code: def test_multiple_transform_ops_with_reduction_in_dimensionality():
      """Removal of an identity operation between two transform operations is usually okay.
      However, if the dimensionality of the input is reduced by the second transformation
      operation, it can lead to an output mismatch. Checking that the pass doesn't remove
      an identity given this case."""
  
      def get_graph():
          x = relay.var("x", shape=(1, 2, 2, 4), dtype="int8")
          x = relay.strided_slice(
              x, begin=(0, 0, 0, 0), end=(1, 2, 2, 2)
          )
          x = infra.make_ethosu_identity(x)
          x = relay.reshape(x, newshape=(1, 2, 4))
          x = infra.make_ethosu_identity(x)
          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 15 for calling a global function with example usage: test_multiple_transform_ops_with_reduction_in_dimensionality() and returns: relay