code: def test_keras_dsviz(dummy_model, dummy_data, wandb_init):
      run = wandb_init()
      dummy_model.fit(
          *dummy_data,
          epochs=2,
          batch_size=36,
          validation_data=dummy_data,
          callbacks=[
              WandbCallback(
                  log_evaluation=True,
                  validation_data=dummy_data,
              ),
          ],
      )
  
      assert run.summary["validation_predictions"] is not None
      assert (
          run.summary["validation_predictions"]["artifact_path"]
          is not None
      )
      assert (
          run.summary["validation_predictions"]["_type"] == "table-file"
      )
      run.finish()
  
imports: import glob
  import json
  import os
  import pytest
  import tensorflow
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Dense, Flatten, Reshape
  from tensorflow.keras.models import Sequential
  from wandb.keras import WandbCallback
label_desc: Use image node_id 16 for calling a global function with example usage: test_keras_dsviz(dummy_model, dummy_data, wandb_init) without return types