code: def test_mean_non_equal_quantization(dtype):
      """Test mean is not offloaded when quantization is not equal."""
  
      np.random.seed(0)
  
      shape = (1, 7, 7, 2048)
      zp_min = np.iinfo(dtype).min
  
      model = _get_model(
          shape,
          [1, 2],
          True,
          zp_min + 120,
          0.0068132,
          zp_min + 128,
          0.0078125,
          dtype,
      )
      mod = tei.make_module(model, [])
      tei.build(
          mod, {}, npu=True, expected_host_ops=3, npu_partitions=0
      )
  
file_path: tvm/tests/python/contrib/test_ethosn/test_mean.py
imports: import numpy
  import pytest
  import tvm
  from tvm import relay
  from tvm.testing import requires_ethosn
  from .None import infrastructure
label_desc: Use image node_id 3 for calling a global function with example usage: test_mean_non_equal_quantization(dtype) without return types