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