def METHOD_NAME(self):
    batch_size = 2
    num_features = 13
    num_classes = 40
    input_length = 2
    model = Wav2Letter(num_classes=num_classes, input_type="mfcc", num_features=num_features)
    x = torch.rand(batch_size, num_features, input_length)
    out = model(x)
    assert out.size() == (batch_size, num_classes, 2)