class_docstr: To run: "python -m unittest saliency.tf1.guided_ig_test" from the top-level directory.
class_docstr_tok: ["To","run",":","``","python","-m","unittest","saliency.tf1.guided_ig_test","''","from","the","top-level","directory","."]
docstr: Tests unbounded Guided IG with quadratic function and dependent partials.
      
docstr_tok: ["Tests","unbounded","Guided","IG","with","quadratic","function","and","dependent","partials","."]
code: def testDependentQuadraticUnbound(self):
      """Tests unbounded Guided IG with quadratic function and dependent partials."""
      gig = self._create_gig(self._quadratic_dep_test_model)
      mask = gig.GetMask(
          x_value=[3, 3], x_steps=1000, fraction=0.1, max_dist=1.0
      )
      np.testing.assert_allclose(mask, [72.0, 9.0], rtol=0.01)
  
file_path: saliency/saliency/tf1/guided_ig_test.py
imports: import unittest
  from .None import guided_ig
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 12 for calling the GuidedIGTest obj's underlying member method code with example usage: obj.testDependentQuadraticUnbound() without return types