lawlict/eend_loss

End-to-end diarization loss

eend_loss's Issues

Is OPTM really faster?

Thanks a lot for the implementation, it's great to have to have all three possibilities in the same code-base to be able to benchmark those.

We have something similar in Asteroid, (PITLossWrapper)[https://github.com/mpariente/asteroid/blob/master/asteroid/losses/pit_wrapper.py#L8], which can convert any loss function into a PIT loss function.
I've had a look at the Hungarian algorithm in the past and thought about integrating it but I thought the time spent on CPU-GPU transfers would outweigh the gain of the Hungarian algorithm.

I cannot access your paper so I don't see if you made the experiments, but I guess yes. Did you actually gain some time or lose some time when using OPTMLoss against FastPITLoss?

Thanks,
Manu

raise HungarianError("Unable to find results. Algorithm has failed.")

Traceback (most recent call last):
hungarian.py line 141, in calculate raise HungarianError("Unable to find results. Algorithm has failed.")
Will finalize trainer extensions and updater before reraising the exception.
eend.chainer_backend.hungarian.HungarianError: Unable to find results. Algorithm has failed.

I use OPTM loss in EEND_EDA, and this question comes up. It is strange that the program runs for some time and then terminates. How can I solve the error?

[J total [..................................................] 0.09%
this epoch [#.................................................] 2.21%
100 iter, 0 epoch / 25 epochs
inf iters/sec. Estimated time to finish: 0:00:00.
�[4A�[J total [..................................................] 0.18%
this epoch [##................................................] 4.42%
200 iter, 0 epoch / 25 epochs
0.39093 iters/sec. Estimated time to finish: 3 days, 8:12:04.111484.
�[4A�[J total [..................................................] 0.27%
this epoch [###...............................................] 6.63%
300 iter, 0 epoch / 25 epochs
0.3951 iters/sec. Estimated time to finish: 3 days, 7:17:04.064572.
�[4A�[J total [..................................................] 0.35%
this epoch [####..............................................] 8.84%
400 iter, 0 epoch / 25 epochs
0.39668 iters/sec. Estimated time to finish: 3 days, 6:53:54.777250.
�[4A�[J total [..................................................] 0.44%
this epoch [#####.............................................] 11.06%
500 iter, 0 epoch / 25 epochs
0.39872 iters/sec. Estimated time to finish: 3 days, 6:25:33.341658.
�[4A�[J total [..................................................] 0.53%
this epoch [######............................................] 13.27%
600 iter, 0 epoch / 25 epochs
0.39889 iters/sec. Estimated time to finish: 3 days, 6:19:22.559402.
�[4A�[J total [..................................................] 0.62%
this epoch [#######...........................................] 15.48%
700 iter, 0 epoch / 25 epochs
0.39926 iters/sec. Estimated time to finish: 3 days, 6:10:47.791780.
�[4A�[JException in main training loop: Unable to find results. Algorithm has failed.
Traceback (most recent call last):
hungarian.py line 141, in calculate raise HungarianError("Unable to find results. Algorithm has failed.")
Will finalize trainer extensions and updater before reraising the exception.
eend.chainer_backend.hungarian.HungarianError: Unable to find results. Algorithm has failed.

raise HungarianError("Unable to find results. Algorithm has failed.")

When I input :profit_matrix = np.array([[0.47341415,0.50526756,0.5631776 ,0.55596864,0.5414672,0.5414672],
[0.6781792,0.23801588,0.20288624,0.55276686,0.109804,0.109804],
[0.42393875,0.370307,0.37129858,0.5507781,0.2596858,0.2596858],
[0.52666223,0.57174313,0.5873437,0.6438369,0.5166061,0.5166061],
[0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475],
[0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475]])
a error will appear as follows.
File "models.py", line 41, in minimize_loss
H.calculate(np_loss_mat)
File "hungarian.py", line 151, in calculate
raise HungarianError("Unable to find results. Algorithm has failed.")
I do not know the reasons. Look forward to your reply.