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

ConfigureTPUEmbeddingMemory

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public final class ConfigureTPUEmbeddingMemory

An op that configures the TPUEmbedding software on a host.

Public Methods

Output<String>
asOutput()
Returns the symbolic handle of a tensor.
static ConfigureTPUEmbeddingMemory
create(Scope scope, Operand<String> commonConfig)
Factory method to create a class wrapping a new ConfigureTPUEmbeddingMemory operation.
Output<String>
memoryConfig()
A string-encoded memory configuration containing metadata about the memory allocations reserved for TPUEmbedding.

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 static ConfigureTPUEmbeddingMemory create (Scope scope, Operand<String> commonConfig)

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

Parameters
scope current scope
commonConfig A string-encoded CommonConfiguration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
Returns
  • a new instance of ConfigureTPUEmbeddingMemory

public Output<String> memoryConfig ()

A string-encoded memory configuration containing metadata about the memory allocations reserved for TPUEmbedding.