RunMetadata

RunMetadata de clase final pública

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

Clases anidadas

clase RunMetadata.Builder 
 Metadata output (i.e., non-Tensor) for a single Run() call. 
clase RunMetadata.FunctionGraphs Protobuf tipo tensorflow.RunMetadata.FunctionGraphs
interfaz RunMetadata.FunctionGraphsOrBuilder

Constantes

En t COST_GRAPH_FIELD_NUMBER
En t FUNCTION_GRAPHS_FIELD_NUMBER
En t PARTITION_GRAPHS_FIELD_NUMBER
En t STEP_STATS_FIELD_NUMBER

Métodos públicos

booleano
es igual a (Objeto obj)
CostGraphDef
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 estático
getDefaultInstance ()
RunMetadata
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
getDescriptor ()
RunMetadata.FunctionGraphs
getFunctionGraphs (índice int)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
En t
getFunctionGraphsCount ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
Lista < RunMetadata.FunctionGraphs >
getFunctionGraphsList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (índice int)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
Lista <? extiende RunMetadata.FunctionGraphsOrBuilder >
getFunctionGraphsOrBuilderList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
getParserForType ()
GraphDef
getPartitionGraphs (índice int)
 Graphs of the partitions executed by executors.
En t
getPartitionGraphsCount ()
 Graphs of the partitions executed by executors.
Lista < GraphDef >
getPartitionGraphsList ()
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (índice int)
 Graphs of the partitions executed by executors.
Lista <? extiende GraphDefOrBuilder >
getPartitionGraphsOrBuilderList ()
 Graphs of the partitions executed by executors.
En t
getSerializedSize ()
StepStats
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booleano
hasCostGraph ()
 The cost graph for the computation defined by the run call.
booleano
hasStepStats ()
 Statistics traced for this step.
En t
hashCode ()
booleano final
isInitialized ()
estático RunMetadata.Builder
newBuilder (prototipo RunMetadata )
estático RunMetadata.Builder
newBuilder ()
RunMetadata.Builder
newBuilderForType ()
RunMetadata estático
parseDelimitedFrom (entrada InputStream)
RunMetadata estático
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (datos ByteBuffer)
RunMetadata estático
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (entrada com.google.protobuf.CodedInputStream)
RunMetadata estático
parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (datos com.google.protobuf.ByteString)
RunMetadata estático
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analizador ()
RunMetadata.Builder
toBuilder ()
vacío
writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

Constantes

public static final int COST_GRAPH_FIELD_NUMBER

Valor constante: 2

public static final int FUNCTION_GRAPHS_FIELD_NUMBER

Valor constante: 4

public static final int PARTITION_GRAPHS_FIELD_NUMBER

Valor constante: 3

public static final int STEP_STATS_FIELD_NUMBER

Valor constante: 1

Métodos públicos

public boolean es igual a (Object 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 static RunMetadata getDefaultInstance ()

public RunMetadata getDefaultInstanceForType ()

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

public RunMetadata.FunctionGraphs getFunctionGraphs (índice 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).
.tensorflow.RunMetadata.FunctionGraphs 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).
.tensorflow.RunMetadata.FunctionGraphs repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Lista pública < 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).
.tensorflow.RunMetadata.FunctionGraphs repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

public RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (índice 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).
.tensorflow.RunMetadata.FunctionGraphs repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Lista pública <? extiende 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).
.tensorflow.RunMetadata.FunctionGraphs repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

público getParserForType ()

public GraphDef getPartitionGraphs (índice 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;

Lista pública < GraphDef > getPartitionGraphsList () 

 Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;

public GraphDefOrBuilder getPartitionGraphsOrBuilder (índice int) 

 Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;

Lista pública <? extiende GraphDefOrBuilder > getPartitionGraphsOrBuilderList () 

 Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;

public int getSerializedSize ()

public StepStats 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 boolean hasCostGraph () 

 The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;

public boolean 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;

public int hashCode ()

public final boolean isInitialized ()

public static RunMetadata.Builder newBuilder (prototipo RunMetadata )

public static RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (entrada InputStream)

Lanza
IOException

public static RunMetadata parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

público estático RunMetadata parseFrom (datos ByteBuffer)

Lanza
InvalidProtocolBufferException

public static RunMetadata parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static RunMetadata parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

público estático RunMetadata parseFrom (entrada com.google.protobuf.CodedInputStream)

Lanza
IOException

public static RunMetadata parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

público estático RunMetadata parseFrom (datos de com.google.protobuf.ByteString)

Lanza
InvalidProtocolBufferException

public static RunMetadata parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static RunMetadata parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

público estático analizador ()

public RunMetadata.Builder toBuilder ()

public void writeTo (salida de com.google.protobuf.CodedOutputStream)

Lanza
IOException