def noop_models():
    return [
        with_padded(noop()),
        with_array(noop()),
        with_array2d(noop()),
        with_list(noop()),
        with_ragged(noop())
    ]
Example #2
0
def test_validation():
    model = chain(Relu(10), Relu(10), with_ragged(reduce_max()), Softmax())
    with pytest.raises(DataValidationError):
        model.initialize(X=model.ops.alloc2f(1, 10), Y=model.ops.alloc2f(1, 10))
    with pytest.raises(DataValidationError):
        model.initialize(X=model.ops.alloc3f(1, 10, 1), Y=model.ops.alloc2f(1, 10))
    with pytest.raises(DataValidationError):
        model.initialize(X=[model.ops.alloc2f(1, 10)], Y=model.ops.alloc2f(1, 10))
def get_ragged_model():
    def _trim_ragged_forward(model, Xr, is_train):
        def backprop(dYr):
            dY = dYr.data
            dX = model.ops.alloc2f(dY.shape[0], dY.shape[1] + 1)
            return Ragged(dX, dYr.lengths)

        return Ragged(Xr.data[:, :-1], Xr.lengths), backprop

    return with_ragged(Model("trimragged", _trim_ragged_forward))