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