code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast(
      placeholder_62: T.handle,
      placeholder_63: T.handle,
      placeholder_64: T.handle,
      T_cast_20: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast",
              "T.noalias": True,
          }
      )
      placeholder_65 = T.match_buffer(
          placeholder_62,
          [150528],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_66 = T.match_buffer(
          placeholder_63,
          [9408],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_67 = T.match_buffer(
          placeholder_64,
          [64],
          dtype="int32",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      T_cast_21 = T.match_buffer(
          T_cast_20,
          [289],
          dtype="uint8",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      # body
      PaddedInput_7 = T.decl_buffer([157323], "int16")
      for i0_i1_fused_7 in T.serial(0, 229):
          for i2_7, i3_7 in T.grid(229, 3):
              PaddedInput_7[
                  (((i0_i1_fused_7 * 687) + (i2_7 * 3)) + i3_7)
              ] = T.if_then_else(
                  (
                      (
                          (
                              (2 <= i0_i1_fused_7)
                              and (i0_i1_fused_7 < 226)
                          )
                          and (2 <= i2_7)
                      )
                      and (i2_7 < 226)
                  ),
                  placeholder_65[
                      (
                          (((i0_i1_fused_7 * 672) + (i2_7 * 3)) + i3_7)
                          - 1350
                      )
                  ],
                  T.int16(0),
                  dtype="int16",
              )
      for ax0_ax1_fused_ax2_fused_7 in T.serial(0, 12544):
          Conv2dOutput_7 = T.decl_buffer([64], "int32")
          for ff_3 in T.serial(0, 64):
              Conv2dOutput_7[ff_3] = 0
              for ry_2, rx_2, rc_7 in T.grid(7, 7, 3):
                  Conv2dOutput_7[ff_3] = Conv2dOutput_7[ff_3] + (
                      T.cast(
                          PaddedInput_7[
                              (
                                  (
                                      (
                                          (
                                              (
                                                  T.floordiv(
                                                      ax0_ax1_fused_ax2_fused_7,
                                                      112,
                                                  )
                                                  * 1374
                                              )
                                              + (ry_2 * 687)
                                          )
                                          + (
                                              T.floormod(
                                                  ax0_ax1_fused_ax2_fused_7,
                                                  112,
                                              )
                                              * 6
                                          )
                                      )
                                      + (rx_2 * 3)
                                  )
                                  + rc_7
                              )
                          ],
                          "int32",
                      )
                      * T.cast(
                          placeholder_66[
                              (
                                  (
                                      ((ry_2 * 1344) + (rx_2 * 192))
                                      + (rc_7 * 64)
                                  )
                                  + ff_3
                              )
                          ],
                          "int32",
                      )
                  )
          for ax3_inner_7 in T.serial(0, 64):
              T_cast_21[
                  ((ax0_ax1_fused_ax2_fused_7 * 64) + ax3_inner_7)
              ] = T.cast(
                  T.max(
                      T.min(
                          T.q_multiply_shift(
                              (
                                  Conv2dOutput_7[ax3_inner_7]
                                  + placeholder_67[ax3_inner_7]
                              ),
                              1939887962,
                              31,
                              -9,
                              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 14 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(placeholder_62, placeholder_63, placeholder_64, T_cast_20) without return types