code: def test_requantize_identity_no_removal():
      """Check that an identity that actually performs a requantize isn't removed."""
  
      def get_graph():
          x = relay.var("x", shape=(1, 2, 2, 4), dtype="int8")
          x = relay.reshape(x, newshape=(1, 1, 4, 4))
          x = infra.make_ethosu_identity(
              x,
              ifm_scale=0.5,
              ifm_zero_point=1,
              ofm_scale=0.3,
              ofm_zero_point=2,
          )
          x = infra.make_ethosu_unary_elementwise(x, 4, "ABS")
          return relay.Function(relay.analysis.free_vars(x), x)
  
      actual = _optimize(get_graph())
      expected = _optimize(get_graph(), optimize=False)
      _assert_structural_equal(actual, expected)
  
imports: import pytest
  import tensorflow
  import tvm
  from tvm import relay
  from tvm.relay.op.contrib.ethosu import partition_for_ethosu
  from tvm.relay.backend.contrib.ethosu.codegen import relay_to_tir
  from tvm.relay.backend.contrib.ethosu.codegen import IdentityOptimizer
  from .None import infra
label_desc: Use image node_id 7 for calling a global function with example usage: test_requantize_identity_no_removal() and returns: relay