code: def test_for_issues_135():
      inputs = Input((35,))
      x = Dense(64, activation="relu")(inputs)
      x = Dense(100, activation="relu")(x)
      x = Dense(50)(x)
      model = Model(inputs, x)
      data = np.random.rand(1, 35)
      grads = visualize_saliency(model, -1, 0, data, keepdims=True)
      assert grads.shape == (35,)
  
file_path: keras-vis/tests/vis/visualization/test_saliency.py
imports: import pytest
  import numpy
  import keras.backend
  from keras.layers import Input, Dense, Flatten
  from keras.models import Model
  from vis.losses import ActivationMaximization
  from vis.visualization.saliency import visualize_saliency, visualize_saliency_with_losses
label_desc: Use image node_id 7 for calling a global function with example usage: test_for_issues_135() without return types