code: def main(
      placeholder: T.Buffer((12, 64, 64), "float32"),
      T_reshape: T.Buffer((64, 768), "float32"),
  ) -> None:
      for i0_i1_fused_0_i0_i1_fused_1_fused_0 in T.thread_binding(
          48, thread="blockIdx.x"
      ):
          for i0_i1_fused_0_i0_i1_fused_1_fused_1 in T.thread_binding(
              1024, thread="threadIdx.x"
          ):
              with T.block("T_reshape_1"):
                  ax0 = T.axis.spatial(
                      64,
                      (
                          i0_i1_fused_0_i0_i1_fused_1_fused_0 * 1024
                          + i0_i1_fused_0_i0_i1_fused_1_fused_1
                      )
                      // 768,
                  )
                  ax1 = T.axis.spatial(
                      768,
                      (
                          i0_i1_fused_0_i0_i1_fused_1_fused_0 * 1024
                          + i0_i1_fused_0_i0_i1_fused_1_fused_1
                      )
                      % 768,
                  )
                  T.reads(
                      placeholder[
                          ax1 % 768 // 64,
                          (ax1 // 768 + ax0) % 64,
                          ax1 % 64,
                      ]
                  )
                  T.writes(T_reshape[ax0, ax1])
                  T_reshape[ax0, ax1] = placeholder[
                      (
                          (ax1 % 64 // 64 + (ax1 // 768 + ax0) % 64)
                          // 64
                          + ax1 % 768 // 64
                      )
                      % 12,
                      (ax1 % 64 // 64 + (ax1 // 768 + ax0) % 64) % 64,
                      ax1 % 64 % 64,
                  ]
  
imports: import tvm
  from tvm import meta_schedule
  from tvm import tir
  from tvm.script import tir
  from tvm.target import Target
label_desc: Use image node_id 1 for calling the Bert_fused_reshape_transpose_reshape_after_rub obj's underlying member method code with example usage: obj.main(placeholder, T_reshape) without return types