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