code: def tvmgen_default_fused_cast_subtract(
      placeholder_2: T.handle,
      placeholder_3: T.handle,
      T_subtract: T.handle,
      fast_memory_2_var: T.handle("uint8"),
      slow_memory_3_var: T.handle("uint8"),
  ) -> None:
      placeholder_4 = T.match_buffer(
          placeholder_2, [150528], dtype="uint8"
      )
      placeholder_5 = T.match_buffer(placeholder_3, [1], dtype="int16")
      T_subtract_1 = T.match_buffer(T_subtract, [452], dtype="int16")
      fast_memory_2_buffer_var = T.match_buffer(
          fast_memory_2_var,
          [200704],
          dtype="uint8",
          strides=[1],
          elem_offset=0,
          align=16,
      )
      slow_memory_3_buffer_var = T.match_buffer(
          slow_memory_3_var,
          [1418528],
          dtype="uint8",
          strides=[1],
          elem_offset=0,
          align=16,
      )
      # body
      for ax0_ax1_fused_1, ax2_1, ax3_inner_1 in T.grid(224, 224, 3):
          T_subtract_1[
              ax0_ax1_fused_1 * 672 + ax2_1 * 3 + ax3_inner_1
          ] = (
              T.cast(
                  placeholder_4[
                      ax0_ax1_fused_1 * 672 + ax2_1 * 3 + ax3_inner_1
                  ],
                  "int16",
              )
              - placeholder_5[0]
          )
  
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 LinearStructurePlanned obj's underlying member method code with example usage: obj.tvmgen_default_fused_cast_subtract(placeholder_2, placeholder_3, T_subtract, fast_memory_2_var, slow_memory_3_var) without return types