Revert "Flags"

tutorials/image/cifar10/cifar10.py

@@ -35,7 +35,6 @@
 from __future__ import division
 from __future__ import print_function
 
-import argparse
 import os
 import re
 import sys
@@ -46,19 +45,15 @@
 
 import cifar10_input
 
-parser = argparse.ArgumentParser()
+FLAGS = tf.app.flags.FLAGS
 
 # Basic model parameters.
-parser.add_argument('--batch_size', type=int, default=128,
-                    help='Number of images to process in a batch.')
-
-parser.add_argument('--data_dir', type=str, default='/tmp/cifar10_data',
-                    help='Path to the CIFAR-10 data directory.')
-
-parser.add_argument('--use_fp16', type=bool, default=False,
-                    help='Train the model using fp16.')
-
-FLAGS = parser.parse_args()
+tf.app.flags.DEFINE_integer('batch_size', 128,
+                            """Number of images to process in a batch.""")
+tf.app.flags.DEFINE_string('data_dir', '/tmp/cifar10_data',
+                           """Path to the CIFAR-10 data directory.""")
+tf.app.flags.DEFINE_boolean('use_fp16', False,
+                            """Train the model using fp16.""")
 
 # Global constants describing the CIFAR-10 data set.
 IMAGE_SIZE = cifar10_input.IMAGE_SIZE

tutorials/image/cifar10/cifar10_eval.py

@@ -43,25 +43,20 @@
 
 import cifar10
 
-parser = cifar10.parser
-
-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.')
+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):
@@ -159,5 +154,4 @@ def main(argv=None):  # pylint: disable=unused-argument
 
 
 if __name__ == '__main__':
-  FLAGS = parser.parse_args()
   tf.app.run()

tutorials/image/cifar10/cifar10_multi_gpu_train.py

@@ -49,19 +49,17 @@
 import tensorflow as tf
 import cifar10
 
-parser = cifar10.parser
+FLAGS = tf.app.flags.FLAGS
 
-parser.add_argument('--train_dir', type=str, default='/tmp/cifar10_train',
-                    help='Directory where to write event logs and checkpoint.')
-
-parser.add_argument('--max_steps', type=int, default=1000000,
-                    help='Number of batches to run.')
-
-parser.add_argument('--num_gpus', type=int, default=1,
-                    help='How many GPUs to use.')
-
-parser.add_argument('--log_device_placement', type=bool, default=False,
-                    help='Whether to log device placement.')
+tf.app.flags.DEFINE_string('train_dir', '/tmp/cifar10_train',
+                           """Directory where to write event logs """
+                           """and checkpoint.""")
+tf.app.flags.DEFINE_integer('max_steps', 1000000,
+                            """Number of batches to run.""")
+tf.app.flags.DEFINE_integer('num_gpus', 1,
+                            """How many GPUs to use.""")
+tf.app.flags.DEFINE_boolean('log_device_placement', False,
+                            """Whether to log device placement.""")
 
 
 def tower_loss(scope, images, labels):
@@ -276,5 +274,4 @@ def main(argv=None):  # pylint: disable=unused-argument
 
 
 if __name__ == '__main__':
-  FLAGS = parser.parse_args()
   tf.app.run()

tutorials/image/cifar10/cifar10_train.py

@@ -43,19 +43,17 @@
 
 import cifar10
 
-parser = cifar10.parser
+FLAGS = tf.app.flags.FLAGS
 
-parser.add_argument('--train_dir', type=str, default='/tmp/cifar10_train',
-                    help='Directory where to write event logs and checkpoint.')
-
-parser.add_argument('--max_steps', type=int, default=1000000,
-                    help='Number of batches to run.')
-
-parser.add_argument('--log_device_placement', type=bool, default=False,
-                    help='Whether to log device placement.')
-
-parser.add_argument('--log_frequency', type=int, default=10,
-                    help='How often to log results to the console.')
+tf.app.flags.DEFINE_string('train_dir', '/tmp/cifar10_train',
+                           """Directory where to write event logs """
+                           """and checkpoint.""")
+tf.app.flags.DEFINE_integer('max_steps', 1000000,
+                            """Number of batches to run.""")
+tf.app.flags.DEFINE_boolean('log_device_placement', False,
+                            """Whether to log device placement.""")
+tf.app.flags.DEFINE_integer('log_frequency', 10,
+                            """How often to log results to the console.""")
 
 
 def train():
@@ -126,5 +124,4 @@ def main(argv=None):  # pylint: disable=unused-argument
 
 
 if __name__ == '__main__':
-  FLAGS = parser.parse_args()
   tf.app.run()