code: def before(
      A: T.Buffer((128, 128), "float32"), B: T.Buffer((128,), "float32")
  ):
      T.func_attr({"target": T.target("cuda", host="llvm")})
      for i in range(128):
          threadIdx_x = T.launch_thread("threadIdx.x", 128)
          cross_thread_B = T.allocate([1], "float32", "local")
          cross_thread_B_1 = T.Buffer(
              (1,), data=cross_thread_B, scope="local"
          )
          with T.attr(
              T.comm_reducer(lambda x0, y0: x0 + y0, [T.float32(0)]),
              "reduce_scope",
              T.reinterpret("handle", T.uint64(0)),
          ):
              A_1 = T.Buffer((16384,), data=A.data)
              T.tvm_thread_allreduce(
                  T.uint32(1),
                  A_1[i * 128 + threadIdx_x],
                  T.bool(True),
                  cross_thread_B_1[0],
                  threadIdx_x,
              )
          if threadIdx_x == 0:
              B_1 = T.Buffer((128,), data=B.data)
              B_1[i] = cross_thread_B_1[0]
  
imports: import tvm
  import tvm.testing
  from tvm.script import tir
label_desc: Use image node_id 1 for calling the TestMultiWarpReduce1 obj's underlying member method code with example usage: obj.before(A, B) without return types