code: def test_ethosu_binary_elementwise(
      accel_type,
      operator_type,
      ifm_shape,
      ifm2_shape,
      activation_function,
  ):
      np.random.seed(0)
  
      @tf.function
      def binary_elementwise(lhs, rhs):
          if operator_type == "ADD":
              op = tf.math.add(lhs, rhs)
          elif operator_type == "SUB":
              op = tf.math.subtract(lhs, rhs)
          elif operator_type == "MUL":
              op = tf.math.multiply(lhs, rhs)
          elif operator_type == "MIN":
              op = tf.math.minimum(lhs, rhs)
          elif operator_type == "MAX":
              op = tf.math.maximum(lhs, rhs)
          if activation_function == "RELU":
              op = tf.nn.relu(op)
          return op
  
      infra.compare_tvm_with_tflite(
          binary_elementwise,
          shapes=[ifm_shape, ifm2_shape],
          ranges=[(0, 1), (0, 2)],
          accel_type=accel_type,
          enable_cascader=is_u55_accel_type(accel_type),
      )
  
imports: import pytest
  import numpy
  import tflite.Model
  import tvm
  import tensorflow
  from tvm import relay
  from tvm.relay.backend.contrib.ethosu import util
  from tvm.relay.op.contrib.ethosu import partition_for_ethosu
  from tvm.testing.aot import generate_ref_data
  from .None import infra
label_desc: Use image node_id 14 for calling a global function with example usage: test_ethosu_binary_elementwise(accel_type, operator_type, ifm_shape, ifm2_shape, activation_function) and returns: op