Fix sphinx warning

python/tvm/tir/schedule/schedule.py

@@ -541,7 +541,6 @@ def rfactor(self, loop: LoopRV, factor_axis: int) -> LoopRV:
         - The intermediate buffer, or "rf-buffer" is a buffer of rank `ndim(B) + 1` and
         size `size(B) * n`, whose shape expands from `shape(B)` by adding an axis of `n`
         at the position specified by `factor_axis`. For example,
-
             * shape(B) = [1, 2, 3], factor_axis = 0  => shape(B_rf) = [n, 1, 2, 3]
             * shape(B) = [1, 2, 3], factor_axis = 1  => shape(B_rf) = [1, n, 2, 3]
             * shape(B) = [1, 2, 3], factor_axis = 2  => shape(B_rf) = [1, 2, n, 3]
@@ -550,7 +549,6 @@ def rfactor(self, loop: LoopRV, factor_axis: int) -> LoopRV:
         - The rfactor block, or "rf-block", is a block that writes to the `rf-buffer` without
         accumulating over the loop `k`, i.e. the loop `k` is converted from a reduction loop
         to a data parallel loop. In our example, the rf-block is:
-
         .. code-block:: python
 
             B_rf = np.zeros((128, 128))     # the rf-buffer
@@ -562,7 +560,6 @@ def rfactor(self, loop: LoopRV, factor_axis: int) -> LoopRV:
         - The write-back block, or `wb-block`, is a block that accumulates the rf-buffer into
         the result buffer. All the reduction loops are removed except the loop `k` for accumulation.
         In our example, the wb-block is:
-
         .. code-block:: python
 
             for i in range(128):            # loop i is a data parallel loop (unchanged)