public final class
RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
Retrieve RMSProp embedding parameters with debug support.
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 | RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options | Optional attributes for RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options |
config(String config)
|
| static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug |
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug operation.
|
| Output<TFloat32> |
gradientAccumulators()
Parameter gradient_accumulators updated by the RMSProp optimization algorithm.
|
| Output<TFloat32> |
mom()
Parameter mom updated by the RMSProp optimization algorithm.
|
| Output<TFloat32> |
ms()
Parameter ms updated by the RMSProp optimization algorithm.
|
| Output<TFloat32> |
parameters()
Parameter parameters updated by the RMSProp optimization algorithm.
|
| static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options |
tableId(Long tableId)
|
| static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options |
tableName(String tableName)
|
Inherited Methods
| 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()
|
| abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
| abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug"
Public Methods
public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug create (Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug operation.
Parameters
| scope | current scope |
|---|---|
| options | carries optional attributes values |
Returns
- a new instance of RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
public Output<TFloat32> gradientAccumulators ()
Parameter gradient_accumulators updated by the RMSProp optimization algorithm.
public Output<TFloat32> parameters ()
Parameter parameters updated by the RMSProp optimization algorithm.