code: def test_explainer_api_nonscalar_outputs(output_feature, tmpdir):
      run_test_explainer_api(
          IntegratedGradientsExplainer,
          MODEL_ECD,
          [output_feature],
          {},
          tmpdir,
      )
  
imports: import logging
  import os
  import numpy
  import pandas
  import pytest
  from ludwig.api import LudwigModel
  from ludwig.constants import BATCH_SIZE, BINARY, CATEGORY, MINIMUM_BATCH_SIZE, MODEL_ECD, MODEL_GBM, TYPE
  from ludwig.explain.captum import IntegratedGradientsExplainer
  from ludwig.explain.explainer import Explainer
  from ludwig.explain.explanation import Explanation
  from ludwig.explain.gbm import GBMExplainer
  from tests.integration_tests.utils import binary_feature, category_feature, date_feature, generate_data, image_feature, LocalTestBackend, number_feature, sequence_feature, set_feature, text_feature, timeseries_feature, vector_feature
label_desc: Use image node_id 9 for calling a global function with example usage: test_explainer_api_nonscalar_outputs(output_feature, tmpdir) without return types