(encoder_output_size, num_spk)
| 7 | @pytest.mark.parametrize("encoder_output_size", [10]) |
| 8 | @pytest.mark.parametrize("num_spk", [2]) |
| 9 | def test_linear_decoder(encoder_output_size, num_spk): |
| 10 | linear_decoder = LinearDecoder( |
| 11 | encoder_output_size=encoder_output_size, num_spk=num_spk |
| 12 | ) |
| 13 | input = torch.rand(5, 100, encoder_output_size) |
| 14 | ilens = torch.tensor([100, 100, 100, 100, 100]) |
| 15 | output = linear_decoder.forward(input=input, ilens=ilens) |
| 16 | assert output.shape == (5, 100, num_spk) |
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