code: def test_precommit_resnet50(method, kwargs):
      tf.keras.backend.clear_session()
  
      def analyzer(model):
          return method(model, **kwargs)
  
      dryrun.test_analyzer(analyzer, "imagenet.resnet50")
  
file_path: innvestigate/tests/analyzer/test_gradient_based.py
imports: import pytest
  import tensorflow
  from innvestigate.analyzer import BaselineGradient, Deconvnet, Gradient, GuidedBackprop, InputTimesGradient, IntegratedGradients, SmoothGrad
  from tests import dryrun
label_desc: Use image node_id 4 for calling a global function with example usage: test_precommit_resnet50(method, kwargs) and returns: method