error in training

[louielu1027]

Epoch: [0][999/1000] Time 0.223 Loss 0.164
Epoch: [0][1000/1000] Time 0.226 Loss 0.185
Runnning forward pass on LFW images
Traceback (most recent call last):
File "facenet_train.py", line 298, in
main(parse_arguments(sys.argv[1:]))
File "facenet_train.py", line 134, in main
actual_issame, args.seed, 60, images_placeholder, phase_train_placeholder, embeddings, nrof_folds=args.lfw_nrof_folds)
File "/home/dl1/LXX/facenet-master_new/src/lfw.py", line 33, in validate
np.asarray(actual_issame), seed, nrof_folds=nrof_folds)
File "/home/dl1/LXX/facenet-master_new/src/facenet.py", line 428, in calculate_roc
folds = KFold(n=nrof_pairs, n_folds=nrof_folds, shuffle=True, random_state=seed)
File "/home/dl1/anaconda/envs/tensorflow/lib/python2.7/site-packages/sklearn/cross_validation.py", line 326, in init
super(KFold, self).init(n, n_folds, shuffle, random_state)
File "/home/dl1/anaconda/envs/tensorflow/lib/python2.7/site-packages/sklearn/cross_validation.py", line 257, in init
" than the number of samples: {1}.").format(n_folds, n))
ValueError: Cannot have number of folds n_folds=10 greater than the number of samples: 0.
(tensorflow)dl1@dl1-B85M-DS3H:~/LXX/facenet-master_new/src$

[louielu1027]

solved

[tphyhFighting]

Hi ,how to solve this problem?