Function cycle_index

code/utils.py:390–393

(num, shift)

#         loss = self.criterion(sim_matrix, correct_labels)
#         return loss
def cycle_index(num, shift):
    arr = torch.arange(num) + shift
    arr[-shift:] = torch.arange(shift)
    return arr

# def sample_negative_class_indices(num_classes, num_negatives, labels, device ):
#     negative_indices = []