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