def train_resnet contextset_contextmode=contextGRAPH_MODE device_target=CPU train_dataset_generator = TrainDatasetGeneratorDpythonproject2digital_mindsporedataset ds_train = dsGeneratorDatase

是的，加载ckpt可以使运行变快，因为ckpt可以保存网络的参数和优化器状态，这样在下次运行时可以直接加载ckpt，避免了重新训练网络的时间和资源消耗。

以下是加载ckpt的代码示例：

from mindspore.train.serialization import load_checkpoint, load_param_into_net

...

network = ResNet(ResidualBlock,[2,2,2,2])
param_dict = load_checkpoint('D:/pythonproject2/ckpt/checkpoint_resnet-10_1562.ckpt')
load_param_into_net(network, param_dict)
...