Question about training and testing using the same dataset.

[LiXirong]

In miniImagenet_train_few_shot.py and miniImagenet_test_few_shot.py line 15:
import task_generator_test as tg

in task_generator_test.py line 28 and 29:
train_folder = '../datas/miniImagenet/train'
test_folder = '../datas/miniImagenet/test'

it seems that you training and testing on the same dataset, without using the 'val' dataset.

Is this right to train and test in this way???

If I train with train_set and val_set, can I get the same accuracy score in test_set?

[Errorfinder]

Hi, i think there is a misread about the code:
in task_generator using
train_folder = '../datas/miniImagenet/train' test_folder = '../datas/miniImagenet/val'
and in task_generator_test using
train_folder = '../datas/miniImagenet/train' test_folder = '../datas/miniImagenet/test'
where in second part the training data is redundant, anyway it is not used.

[chocoford]

same question.
It only imports task_generator_test both in miniimagenet_test_few_shot.py and miniimagenet_train_few_shot.py.