code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast_fixed_point_multiply_cli_4464294615199028320__2(
      placeholder_38: T.handle,
      placeholder_39: T.handle,
      placeholder_40: T.handle,
      T_cast_12: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast_fixed_point_multiply_cli_4464294615199028320__2",
              "tir.noalias": True,
          }
      )
      placeholder_41 = T.match_buffer(
          placeholder_38,
          [150528],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_42 = T.match_buffer(
          placeholder_39,
          [6144],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_43 = T.match_buffer(
          placeholder_40,
          [32],
          dtype="int32",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      T_cast_13 = T.match_buffer(
          T_cast_12,
          [89],
          dtype="uint8",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      # body
      PaddedInput_3 = T.decl_buffer([150528], "int16")
      for i0_i1_fused_3 in T.serial(0, 28):
          for i2_3, i3_3 in T.grid(28, 192):
              PaddedInput_3[
                  (((i0_i1_fused_3 * 5376) + (i2_3 * 192)) + i3_3)
              ] = placeholder_41[
                  (((i0_i1_fused_3 * 5376) + (i2_3 * 192)) + i3_3)
              ]
      for ax0_ax1_fused_ax2_fused_3 in T.serial(0, 784):
          Conv2dOutput_3 = T.decl_buffer([1], "int32")
          for ax3_5 in T.serial(0, 32):
              Conv2dOutput_3[0] = 0
              for rc_3 in T.serial(0, 192):
                  Conv2dOutput_3[0] = Conv2dOutput_3[0] + (
                      T.cast(
                          PaddedInput_3[
                              ((ax0_ax1_fused_ax2_fused_3 * 192) + rc_3)
                          ],
                          "int32",
                      )
                      * T.cast(
                          placeholder_42[((rc_3 * 32) + ax3_5)], "int32"
                      )
                  )
              T_cast_13[
                  ((ax0_ax1_fused_ax2_fused_3 * 32) + ax3_5)
              ] = T.cast(
                  T.max(
                      T.min(
                          T.q_multiply_shift(
                              T.cast(
                                  T.cast(
                                      T.max(
                                          T.min(
                                              T.q_multiply_shift(
                                                  (
                                                      Conv2dOutput_3[0]
                                                      + placeholder_43[
                                                          ax3_5
                                                      ]
                                                  ),
                                                  1811141736,
                                                  31,
                                                  -6,
                                                  dtype="int32",
                                              ),
                                              255,
                                          ),
                                          0,
                                      ),
                                      "uint8",
                                  ),
                                  "int32",
                              ),
                              1136333842,
                              31,
                              0,
                              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 10 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_cast_fixed_point_multiply_cli_4464294615199028320__2(placeholder_38, placeholder_39, placeholder_40, T_cast_12) without return types