1fae78e75111eefed02904614db040f970cfdba3,tutorials/image/cifar10/cifar10_eval.py,,,#,46

Before Change

import cifar10

FLAGS = tf.app.flags.FLAGS

tf.app.flags.DEFINE_string("eval_dir", "/tmp/cifar10_eval",
                           Directory where to write event logs.)
tf.app.flags.DEFINE_string("eval_data", "test",
                           Either "test" or "train_eval".)
tf.app.flags.DEFINE_string("checkpoint_dir", "/tmp/cifar10_train",
                           Directory where to read model checkpoints.)
tf.app.flags.DEFINE_integer("eval_interval_secs", 60 * 5,
                            How often to run the eval.)
tf.app.flags.DEFINE_integer("num_examples", 10000,
                            Number of examples to run.)
tf.app.flags.DEFINE_boolean("run_once", False,
                         Whether to run eval only once.)


def eval_once(saver, summary_writer, top_k_op, summary_op):
  Run Eval once.

After Change

import cifar10

parser = argparse.ArgumentParser()

parser.add_argument("--eval_dir", type=str, default="/tmp/cifar10_eval", help="Directory where to write event logs.")

parser.add_argument("--eval_data", type=str, default="test", help="Either `test` or `train_eval`.")

parser.add_argument("--checkpoint_dir", type=str, default="/tmp/cifar10_train", help="Directory where to read model checkpoints.")

parser.add_argument("--eval_interval_secs", type=int, default=60*5, help="How often to run the eval.")

parser.add_argument("--num_examples", type=int, default=10000, help="Number of examples to run.")

parser.add_argument("--run_once", type=bool, default=False, help="Whether to run eval only once.")


def eval_once(saver, summary_writer, top_k_op, summary_op):
  Run Eval once.

Instances