解决utils引用冲突

main.py

-import os
-import mindspore
 from mindspore import context
-from mindspore.context import ParallelMode
 import mindspore.nn as nn
 import mindspore.dataset as ds
-from PIL import Image
 from mindspore.train.callback import ModelCheckpoint, CheckpointConfig
 from mindspore.nn import Accuracy
 from mindspore.train.callback import TimeMonitor, LossMonitor
 from mindspore import Model
 
-from unet_medical.unet_model import UNetMedical
 from nets.deeplab_v3 import deeplab_v3
 from dataset import GetDatasetGenerator
 from loss import SoftmaxCrossEntropyLoss
-import utils
+from learning_rates import exponential_lr
 
 context.set_context(mode=context.PYNATIVE_MODE, save_graphs=False,
                     device_target='Ascend', device_id=7)
@@ -25,7 +20,7 @@ train_dataset_generator = GetDatasetGenerator('./datasets', 'train')
 train_dataset = ds.GeneratorDataset(train_dataset_generator, ["data", "label"], shuffle=True)
 train_dataset = train_dataset.batch(4, drop_remainder=True)
 
-lr_iter = utils.learning_rates.exponential_lr(3e-5, 20, 0.98, 500, staircase=True)
+lr_iter = exponential_lr(3e-5, 20, 0.98, 500, staircase=True)
 
 net_loss = SoftmaxCrossEntropyLoss(6, 255)
 net_opt = nn.Adam(net.trainable_params(), learning_rate=lr_iter)

utils/__init__.py

-from learning_rates import cosine_lr, poly_lr, exponential_lr