code: def make_ethosu_binary_elementwise(
      ifm,
      ifm2,
      ifm_channels,
      ifm2_channels,
      operator_type,
      ofm_dtype,
      reversed_operands=False,
      activation="NONE",
      ifm_layout="NHWC",
      ifm2_layout="NHWC",
      ofm_layout="NHWC",
      rounding_mode="TFL",
      use_rescale: bool = False,
      rescale_scale: int = 0,
      rescale_shift: int = 0,
      lut=relay.const([], dtype="int8"),
      ifm_scale: float = 1.0,
      ifm_zero_point: int = 0,
      ifm2_scale: float = 1.0,
      ifm2_zero_point: int = 0,
      ofm_scale: float = 1.0,
      ofm_zero_point: int = 0,
  ):
      ethosu_binary_elementwise = ethosu_ops.ethosu_binary_elementwise(
          ifm=ifm,
          ifm2=ifm2,
          lut=lut,
          operator_type=operator_type,
          ifm_scale=ifm_scale,
          ifm_zero_point=ifm_zero_point,
          ifm2_scale=ifm2_scale,
          ifm2_zero_point=ifm2_zero_point,
          ofm_scale=ofm_scale,
          ofm_zero_point=ofm_zero_point,
          ifm_channels=ifm_channels,
          ifm2_channels=ifm2_channels,
          reversed_operands=reversed_operands,
          activation=activation,
          ofm_dtype=ofm_dtype,
          clip_min=10 if activation == "CLIP" else 0,
          clip_max=100 if activation == "CLIP" else 0,
          rounding_mode=rounding_mode,
          ifm_layout=ifm_layout,
          ifm2_layout=ifm2_layout,
          ofm_layout=ofm_layout,
          use_rescale=use_rescale,
          rescale_scale=rescale_scale,
          rescale_shift=rescale_shift,
      )
      return ethosu_binary_elementwise
  
imports: from typing import List
  import os
  import struct
  import numpy
  import math
  from enum import IntEnum
  import tensorflow
  from ethosu.vela.register_command_stream_generator import CmdMode
  from ethosu.vela.register_command_stream_generator import cmd0
  from ethosu.vela.register_command_stream_generator import cmd1
  import tvm
  from tvm import relay
  import tvm.relay.backend.contrib.ethosu.op
  from tvm.topi.nn.utils import get_pad_tuple
  from tvm.relay.expr_functor import ExprMutator
  from tvm.relay.op.annotation import compiler_begin, compiler_end
  from tvm.relay.backend.contrib.ethosu import preprocess
  import tvm.relay.testing.tf
  from tvm import WorkspaceMemoryPools, WorkspacePoolInfo, PoolInfoProperties
  from tvm.relay.op.contrib.ethosu import partition_for_ethosu
  from tvm.testing.aot import AOTCompiledTestModel, AOTDataLinkage, AOTTestModel, AOTTestRunner, compile_models, run_and_check
label_desc: Use image node_id 23 for calling a global function with example usage: make_ethosu_binary_elementwise(ifm, ifm2, ifm_channels, ifm2_channels, operator_type, ofm_dtype, reversed_operands, activation, ifm_layout, ifm2_layout, ofm_layout, rounding_mode, use_rescale, rescale_scale, rescale_shift, lut, ifm_scale, ifm_zero_point, ifm2_scale, ifm2_zero_point, ofm_scale, ofm_zero_point) and returns: ethosu_binary_elementwise