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Before this PR, we had to compute triplets on the fly to obtain a training sample, slowing down training and making the GPU wait for data.
This PR makes an improvement to
TripletDatasetby pre-computing triplets before training the model and giving up to 6 times faster training speed. This way, obtaining a training sample to create batches is almost instant. However, with this improvement, each anchor has only one corresponding positive and negative example in every epoch.