code: def test_keras_telemetry(
      dummy_model, dummy_data, relay_server, wandb_init
  ):
      with relay_server() as relay:
          run = wandb_init()
          dummy_model.fit(
              *dummy_data,
              epochs=2,
              batch_size=36,
              callbacks=[
                  WandbCallback(),
              ],
          )
          run.finish()
  
      telemetry = relay.context.get_run_telemetry(run.id)
      assert telemetry and 8 in telemetry.get("3", [])
  
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 5 for calling a global function with example usage: test_keras_telemetry(dummy_model, dummy_data, relay_server, wandb_init) without return types