def METHOD_NAME(self, target):
    x = paddle.to_tensor(self.x_np, stop_gradient=False)
    weight = paddle.to_tensor(self.w_np, stop_gradient=False)
    y = paddle.nn.functional.conv2d(
        x,
        weight,
        stride=self.case["stride"],
        padding=self.case["padding"],
        dilation=self.case["dilation"],
        groups=self.case["groups"],
        data_format=self.case["data_format"])
    self.paddle_outputs = [y]
    self.paddle_grads = self.get_paddle_grads([y], [x, weight],
                                              [self.dy_np])