spacing

tutorials/image/cifar10/cifar10.py

@@ -49,9 +49,14 @@ import cifar10_input
 parser = argparse.ArgumentParser()
 
 # 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.')
+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()
 # Global constants describing the CIFAR-10 data set.

tutorials/image/cifar10/cifar10_eval.py

@@ -46,17 +46,23 @@ 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_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('--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('--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('--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('--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.')
+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):

tutorials/image/cifar10/cifar10_multi_gpu_train.py

@@ -52,13 +52,17 @@ import cifar10
 
 parser = cifar10.parser
 
-parser.add_argument('--train_dir', type=str, default='/tmp/cifar10_train', help='Directory where to write event logs and checkpoint.')
+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('--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('--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.')
+parser.add_argument('--log_device_placement', type=bool, default=False,
+                    help='Whether to log device placement.')
 
 
 def tower_loss(scope, images, labels):

tutorials/image/cifar10/cifar10_train.py

@@ -46,13 +46,17 @@ import cifar10
 
 parser = cifar10.parser
 
-parser.add_argument('--train_dir', type=str, default='/tmp/cifar10_train', help='Directory where to write event logs and checkpoint.')
+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('--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_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.')
+parser.add_argument('--log_frequency', type=int, default=10,
+                    help='How often to log results to the console.')
 
 
 def train():