报错内容如下,mindspore 1.7.0,python 3.7.2
C:\Users\xxxx\AppData\Local\Programs\Python\Python37\python.exe "D:/xxxx/models-master/official/cv/ResNet/train.py" --net_name=resnet50 --dataset=imagenet2012 --data_path=../../../dataset/flower_photos/ --class_num=5 --config_path=./config/resnet50_imagenet2012_config.yaml --epoch_size=1 --device_target=CPU
{'enable_modelarts': 'Whether training on modelarts, default: False', 'data_url': 'Dataset url for obs', 'checkpoint_url': 'The location of checkpoint for obs', 'data_path': 'Dataset path for local', 'output_path': 'Training output path for local', 'load_path': 'The location of checkpoint for obs', 'device_target': 'Target device type, available: [Ascend, GPU, CPU]', 'enable_profiling': 'Whether enable profiling while training, default: False', 'num_classes': 'Class for dataset', 'batch_size': 'Batch size for training and evaluation', 'epoch_size': 'Total training epochs.', 'checkpoint_path': 'The location of the checkpoint file.', 'checkpoint_file_path': 'The location of the checkpoint file.', 'save_graphs': 'Whether save graphs during training, default: False.', 'save_graphs_path': 'Path to save graphs.', 'img_path': 'image file path.'}
Please check the above information for the configurations
Traceback (most recent call last):
File "D:/xxxx/models-master/official/cv/ResNet/train.py", line 31, in <module>
from src.metric import DistAccuracy, ClassifyCorrectCell
File "D:\xxxx\models-master\official\cv\ResNet\src\metric.py", line 65, in <module>
class DistAccuracy(train.Metric):
AttributeError: module 'mindspore.train' has no attribute 'Metric'
进程已结束,退出代码1
报错内容如下,mindspore 1.7.0,python 3.7.2
C:\Users\xxxx\AppData\Local\Programs\Python\Python37\python.exe "D:/xxxx/models-master/official/cv/ResNet/train.py" --net_name=resnet50 --dataset=imagenet2012 --data_path=../../../dataset/flower_photos/ --class_num=5 --config_path=./config/resnet50_imagenet2012_config.yaml --epoch_size=1 --device_target=CPU
{'enable_modelarts': 'Whether training on modelarts, default: False', 'data_url': 'Dataset url for obs', 'checkpoint_url': 'The location of checkpoint for obs', 'data_path': 'Dataset path for local', 'output_path': 'Training output path for local', 'load_path': 'The location of checkpoint for obs', 'device_target': 'Target device type, available: [Ascend, GPU, CPU]', 'enable_profiling': 'Whether enable profiling while training, default: False', 'num_classes': 'Class for dataset', 'batch_size': 'Batch size for training and evaluation', 'epoch_size': 'Total training epochs.', 'checkpoint_path': 'The location of the checkpoint file.', 'checkpoint_file_path': 'The location of the checkpoint file.', 'save_graphs': 'Whether save graphs during training, default: False.', 'save_graphs_path': 'Path to save graphs.', 'img_path': 'image file path.'}
Please check the above information for the configurations
Traceback (most recent call last):
File "D:/xxxx/models-master/official/cv/ResNet/train.py", line 31, in <module>
from src.metric import DistAccuracy, ClassifyCorrectCell
File "D:\xxxx\models-master\official\cv\ResNet\src\metric.py", line 65, in <module>
class DistAccuracy(train.Metric):
AttributeError: module 'mindspore.train' has no attribute 'Metric'
进程已结束,退出代码1