code: def tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast(
      placeholder_4: T.handle,
      placeholder_5: T.handle,
      placeholder_6: T.handle,
      T_cast_2: T.handle,
  ) -> None:
      # function attr dict
      T.func_attr(
          {
              "global_symbol": "tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast",
              "tir.noalias": True,
          }
      )
      placeholder_7 = T.match_buffer(
          placeholder_4, [360000], dtype="int16"
      )
      placeholder_8 = T.match_buffer(
          placeholder_5, [4096], dtype="int16"
      )
      placeholder_9 = T.match_buffer(placeholder_6, [64], dtype="int32")
      T_cast_3 = T.match_buffer(T_cast_2, [360000], dtype="int16")
      # body
      PaddedInput = T.decl_buffer([360000], "int16")
      for i0_i1_fused, i2, i3 in T.grid(75, 75, 64):
          PaddedInput[
              i0_i1_fused * 4800 + i2 * 64 + i3
          ] = placeholder_7[i0_i1_fused * 4800 + i2 * 64 + i3]
      for ax0_ax1_fused_ax2_fused in T.serial(0, 5625):
          Conv2dOutput = T.decl_buffer([64], "int32")
          for ff in T.serial(0, 64):
              Conv2dOutput[ff] = 0
              for rc in T.serial(0, 64):
                  Conv2dOutput[ff] = Conv2dOutput[ff] + T.cast(
                      PaddedInput[ax0_ax1_fused_ax2_fused * 64 + rc],
                      "int32",
                  ) * T.cast(placeholder_8[rc * 64 + ff], "int32")
          for ax3_inner_1 in T.serial(0, 64):
              T_cast_3[
                  ax0_ax1_fused_ax2_fused * 64 + ax3_inner_1
              ] = T.cast(
                  T.cast(
                      T.max(
                          T.min(
                              T.q_multiply_shift(
                                  Conv2dOutput[ax3_inner_1]
                                  + placeholder_9[ax3_inner_1],
                                  1843106743,
                                  31,
                                  -6,
                                  dtype="int32",
                              ),
                              255,
                          ),
                          0,
                      ),
                      "uint8",
                  ),
                  "int16",
              )
  
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 6 for calling the ResnetStructure obj's underlying member method code with example usage: obj.tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast(placeholder_4, placeholder_5, placeholder_6, T_cast_2) without return types