code: def test_copy():
      """Copy unit test."""
  
      def verify_copy(dshape, dtype="float32"):
          x = relay.var("x", relay.ty.TensorType(dshape, dtype))
          y = relay.copy(x)
          func = relay.Function([x], y)
          x_data = np.random.uniform(size=dshape).astype(dtype)
          verify_results(
              func, [x_data], "test_copy", rtol=1e-4, atol=1e-4
          )
  
      isize = [(1, 3, 480, 640), (1, 3, 224, 224)]
  
      for i in isize:
          verify_copy(i)
  
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 31 for calling a global function with example usage: test_copy() without return types