3d0c71243d9a1d2b3cd342ab21b5bbd98d48354e,pyannote/audio/embedding/approaches/triplet_loss.py,TripletLoss,batch_hard,#TripletLoss#Any#Any#,168

Before Change

        anchors, positives, negatives = [], [], []

        if distances.is_cuda:
            distances = squareform(distances.data.cpu().numpy())
        else:
            distances = squareform(distances.data.numpy())
        y = np.array(y)

        for anchor, y_anchor in enumerate(y):

After Change

        anchors, positives, negatives = [], [], []

        distances = squareform(self.to_numpy(distances))
        y = np.array(y)

        for anchor, y_anchor in enumerate(y):

Instances