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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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
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
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.
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
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Last updated 2022-09-07 UTC.
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