public final class
LoadTPUEmbeddingAdagradParametersGradAccumDebug
Load Adagrad embedding 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 | LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options | Optional attributes for LoadTPUEmbeddingAdagradParametersGradAccumDebug
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options |
config(String config)
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| static LoadTPUEmbeddingAdagradParametersGradAccumDebug | |
| static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options |
tableId(Long tableId)
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| static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options |
tableName(String tableName)
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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:
"LoadTPUEmbeddingAdagradParametersGradAccumDebug"
Public Methods
public static LoadTPUEmbeddingAdagradParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> accumulators, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParametersGradAccumDebug operation.
Parameters
| scope | current scope |
|---|---|
| parameters | Value of parameters used in the Adagrad optimization algorithm. |
| accumulators | Value of accumulators used in the Adagrad optimization algorithm. |
| gradientAccumulators | Value of gradient_accumulators used in the Adagrad optimization algorithm. |
| options | carries optional attributes values |
Returns
- a new instance of LoadTPUEmbeddingAdagradParametersGradAccumDebug