Retrieve SGD embedding parameters.
An op that retrieves optimization parameters from embedding to host memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to retrieve updated parameters before saving a checkpoint.
Nested Classes
class | RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options | Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters
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Public Methods
Output<Float> |
asOutput()
Returns the symbolic handle of a tensor.
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static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options |
config(String config)
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static RetrieveTPUEmbeddingStochasticGradientDescentParameters |
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
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Output<Float> |
parameters()
Parameter parameters updated by the stochastic gradient descent optimization algorithm.
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static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options |
tableId(Long tableId)
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static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options |
tableName(String tableName)
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Inherited Methods
Public Methods
public Output<Float> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options config (String config)
public static RetrieveTPUEmbeddingStochasticGradientDescentParameters create (Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
Parameters
scope | current scope |
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options | carries optional attributes values |
Returns
- a new instance of RetrieveTPUEmbeddingStochasticGradientDescentParameters
public Output<Float> parameters ()
Parameter parameters updated by the stochastic gradient descent optimization algorithm.