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authorAlex Auvolat <alex.auvolat@ens.fr>2015-07-25 14:38:06 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-07-25 14:38:06 -0400
commita67f85dd7a3d6ca69d9adf7cbac2cc796079d223 (patch)
tree0a8a9823f77e0889c6a445b6894b7d0036f0c500
parenta557b939eb104ec7e0df42193e014e3137eb70f8 (diff)
downloadtaxi-a67f85dd7a3d6ca69d9adf7cbac2cc796079d223.tar.gz
taxi-a67f85dd7a3d6ca69d9adf7cbac2cc796079d223.zip
Add monitor_freq config variable
-rwxr-xr-xtrain.py15
1 files changed, 10 insertions, 5 deletions
diff --git a/train.py b/train.py
index b4ef774..1d59bb5 100755
--- a/train.py
+++ b/train.py
@@ -106,16 +106,21 @@ if __name__ == "__main__":
dump_path = os.path.join('model_data', model_name) + '.pkl'
logger.info('Dump path: %s' % dump_path)
- extensions=[TrainingDataMonitoring(monitored, prefix='train', every_n_batches=10000),
+ if hasattr(config, 'monitor_freq'):
+ monitor_freq = config.monitor_freq
+ else:
+ monitor_freq = 10000
+
+ extensions=[TrainingDataMonitoring(monitored, prefix='train', every_n_batches=monitor_freq),
DataStreamMonitoring(valid_monitored, valid_stream,
prefix='valid',
- every_n_batches=10000),
- Printing(every_n_batches=10000),
+ every_n_batches=monitor_freq),
+ Printing(every_n_batches=monitor_freq),
FinishAfter(every_n_batches=10000000),
SaveLoadParams(dump_path, cg,
before_training=True, # before training -> load params
- every_n_batches=10000, # every N batches -> save params
+ every_n_batches=monitor_freq,# every N batches -> save params
after_epoch=True, # after epoch -> save params
after_training=True, # after training -> save params
),
@@ -123,7 +128,7 @@ if __name__ == "__main__":
RunOnTest(model_name,
model,
stream,
- every_n_batches=10000),
+ every_n_batches=monitor_freq),
]
if '--progress' in sys.argv: