code: def test_concatenate(dtype, shapes, axis):
      """Compare Concatenate output with TVM."""
      np.random.seed(0)
  
      outputs = []
      inputs = _get_inputs(shapes, dtype)
      for npu in [False, True]:
          model = _get_model(shapes, dtype, axis)
          mod = tei.make_module(model, {})
          outputs.append(
              tei.build_and_run(
                  mod,
                  inputs,
                  1,
                  {},
                  npu=npu,
                  additional_config_args={
                      "inline_non_compute_intensive_partitions": False
                  },
              )
          )
  
          tei.verify(outputs, dtype, 0)
  
file_path: tvm/tests/python/contrib/test_ethosn/test_concatenate.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_concatenate(dtype, shapes, axis) without return types