def train_eval_model(): train_spec = tf.estimator.TrainSpec( input_fn=lambda: input_utils.train_input_fn( FLAGS.train_data, FLAGS.batch_size), max_steps=FLAGS.train_steps) eval_spec = tf.estimator.EvalSpec( input_fn=lambda: input_utils.eval_input_fn(FLAGS.eval_data, FLAGS. batch_size), start_delay_secs=60, throttle_secs=30, steps=1000) tf.estimator.train_and_evaluate(classifier, train_spec, eval_spec)
def train_model(): #from tensorflow.python import debug as tf_debug #debug_hook = tf_debug.LocalCLIDebugHook() classifier.train(input_fn=lambda: input_utils.train_input_fn( FLAGS.train_data, FLAGS.batch_size), max_steps=FLAGS.train_steps)