code: def test_basic_predict(self):
      # FIXME: test succeeds if run alone or if run on the cpu-only version of jax
      # test fails with "DNN library is not found" if run on gpu with all other tests together
  
      model = elegy.Model(elegy.nets.resnet.ResNet18(), eager=True)
      assert isinstance(model.module, elegy.Module)
  
      x = np.random.random((2, 224, 224, 3)).astype(np.float32)
  
      model.init(x)
      y = model.predict(x)
  
      # update_modules results in a call to `set_default_parameters` for elegy Modules
      # it might be better to have the user call this explicitly to avoid potential OOM
      model.update_modules()
  
      assert jnp.all(y.shape == (2, 1000))
  
      # test loading weights from file
      with tempfile.TemporaryDirectory() as tempdir:
          pklpath = os.path.join(tempdir, "delete_me.pkl")
          open(pklpath, "wb").write(
              pickle.dumps(model.module.get_default_parameters())
          )
  
          new_r18 = elegy.nets.resnet.ResNet18(weights=pklpath)
          y2 = elegy.Model(new_r18, eager=True).predict(
              x, initialize=True
          )
  
      assert np.allclose(y, y2, rtol=0.001)
  
file_path: elegy/tests/nets/resnet_test.py
imports: import os
  import pickle
  import tempfile
  import urllib
  from unittest import TestCase
  import jax
  import jax.numpy
  import numpy
  import PIL
  import pytest
  import elegy
  from elegy import utils
label_desc: Use image node_id 1 for calling the ResNetTest obj's underlying member method code with example usage: obj.test_basic_predict() without return types