mode_train

mindspore/train/__init__.py

@@ -20,5 +20,11 @@ Helper functions in train piplines.
 from .model import Model
 from .dataset_helper import DatasetHelper, connect_network_with_dataset
 from . import amp
+from .amp import build_train_network
+from .loss_scale_manager import LossScaleManager, FixedLossScaleManager, DynamicLossScaleManager
+from .serialization import save_checkpoint, load_checkpoint, load_param_into_net, export, parse_print,\
+    build_searched_strategy, merge_sliced_parameter
 
-__all__ = ["Model", "DatasetHelper", "amp", "connect_network_with_dataset"]
+__all__ = ["Model", "DatasetHelper", "amp", "connect_network_with_dataset", "build_train_network", "LossScaleManager",
+           "FixedLossScaleManager", "DynamicLossScaleManager", "save_checkpoint", "load_checkpoint",
+           "load_param_into_net", "export", "parse_print", "build_searched_strategy", "merge_sliced_parameter"]

mindspore/train/amp.py

@@ -26,8 +26,6 @@ from .loss_scale_manager import DynamicLossScaleManager, LossScaleManager
 from ..context import ParallelMode
 from .. import context
 
-__all__ = ["build_train_network"]
-
 
 class OutputTo16(nn.Cell):
     "Wrap cell for amp. Cast network output back to float16"

mindspore/train/loss_scale_manager.py

@@ -17,8 +17,6 @@
 from .._checkparam import Validator as validator
 from .. import nn
 
-__all__ = ["LossScaleManager", "FixedLossScaleManager", "DynamicLossScaleManager"]
-
 
 class LossScaleManager:
     """Loss scale manager abstract class."""

mindspore/train/serialization.py

@@ -33,8 +33,6 @@ from mindspore._checkparam import check_input_data, Validator
 from mindspore.compression.export import quant_export
 import mindspore.context as context
 
-__all__ = ["save_checkpoint", "load_checkpoint", "load_param_into_net", "export", "parse_print",
-           "build_searched_strategy", "merge_sliced_parameter"]
 
 tensor_to_ms_type = {"Int8": mstype.int8, "Uint8": mstype.uint8, "Int16": mstype.int16, "Uint16": mstype.uint16,
                      "Int32": mstype.int32, "Uint32": mstype.uint32, "Int64": mstype.int64, "Uint64": mstype.uint64,

model_zoo/official/cv/alexnet/export.py

@@ -20,9 +20,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-from mindspore import context
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import alexnet_cifar10_cfg, alexnet_imagenet_cfg
 from src.alexnet import AlexNet

model_zoo/official/cv/cnnctc/export.py

@@ -16,9 +16,8 @@
 import argparse
 import numpy as np
 
-from mindspore import Tensor, context
+from mindspore import Tensor, context, load_checkpoint, export
 import mindspore.common.dtype as mstype
-from mindspore.train.serialization import load_checkpoint, export
 
 from src.config import Config_CNNCTC
 from src.cnn_ctc import CNNCTC_Model

model_zoo/official/cv/deeplabv3/export.py

@@ -16,10 +16,7 @@
 import argparse
 import numpy as np
 
-from mindspore import Tensor
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore import context
-from mindspore.train.serialization import load_checkpoint, load_param_into_net
-from mindspore.train.serialization import export
 
 from src.nets import net_factory
 

model_zoo/official/cv/faster_rcnn/export.py

@@ -17,8 +17,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.FasterRcnn.faster_rcnn_r50 import Faster_Rcnn_Resnet50
 from src.config import config

model_zoo/official/cv/googlenet/export.py

@@ -20,8 +20,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import cifar_cfg, imagenet_cfg
 from src.googlenet import GoogleNet

model_zoo/official/cv/inceptionv3/export.py

@@ -19,8 +19,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import config_gpu as cfg
 from src.inception_v3 import InceptionV3

model_zoo/official/cv/lenet/export.py

@@ -20,9 +20,7 @@ import argparse
 import numpy as np
 
 import mindspore
-from mindspore import Tensor
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore import context
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import mnist_cfg as cfg
 from src.lenet import LeNet5

model_zoo/official/cv/lenet_quant/export.py

@@ -20,10 +20,8 @@ import argparse
 import numpy as np
 
 import mindspore
-from mindspore import Tensor
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore import context
 from mindspore.compression.quant import QuantizationAwareTraining
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import mnist_cfg as cfg
 from src.lenet_fusion import LeNet5 as LeNet5Fusion

model_zoo/official/cv/maskrcnn/export.py

@@ -16,8 +16,7 @@
 import argparse
 import numpy as np
 
-from mindspore import Tensor, context
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.maskrcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
 from src.config import config

model_zoo/official/cv/mobilenetv2/export.py

@@ -16,8 +16,7 @@
 mobilenetv2 export mindir.
 """
 import numpy as np
-from mindspore import Tensor
+from mindspore import Tensor, export
-from mindspore.train.serialization import export
 from src.config import set_config
 from src.args import export_parse_args
 from src.models import define_net, load_ckpt

model_zoo/official/cv/mobilenetv2_quant/export.py

@@ -18,9 +18,7 @@ import argparse
 import numpy as np
 
 import mindspore
-from mindspore import Tensor
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore import context
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 from mindspore.compression.quant import QuantizationAwareTraining
 
 from src.mobilenetV2 import mobilenetV2

model_zoo/official/cv/mobilenetv3/export.py

@@ -17,8 +17,7 @@ mobilenetv3 export mindir.
 """
 import argparse
 import numpy as np
-from mindspore import context, Tensor
+from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 from src.config import config_gpu
 from src.mobilenetV3 import mobilenet_v3_large
 

model_zoo/official/cv/nasnet/export.py

@@ -19,8 +19,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import nasnet_a_mobile_config_gpu as cfg
 from src.nasnet_a_mobile import NASNetAMobile

model_zoo/official/cv/psenet/export.py

@@ -19,8 +19,7 @@ import argparse
 import numpy as np
 
 import mindspore as ms
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.config import config
 from src.ETSNET.etsnet import ETSNet

model_zoo/official/cv/resnet/export.py

@@ -19,8 +19,7 @@ python export.py
 import argparse
 import numpy as np
 
-from mindspore import Tensor
+from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='resnet export')

model_zoo/official/cv/resnet_thor/export.py

@@ -16,9 +16,7 @@
 import argparse
 import numpy as np
 
-from mindspore import context
+from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-from mindspore import Tensor
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 from src.resnet_thor import resnet50 as resnet
 from src.config import config
 

model_zoo/official/cv/resnext50/export.py

@@ -17,8 +17,7 @@ resnext export mindir.
 """
 import argparse
 import numpy as np
-from mindspore import context, Tensor
+from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 from src.config import config
 from src.image_classification import get_network
 

model_zoo/official/cv/ssd/export.py

@@ -17,8 +17,7 @@ ssd export mindir.
 """
 import argparse
 import numpy as np
-from mindspore import context, Tensor
+from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 from src.ssd import SSD300, ssd_mobilenet_v2
 from src.config import config
 

model_zoo/official/cv/unet/export.py

@@ -16,8 +16,7 @@
 import argparse
 import numpy as np
 
-from mindspore import Tensor
+from mindspore import Tensor, export, load_checkpoint, load_param_into_net
-from mindspore.train.serialization import export, load_checkpoint, load_param_into_net
 
 from src.unet.unet_model import UNet
 

model_zoo/official/cv/warpctc/export.py

@@ -16,8 +16,7 @@
 import argparse
 import numpy as np
 
-from mindspore import Tensor, context
+from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.warpctc import StackedRNN
 from src.config import config

tests/st/quantization/lenet_quant/test_lenet_quant.py

@@ -24,7 +24,7 @@ from mindspore.common import dtype as mstype
 import mindspore.nn as nn
 from mindspore.nn.metrics import Accuracy
 from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor, TimeMonitor
-from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
+from mindspore import load_checkpoint, load_param_into_net, export
 from mindspore.train import Model
 from mindspore.compression.quant import QuantizationAwareTraining
 from mindspore.compression.quant.quant_utils import load_nonquant_param_into_quant_net