code: def before(
      A: T.Buffer((4, 128), "float32"), B: T.Buffer((4,), "float32")
  ):
      T.func_attr({"target": T.target("cuda", host="llvm")})
      threadIdx_y = T.launch_thread("threadIdx.y", 4)
      cross_thread_B = T.allocate([1], "float32", "local")
      threadIdx_x = T.launch_thread("threadIdx.x", 128)
      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((512,), data=A.data)
          T.tvm_thread_allreduce(
              T.uint32(1),
              A_1[threadIdx_y * 128 + threadIdx_x],
              T.bool(True),
              cross_thread_B_1[0],
              threadIdx_x,
          )
      if threadIdx_x == 0:
          B_1 = T.Buffer((4,), data=B.data)
          B_1[threadIdx_y] = 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 TestMultiGroupMultiWarpReduction obj's underlying member method code with example usage: obj.before(A, B) without return types