code: def _get_model(shape, dtype, a_min, a_max):
      assert (
          a_min >= np.iinfo(dtype).min and a_max <= np.iinfo(dtype).max
      )
      a = relay.var("a", shape=shape, dtype=dtype)
      relu = relay.clip(a, a_min=a_min, a_max=a_max)
      return relu
  
file_path: tvm/tests/python/contrib/test_ethosn/test_relu.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 1 for calling a global function with example usage: _get_model(shape, dtype, a_min, a_max) and returns: relu