code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_2(
      placeholder_30: T.handle,
      placeholder_31: T.handle,
      placeholder_32: T.handle,
      T_cast_8: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_2",
              "tir.noalias": True,
          }
      )
      placeholder_33 = T.match_buffer(
          placeholder_30,
          [150528],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_34 = T.match_buffer(
          placeholder_31,
          [12288],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_35 = T.match_buffer(
          placeholder_32,
          [64],
          dtype="int32",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      T_cast_9 = T.match_buffer(
          T_cast_8,
          [121],
          dtype="uint8",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      # body
      PaddedInput_2 = T.decl_buffer([150528], "int16")
      for i0_i1_fused_2 in T.serial(0, 28):
          for i2_2, i3_2 in T.grid(28, 192):
              PaddedInput_2[
                  (((i0_i1_fused_2 * 5376) + (i2_2 * 192)) + i3_2)
              ] = placeholder_33[
                  (((i0_i1_fused_2 * 5376) + (i2_2 * 192)) + i3_2)
              ]
      for ax0_ax1_fused_ax2_fused_2 in T.serial(0, 784):
          Conv2dOutput_2 = T.decl_buffer([64], "int32")
          for ff_1 in T.serial(0, 64):
              Conv2dOutput_2[ff_1] = 0
              for rc_2 in T.serial(0, 192):
                  Conv2dOutput_2[ff_1] = Conv2dOutput_2[ff_1] + (
                      T.cast(
                          PaddedInput_2[
                              ((ax0_ax1_fused_ax2_fused_2 * 192) + rc_2)
                          ],
                          "int32",
                      )
                      * T.cast(
                          placeholder_34[((rc_2 * 64) + ff_1)], "int32"
                      )
                  )
          for ax3_inner_4 in T.serial(0, 64):
              T_cast_9[
                  ((ax0_ax1_fused_ax2_fused_2 * 64) + ax3_inner_4)
              ] = T.cast(
                  T.max(
                      T.min(
                          T.q_multiply_shift(
                              (
                                  Conv2dOutput_2[ax3_inner_4]
                                  + placeholder_35[ax3_inner_4]
                              ),
                              1663316467,
                              31,
                              -7,
                              dtype="int32",
                          ),
                          255,
                      ),
                      0,
                  ),
                  "uint8",
              )
  
imports: import pytest
  import sys
  import tvm
  from tvm import tir, script
  from tvm.ir import Range
  from tvm.script import tir
  from tvm.tir import stmt_functor
  from tvm.tir import PrimFunc
  from tvm.tir.usmp import utils
  from tvm.target import Target
  from tvm import WorkspacePoolInfo, ConstantPoolInfo
label_desc: Use image node_id 8 for calling the InceptionStructure obj's underlying member method code with example usage: obj.tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_2(placeholder_30, placeholder_31, placeholder_32, T_cast_8) without return types