tf.contrib.tpu.TPUDistributionStrategy

The strategy to run Keras model on TPU.

tf.contrib.tpu.TPUDistributionStrategy(
    tpu_cluster_resolver=None, using_single_core=False
)

Args

tpu_cluster_resolver Any instance of TPUClusterResolver. If None, will create one with '' as master address.

using_single_core Bool. This is the debugging option, which might be removed in future once the model replication functionality is mature enough. If False (default behavior), the system automatically finds the best configuration, in terms of number of TPU cores, for the model replication, typically using all available TPU cores. If overwrites as True, force the model replication using single core, i.e., no replication.

Args
`tpu_cluster_resolver`	Any instance of `TPUClusterResolver`. If None, will create one with '' as master address.
`using_single_core`	Bool. This is the debugging option, which might be removed in future once the model replication functionality is mature enough. If `False` (default behavior), the system automatically finds the best configuration, in terms of number of TPU cores, for the model replication, typically using all available TPU cores. If overwrites as `True`, force the model replication using single core, i.e., no replication.

Raises
`Exception`	No TPU Found on the given worker.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tpu/TPUDistributionStrategy