experiments/STT-tensorflow
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Remove the hard dependency of distribute_coordinator.CoordinatorMode in keras.

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PiperOrigin-RevId: 339311858
Change-Id: Ie943fe2e9ff32c20be49e2c88a908c614386ccd4
This commit is contained in:
Scott Zhu 2020-10-27 13:03:40 -07:00 committed by TensorFlower Gardener
parent 5b768f5917
commit a9c9fff285
2 changed files with 2 additions and 2 deletions
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2
tensorflow/python/keras/backend.py
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@ -6513,7 +6513,7 @@ def configure_and_create_distributed_session(distribution_strategy):
dc.run_distribute_coordinator( dc.run_distribute_coordinator(
_create_session, _create_session,
distribution_strategy, distribution_strategy,
mode=dc.CoordinatorMode.INDEPENDENT_WORKER) mode='independent_worker')
else: else:
_create_session(distribution_strategy) _create_session(distribution_strategy)

2
tensorflow/python/keras/engine/training_distributed_v1.py
View File

@ -777,7 +777,7 @@ def _train_with_multi_worker(method):
return dc.run_distribute_coordinator( return dc.run_distribute_coordinator(
_worker_fn, _worker_fn,
model._distribution_strategy, model._distribution_strategy,
mode=dc.CoordinatorMode.INDEPENDENT_WORKER) mode='independent_worker')
return wrapper return wrapper