0a8e27413d721bf8d753e5e6061cc24f5bf6474f,tests/test_model.py,,test_local_conditioning_upsample_correctness,#,181

Before Change

    assert model.local_conditioning_enabled()
    assert not model.has_speaker_embedding()

    x = Variable(torch.from_numpy(x).contiguous())
    x = x.cuda() if use_cuda else x

    c = Variable(torch.from_numpy(c).contiguous())
    c = c.cuda() if use_cuda else c
    print(x.size(), c.size())

After Change

    assert model.local_conditioning_enabled()
    assert not model.has_speaker_embedding()

    x = torch.from_numpy(x).contiguous().to(device)

    c = torch.from_numpy(c).contiguous().to(device)
    print(x.size(), c.size())

Instances