RunMetadata

パブリック最終クラスRunMetadata

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

ネストされたクラス

クラスメタデータビルダーの実行
 Metadata output (i.e., non-Tensor) for a single Run() call. 
クラスRunMetadata.FunctionGraphs Protobuf 型tensorflow.RunMetadata.FunctionGraphs
インタフェースRunMetadata.FunctionGraphsOrBuilder

定数

整数COST_GRAPH_FIELD_NUMBER
整数FUNCTION_GRAPHS_FIELD_NUMBER
整数PARTITION_GRAPHS_FIELD_NUMBER
整数STEP_STATS_FIELD_NUMBER

パブリックメソッド

ブール値
等しい(オブジェクトオブジェクト)
コストグラフ定義
getコストグラフ() 
 The cost graph for the computation defined by the run call.
コストグラフ定義またはビルダー
getCostGraphOrBuilder () 
 The cost graph for the computation defined by the run call.
静的なRunMetadata
getDefaultInstance ()
メタデータの実行
getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
RunMetadata.FunctionGraphs
getFunctionGraphs (int インデックス) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
整数
getFunctionGraphsCount () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
リスト< RunMetadata.FunctionGraphs >
getFunctionGraphsList () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (int インデックス) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
リスト<? RunMetadata.FunctionGraphsOrBuilderを拡張 >
getFunctionGraphsOrBuilderList () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
getParserForType ()
グラフ定義
getPartitionGraphs (int インデックス) 
 Graphs of the partitions executed by executors.
整数
getPartitionGraphsCount () 
 Graphs of the partitions executed by executors.
リスト< GraphDef >
getPartitionGraphsList () 
 Graphs of the partitions executed by executors.
グラフ定義またはビルダー
getPartitionGraphsOrBuilder (int インデックス) 
 Graphs of the partitions executed by executors.
リスト<? GraphDefOrBuilder を拡張 >
getPartitionGraphsOrBuilderList () 
 Graphs of the partitions executed by executors.
整数
getSerializedSize ()
ステップ統計
getStepStats () 
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder () 
 Statistics traced for this step.
最終的な com.google.protobuf.UnknownFieldSet
getUnknownFields ()
ブール値
hasCostGraph () 
 The cost graph for the computation defined by the run call.
ブール値
hasStepStats () 
 Statistics traced for this step.
整数
ハッシュコード()
最終ブール値
isInitialized ()
静的RunMetadata.Builder
newBuilder ( RunMetadataプロトタイプ)
静的RunMetadata.Builder
newBuilder ()
メタデータビルダーの実行
newBuilderForType ()
静的なRunMetadata
parseDelimitedFrom (InputStream 入力)
静的なRunMetadata
parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的なRunMetadata
parseFrom (ByteBuffer データ)
静的なRunMetadata
parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的なRunMetadata
parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的なRunMetadata
parseFrom (com.google.protobuf.CodedInputStream 入力)
静的なRunMetadata
parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的なRunMetadata
parseFrom (com.google.protobuf.ByteString データ)
静的なRunMetadata
parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的なRunMetadata
parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的
パーサー()
メタデータビルダーの実行
toビルダー()
空所
writeTo (com.google.protobuf.CodedOutputStream 出力)

継承されたメソッド

定数

パブリック静的最終整数COST_GRAPH_FIELD_NUMBER

定数値: 2

パブリック静的最終整数FUNCTION_GRAPHS_FIELD_NUMBER

定数値: 4

パブリック静的最終整数PARTITION_GRAPHS_FIELD_NUMBER

定数値: 3

パブリック静的最終整数STEP_STATS_FIELD_NUMBER

定数値: 1

パブリックメソッド

public booleanに等しい(オブジェクト 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 インデックス) 

 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 (int インデックス) 

 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;

公開リスト<? extends 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;

公共getParserForType ()

public GraphDef getPartitionGraphs (int インデックス) 

 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 インデックス) 

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

公開リスト<? extends 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 ()

パブリック最終ブール値isInitialized ()

public static RunMetadata.Builder newBuilder ( RunMetadataプロトタイプ)

public static RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (InputStream 入力)

投げる
IO例外

public static RunMetadata parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static RunMetadata parseFrom (ByteBuffer データ)

投げる
無効なプロトコルバッファ例外

public static RunMetadata parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static RunMetadata parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

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

投げる
IO例外

public static RunMetadata parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

public static RunMetadata parseFrom (com.google.protobuf.ByteString データ)

投げる
無効なプロトコルバッファ例外

public static RunMetadata parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static RunMetadata parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

パブリック静的パーサー()

public RunMetadata.Builder toBuilder ()

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

投げる
IO例外