def METHOD_NAME(self, H, W, C, num_rois, pooled_size, gc, dc):
    """
    Test that results match with RoIAlign when angle=0.
    """
    X = np.random.randn(1, C, H, W).astype(np.float32)
    R = np.zeros((num_rois, 6)).astype(np.float32)
    angle = 0.0
    for i in range(num_rois):
        x = np.random.uniform(1, W - 1)
        y = np.random.uniform(1, H - 1)
        w = np.random.uniform(1, min(x, W - x))
        h = np.random.uniform(1, min(y, H - y))
        R[i] = [0, x, y, w, h, angle]
    op = core.CreateOperator(
        "RoIAlignRotated",
        ["X", "R"],
        ["Y"],
        pooled_h=pooled_size,
        pooled_w=pooled_size,
        sampling_ratio=0,
    )
    def roialign_ref(X, R):
        # Remove angle and convert from [center_x center_y w h]
        # to [x1 y1 x2 y2] format.
        R_ref = copy.deepcopy(R[:, 0:5])
        R_ref[:, 1:5] = self.bbox_xywh_to_xyxy(R_ref[:, 1:5])
        ref_op = core.CreateOperator(
            "RoIAlign",
            ["X_ref", "R_ref"],
            ["Y_ref"],
            pooled_h=pooled_size,
            pooled_w=pooled_size,
            sampling_ratio=0,
        )
        workspace.FeedBlob("X_ref", X)
        workspace.FeedBlob("R_ref", R_ref)
        workspace.RunOperatorOnce(ref_op)
        return [workspace.FetchBlob("Y_ref")]
    self.assertReferenceChecks(
        device_option=gc, op=op, inputs=[X, R], reference=roialign_ref
    )
    if core.IsGPUDeviceType(gc.device_type):
        self.assertGradientChecks(gc, op, [X, R], 0, [0])