code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_add_clip_cast_cast_subtract_fixed_point_4200876283395191415_(
      placeholder_22: T.handle,
      placeholder_23: T.handle,
      placeholder_24: T.handle,
      placeholder_25: T.handle,
      T_cast_6: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_add_clip_cast_cast_subtract_fixed_point_4200876283395191415_",
              "tir.noalias": True,
          }
      )
      placeholder_29 = T.match_buffer(
          placeholder_22, [360000], dtype="int16"
      )
      placeholder_27 = T.match_buffer(
          placeholder_23, [16384], dtype="int16"
      )
      placeholder_26 = T.match_buffer(
          placeholder_24, [256], dtype="int32"
      )
      placeholder_28 = T.match_buffer(
          placeholder_25, [1440000], dtype="int32"
      )
      T_cast_7 = T.match_buffer(T_cast_6, [1440000], dtype="uint8")
      # body
      PaddedInput_3 = T.decl_buffer([360000], "int16")
      for i0_i1_fused_3, i2_3, i3_3 in T.grid(75, 75, 64):
          PaddedInput_3[
              i0_i1_fused_3 * 4800 + i2_3 * 64 + i3_3
          ] = placeholder_29[i0_i1_fused_3 * 4800 + i2_3 * 64 + i3_3]
      for ax0_ax1_fused_ax2_fused_3 in T.serial(0, 5625):
          Conv2dOutput_3 = T.decl_buffer([64], "int32")
          for ax3_outer_2 in T.serial(0, 4):
              for ff_3 in T.serial(0, 64):
                  Conv2dOutput_3[ff_3] = 0
                  for rc_3 in T.serial(0, 64):
                      Conv2dOutput_3[ff_3] = Conv2dOutput_3[
                          ff_3
                      ] + T.cast(
                          PaddedInput_3[
                              ax0_ax1_fused_ax2_fused_3 * 64 + rc_3
                          ],
                          "int32",
                      ) * T.cast(
                          placeholder_27[
                              rc_3 * 256 + ax3_outer_2 * 64 + ff_3
                          ],
                          "int32",
                      )
              for ax3_inner_4 in T.serial(0, 64):
                  T_cast_7[
                      ax0_ax1_fused_ax2_fused_3 * 256
                      + ax3_outer_2 * 64
                      + ax3_inner_4
                  ] = T.cast(
                      T.max(
                          T.min(
                              T.q_multiply_shift(
                                  T.cast(
                                      T.cast(
                                          T.max(
                                              T.min(
                                                  T.q_multiply_shift(
                                                      Conv2dOutput_3[
                                                          ax3_inner_4
                                                      ]
                                                      + placeholder_26[
                                                          ax3_outer_2
                                                          * 64
                                                          + ax3_inner_4
                                                      ],
                                                      1343014664,
                                                      31,
                                                      -8,
                                                      dtype="int32",
                                                  )
                                                  + 136,
                                                  255,
                                              ),
                                              0,
                                          ),
                                          "uint8",
                                      ),
                                      "int32",
                                  )
                                  - 136,
                                  1073903788,
                                  31,
                                  1,
                                  dtype="int32",
                              )
                              + placeholder_28[
                                  ax0_ax1_fused_ax2_fused_3 * 256
                                  + ax3_outer_2 * 64
                                  + ax3_inner_4
                              ],
                              255,
                          ),
                          0,
                      ),
                      "uint8",
                  )
  
imports: import pytest
  import tvm
  from tvm import tir, script
  from tvm.script import tir
  from tvm.tir import stmt_functor
  from tvm.tir.usmp import utils
  from tvm.target import Target
  from tvm import WorkspacePoolInfo, PoolInfoProperties
label_desc: Use image node_id 4 for calling the ResnetStructure obj's underlying member method code with example usage: obj.tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_add_clip_cast_cast_subtract_fixed_point_4200876283395191415_(placeholder_22, placeholder_23, placeholder_24, placeholder_25, T_cast_6) without return types