Retrieve Momentum embedding parameters with debug support.
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 | RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options | Optional attributes for RetrieveTPUEmbeddingMomentumParametersGradAccumDebug
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Public Methods
static RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options |
config(String config)
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static RetrieveTPUEmbeddingMomentumParametersGradAccumDebug |
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParametersGradAccumDebug operation.
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Output<Float> |
gradientAccumulators()
Parameter gradient_accumulators updated by the Momentum optimization algorithm.
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Output<Float> |
momenta()
Parameter momenta updated by the Momentum optimization algorithm.
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Output<Float> |
parameters()
Parameter parameters updated by the Momentum optimization algorithm.
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static RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options |
tableId(Long tableId)
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static RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options |
tableName(String tableName)
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Inherited Methods
Public Methods
public static RetrieveTPUEmbeddingMomentumParametersGradAccumDebug create (Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParametersGradAccumDebug operation.
Parameters
scope | current scope |
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options | carries optional attributes values |
Returns
- a new instance of RetrieveTPUEmbeddingMomentumParametersGradAccumDebug
public Output<Float> gradientAccumulators ()
Parameter gradient_accumulators updated by the Momentum optimization algorithm.
public Output<Float> parameters ()
Parameter parameters updated by the Momentum optimization algorithm.