code: def test_clone_changes_predictions(nH, nI):
      model1 = Linear(nH)
      model = clone(model1, 10)
      ones = numpy.ones((10, nI), dtype="f")
      model.initialize(X=ones)
      output_from_cloned = model.predict(ones)
      output_from_orig = model1.predict(ones)
      assert output_from_cloned.sum() != output_from_orig.sum()
  
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from thinc.api import Dropout, Linear, Model, NumpyOps, add, clone, concatenate, map_list, noop
  from thinc.layers import chain, tuplify
label_desc: Use image node_id 29 for calling a global function with example usage: test_clone_changes_predictions(nH, nI) without return types