code: def test_clip():
      def verify_clip(dshape, a_min, a_max, dtype="float32"):
          x = relay.var("x", relay.ty.TensorType(dshape, dtype))
          y = relay.clip(x, a_min, a_max)
          func = relay.Function([x], y)
          x_data = np.random.uniform(size=dshape).astype(dtype)
          verify_results(
              func, [x_data], "test_clip", rtol=1e-5, atol=1e-5
          )
  
      verify_clip((5, 5, 2, 5), 0, 0.2)
      verify_clip((5, 5, 2, 5), 0.2, 0.5)
  
imports: import pytest
  import numpy
  import onnxruntime
  import tvm
  from tvm import relay
  from tvm.contrib.target.onnx import to_onnx
  from tvm.relay.testing import run_infer_type
label_desc: Use image node_id 27 for calling a global function with example usage: test_clip() without return types