code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_add_clip_cast_cast_subtract_fixed_point_15934180698220515269_(
      placeholder_16: T.handle,
      placeholder_17: T.handle,
      placeholder_18: T.handle,
      T_add: T.handle,
      global_workspace_4_var: T.handle("uint8"),
  ) -> None:
      placeholder_19 = T.match_buffer(
          placeholder_16, [360000], dtype="int16"
      )
      placeholder_20 = T.match_buffer(
          placeholder_17, [16384], dtype="int16"
      )
      placeholder_21 = T.match_buffer(
          placeholder_18, [256], dtype="int32"
      )
      T_add_1 = T.match_buffer(T_add, [407], dtype="int32")
      global_workspace_4_buffer_var = T.match_buffer(
          global_workspace_4_var,
          [7920256],
          dtype="uint8",
          strides=[1],
          elem_offset=0,
          align=16,
      )
      # body
      PaddedInput_2_let = T.Buffer([360000], "int16")
      with T.LetStmt(
          T.address_of(
              global_workspace_4_buffer_var[7200000], dtype="handle"
          ),
          var=PaddedInput_2_let.data,
      ):
          for i0_i1_fused_2, i2_2, i3_2 in T.grid(75, 75, 64):
              PaddedInput_2_let[
                  i0_i1_fused_2 * 4800 + i2_2 * 64 + i3_2
              ] = placeholder_19[
                  i0_i1_fused_2 * 4800 + i2_2 * 64 + i3_2
              ]
          for ax0_ax1_fused_ax2_fused_2 in T.serial(0, 5625):
              Conv2dOutput_2_let = T.Buffer([64], "int32")
              with T.LetStmt(
                  T.address_of(
                      global_workspace_4_buffer_var[7920000],
                      dtype="handle",
                  ),
                  var=Conv2dOutput_2_let.data,
              ):
                  for ax3_outer_1 in T.serial(0, 4):
                      for ff_2 in T.serial(0, 64):
                          Conv2dOutput_2_let[ff_2] = 0
                          for rc_2 in T.serial(0, 64):
                              Conv2dOutput_2_let[
                                  ff_2
                              ] = Conv2dOutput_2_let[ff_2] + T.cast(
                                  PaddedInput_2_let[
                                      ax0_ax1_fused_ax2_fused_2 * 64
                                      + rc_2
                                  ],
                                  "int32",
                              ) * T.cast(
                                  placeholder_20[
                                      rc_2 * 256
                                      + ax3_outer_1 * 64
                                      + ff_2
                                  ],
                                  "int32",
                              )
                      for ax3_inner_3 in T.serial(0, 64):
                          T_add_1[
                              ax0_ax1_fused_ax2_fused_2 * 256
                              + ax3_outer_1 * 64
                              + ax3_inner_3
                          ] = (
                              T.q_multiply_shift(
                                  T.cast(
                                      T.cast(
                                          T.max(
                                              T.min(
                                                  T.q_multiply_shift(
                                                      Conv2dOutput_2_let[
                                                          ax3_inner_3
                                                      ]
                                                      + placeholder_21[
                                                          ax3_outer_1
                                                          * 64
                                                          + ax3_inner_3
                                                      ],
                                                      1711626602,
                                                      31,
                                                      -8,
                                                      dtype="int32",
                                                  )
                                                  + 132,
                                                  255,
                                              ),
                                              0,
                                          ),
                                          "uint8",
                                      ),
                                      "int32",
                                  )
                                  - 132,
                                  2094289803,
                                  31,
                                  -2,
                                  dtype="int32",
                              )
                              + 136
                          )
  
imports: import sys
  import pytest
  import tvm
  from tvm import PoolInfoProperties, WorkspacePoolInfo
  from tvm.script import tir, ir
  from tvm.target import Target
  from tvm.tir import stmt_functor
  from tvm.tir.usmp import utils
label_desc: Use image node_id 3 for calling the ResnetStructurePlanned 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_15934180698220515269_(placeholder_16, placeholder_17, placeholder_18, T_add, global_workspace_4_var) without return types