Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TPUReplicateMetadata
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Metadata indicating how the TPU computation should be replicated.
This operation holds the metadata common to operations of a `tpu.replicate()` computation subgraph.
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Parameters
| computationShape |
DEPRECATED. Use num_cores_per_replica instead.
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Factory method to create a class wrapping a new TPUReplicateMetadata operation.
Parameters
| scope |
current scope |
| numReplicas |
Number of replicas of the computation |
| options |
carries optional attributes values |
Returns
- a new instance of TPUReplicateMetadata
Parameters
| deviceAssignment |
The assignment of devices for the computation.
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Parameters
| numCoresPerReplica |
Number of cores per replica. Used for model parallelism.
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Parameters
| topology |
TopologyProto indicating the topology of the TPU pod slice.
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Parameters
| useTpu |
Whether to place the computation on the TPU.
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Last updated 2022-09-07 UTC.
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