public final class
LoadTPUEmbeddingAdadeltaParametersGradAccumDebug
Load Adadelta parameters with debug support.
An op that loads optimization parameters into HBM for embedding. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to install parameters that are loaded from a checkpoint before a training loop is executed.
Nested Classes
| class | LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options | Optional attributes for LoadTPUEmbeddingAdadeltaParametersGradAccumDebug
|
|
Public Methods
| static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options |
config(String config)
|
| static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug | |
| static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options |
tableId(Long tableId)
|
| static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options |
tableName(String tableName)
|
Inherited Methods
Public Methods
public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug create (Scope scope, Operand<Float> parameters, Operand<Float> accumulators, Operand<Float> updates, Operand<Float> gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParametersGradAccumDebug operation.
Parameters
| scope | current scope |
|---|---|
| parameters | Value of parameters used in the Adadelta optimization algorithm. |
| accumulators | Value of accumulators used in the Adadelta optimization algorithm. |
| updates | Value of updates used in the Adadelta optimization algorithm. |
| gradientAccumulators | Value of gradient_accumulators used in the Adadelta optimization algorithm. |
| options | carries optional attributes values |
Returns
- a new instance of LoadTPUEmbeddingAdadeltaParametersGradAccumDebug