Issue 19

Implemented and documented issue #19 (closed)

bob/learn/tensorflow/script/train.py

+#!/usr/bin/env python
+# vim: set fileencoding=utf-8 :
+# @author: Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
+# @date: Wed 04 Jan 2017 18:00:36 CET
+
+"""
+Train a Neural network using bob.learn.tensorflow
+
+Usage:
+  train.py [--iterations=<arg> --validation-interval=<arg> --output-dir=<arg> --pretrained-net=<arg> --use-gpu --prefetch ] <configuration>
+  train.py -h | --help
+Options:
+  -h --help     Show this screen.
+  --iterations=<arg>   [default: 1000]
+  --validation-interval=<arg>   [default: 100]
+  --output-dir=<arg>    [default: ./logs/]
+  --pretrained-net=<arg>
+"""
+
+
+from docopt import docopt
+import imp
+
+
+def main():
+    args = docopt(__doc__, version='Train Neural Net')
+
+    #ITERATIONS = int(args['--iterations'])
+    #VALIDATION_TEST = int(args['--validation-interval'])
+    #USE_GPU = args['--use-gpu']
+    #OUTPUT_DIR = str(args['--output-dir'])
+    #PREFETCH = args['--prefetch']
+    #if args['--pretrained-net'] is None:
+    #    PRETRAINED_NET = ""
+    #else:
+    #    PRETRAINED_NET = str(args['--pretrained-net'])
+
+    config = imp.load_source('config', args['<configuration>'])
+
+    trainer = config.Trainer(architecture=config.architecture,
+                             loss=config.loss,
+                             iterations=int(args['--iterations']),
+                             analizer=None,
+                             prefetch=args['--prefetch'],
+                             learning_rate=config.learning_rate,
+                             temp_dir=args['--output-dir'],
+                             model_from_file=config.model_from_file
+                             )
+
+    import ipdb; ipdb.set_trace();
+    trainer.train(config.train_data_shuffler)
+