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
Exécuter les métadonnées
final statique com.google.protobuf.Descriptors.Descriptor
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.
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
Statistiques des étapes
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet
booléen
hasCostGraph ()
 The cost graph for the computation defined by the run call.
booléen
hasStepStats ()
 Statistics traced for this step.
int
booléen final
RunMetadata.Builder statique
newBuilder (prototype RunMetadata )
RunMetadata.Builder statique
RunMetadata.Builder
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
RunMetadata.Builder
vide
writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

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)

Jetés
IOException

public statique RunMetadata parseFrom (données ByteBuffer)

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

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

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

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

Jetés
InvalidProtocolBufferException

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

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

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

Jetés
InvalidProtocolBufferException

public statique analyseur ()

public RunMetadata.Builder toBuilder ()

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

Jetés
IOException