| import pytest | |
| import torch | |
| from s3prl.nn import BeamDecoder | |
| def test_beam_decoder(): | |
| decoder = BeamDecoder() | |
| emissions = torch.randn((4, 100, 31)) | |
| emissions = torch.log_softmax(emissions, dim=2) | |
| hyps = decoder.decode(emissions) | |
| import pytest | |
| import torch | |
| from s3prl.nn import BeamDecoder | |
| def test_beam_decoder(): | |
| decoder = BeamDecoder() | |
| emissions = torch.randn((4, 100, 31)) | |
| emissions = torch.log_softmax(emissions, dim=2) | |
| hyps = decoder.decode(emissions) | |