class_docstr: To run: "python -m saliency.tf1.blur_ig_test" top-level saliency directory.
class_docstr_tok: ["To","run",":","``","python","-m","saliency.tf1.blur_ig_test","''","top-level","saliency","directory","."]
docstr: Tests that call_model_function receives correct inputs.
docstr_tok: ["Tests","that","call_model_function","receives","correct","inputs","."]
code: def testBlurIGGetMaskArgs(self):
      """Tests that call_model_function receives correct inputs."""
      x_steps = 5
      feed_dict = {"foo": "bar"}
      self.sess_spy.run.return_value = [
          self.x_input_val.reshape((1, 5, 5, 1))
      ]
  
      self.blur_ig_instance.GetMask(
          self.x_input_val,
          feed_dict=feed_dict,
          max_sigma=self.max_sigma,
          steps=x_steps,
      )
      actual_feed_dict = self.sess_spy.run.call_args[1]["feed_dict"]
  
      self.assertEqual(actual_feed_dict["foo"], feed_dict["foo"])
  
file_path: saliency/saliency/tf1/blur_ig_test.py
imports: import unittest
  import unittest.mock
  from .None import blur_ig
  import numpy
  from scipy.ndimage import gaussian_filter
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the BlurIgTest obj's underlying member method code with example usage: obj.testBlurIGGetMaskArgs() without return types