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author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-07-02 14:32:23 -0400 |
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committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-07-02 14:32:23 -0400 |
commit | 6cf80aff3e4dc57d13a33c2946bc0ae57cfae6b8 (patch) | |
tree | 938058560a56772102b34e6b5f18301349a52688 /train.py | |
parent | 5096e0cdae167122d07b09cd207a04f28ea5c3f5 (diff) | |
download | taxi-6cf80aff3e4dc57d13a33c2946bc0ae57cfae6b8.tar.gz taxi-6cf80aff3e4dc57d13a33c2946bc0ae57cfae6b8.zip |
More determinism
Diffstat (limited to 'train.py')
-rwxr-xr-x | train.py | 18 |
1 files changed, 11 insertions, 7 deletions
@@ -87,6 +87,9 @@ if __name__ == "__main__": else: step_rule = AdaDelta() + logger.info("Fuel seed: %d" % fuel.config.default_seed) + logger.info("Blocks seed: %d" % blocks.config.default_seed) + params = cg.parameters algorithm = GradientDescent( cost=cost, @@ -107,13 +110,14 @@ if __name__ == "__main__": prefix='valid', every_n_batches=1000), Printing(every_n_batches=1000), - - # SaveLoadParams(dump_path, cg, - # before_training=True, # before training -> load params - # every_n_batches=1000, # every N batches -> save params - # after_epoch=True, # after epoch -> save params - # after_training=True, # after training -> save params - # ), + # FinishAfter(every_n_batches=10), + + SaveLoadParams(dump_path, cg, + before_training=True, # before training -> load params + every_n_batches=1000, # every N batches -> save params + after_epoch=True, # after epoch -> save params + after_training=True, # after training -> save params + ), RunOnTest(model_name, model, |