code: def maybe_log_accuracy(step, last_training_batch):
      if step % 20 == 0:
          evaluate(step, last_training_batch, train_writer, "training")
          validate_data = {
              x: mnist.validation.images,
              y_: mnist.validation.labels,
          }
          evaluate(step, validate_data, validate_writer, "validate")
  
imports: import argparse
  import json
  import tensorflow
  from tensorflow.examples.tutorials.mnist import input_data
label_desc: Use image node_id 15 for calling a global function with example usage: maybe_log_accuracy(step, last_training_batch) without return types