How to implement the triple loss?

[GeorgeCarpenter]

The README.md wrote:

This repo provides a comprehensive face recognition library for face related analytics & applications, including face alignment (detection, landmark localization, affine transformation, etc.), data processing (e.g., augmentation, data balancing, normalization, etc.), various backbones (e.g., ResNet, IR, IR-SE, ResNeXt, SE-ResNeXt, DenseNet, LightCNN, MobileNet, ShuffleNet, DPN, etc.), various losses (e.g., Softmax, Focal, Center, SphereFace, CosFace, AmSoftmax, ArcFace, Triplet, etc.)

However, we found no triple loss in the repo. Could you tell us how to implement the triple loss?

Thanks.

[harshraj22]

Same issue @ZhaoJ9014 Any comments ?