RunMetadata

public final class RunMetadata

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

Classes aninhadas

aula RunMetadata.Builder 
 Metadata output (i.e., non-Tensor) for a single Run() call. 
aula RunMetadata.FunctionGraphs tensorflow.RunMetadata.FunctionGraphs type tensorflow.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

Métodos Públicos

boleano
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 ()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
RunMetadata.FunctionGraphs
getFunctionGraphs (int index)
 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.
List < 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 <? estende RunMetadata.FunctionGraphsOrBuilder >
getFunctionGraphsOrBuilderList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
getParserForType ()
GraphDef
getPartitionGraphs (int index)
 Graphs of the partitions executed by executors.
int
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.
int
getSerializedSize ()
StepStats
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
boleano
hasCostGraph ()
 The cost graph for the computation defined by the run call.
boleano
hasStepStats ()
 Statistics traced for this step.
int
hashCode ()
final booleano
isInitialized ()
static RunMetadata.Builder
newBuilder (protótipo RunMetadata )
static RunMetadata.Builder
newBuilder ()
RunMetadata.Builder
newBuilderForType ()
RunMetadata estático
parseDelimitedFrom (input InputStream)
RunMetadata estático
parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (dados ByteBuffer)
RunMetadata estático
parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (com.google.protobuf.CodedInputStream input)
RunMetadata estático
parseFrom (byte [] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (com.google.protobuf.ByteString data)
RunMetadata estático
parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analisador ()
RunMetadata.Builder
toBuilder ()
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

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 equals (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 (int index) 

 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;

public List < 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 interno ) 

 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 ()

public GraphDef getPartitionGraphs (int index) 

 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;

public List < GraphDef > getPartitionGraphsList () 

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

public GraphDefOrBuilder getPartitionGraphsOrBuilder (int index) 

 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;

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 (protótipo RunMetadata )

public static RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (InputStream input)

Lança
IOException

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

Lança
IOException

public static RunMetadata parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

public static RunMetadata parseFrom (com.google.protobuf.CodedInputStream input)

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

public RunMetadata.Builder toBuilder ()

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

Lança
IOException