code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast_2(
      placeholder_44: T.handle,
      placeholder_45: T.handle,
      placeholder_46: T.handle,
      T_cast_14: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast_2",
              "tir.noalias": True,
          }
      )
      placeholder_47 = T.match_buffer(
          placeholder_44,
          [150528],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_48 = T.match_buffer(
          placeholder_45,
          [3072],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      placeholder_49 = T.match_buffer(
          placeholder_46,
          [16],
          dtype="int32",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      T_cast_15 = T.match_buffer(
          T_cast_14,
          [73],
          dtype="int16",
          elem_offset=0,
          align=64,
          offset_factor=1,
      )
      # body
      PaddedInput_4 = T.decl_buffer([150528], "int16")
      for i0_i1_fused_4 in T.serial(0, 28):
          for i2_4, i3_4 in T.grid(28, 192):
              PaddedInput_4[
                  (((i0_i1_fused_4 * 5376) + (i2_4 * 192)) + i3_4)
              ] = placeholder_47[
                  (((i0_i1_fused_4 * 5376) + (i2_4 * 192)) + i3_4)
              ]
      for ax0_ax1_fused_ax2_fused_4 in T.serial(0, 784):
          Conv2dOutput_4 = T.decl_buffer([1], "int32")
          for ax3_6 in T.serial(0, 16):
              Conv2dOutput_4[0] = 0
              for rc_4 in T.serial(0, 192):
                  Conv2dOutput_4[0] = Conv2dOutput_4[0] + (
                      T.cast(
                          PaddedInput_4[
                              ((ax0_ax1_fused_ax2_fused_4 * 192) + rc_4)
                          ],
                          "int32",
                      )
                      * T.cast(
                          placeholder_48[((rc_4 * 16) + ax3_6)], "int32"
                      )
                  )
              T_cast_15[
                  ((ax0_ax1_fused_ax2_fused_4 * 16) + ax3_6)
              ] = T.cast(
                  T.cast(
                      T.max(
                          T.min(
                              T.q_multiply_shift(
                                  (
                                      Conv2dOutput_4[0]
                                      + placeholder_49[ax3_6]
                                  ),
                                  1764006585,
                                  31,
                                  -7,
                                  dtype="int32",
                              ),
                              255,
                          ),
                          0,
                      ),
                      "uint8",
                  ),
                  "int16",
              )
  
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 11 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_2(placeholder_44, placeholder_45, placeholder_46, T_cast_14) without return types