code: def main(
      placeholder: T.Buffer((1, 384), "int64"),
      placeholder_1: T.Buffer((30522, 768), "float32"),
      placeholder_2: T.Buffer((1, 384, 768), "float32"),
      T_add: T.Buffer((1, 384, 768), "float32"),
  ) -> None:
      T.func_attr({"global_symbol": "main", "tir.noalias": True})
      compile_engine_const = T.alloc_buffer([], dtype="int64")
      T_less = T.alloc_buffer([1, 384], dtype="bool")
      compile_engine_const_1 = T.alloc_buffer([], dtype="int64")
      T_add_1 = T.alloc_buffer([1, 384], dtype="int64")
      T_where = T.alloc_buffer([1, 384], dtype="int64")
      T_take = T.alloc_buffer([1, 384, 768], dtype="float32")
      with T.block("compile_engine_const"):
          vi = T.axis.spatial(1, 0)
          T.reads()
          T.writes(compile_engine_const[()])
          compile_engine_const[()] = T.int64(0)
      for i0, i1 in T.grid(1, 384):
          with T.block("T_less"):
              ax0, ax1 = T.axis.remap("SS", [i0, i1])
              T.reads(placeholder[ax0, ax1], compile_engine_const[()])
              T.writes(T_less[ax0, ax1])
              T_less[ax0, ax1] = (
                  placeholder[ax0, ax1] < compile_engine_const[()]
              )
      with T.block("compile_engine_const_1"):
          vi = T.axis.spatial(1, 0)
          T.reads()
          T.writes(compile_engine_const_1[()])
          compile_engine_const_1[()] = T.int64(30522)
      for i0, i1 in T.grid(1, 384):
          with T.block("T_add"):
              ax0, ax1 = T.axis.remap("SS", [i0, i1])
              T.reads(placeholder[ax0, ax1], compile_engine_const_1[()])
              T.writes(T_add_1[ax0, ax1])
              T_add_1[ax0, ax1] = (
                  placeholder[ax0, ax1] + compile_engine_const_1[()]
              )
      for i0, i1 in T.grid(1, 384):
          with T.block("T_where"):
              ax0, ax1 = T.axis.remap("SS", [i0, i1])
              T.reads(
                  T_less[ax0, ax1],
                  T_add_1[ax0, ax1],
                  placeholder[ax0, ax1],
              )
              T.writes(T_where[ax0, ax1])
              T_where[ax0, ax1] = T.Select(
                  T.cast(T_less[ax0, ax1], "int32") != 0,
                  T_add_1[ax0, ax1],
                  placeholder[ax0, ax1],
              )
      for i0, i1, i2 in T.grid(1, 384, 768):
          with T.block("T_take"):
              ax0, ax1, ax2 = T.axis.remap("SSS", [i0, i1, i2])
              T.reads(
                  placeholder_1[
                      T.min(
                          T.max(T.int64(0), T_where[ax0, ax1]),
                          T.int64(30521),
                      ),
                      ax2,
                  ],
                  T_where[ax0, ax1],
              )
              T.writes(T_take[ax0, ax1, ax2])
              T_take[ax0, ax1, ax2] = placeholder_1[
                  T.min(
                      T.max(T.int64(0), T_where[ax0, ax1]),
                      T.int64(30521),
                  ),
                  ax2,
              ]
      for i0, i1, i2 in T.grid(1, 384, 768):
          with T.block("T_add_1"):
              ax0, ax1, ax2 = T.axis.remap("SSS", [i0, i1, i2])
              T.reads(
                  T_take[ax0, ax1, ax2], placeholder_2[ax0, ax1, ax2]
              )
              T.writes(T_add[ax0, ax1, ax2])
              T_add[ax0, ax1, ax2] = (
                  T_take[ax0, ax1, ax2] + placeholder_2[ax0, ax1, ax2]
              )
  
imports: import pytest
  import tvm
  import tvm.testing
  from tvm import meta_schedule
  from tvm.ir.base import assert_structural_equal
  from tvm.meta_schedule.testing.space_generation import generate_design_space
  from tvm.script import tir
  from tvm.target import Target
  from tvm.tir import Schedule
label_desc: Use image node_id 1 for calling the BeforePureSpatial obj's underlying member method code with example usage: obj.main(placeholder, placeholder_1, placeholder_2, T_add) without return types