def METHOD_NAME():
    m = te.size_var("m")
    l = te.size_var("l")
    A = te.placeholder((m, l), name="A")
    A1 = te.compute((m, l), lambda i, j: A[i, j], name="A1")
    A2 = te.compute((m, l), lambda i, j: A1[i, j] + 3, name="A2")
    s = te.create_schedule(A2.op)
    xo, xi = s[A2].split(A2.op.axis[0], 8)
    s[A1].compute_at(s[A2], xo)
    Ab = tvm.tir.decl_buffer(A.shape, A.dtype, name="A")
    A2b = tvm.tir.decl_buffer(A2.shape, A2.dtype, name="A2")
    mod = schedule_to_module(s, [Ab, A2b], binds={A: Ab, A2: A2b})
    mod = tvm.tir.transform.StorageFlatten(64)(mod)