public final class LoadTPUEmbeddingStochasticGradientDescentParameters extends PrimitiveOp
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.
Modifier and Type | Class and Description |
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static class |
LoadTPUEmbeddingStochasticGradientDescentParameters.Options
Optional attributes for
LoadTPUEmbeddingStochasticGradientDescentParameters |
operation
Modifier and Type | Method and Description |
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static LoadTPUEmbeddingStochasticGradientDescentParameters |
create(Scope scope,
Operand<Float> parameters,
Long numShards,
Long shardId,
LoadTPUEmbeddingStochasticGradientDescentParameters.Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingStochasticGradientDescentParameters operation.
|
static LoadTPUEmbeddingStochasticGradientDescentParameters.Options |
tableId(Long tableId) |
static LoadTPUEmbeddingStochasticGradientDescentParameters.Options |
tableName(String tableName) |
equals, hashCode, op, toString
public static LoadTPUEmbeddingStochasticGradientDescentParameters create(Scope scope, Operand<Float> parameters, Long numShards, Long shardId, LoadTPUEmbeddingStochasticGradientDescentParameters.Options... options)
scope
- current scopeparameters
- Value of parameters used in the stochastic gradient descent optimization algorithm.numShards
- shardId
- options
- carries optional attributes valuespublic static LoadTPUEmbeddingStochasticGradientDescentParameters.Options tableId(Long tableId)
tableId
- public static LoadTPUEmbeddingStochasticGradientDescentParameters.Options tableName(String tableName)
tableName
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