Exemplo n.º 1
0
def test_general():
    for condition_custom in [
        {},
        {"x_order": OrderNCHW}
    ]:
        condition = dict(condition_default)
        condition.update(condition_custom)

        vx = np.random.rand(2, 3, 4, 5) - 0.5
        vy = vx.copy()
        vy[vx < 0] = np.exp(vy[vx < 0]) - 1

        x = Variable(vx.shape, order=OrderNHWC)
        y, = Elu(None)(x)

        x.change_order(condition["x_order"])
        y.change_order(condition["y_order"])

        generate_kernel_test_case(
            description=f"Elu: " + (", ".join([f"{k}={v}" for k, v in condition_custom.items()])),
            backend=condition["backend"],
            graph=Graph([x], [y]),
            inputs={x: ConstantVariable(vx, OrderNHWC).change_order(x.order).data},
            expected={y: ConstantVariable(vy, OrderNHWC).change_order(y.order).data},
            raise_skip=False
        )

    raise SkipTest
Exemplo n.º 2
0
def template(x_order=OrderNHWC, y_order=OrderNHWC, description: str = ""):
    vx = np.random.rand(2, 3, 4, 5) - 0.5
    vy = vx.copy()
    vy[vx < 0] = np.exp(vy[vx < 0]) - 1

    x = Variable(vx.shape, order=OrderNHWC)
    y, = Elu(None)(x)

    x.change_order(x_order)
    y.change_order(y_order)

    generate_kernel_test_case(
        description=f"Elu {description}",
        graph=Graph([x], [y]),
        inputs={x: np.transpose(vx, [OrderNHWC.axes_dict[a] for a in x.order.axes])},
        expected={y: np.transpose(vy, [OrderNHWC.axes_dict[a] for a in y.order.axes])},
    )