code: def test_unary_op(
      self, target, dev, relay_op, ref_func, supports_fp16, dtype
  ):
      target = tvm.target.Target(target)
      if dtype == "float16":
          if target.kind.name == "cuda":
              if not have_fp16(tvm.cuda(0).compute_version):
                  pytest.xfail(
                      "No float16 support on local cuda device (compute_version != 5.3 and < 6.0)"
                  )
          elif target.kind.name == "vulkan" and not target.attrs.get(
              "supports_float16", False
          ):
              pytest.xfail(
                  "No float16 support on vulkan target (supports_float16=False)"
              )
          elif not supports_fp16:
              pytest.xfail(
                  f"No float16 support on {target.kind.name} target"
              )
  
      if target.kind.name == "vulkan" and relay_op in [
          tvm.relay.erf,
          tvm.relay.tan,
          tvm.relay.atan,
      ]:
          pytest.xfail(f"Vulkan runtime doesn't yet support {relay_op}")
  
      shape = (10, 4)
      dtype = dtype
      tp = relay.TensorType(shape, dtype=dtype)
      x = relay.var("x", type_annotation=tp)
      y = relay_op(x)
      # test printer
      assert ("{}(%x)".format(y.op.name)) in y.astext()
      # test type inference
      yy = run_infer_type(y)
      assert yy.checked_type == tp
  
      if ref_func is not None:
          data = np.random.rand(*shape).astype(dtype)
          ref_res = ref_func(data).astype(dtype)
          func = relay.Function([x], y)
          # use graph by execuor default for testing, as we need
          # create function explicitly to avoid constant-folding.
          op_res = relay.create_executor(
              "graph", device=dev, target=target
          ).evaluate(func)(data)
          tolerance = 1e-2 if dtype == "float16" else 1e-5
          np.testing.assert_allclose(
              op_res.numpy(), ref_res, rtol=tolerance
          )
  
imports: import numpy
  import pytest
  import tvm
  from tvm import te
  import scipy
  from tvm import relay
  import pytest
  from tvm.relay.testing import run_infer_type
  import tvm.topi.testing
  from tvm.contrib.nvcc import have_fp16
  import tvm.testing
  from tvm.topi.utils import get_const_tuple
label_desc: Use image node_id 1 for calling the TestUnaryOp obj's underlying member method code with example usage: obj.test_unary_op(target, dev, relay_op, ref_func, supports_fp16, dtype) without return types