RunMetadata

מחלקה סופית ציבורית RunMetadata

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

כיתות מקוננות

מעמד RunMetadata.Builder
 Metadata output (i.e., non-Tensor) for a single Run() call. 
מעמד RunMetadata.FunctionGraphs סוג Protobuf tensorflow.RunMetadata.FunctionGraphs
מִמְשָׁק RunMetadata.FunctionGraphsOrBuilder

קבועים

int COST_GRAPH_FIELD_NUMBER
int FUNCTION_GRAPHS_FIELD_NUMBER
int PARTITION_GRAPHS_FIELD_NUMBER
int STEP_STATS_FIELD_NUMBER

שיטות ציבוריות

בוליאני
שווה (Object 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.
סטטי RunMetadata
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.
רשימה< RunMetadata.FunctionGraphs >
getFunctionGraphsList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (int index)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
רשימה<? מרחיב את 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.
רשימה< GraphDef >
getPartitionGraphsList ()
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (int index)
 Graphs of the partitions executed by executors.
רשימה<? מרחיב את 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 ()
בוליאני
hasCostGraph ()
 The cost graph for the computation defined by the run call.
בוליאני
hasStepStats ()
 Statistics traced for this step.
int
hashcode ()
בוליאנית סופית
isinitialized ()
סטטי RunMetadata.Builder
newBuilder (אב טיפוס RunMetadata )
סטטי RunMetadata.Builder
newBuilder ()
RunMetadata.Builder
newBuilderForType ()
סטטי RunMetadata
parseDelimitedFrom (קלט InputStream)
סטטי RunMetadata
parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי RunMetadata
parseFrom (נתוני ByteBuffer)
סטטי RunMetadata
parseFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי RunMetadata
parseFrom (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי RunMetadata
parseFrom (קלט com.google.protobuf.CodedInputStream)
סטטי RunMetadata
parseFrom (נתוני byte[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי RunMetadata
parseFrom (נתוני com.google.protobuf.ByteString)
סטטי RunMetadata
parseFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי RunMetadata
parseFrom (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטָטִי
מנתח ()
RunMetadata.Builder
toBuilder ()
בָּטֵל
writeTo (פלט com.google.protobuf.CodedOutputStream)

שיטות בירושה

קבועים

גמר סטטי ציבורי COST_GRAPH_FIELD_NUMBER

ערך קבוע: 2

אינט סופי סטטי ציבורי FUNCTION_GRAPHS_FIELD_NUMBER

ערך קבוע: 4

אינט סופי סטטי ציבורי PARTITION_GRAPHS_FIELD_NUMBER

ערך קבוע: 3

גמר סטטי ציבורי STEP_STATS_FIELD_NUMBER

ערך קבוע: 1

שיטות ציבוריות

שווה ערך בוליאני ציבורי (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;

ציבורי סטטי RunMetadata getDefaultInstance ()

public RunMetadata getDefaultInstanceForType ()

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

Public RunMetadata.FunctionGraphs getFunctionGraphs (אינדקס 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;

רשימה ציבורית< 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 (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;

רשימה ציבורית<? מרחיב את 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;

פּוּמְבֵּי 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;

רשימה ציבורית< 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;

רשימה ציבורית<? מרחיב את GraphDefOrBuilder > getPartitionGraphsOrBuilderList () 

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

public int getSerializedSize ()

StepStats ציבורי 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 ()

hasCostGraph בוליאני ציבורי () 

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

hasStepStats בוליאני ציבורי () 

 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 ()

בוליאני הסופי הציבורי הוא אתחול ()

סטטי ציבורי RunMetadata.Builder newBuilder (אב-טיפוס RunMetadata )

סטטי ציבורי RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (קלט InputStream)

זורק
IOException

Public static RunMetadata parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

ניתוח סטטי של RunMetadata parseFrom (נתוני ByteBuffer)

זורק
InvalidProtocolBufferException

Public static RunMetadata parseFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

Public static RunMetadata parseFrom (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

RUNMetadata parseFrom סטטי ציבורי (קלט com.google.protobuf.CodedInputStream)

זורק
IOException

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

זורק
InvalidProtocolBufferException

ParseFrom של RunMetadata סטטי ציבורי (נתוני com.google.protobuf.ByteString)

זורק
InvalidProtocolBufferException

Public static RunMetadata parseFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

נתוני RunMetadata parseFrom סטטיים ציבוריים (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

סטטי ציבורי מנתח ()

Public RunMetadata.Builder toBuilder ()

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

זורק
IOException