RunMetadata

classe finale publique RunMetadata

 Metadata output (i.e., non-Tensor) for a single Run() call.
 

tensorflow.RunMetadata de type Protobuf.RunMetadata

Classes imbriquées

classe	RunMetadata.Builder		Metadata output (i.e., non-Tensor) for a single Run() call.
classe	RunMetadata.FunctionGraphs		tensorflow.RunMetadata.FunctionGraphs de type Protobuf.RunMetadata.FunctionGraphs
interface	RunMetadata.FunctionGraphsOrBuilder

Constantes

int	COST_GRAPH_FIELD_NUMBER
int	FUNCTION_GRAPHS_FIELD_NUMBER
int	PARTITION_GRAPHS_FIELD_NUMBER
int	STEP_STATS_FIELD_NUMBER

Méthodes publiques

booléen	est égal à (Obj objet)
CoûtGraphDef	getCostGraph () The cost graph for the computation defined by the run call.
CostGraphDefOrBuilder	getCostGraphOrBuilder () The cost graph for the computation defined by the run call.
RunMetadata statique	getDefaultInstance ()
Exécuter les métadonnées	getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
RunMetadata.FunctionGraphs	getFunctionGraphs (index int) This is only populated for graphs that are run as functions in TensorFlow V2.
int	getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Liste < RunMetadata.FunctionGraphs >	getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (index int) This is only populated for graphs that are run as functions in TensorFlow V2.
Liste<? étend RunMetadata.FunctionGraphsOrBuilder >	getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
	getParserForType ()
GraphDef	getPartitionGraphs (index int) Graphs of the partitions executed by executors.
int	getPartitionGraphsCount () Graphs of the partitions executed by executors.
Liste< GraphDef >	getPartitionGraphsList () Graphs of the partitions executed by executors.
GraphDefOrBuilder	getPartitionGraphsOrBuilder (index int) Graphs of the partitions executed by executors.
Liste<? étend GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
int	getSerializedSize ()
Statistiques des étapes	getStepStats () Statistics traced for this step.
StepStatsOrBuilder	getStepStatsOrBuilder () Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booléen	hasCostGraph () The cost graph for the computation defined by the run call.
booléen	hasStepStats () Statistics traced for this step.
int	Code de hachage ()
booléen final	estInitialisé ()
RunMetadata.Builder statique	newBuilder (prototype RunMetadata )
RunMetadata.Builder statique	nouveauBuilder ()
RunMetadata.Builder	nouveauBuilderForType ()
RunMetadata statique	parseDelimitedFrom (entrée InputStream)
RunMetadata statique	parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statique	parseFrom (données ByteBuffer)
RunMetadata statique	parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statique	parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statique	parseFrom (entrée com.google.protobuf.CodedInputStream)
RunMetadata statique	parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statique	parseFrom (données com.google.protobuf.ByteString)
RunMetadata statique	parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statique	parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique	analyseur ()
RunMetadata.Builder	toBuilder ()
vide	writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.RunMetadataOrBuilder

résumé CostGraphDef	getCostGraph () The cost graph for the computation defined by the run call.
résumé CostGraphDefOrBuilder	getCostGraphOrBuilder () The cost graph for the computation defined by the run call.
résumé RunMetadata.FunctionGraphs	getFunctionGraphs (index int) This is only populated for graphs that are run as functions in TensorFlow V2.
abstrait entier	getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Liste abstraite < RunMetadata.FunctionGraphs >	getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
résumé RunMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (index int) This is only populated for graphs that are run as functions in TensorFlow V2.
Liste abstraite <? étend RunMetadata.FunctionGraphsOrBuilder >	getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
résumé GraphDef	getPartitionGraphs (index int) Graphs of the partitions executed by executors.
abstrait entier	getPartitionGraphsCount () Graphs of the partitions executed by executors.
Liste abstraite< GraphDef >	getPartitionGraphsList () Graphs of the partitions executed by executors.
résumé GraphDefOrBuilder	getPartitionGraphsOrBuilder (index int) Graphs of the partitions executed by executors.
Liste abstraite <? étend GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
Résumé StepStats	getStepStats () Statistics traced for this step.
résumé StepStatsOrBuilder	getStepStatsOrBuilder () Statistics traced for this step.
booléen abstrait	hasCostGraph () The cost graph for the computation defined by the run call.
booléen abstrait	hasStepStats () Statistics traced for this step.

Constantes

public statique final entier COST_GRAPH_FIELD_NUMBER

Valeur constante : 2

public statique final int FUNCTION_GRAPHS_FIELD_NUMBER

Valeur constante : 4

public statique final int PARTITION_GRAPHS_FIELD_NUMBER

Valeur constante : 3

public statique final int STEP_STATS_FIELD_NUMBER

Valeur constante : 1

Méthodes publiques

public booléen égal (Objet obj)

public CostGraphDef getCostGraph ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

public CostGraphDefOrBuilder getCostGraphOrBuilder ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

public statique RunMetadata getDefaultInstance ()

public RunMetadata getDefaultInstanceForType ()

public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public RunMetadata.FunctionGraphs getFunctionGraphs (index int)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

public int getFunctionGraphsCount ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

liste publique < RunMetadata.FunctionGraphs > getFunctionGraphsList ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

public RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (index int)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Liste publique <? étend RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

publique getParserForType ()

public GraphDef getPartitionGraphs (index int)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

public int getPartitionGraphsCount ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

liste publique < GraphDef > getPartitionGraphsList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

public GraphDefOrBuilder getPartitionGraphsOrBuilder (index int)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Liste publique <? étend GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

public int getSerializedSize ()

StepStats publics getStepStats ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

public StepStatsOrBuilder getStepStatsOrBuilder ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public booléen hasCostGraph ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

public booléen hasStepStats ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

code de hachage int public ()

public final booléen isInitialized ()

public statique RunMetadata.Builder newBuilder (prototype RunMetadata )

public statique RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public statique RunMetadata parseDelimitedFrom (entrée InputStream)

Jetés

IOException

public statique RunMetadata parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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IOException

public statique RunMetadata parseFrom (données ByteBuffer)

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InvalidProtocolBufferException

public statique RunMetadata parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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IOException

public statique RunMetadata parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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InvalidProtocolBufferException

public statique RunMetadata parseFrom (entrée com.google.protobuf.CodedInputStream)

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IOException

public statique RunMetadata parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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InvalidProtocolBufferException

public statique RunMetadata parseFrom (données com.google.protobuf.ByteString)

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InvalidProtocolBufferException

public statique RunMetadata parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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IOException

public statique RunMetadata parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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InvalidProtocolBufferException

public statique analyseur ()

public RunMetadata.Builder toBuilder ()

public void writeTo (sortie com.google.protobuf.CodedOutputStream)

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IOException