code: def test_relu_graph(self):
      X = np.random.randn(3, 2).astype(np.float32)
      Y_ref = np.clip(X, 0, np.inf)
  
      node_def = make_node("Relu", ["X"], ["Y"])
      output = c2.run_node(node_def, {"X": X})
      np.testing.assert_almost_equal(output.Y, Y_ref)
  
      graph_def = make_graph(
          [node_def],
          name="test",
          inputs=[
              make_tensor_value_info(
                  "X", onnx.TensorProto.FLOAT, [3, 2]
              )
          ],
          outputs=[
              make_tensor_value_info(
                  "Y", onnx.TensorProto.FLOAT, [3, 2]
              )
          ],
      )
      c2_rep = c2.prepare(
          make_model(graph_def, producer_name="caffe2-ref-test")
      )
      output = c2_rep.run(X)
      np.testing.assert_almost_equal(output.Y, Y_ref)
  
imports: import os
  import unittest
  from caffe2.python import core
  from caffe2.proto import caffe2_pb2
  import onnx
  from onnx.helper import make_node, make_graph, make_tensor, make_tensor_value_info, make_model
  from caffe2.python.onnx.helper import c2_native_run_net, c2_native_run_op
  from onnx import mapping
  import caffe2.python.onnx.frontend
  import caffe2.python.onnx.backend
  import numpy
  from caffe2.python.models.download import ModelDownloader
  from caffe2.python.onnx.tests.test_utils import TestCase
  import caffe2.python._import_c_extension
label_desc: Use image node_id 5 for calling the TestCaffe2Basic obj's underlying member method code with example usage: obj.test_relu_graph() without return types