public final class
RetrieveTPUEmbeddingFTRLParameters
Retrieve FTRL 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 | RetrieveTPUEmbeddingFTRLParameters.Options | Optional attributes for RetrieveTPUEmbeddingFTRLParameters
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<TFloat32> |
accumulators()
Parameter accumulators updated by the FTRL optimization algorithm.
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| static RetrieveTPUEmbeddingFTRLParameters.Options |
config(String config)
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| static RetrieveTPUEmbeddingFTRLParameters |
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.
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| Output<TFloat32> |
linears()
Parameter linears updated by the FTRL optimization algorithm.
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| Output<TFloat32> |
parameters()
Parameter parameters updated by the FTRL optimization algorithm.
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| static RetrieveTPUEmbeddingFTRLParameters.Options |
tableId(Long tableId)
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| static RetrieveTPUEmbeddingFTRLParameters.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:
"RetrieveTPUEmbeddingFTRLParameters"
Public Methods
public Output<TFloat32> accumulators ()
Parameter accumulators updated by the FTRL optimization algorithm.
public static RetrieveTPUEmbeddingFTRLParameters create (Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.
Parameters
| scope | current scope |
|---|---|
| options | carries optional attributes values |
Returns
- a new instance of RetrieveTPUEmbeddingFTRLParameters
public Output<TFloat32> parameters ()
Parameter parameters updated by the FTRL optimization algorithm.