94dbc3042f5a85b399f5ce2859d4e8fbafd235b9,tests/keras/backend/backend_test.py,,check_single_tensor_operation,#Any#Any#Any#,22

Before Change

def check_single_tensor_operation(function_name, input_shape, backend_list, **kwargs):
    val = np.random.random(input_shape) - 0.5
    x_list = [k.variable(val) for k in backend_list]

    z_list = []
    for x, k in zip(x_list, backend_list):
        z_list.append(k.eval(getattr(k, function_name)(x, **kwargs)))

After Change

    z_list = []
    for k in backend_list:
        if k == KCSD:
            z = cntk_func_single_tensor(function_name, input_shape,
                                        **kwargs)([val])[0]
        else:
            z = k.eval(getattr(k, function_name)(k.variable(val), **kwargs))
        if hasattr(z, "_keras_shape"):
            assert z._keras_shape == z.shape
        z_list += [z]

    for (z1, z2) in zip(z_list[1:], z_list[:-1]):
        assert z1.shape == z2.shape
        assert_allclose(z1, z2, atol=1e-05)


def check_two_tensor_operation(function_name, x_input_shape,
                               y_input_shape, backend_list, **kwargs):
    xval = np.random.random(x_input_shape) - 0.5
    yval = np.random.random(y_input_shape) - 0.5

Instances