update train generic script

bob/learn/tensorflow/script/train_generic.py

@@ -3,18 +3,25 @@
 """Trains networks using Tensorflow estimators.
 
 Usage:
-  %(prog)s [options] <config_files>...
-  %(prog)s --help
-  %(prog)s --version
+    %(prog)s [-v...] [options] <config_files>...
+    %(prog)s --help
+    %(prog)s --version
 
 Arguments:
-  <config_files>  The configuration files. The configuration files are loaded
-                  in order and they need to have several objects inside
-                  totally. See below for explanation.
+    <config_files>                     The configuration files. The
+                                       configuration files are loaded in order
+                                       and they need to have several objects
+                                       inside totally. See below for
+                                       explanation.
 
 Options:
-  -h --help  show this help message and exit
-  --version  show version and exit
+    -h --help                          Show this help message and exit
+    --version                          Show version and exit
+    -v, --verbose                      Increases the output verbosity level
+    -s N, --steps N                    The number of steps to train.
+    -m N, --max-steps N                The maximum number of steps to train.
+                                       This is a limit for global step which
+                                       continues in separate runs.
 
 The configuration files should have the following objects totally:
 
@@ -26,11 +33,6 @@ The configuration files should have the following objects totally:
   ## Optional objects:
 
   hooks
-  steps
-  max_steps
-
-For an example configuration, please see:
-bob.learn.tensorflow/bob/learn/tensorflow/examples/mnist/mnist_config.py
 """
 from __future__ import absolute_import
 from __future__ import division
@@ -38,6 +40,10 @@ from __future__ import print_function
 # import pkg_resources so that bob imports work properly:
 import pkg_resources
 from bob.bio.base.utils import read_config_file
+from bob.learn.tensorflow.utils.commandline import \
+    get_from_config_or_commandline
+from bob.core.log import setup, set_verbosity_level
+logger = setup(__name__)
 
 
 def main(argv=None):
@@ -46,17 +52,27 @@ def main(argv=None):
     import sys
     docs = __doc__ % {'prog': os.path.basename(sys.argv[0])}
     version = pkg_resources.require('bob.learn.tensorflow')[0].version
+    defaults = docopt(docs, argv=[""])
     args = docopt(docs, argv=argv, version=version)
     config_files = args['<config_files>']
     config = read_config_file(config_files)
 
+    # optional arguments
+    verbosity = get_from_config_or_commandline(
+        config, 'verbose', args, defaults)
+    max_steps = get_from_config_or_commandline(
+        config, 'max_steps', args, defaults)
+    steps = get_from_config_or_commandline(
+        config, 'steps', args, defaults)
+    hooks = getattr(config, 'hooks', None)
+
+    # Sets-up logging
+    set_verbosity_level(logger, verbosity)
+
+    # required arguments
     estimator = config.estimator
     train_input_fn = config.train_input_fn
 
-    hooks = getattr(config, 'hooks', None)
-    steps = getattr(config, 'steps', None)
-    max_steps = getattr(config, 'max_steps', None)
-
     # Train
     estimator.train(input_fn=train_input_fn, hooks=hooks, steps=steps,
                     max_steps=max_steps)