code: def relu_n1_to_1(x):
      """
      The specific pattern will be replaced into RELU_N1_TO_1 by tflite.
      """
      return tf.math.maximum(-1.0, tf.math.minimum(x, 1.0))
  
imports: import pytest
  import math
  import numpy
  import tensorflow
  import tflite.Model
  import tvm
  from tvm import relay
  from tvm.relay.backend.contrib.ethosu import legalize, preprocess
  from tvm.relay import dataflow_pattern
  from tvm.relay.op.contrib import ethosu
  from tvm.relay.backend.contrib.ethosu import util, codegen
  from tvm.relay.build_module import bind_params_by_name
  from tvm.relay.frontend.tflite import get_pad_value
  from tvm.relay.expr_functor import ExprVisitor
  from .None import infra
label_desc: Use image node_id 2 for calling a global function with example usage: relu_n1_to_1(x) and returns: tf