public final class
LoadTPUEmbeddingADAMParametersGradAccumDebug
Load ADAM 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 | LoadTPUEmbeddingADAMParametersGradAccumDebug.Options | Optional attributes for LoadTPUEmbeddingADAMParametersGradAccumDebug
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Public Methods
| static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options |
config(String config)
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| static LoadTPUEmbeddingADAMParametersGradAccumDebug | |
| static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options |
tableId(Long tableId)
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| static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options |
tableName(String tableName)
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Inherited Methods
Public Methods
public static LoadTPUEmbeddingADAMParametersGradAccumDebug create (Scope scope, Operand<Float> parameters, Operand<Float> momenta, Operand<Float> velocities, Operand<Float> gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParametersGradAccumDebug operation.
Parameters
| scope | current scope |
|---|---|
| parameters | Value of parameters used in the ADAM optimization algorithm. |
| momenta | Value of momenta used in the ADAM optimization algorithm. |
| velocities | Value of velocities used in the ADAM optimization algorithm. |
| gradientAccumulators | Value of gradient_accumulators used in the ADAM optimization algorithm. |
| options | carries optional attributes values |
Returns
- a new instance of LoadTPUEmbeddingADAMParametersGradAccumDebug