RunMetadata

classe finale pubblica RunMetadata

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

Classi nidificate

classe RunMetadata.Builder
 Metadata output (i.e., non-Tensor) for a single Run() call. 
classe RunMetadata.FunctionGraphs Tipo di protocollo tensorflow.RunMetadata.FunctionGraphs
interfaccia RunMetadata.FunctionGraphsOrBuilder

Costanti

int COST_GRAPH_FIELD_NUMBER
int FUNCTION_GRAPHS_FIELD_NUMBER
int PARTITION_GRAPHS_FIELD_NUMBER
int STEP_STATS_FIELD_NUMBER

Metodi pubblici

booleano
è uguale a (Oggetto oggetto)
CostoGraphDef
getGraficoCosti ()
 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 statico
RunMetadata
com.google.protobuf.Descriptors.Descriptor statico finale
RunMetadata.FunctionGraphs
getFunctionGraphs (indice 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.
Elenco< RunMetadata.FunctionGraphs >
getFunctionGraphsList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (indice int)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
Elenco<? estende RunMetadata.FunctionGraphsOrBuilder >
getFunctionGraphsOrBuilderList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
GraficoDef
getPartitionGraphs (indice int)
 Graphs of the partitions executed by executors.
int
getPartitionGraphsCount ()
 Graphs of the partitions executed by executors.
Elenco <GraphDef>
getPartitionGraphsList ()
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (indice int)
 Graphs of the partitions executed by executors.
Elenco<? estende GraphDefOrBuilder >
getPartitionGraphsOrBuilderList ()
 Graphs of the partitions executed by executors.
int
StepStats
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
finale com.google.protobuf.UnknownFieldSet
booleano
hasCostGraph ()
 The cost graph for the computation defined by the run call.
booleano
hasStepStats ()
 Statistics traced for this step.
int
booleano finale
RunMetadata.Builder statico
newBuilder (prototipo RunMetadata )
RunMetadata.Builder statico
RunMetadata.Builder
RunMetadata statico
parseDelimitedFrom (input InputStream)
RunMetadata statico
parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statico
parseFrom (dati ByteBuffer)
RunMetadata statico
parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
RunMetadata statico
parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statico
parseFrom (ingresso com.google.protobuf.CodedInputStream)
RunMetadata statico
parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statico
parseFrom (dati com.google.protobuf.ByteString)
RunMetadata statico
parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statico
parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
statico
RunMetadata.Builder
vuoto
writeTo (output com.google.protobuf.CodedOutputStream)

Metodi ereditati

Costanti

pubblico statico finale int COST_GRAPH_FIELD_NUMBER

Valore costante: 2

public static final int FUNCTION_GRAPHS_FIELD_NUMBER

Valore costante: 4

public static final int PARTITION_GRAPHS_FIELD_NUMBER

Valore costante: 3

public static final int STEP_STATS_FIELD_NUMBER

Valore costante: 1

Metodi pubblici

booleano pubblico è uguale a (Oggetto 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;

pubblico statico RunMetadata getDefaultInstance ()

public RunMetadata getDefaultInstanceForType ()

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

public RunMetadata.FunctionGraphs getFunctionGraphs (indice 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;

Elenco pubblico < 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 (indice 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;

Elenco pubblico<? 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;

pubblico getParserForType ()

public GraphDef getPartitionGraphs (indice 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;

Elenco pubblico < GraphDef > getPartitionGraphsList ()

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

public GraphDefOrBuilder getPartitionGraphsOrBuilder (indice int)

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

Elenco pubblico<? estende 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;

pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()

pubblico booleano hasCostGraph ()

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

hasStepStats booleano pubblico ()

 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 booleano isInitialized ()

pubblico statico RunMetadata.Builder newBuilder (prototipo RunMetadata )

pubblico statico RunMetadata.Builder newBuilder ()

pubblico RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (input InputStream)

Lancia
IOException

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

Lancia
IOException

parseFrom RunMetadata statico pubblico (dati ByteBuffer)

Lancia
InvalidProtocolBufferException

parseFrom RunMetadata statico pubblico (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)

Lancia
IOException

parseFrom pubblico statico RunMetadata (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
InvalidProtocolBufferException

parseFrom RunMetadata statico pubblico (input com.google.protobuf.CodedInputStream)

Lancia
IOException

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

Lancia
InvalidProtocolBufferException

parseFrom RunMetadata statico pubblico (dati com.google.protobuf.ByteString)

Lancia
InvalidProtocolBufferException

parseFrom pubblico statico RunMetadata (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
IOException

parseFrom pubblico statico RunMetadata (dati com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
InvalidProtocolBufferException

pubblico statico analizzatore ()

pubblico RunMetadata.Builder toBuilder ()

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

Lancia
IOException