from ...components.executor.exec_gradient import IdentityBackwardEC
-from ...components.function.run_gradient_wrt_inputs import RunBackwardBlockWrtInputsBC
-from ...components.function.run_gradient_wrt_params import RunBackwardBlockWrtParamsBC
-from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
-from ...components.verifier.compare_gradient import CompareGradientWithVC
-from ...components.facade.me_facade import MeFacadeFC
-from ...components.inputs.load_inputs_from_npy import LoadFromNpyDC
-from ...components.verifier.verify_expect_from_npy import LoadFromNpyVC
-from ...components.function.get_function_from_config import IdentityBC
 from ...components.executor.check_gradient_wrt_inputs import CheckGradientWrtInputsEC
 from ...components.executor.check_gradient_wrt_params import CheckGradientWrtParamsEC
 from ...components.executor.check_jacobian_wrt_inputs import CheckJacobianWrtInputsEC
+from ...components.executor.exec_gradient import IdentityBackwardEC
+from ...components.expect_result_policy.cartesian_product_on_id_for_expect_result import IdCartesianProductERPC
+from ...components.facade.me_facade import MeFacadeFC
+from ...components.function.get_function_from_config import IdentityBC
+from ...components.function.run_gradient_wrt_inputs import RunBackwardBlockWrtInputsBC
+from ...components.function.run_gradient_wrt_params import RunBackwardBlockWrtParamsBC
+from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
+from ...components.inputs.load_inputs_from_npy import LoadFromNpyDC
+from ...components.verifier.compare_gradient import CompareGradientWithVC
+from ...components.verifier.verify_expect_from_npy import LoadFromNpyVC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/pipeline/gradient/compile_gradient.py

@@ -15,12 +15,12 @@
 
 """Pipelines for gradients."""
 
-from ...components.facade.me_facade import MeFacadeFC
-from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
 from ...components.executor.exec_gradient import IdentityBackwardEC
-from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.facade.me_facade import MeFacadeFC
 from ...components.function.compile_gradient_wrt_inputs import CompileBackwardBlockWrtInputsBC
 from ...components.function.run_gradient_wrt_inputs import RunBackwardBlockWrtInputsBC
+from ...components.function_inputs_policy.cartesian_product_on_id_for_function_inputs import IdCartesianProductFIPC
+from ...components.inputs.generate_inputs_from_shape import GenerateFromShapeDC
 
 # pylint: disable=W0105
 """

tests/mindspore_test_framework/utils/block_util.py

@@ -19,13 +19,13 @@
 
 import numpy as np
 
+from mindspore import ParameterTuple
+from mindspore import nn, context
 from mindspore.common.api import _executor, ms_function
 from mindspore.common.tensor import Tensor
-from mindspore import nn, context
-from mindspore.ops.composite import GradOperation
 from mindspore.ops import functional as F
 from mindspore.ops import operations as P
-from mindspore import ParameterTuple
+from mindspore.ops.composite import GradOperation
 from . import keyword
 
 

tests/mindspore_test_framework/utils/bprop_util.py

@@ -15,11 +15,11 @@
 
 """Utils for computing gradients."""
 
-from mindspore.ops.composite.base import GradOperation
 from mindspore import context
-from mindspore.nn import Cell
 from mindspore.common import ParameterTuple
 from mindspore.common.api import ms_function
+from mindspore.nn import Cell
+from mindspore.ops.composite.base import GradOperation
 
 
 class Bprop(Cell):

tests/mindspore_test_framework/utils/check_gradient.py

@@ -16,14 +16,15 @@
 """Implementation of Numerical gradients checking."""
 # pylint: disable=missing-docstring
 
-from typing import Callable, List, Any
+import mindspore._c_expression as _c_expression
 import numpy as np
-from mindspore import Tensor
-from mindspore.ops.composite import GradOperation
+from typing import Callable, List, Any
+
 from mindspore import ParameterTuple
+from mindspore import Tensor
 from mindspore import context
 from mindspore.common.api import ms_function
-import mindspore._c_expression as _c_expression
+from mindspore.ops.composite import GradOperation
 from .block_util import get_output_cell, gen_net, gen_grad_net, \
     get_uniform_with_shape, set_block_phase, get_output_reduce_cell, set_block_param_with_rand
 

tests/mindspore_test_framework/utils/compare_util.py

@@ -16,8 +16,9 @@
 """Utils for baseline comparison test."""
 
 import numpy as np
-from .other_util import to_numpy_list
+
 from . import keyword
+from .other_util import to_numpy_list
 
 
 def compare(expect, func_result, baseline):

tests/mindspore_test_framework/utils/dataset_util.py

@@ -15,8 +15,9 @@
 
 """Dataset utils."""
 
-import random
 import numpy as np
+import random
+
 from mindspore import Tensor
 
 

tests/mindspore_test_framework/utils/debug_util.py

@@ -18,6 +18,7 @@
 # pylint: disable=missing-docstring, unused-argument
 
 import logging
+
 import mindspore.nn as nn
 from mindspore.ops import operations as P
 from mindspore.ops._grad.grad_base import bprop_getters

tests/mindspore_test_framework/utils/model_util.py

@@ -18,11 +18,12 @@
 # pylint: disable=arguments-differ
 
 import numpy as np
-from mindspore import Parameter, ParameterTuple, Tensor
+
 import mindspore.nn as nn
-from mindspore.ops import operations as P
-from mindspore.ops import functional as F
+from mindspore import Parameter, ParameterTuple, Tensor
 from mindspore.ops import composite as C
+from mindspore.ops import functional as F
+from mindspore.ops import operations as P
 
 
 class SquaredLoss(nn.Cell):

tests/mindspore_test_framework/utils/npy_util.py

@@ -18,9 +18,8 @@
 import numpy as np
 
 from mindspore.common.tensor import Tensor
-
-from .other_util import shape2tensor
 from .config_util import get_expect_config
+from .other_util import shape2tensor
 
 
 def load_npy(p):

tests/mindspore_test_framework/utils/other_util.py

@@ -15,9 +15,9 @@
 
 """Other utils."""
 
+import mindspore._c_expression as _c_expression
 import numpy as np
 
-import mindspore._c_expression as _c_expression
 from mindspore.common.tensor import Tensor
 
 

tests/ops_common.py

@@ -14,6 +14,7 @@
 # ============================================================================
 """ test ops """
 import numpy as np
+
 import mindspore.nn as nn
 import mindspore.ops.composite as C
 import mindspore.ops.functional as F

tests/perf_test/mindrecord/imagenet/perf_read_imagenet.py

@@ -13,9 +13,8 @@
 # limitations under the License.
 # ============================================================================
 """test dataset performance about mindspore.MindDataset, mindspore.TFRecordDataset, tf.data.TFRecordDataset"""
-import time
-
 import tensorflow as tf
+import time
 
 import mindspore.dataset as ds
 from mindspore.mindrecord import FileReader

tests/st/auto_parallel/onehot_model_parallel.py

@@ -13,15 +13,16 @@
 # limitations under the License.
 # ============================================================================
 
+import numpy as np
 import os
 import pytest
-import numpy as np
+
 import mindspore as ms
+import mindspore.communication.management as distributedTool
+import mindspore.context as context
+from mindspore.common.tensor import Tensor
 from mindspore.nn import Cell
 from mindspore.ops import operations as P
-from mindspore.common.tensor import Tensor
-import mindspore.context as context
-import mindspore.communication.management as distributedTool
 
 device_num = 2
 device_id = int(os.getenv('DEVICE_ID'))

tests/st/auto_parallel/soft_entropy_loss_expand_parallel.py

@@ -13,22 +13,23 @@
 # limitations under the License.
 # ============================================================================
 
+import numpy as np
 import os
 import pytest
-import numpy as np
-import mindspore as ms
 from numpy import allclose
-from mindspore.nn import Cell
-from mindspore import context
-from mindspore.ops import operations as P
-from mindspore.ops import functional as F
-from mindspore.common.tensor import Tensor
+
+import mindspore as ms
 import mindspore.communication.management as distributedTool
-from mindspore.common.parameter import ParameterTuple, Parameter
-from mindspore.ops import composite as C
+from mindspore import context
 from mindspore.common import dtype as mstype
-from mindspore.train import Model, ParallelMode
+from mindspore.common.parameter import ParameterTuple, Parameter
+from mindspore.common.tensor import Tensor
+from mindspore.nn import Cell
 from mindspore.nn.optim.momentum import Momentum
+from mindspore.ops import composite as C
+from mindspore.ops import functional as F
+from mindspore.ops import operations as P
+from mindspore.train import Model, ParallelMode
 from mindspore.train.callback import Callback
 
 np.set_printoptions(threshold=np.inf)

tests/st/auto_parallel/test_resnet50_expand_loss_2p.py

@@ -13,22 +13,23 @@
 # limitations under the License.
 # ============================================================================
 
-import os
 import numpy as np
+import os
 import pytest
+
+import mindspore.common.dtype as mstype
 import mindspore.context as context
 import mindspore.nn as nn
-import mindspore.common.dtype as mstype
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.nn.optim.momentum import Momentum
-from mindspore.common.initializer import One
-from mindspore.train.model import Model, ParallelMode
-from mindspore.communication.management import init
 import mindspore.ops.functional as F
+from mindspore import Tensor
+from mindspore.common.initializer import One
+from mindspore.communication.management import init
 from mindspore.nn.loss.loss import _Loss
-from mindspore.train.callback import Callback
+from mindspore.nn.optim.momentum import Momentum
+from mindspore.ops import operations as P
 from mindspore.parallel import set_algo_parameters
+from mindspore.train.callback import Callback
+from mindspore.train.model import Model, ParallelMode
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 context.set_context(device_id=int(os.getenv('DEVICE_ID')))

tests/st/control/test_cont_break.py

@@ -13,10 +13,11 @@
 # limitations under the License.
 # ============================================================================
 """ test_cont_break """
-import pytest
 import numpy as np
-from mindspore.nn import Cell
+import pytest
+
 from mindspore import Tensor, Model, context
+from mindspore.nn import Cell
 
 
 def run_test(netclass, count, dev):

tests/st/control/test_multigraph_sink.py

@@ -14,10 +14,11 @@
 # ============================================================================
 """ test_multigraph_sink """
 import pytest
+
 import mindspore.context as context
-from mindspore.common.tensor import Tensor
 from mindspore.common import dtype as mstype
 from mindspore.common import ms_function
+from mindspore.common.tensor import Tensor
 
 
 def setup_module(module):

tests/st/control/test_while.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor, ms_function

tests/st/fusion/test_add_relu_buffer_fusion.py

@@ -13,9 +13,10 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
+import mindspore.common.dtype as mstype
 import mindspore.context as context
 import mindspore.nn as nn
-import mindspore.common.dtype as mstype
 from mindspore import Tensor, ms_function
 from mindspore.ops import operations as P
 

tests/st/fusion/test_conv_bn1_fusion.py

@@ -13,13 +13,14 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor, Parameter, Model, ms_function
-from mindspore.ops import operations as P
 from mindspore.common.initializer import initializer
 from mindspore.nn.loss import SoftmaxCrossEntropyWithLogits
 from mindspore.nn.optim import Momentum
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/fusion/test_tbe_eltwise_fusion_1.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor

tests/st/fusion/test_tbe_eltwise_fusion_2.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor

tests/st/fusion/test_tbe_multi_inout_eltwise_fusion.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor

tests/st/fusion/test_tbe_reduce_eltwise_fusion.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor

tests/st/gnn/aggregator.py

@@ -14,13 +14,13 @@
 # ============================================================================
 """Aggregator."""
 import mindspore.nn as nn
-from mindspore.ops import operations as P
-from mindspore.ops import functional as F
-from mindspore._extends import cell_attr_register
 from mindspore import Tensor, Parameter
-from mindspore.common.initializer import initializer
 from mindspore._checkparam import check_int_positive, check_bool
+from mindspore._extends import cell_attr_register
+from mindspore.common.initializer import initializer
 from mindspore.nn.layer.activation import get_activation
+from mindspore.ops import functional as F
+from mindspore.ops import operations as P
 
 
 class GNNFeatureTransform(nn.Cell):

tests/st/gnn/test_gnn_aggregator.py

@@ -14,13 +14,13 @@
 # ============================================================================
 """test gnn aggregator."""
 import numpy as np
+from aggregator import MeanAggregator, AttentionHead, AttentionAggregator
 
-import mindspore.nn as nn
 import mindspore.context as context
+import mindspore.nn as nn
+import mindspore.ops.composite as C
 from mindspore import Tensor
 from mindspore.common.api import _executor
-import mindspore.ops.composite as C
-from aggregator import MeanAggregator, AttentionHead, AttentionAggregator
 
 context.set_context(mode=context.GRAPH_MODE)
 

tests/st/mem_reuse/check_file.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import os
 import filecmp
+import os
 
 curr_path = os.path.abspath(os.curdir)
 file_memreuse = curr_path + "/mem_reuse_check/memreuse.ir"

tests/st/mem_reuse/resnet.py

@@ -13,11 +13,12 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.common.initializer import initializer
 from mindspore.common import dtype as mstype
+from mindspore.common.initializer import initializer
+from mindspore.ops import operations as P
 
 
 def weight_variable(shape):

tests/st/mem_reuse/resnet_cifar_memreuse.py

@@ -13,24 +13,25 @@
 # limitations under the License.
 # ============================================================================
 import argparse
-import os
 import numpy as np
-import mindspore.context as context
-import mindspore.nn as nn
+import os
+import random
+from resnet import resnet50
+
 import mindspore.common.dtype as mstype
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.ops import functional as F
-from mindspore.nn.optim.momentum import Momentum
-from mindspore.train.model import Model, ParallelMode
-from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor
-from mindspore.train.serialization import load_checkpoint, load_param_into_net
+import mindspore.context as context
 import mindspore.dataset as de
 import mindspore.dataset.transforms.c_transforms as C
 import mindspore.dataset.transforms.vision.c_transforms as vision
+import mindspore.nn as nn
+from mindspore import Tensor
 from mindspore.communication.management import init
-from resnet import resnet50
-import random
+from mindspore.nn.optim.momentum import Momentum
+from mindspore.ops import functional as F
+from mindspore.ops import operations as P
+from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor
+from mindspore.train.model import Model, ParallelMode
+from mindspore.train.serialization import load_checkpoint, load_param_into_net
 
 random.seed(1)
 np.random.seed(1)

tests/st/mem_reuse/resnet_cifar_normal.py

@@ -13,24 +13,25 @@
 # limitations under the License.
 # ============================================================================
 import argparse
-import os
 import numpy as np
-import mindspore.context as context
-import mindspore.nn as nn
+import os
+import random
+from resnet import resnet50
+
 import mindspore.common.dtype as mstype
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.ops import functional as F
-from mindspore.nn.optim.momentum import Momentum
-from mindspore.train.model import Model, ParallelMode
-from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor
-from mindspore.train.serialization import load_checkpoint, load_param_into_net
+import mindspore.context as context
 import mindspore.dataset as de
 import mindspore.dataset.transforms.c_transforms as C
 import mindspore.dataset.transforms.vision.c_transforms as vision
+import mindspore.nn as nn
+from mindspore import Tensor
 from mindspore.communication.management import init
-from resnet import resnet50
-import random
+from mindspore.nn.optim.momentum import Momentum
+from mindspore.ops import functional as F
+from mindspore.ops import operations as P
+from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor
+from mindspore.train.model import Model, ParallelMode
+from mindspore.train.serialization import load_checkpoint, load_param_into_net
 
 random.seed(1)
 np.random.seed(1)

tests/st/nccl/test_nccl_all_gather_op.py

@@ -13,13 +13,14 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.ops import operations as P
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
 from mindspore.communication.management import init, NCCL_WORLD_COMM_GROUP, get_rank, get_group_size
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target='GPU')
 

tests/st/nccl/test_nccl_all_reduce_op.py

@@ -13,13 +13,14 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.ops import operations as P
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
 from mindspore.communication.management import init, NCCL_WORLD_COMM_GROUP, get_rank, get_group_size
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target='GPU')
 

tests/st/nccl/test_nccl_lenet.py

@@ -14,14 +14,15 @@
 # ============================================================================
 import datetime
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.nn.optim import Momentum
-from mindspore.nn import TrainOneStepCell, WithLossCell
-from mindspore.ops import operations as P
-from mindspore.communication.management import init, get_rank, get_group_size
 from mindspore.common import dtype as mstype
+from mindspore.communication.management import init, get_rank, get_group_size
+from mindspore.nn import TrainOneStepCell, WithLossCell
+from mindspore.nn.optim import Momentum
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
 init('nccl')

tests/st/nccl/test_nccl_reduce_scatter_op.py

@@ -13,13 +13,14 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.ops import operations as P
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
 from mindspore.communication.management import init, NCCL_WORLD_COMM_GROUP, get_rank, get_group_size
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target='GPU')
 

tests/st/networks/models/alexnet.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 # ============================================================================
 import mindspore.nn as nn
-from mindspore.ops import operations as P
 from mindspore.nn import Dense
+from mindspore.ops import operations as P
 
 
 class AlexNet(nn.Cell):

tests/st/networks/models/bert/bert_tdt_lossscale.py

@@ -15,21 +15,22 @@
 
 """train bert network without lossscale"""
 
+import numpy as np
 import os
 import pytest
-import numpy as np
 from numpy import allclose
+
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine.datasets as de
 import mindspore.dataset.transforms.c_transforms as C
 from mindspore import context
+from mindspore import log as logger
 from mindspore.common.tensor import Tensor
-from mindspore.train.model import Model
-from mindspore.train.callback import Callback, LossMonitor
-from mindspore.train.loss_scale_manager import DynamicLossScaleManager
 from mindspore.model_zoo.Bert_NEZHA import BertConfig, BertNetworkWithLoss, BertTrainOneStepWithLossScaleCell
 from mindspore.nn.optim import Momentum
-from mindspore import log as logger
+from mindspore.train.callback import Callback, LossMonitor
+from mindspore.train.loss_scale_manager import DynamicLossScaleManager
+from mindspore.train.model import Model
 
 _current_dir = os.path.dirname(os.path.realpath(__file__))
 DATA_DIR = ["/home/workspace/mindspore_dataset/bert/example/examples.tfrecord"]

tests/st/networks/models/lenet.py

@@ -13,10 +13,11 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.ops import operations as P
 from mindspore.nn import Dense
+from mindspore.ops import operations as P
 
 
 class LeNet(nn.Cell):

tests/st/networks/models/resnetv1_5.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
+
 import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P

tests/st/networks/test_cpu_lenet.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor

tests/st/networks/test_gpu_alexnet.py

@@ -17,15 +17,16 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
+from mindspore.common.initializer import initializer
+from mindspore.nn import TrainOneStepCell, WithLossCell
 from mindspore.nn.optim import Momentum
 from mindspore.ops import operations as P
-from mindspore.nn import TrainOneStepCell, WithLossCell
-from mindspore.common.initializer import initializer
 
 context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
 

tests/st/networks/test_gpu_lenet.py

@@ -13,26 +13,26 @@
 # limitations under the License.
 # ============================================================================
 
+import numpy as np
 import os
 import pytest
-import numpy as np
-from mindspore import Tensor
+
 import mindspore.context as context
-from mindspore.ops import operations as P
+import mindspore.dataset as ds
+import mindspore.dataset.transforms.c_transforms as C
+import mindspore.dataset.transforms.vision.c_transforms as CV
 import mindspore.nn as nn
-from mindspore.nn import Dense, TrainOneStepCell, WithLossCell
-from mindspore.nn.optim import Momentum
-from mindspore.nn.metrics import Accuracy
-from mindspore.train import Model
+from mindspore import Tensor
 from mindspore.common import dtype as mstype
 from mindspore.common.initializer import initializer
-from mindspore.model_zoo.lenet import LeNet5
-from mindspore.train.callback import LossMonitor
-
-import mindspore.dataset as ds
-import mindspore.dataset.transforms.vision.c_transforms as CV
-import mindspore.dataset.transforms.c_transforms as C
 from mindspore.dataset.transforms.vision import Inter
+from mindspore.model_zoo.lenet import LeNet5
+from mindspore.nn import Dense, TrainOneStepCell, WithLossCell
+from mindspore.nn.metrics import Accuracy
+from mindspore.nn.optim import Momentum
+from mindspore.ops import operations as P
+from mindspore.train import Model
+from mindspore.train.callback import LossMonitor
 
 context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
 

tests/st/networks/test_gpu_lstm.py

@@ -13,17 +13,18 @@
 # limitations under the License.
 # ============================================================================
 
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
-from mindspore.nn.optim import Momentum
-from mindspore.ops import operations as P
-from mindspore.nn import TrainOneStepCell, WithLossCell
-from mindspore.nn import Dense
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.nn import Dense
+from mindspore.nn import TrainOneStepCell, WithLossCell
+from mindspore.nn.optim import Momentum
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
 

tests/st/networks/test_gpu_resnet.py

@@ -17,22 +17,23 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import pytest
 import numpy as np
+import pytest
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
+from mindspore import amp
+from mindspore.nn import Dense
+from mindspore.nn import TrainOneStepCell, WithLossCell
 from mindspore.nn.cell import Cell
-from mindspore.nn.layer.conv import Conv2d
 from mindspore.nn.layer.basic import Flatten
+from mindspore.nn.layer.conv import Conv2d
 from mindspore.nn.layer.normalization import BatchNorm2d
 from mindspore.nn.layer.pooling import MaxPool2d
-from mindspore.ops.operations import TensorAdd
 from mindspore.nn.optim import Momentum
 from mindspore.ops import operations as P
-from mindspore.nn import TrainOneStepCell, WithLossCell
-from mindspore.nn import Dense
-from mindspore import amp
+from mindspore.ops.operations import TensorAdd
 
 context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
 

tests/st/networks/test_network_main.py

@@ -18,18 +18,19 @@ Function:
 Usage:
     python test_network_main.py --net lenet --target Ascend
 """
+import argparse
+import numpy as np
 import os
 import time
-import numpy as np
-import argparse
+from models.alexnet import AlexNet
+from models.lenet import LeNet
+from models.resnetv1_5 import resnet50
+
 import mindspore.context as context
 import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.nn import TrainOneStepCell, WithLossCell
 from mindspore.nn.optim import Momentum
-from models.lenet import LeNet
-from models.resnetv1_5 import resnet50
-from models.alexnet import AlexNet
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_add.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+import numpy as np
+
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P
-import mindspore.nn as nn
-import numpy as np
-import mindspore.context as context
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_addn.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_aicpu_ops/test_expand_dims.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_aicpu_ops/test_flatten.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+import numpy as np
+
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P
-import mindspore.nn as nn
-import numpy as np
-import mindspore.context as context
 
 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_aicpu_ops/test_is_finite.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_aicpu_ops/test_reshape.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_aicpu_ops/test_squeeze.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+import numpy as np
+
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P
-import mindspore.nn as nn
-import numpy as np
-import mindspore.context as context
 
 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_apply_momentum.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_argmax.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_biasAddGrad.py

@@ -12,15 +12,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.ops.operations import _grad_ops as G
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
+from mindspore.ops.operations import _grad_ops as G
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_bias_add_grad.py

@@ -12,15 +12,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.ops.operations import _grad_ops as G
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
+from mindspore.ops.operations import _grad_ops as G
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_conv.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_conv2dGradFilter.py

@@ -12,15 +12,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-from mindspore.ops.operations import _grad_ops as G
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
+from mindspore.ops.operations import _grad_ops as G
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_conv_grad.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 context.set_context(device_target="Ascend")

tests/st/ops/ascend/test_dense.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_dense_grad.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 context.set_context(device_target="Ascend")

tests/st/ops/ascend/test_drop_out_gen_mask.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+import numpy as np
+
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P
-import mindspore.nn as nn
-import numpy as np
-import mindspore.context as context
 
 context.set_context(mode=context.GRAPH_MODE,
                     device_target="Ascend")

tests/st/ops/ascend/test_equal_count.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+import numpy as np
+
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.ops import operations as P
-import mindspore.nn as nn
-import numpy as np
-import mindspore.context as context
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_full_connection.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_fused_batchnorm.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
 

tests/st/ops/ascend/test_fused_batchnorm_grad.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 # context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")

tests/st/ops/ascend/test_image_gradients.py

@@ -13,9 +13,10 @@
 # limitations under the License.
 # ============================================================================
 import numpy as np
-import mindspore.nn as nn
-import mindspore.context as context
+
 import mindspore.common.dtype as mstype
+import mindspore.context as context
+import mindspore.nn as nn
 from mindspore import Tensor
 from mindspore.common.api import ms_function
 

tests/st/ops/ascend/test_matmul.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_maxpool.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_maxpool_grad.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 context.set_context(device_target="Ascend")

tests/st/ops/ascend/test_maxpool_with_argmax.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_maxpool_with_argmax_grad.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 context.set_context(device_target="Ascend")

tests/st/ops/ascend/test_relu.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_relu_grad.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 from mindspore.ops.composite import GradOperation
 
 context.set_context(device_target="Ascend")

tests/st/ops/ascend/test_reshape.py

@@ -12,12 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")
 

tests/st/ops/ascend/test_simplemean.py

@@ -12,14 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-from mindspore import Tensor
-from mindspore.ops import operations as P
-import mindspore.nn as nn
-from mindspore.common.api import ms_function
 import numpy as np
+
 import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.common.api import ms_function
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter
+from mindspore.ops import operations as P
 
 context.set_context(device_target="Ascend")