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)