Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ExecuteTPUEmbeddingPartitioner

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public final class ExecuteTPUEmbeddingPartitioner

An op that executes the TPUEmbedding partitioner on the central configuration

device and computes the HBM size (in bytes) required for TPUEmbedding operation.

Public Methods

Output<String>
asOutput()
Returns the symbolic handle of a tensor.
Output<String>
commonConfig()
A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
static ExecuteTPUEmbeddingPartitioner
create(Scope scope, String config)
Factory method to create a class wrapping a new ExecuteTPUEmbeddingPartitioner operation.

Inherited Methods

Public Methods

public Output<String> 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 Output<String> commonConfig ()

A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.

public static ExecuteTPUEmbeddingPartitioner create (Scope scope, String config)

Factory method to create a class wrapping a new ExecuteTPUEmbeddingPartitioner operation.

Parameters
scope current scope
config An TPUEmbeddingConfiguration proto serialized to a string, describing the desired TPUEmbedding configuration.
Returns
  • a new instance of ExecuteTPUEmbeddingPartitioner