Load proximal 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 | LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options | Optional attributes for LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options |
config(String config)
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static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug | |
static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options |
tableId(Long tableId)
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static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.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
Public Methods
public static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options config (String config)
public static LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug 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 LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug operation.
Parameters
scope | current scope |
---|---|
parameters | Value of parameters used in the proximal Adagrad optimization algorithm. |
accumulators | Value of accumulators used in the proximal Adagrad optimization algorithm. |
gradientAccumulators | Value of gradient_accumulators used in the proximal Adagrad optimization algorithm. |
options | carries optional attributes values |
Returns
- a new instance of LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug