code: def get_expected_predict(input_data, Ws, bs):
      numpy_ops = NumpyOps()
      X = input_data
      for i, (W, b) in enumerate(zip(Ws, bs)):
          X = numpy_ops.asarray(X)
          if i > 0:
              X *= X > 0
          X = numpy.tensordot(X, W, axes=[[1], [1]]) + b
      return X
  
imports: from functools import partial
  import numpy
  import pytest
  from numpy.testing import assert_allclose
  from thinc.api import Linear, NumpyOps, Relu, chain
label_desc: Use image node_id 10 for calling a global function with example usage: get_expected_predict(input_data, Ws, bs) and returns: X