RunMetadata

공개 최종 클래스 RunMetadata

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

중첩 클래스

수업 RunMetadata.Builder 
 Metadata output (i.e., non-Tensor) for a single Run() call. 
수업 RunMetadata.FunctionGraphs Protobuf 유형 tensorflow.RunMetadata.FunctionGraphs
인터페이스 RunMetadata.FunctionGraphsOrBuilder

상수

정수 COST_GRAPH_FIELD_NUMBER
정수 FUNCTION_GRAPHS_FIELD_NUMBER
정수 PARTITION_GRAPHS_FIELD_NUMBER
정수 STEP_STATS_FIELD_NUMBER

공개 방법

부울
같음 (객체 객체)
비용 그래프 정의
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.
정적 RunMetadata
getDefaultInstance ()
메타데이터 실행
getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
RunMetadata.FunctionGraphs
getFunctionGraphs (정수 인덱스) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
정수
getFunctionGraphsCount () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
목록< RunMetadata.FunctionGraphs >
getFunctionGraphsList () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (정수 인덱스) 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
목록<? RunMetadata.FunctionGraphsOrBuilder 확장 >
getFunctionGraphsOrBuilderList () 
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
getParserForType ()
그래프 정의
getPartitionGraphs (정수 인덱스) 
 Graphs of the partitions executed by executors.
정수
getPartitionGraphsCount () 
 Graphs of the partitions executed by executors.
목록< GraphDef >
getPartitionGraphsList () 
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (정수 인덱스) 
 Graphs of the partitions executed by executors.
목록<? GraphDefOrBuilder 확장 >
getPartitionGraphsOrBuilderList () 
 Graphs of the partitions executed by executors.
정수
getSerializedSize ()
단계 통계
getStepStats () 
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder () 
 Statistics traced for this step.
최종 com.google.protobuf.UnknownFieldSet
getUnknownFields ()
부울
hasCost그래프 () 
 The cost graph for the computation defined by the run call.
부울
hasStepStats () 
 Statistics traced for this step.
정수
해시코드 ()
최종 부울
초기화됨 ()
정적 RunMetadata.Builder
newBuilder ( RunMetadata 프로토타입)
정적 RunMetadata.Builder
새로운 빌더 ()
RunMetadata.Builder
newBuilderForType ()
정적 RunMetadata
parsDelimitedFrom (InputStream 입력)
정적 RunMetadata
parseDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RunMetadata
parsFrom (ByteBuffer 데이터)
정적 RunMetadata
ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RunMetadata
ParseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RunMetadata
ParseFrom (com.google.protobuf.CodedInputStream 입력)
정적 RunMetadata
parseFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)
정적 RunMetadata
ParseFrom (com.google.protobuf.ByteString 데이터)
정적 RunMetadata
ParseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 RunMetadata
ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
공전
파서 ()
RunMetadata.Builder
toBuilder ()
무효의
writeTo (com.google.protobuf.CodedOutputStream 출력)

상속된 메서드

상수

공개 정적 최종 int COST_GRAPH_FIELD_NUMBER

상수값: 2

공개 정적 최종 int FUNCTION_GRAPHS_FIELD_NUMBER

상수값: 4

공개 정적 최종 int PARTITION_GRAPHS_FIELD_NUMBER

상수값: 3

공개 정적 최종 int STEP_STATS_FIELD_NUMBER

상수값: 1

공개 방법

공개 부울은 (객체 obj) 와 같습니다 .

공개 CostGraphDef getCostGraph () 

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

공개 CostGraphDefOrBuilder getCostGraphOrBuilder () 

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

공개 정적 RunMetadata getDefaultInstance ()

공개 RunMetadata getDefaultInstanceForType ()

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

공개 RunMetadata.FunctionGraphs getFunctionGraphs (int 인덱스) 

 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;

공개 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;

공개 목록< 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;

공개 RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int 인덱스) 

 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;

공개 목록<? RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList ()를 확장합니다. 

 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;

공공의 getParserForType ()

공개 GraphDef getPartitionGraphs (int 인덱스) 

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

공개 int getPartitionGraphsCount () 

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

공개 목록< GraphDef > getPartitionGraphsList () 

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

공개 GraphDefOrBuilder getPartitionGraphsOrBuilder (int 인덱스) 

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

공개 목록<? GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()를 확장합니다. 

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

공개 int getSerializedSize ()

공개 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;

공개 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;

공개 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()

공개 부울 hasCostGraph () 

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

공개 부울 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;

공개 int hashCode ()

공개 최종 부울 isInitialized ()

공개 정적 RunMetadata.Builder newBuilder ( RunMetadata 프로토타입)

공개 정적 RunMetadata.Builder newBuilder ()

공개 RunMetadata.Builder newBuilderForType ()

공개 정적 RunMetadata ParseDelimitedFrom (InputStream 입력)

던지기
IO예외

공개 정적 RunMetadataparseDelimitedFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 정적 RunMetadata 구문 분석 (ByteBuffer 데이터)

던지기
잘못된프로토콜버퍼예외

공개 정적 RunMetadata ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 정적 RunMetadata 구문 분석 (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
잘못된프로토콜버퍼예외

공개 정적 RunMetadata 구문 분석 (com.google.protobuf.CodedInputStream 입력)

던지기
IO예외

공개 정적 RunMetadata 구문 분석 (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장 레지스트리)

던지기
잘못된프로토콜버퍼예외

공개 정적 RunMetadata 구문 분석 (com.google.protobuf.ByteString 데이터)

던지기
잘못된프로토콜버퍼예외

공개 정적 RunMetadata 구문 분석 (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 정적 RunMetadata ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
잘못된프로토콜버퍼예외

공개 정적 파서 ()

공개 RunMetadata.Builder toBuilder ()

공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)

던지기
IO예외