public final class
RetrieveTPUEmbeddingRMSPropParameters
Retrieve RMSProp embedding parameters.
An op that retrieves optimization parameters from embedding to host memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to retrieve updated parameters before saving a checkpoint.
Nested Classes
| class | RetrieveTPUEmbeddingRMSPropParameters.Options | Optional attributes for RetrieveTPUEmbeddingRMSPropParameters
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static RetrieveTPUEmbeddingRMSPropParameters.Options |
config(String config)
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| static RetrieveTPUEmbeddingRMSPropParameters |
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.
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| Output<TFloat32> |
mom()
Parameter mom updated by the RMSProp optimization algorithm.
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| Output<TFloat32> |
ms()
Parameter ms updated by the RMSProp optimization algorithm.
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| Output<TFloat32> |
parameters()
Parameter parameters updated by the RMSProp optimization algorithm.
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| static RetrieveTPUEmbeddingRMSPropParameters.Options |
tableId(Long tableId)
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| static RetrieveTPUEmbeddingRMSPropParameters.Options |
tableName(String tableName)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"RetrieveTPUEmbeddingRMSPropParameters"
Public Methods
public static RetrieveTPUEmbeddingRMSPropParameters create (Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.
Parameters
| scope | current scope |
|---|---|
| options | carries optional attributes values |
Returns
- a new instance of RetrieveTPUEmbeddingRMSPropParameters
public Output<TFloat32> parameters ()
Parameter parameters updated by the RMSProp optimization algorithm.