code: def after_run(self, run_context, run_values):
      step = run_values.results["global_step"]
      if step % self._steps_per_log == 0:
          wandb.tensorboard._log(
              run_values.results["summary"],
              history=self._history,
              step=step,
          )
  
file_path: wandb/wandb/integration/tensorflow/estimator_hook.py
imports: import tensorflow
  import wandb
  from wandb.sdk.lib import telemetry
label_desc: Use image node_id 4 for calling the WandbHook obj's underlying member method code with example usage: obj.after_run(run_context, run_values) without return types