RunMetadata

classe final pública RunMetadata

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

Classes aninhadas

aula RunMetadata.Builder 
 Metadata output (i.e., non-Tensor) for a single Run() call. 
aula RunMetadata.FunctionGraphs Tipo de protobuf tensorflow.RunMetadata.FunctionGraphs
interface RunMetadata.FunctionGraphsOrBuilder

Constantes

interno COST_GRAPH_FIELD_NUMBER
interno FUNCTION_GRAPHS_FIELD_NUMBER
interno PARTITION_GRAPHS_FIELD_NUMBER
interno STEP_STATS_FIELD_NUMBER

Métodos Públicos

booleano
é igual (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 ()
ExecutarMetadados
getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
RunMetadata.FunctionGraphs
getFunctionGraphs (índice interno) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
interno
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 interno) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
Lista<? estende RunMetadata.FunctionGraphsOrBuilder >
getFunctionGraphsOrBuilderList () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
getParserForType ()
GráficoDef
getPartitionGraphs (índice interno) 
 Graphs of the partitions executed by executors.
interno
getPartitionGraphsCount () 
 Graphs of the partitions executed by executors.
Lista< GraphDef >
getPartitionGraphsList () 
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (índice interno) 
 Graphs of the partitions executed by executors.
Lista<? estende GraphDefOrBuilder >
getPartitionGraphsOrBuilderList () 
 Graphs of the partitions executed by executors.
interno
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.
interno
código hash ()
booleano final
éinicializado ()
RunMetadata.Builder estático
newBuilder (protótipo RunMetadata )
RunMetadata.Builder estático
novoConstrutor ()
RunMetadata.Builder
novoBuilderForType ()
RunMetadata estático
parseDelimitedFrom (entrada InputStream)
RunMetadata estático
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (dados de ByteBuffer)
RunMetadata estático
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (entrada com.google.protobuf.CodedInputStream)
RunMetadata estático
parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (dados com.google.protobuf.ByteString)
RunMetadata estático
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analisador ()
RunMetadata.Builder
paraConstrutor ()
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Constantes

int final estático público COST_GRAPH_FIELD_NUMBER

Valor Constante: 2

público estático final int FUNCTION_GRAPHS_FIELD_NUMBER

Valor Constante: 4

público estático final int PARTITION_GRAPHS_FIELD_NUMBER

Valor Constante: 3

público estático final int STEP_STATS_FIELD_NUMBER

Valor Constante: 1

Métodos Públicos

booleano público é igual (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;

público estático RunMetadata getDefaultInstance ()

público RunMetadata getDefaultInstanceForType ()

final estático público com.google.protobuf.Descriptors.Descriptor getDescriptor ()

público 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).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

público 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;

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).
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).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Lista pública<? estende 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;

público getParserForType ()

público GraphDef getPartitionGraphs (índice int) 

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

público 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;

público GraphDefOrBuilder getPartitionGraphsOrBuilder (índice int) 

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

Lista pública<? estende GraphDefOrBuilder > getPartitionGraphsOrBuilderList () 

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

público int getSerializedSize ()

StepStats públicos 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;

público StepStatsOrBuildergetStepStatsOrBuilder ( ) 

 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;

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

hasCostGraph booleano público () 

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

hasStepStats booleano público () 

 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;

hashCode int público ()

público final booleano isInitialized ()

público estático RunMetadata.Builder newBuilder (protótipo RunMetadata )

público estático RunMetadata.Builder newBuilder ()

público RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (entrada InputStream)

Lança
IOException

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

Lança
IOException

público estático RunMetadata parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

público estático RunMetadata parseFrom (dados com.google.protobuf.ByteString)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

público RunMetadata.Builder toBuilder ()

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

Lança
IOException