RunMetadata

RunMetadata kelas akhir publik

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

Tipe protobuf tensorflow.RunMetadata

Kelas Bersarang

kelas	Jalankan Metadata.Builder		Metadata output (i.e., non-Tensor) for a single Run() call.
kelas	JalankanMetadata.FunctionGraphs		Tipe protobuf tensorflow.RunMetadata.FunctionGraphs
antarmuka	JalankanMetadata.FunctionGraphsOrBuilder

Konstanta

ke dalam	COST_GRAPH_FIELD_NUMBER
ke dalam	FUNCTION_GRAPHS_FIELD_NUMBER
ke dalam	PARTITION_GRAPHS_FIELD_NUMBER
ke dalam	STEP_STATS_FIELD_NUMBER

Metode Publik

boolean	sama dengan (Objek objek)
BiayaGraphDef	dapatkanCostGraph () The cost graph for the computation defined by the run call.
CostGraphDefOrBuilder	dapatkanCostGraphOrBuilder () The cost graph for the computation defined by the run call.
RunMetadata statis	dapatkanDefaultInstance ()
Jalankan Metadata	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
JalankanMetadata.FunctionGraphs	getFunctionGraphs (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2.
ke dalam	dapatkanFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Daftar< JalankanMetadata.FunctionGraphs >	dapatkanFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
JalankanMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2.
Daftar<? memperluas RunMetadata.FunctionGraphsOrBuilder >	dapatkanFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
	dapatkanParserForType ()
GrafikDef	getPartitionGraphs (indeks int) Graphs of the partitions executed by executors.
ke dalam	dapatkanPartitionGraphsCount () Graphs of the partitions executed by executors.
Daftar< GraphDef >	dapatkanPartitionGraphsList () Graphs of the partitions executed by executors.
GraphDefOrBuilder	getPartitionGraphsOrBuilder (indeks int) Graphs of the partitions executed by executors.
Daftar<? memperluas GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
ke dalam	dapatkanUkuranSerial ()
Statistik Langkah	dapatkanStepStats () Statistics traced for this step.
StepStatsOrBuilder	dapatkanStepStatsOrBuilder () Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet	dapatkan Bidang Tidak Dikenal ()
boolean	hasCostGraph () The cost graph for the computation defined by the run call.
boolean	hasStepStats () Statistics traced for this step.
ke dalam	Kode hash ()
boolean terakhir	diinisialisasi ()
RunMetadata.Builder statis	newBuilder (prototipe RunMetadata )
RunMetadata.Builder statis	Pembangun baru ()
Jalankan Metadata.Builder	newBuilderForType ()
RunMetadata statis	parseDelimitedFrom (masukan Aliran Masukan)
RunMetadata statis	parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statis	parseFrom (data ByteBuffer)
RunMetadata statis	parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statis	parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statis	parseFrom (com.google.protobuf.CodedInputStream masukan)
RunMetadata statis	parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statis	parseFrom (com.google.protobuf.ByteString data)
RunMetadata statis	parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata statis	parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis	pengurai ()
Jalankan Metadata.Builder	untukPembangun ()
ruang kosong	writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	beri tahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.RunMetadataOrBuilder

abstrak CostGraphDef	dapatkanCostGraph () The cost graph for the computation defined by the run call.
abstrak CostGraphDefOrBuilder	dapatkanCostGraphOrBuilder () The cost graph for the computation defined by the run call.
abstrak RunMetadata.FunctionGraphs	getFunctionGraphs (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2.
abstrak ke dalam	dapatkanFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Daftar abstrak< RunMetadata.FunctionGraphs >	dapatkanFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
abstrak RunMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2.
Daftar abstrak<? memperluas RunMetadata.FunctionGraphsOrBuilder >	dapatkanFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
abstrak GraphDef	getPartitionGraphs (indeks int) Graphs of the partitions executed by executors.
abstrak ke dalam	dapatkanPartitionGraphsCount () Graphs of the partitions executed by executors.
Daftar abstrak< GraphDef >	dapatkanPartitionGraphsList () Graphs of the partitions executed by executors.
abstrak GraphDefOrBuilder	getPartitionGraphsOrBuilder (indeks int) Graphs of the partitions executed by executors.
Daftar abstrak<? memperluas GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
StepStats abstrak	dapatkanStepStats () Statistics traced for this step.
abstrak StepStatsOrBuilder	dapatkanStepStatsOrBuilder () Statistics traced for this step.
boolean abstrak	hasCostGraph () The cost graph for the computation defined by the run call.
boolean abstrak	hasStepStats () Statistics traced for this step.

Konstanta

int akhir statis publik COST_GRAPH_FIELD_NUMBER

Nilai Konstan: 2

int final statis publik FUNCTION_GRAPHS_FIELD_NUMBER

Nilai Konstan: 4

int final statis publik PARTITION_GRAPHS_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik STEP_STATS_FIELD_NUMBER

Nilai Konstan: 1

Metode Publik

boolean publik sama (Obj objek)

CostGraphDef publik getCostGraph ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

publik CostGraphDefOrBuilder getCostGraphOrBuilder ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

RunMetadata statis publik getDefaultInstance ()

RunMetadata publik getDefaultInstanceForType ()

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

RunMetadata.FunctionGraphs publik getFunctionGraphs (indeks 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;

int publik 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;

Daftar publik< 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;

publik RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int indeks)

 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;

Daftar Publik<? memperluas 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;

publik dapatkanParserForType ()

publik GraphDef getPartitionGraphs (int indeks)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

int publik getPartitionGraphsCount ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Daftar publik< GraphDef > getPartitionGraphsList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

publik GraphDefOrBuilder getPartitionGraphsOrBuilder (int indeks)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Daftar Publik<? memperluas GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

publik int getSerializedSize ()

StepStats publik 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;

StepStatsOrBuilder publik 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 ()

boolean publik hasCostGraph ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

boolean publik 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;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

RunMetadata statis publik.Builder newBuilder (prototipe RunMetadata )

RunMetadata.Builder statis publik newBuilder ()

publik RunMetadata.Builder newBuilderForType ()

parseDelimitedFrom RunMetadata statis publik (input InputStream)

Melempar

Pengecualian IO

parseDelimitedFrom RunMetadata statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RunMetadata statis publik (data ByteBuffer)

Melempar

InvalidProtocolBufferException

parseFrom RunMetadata statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RunMetadata statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom RunMetadata statis publik (com.google.protobuf.CodedInputStream input)

Melempar

Pengecualian IO

parseFrom RunMetadata statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom RunMetadata statis publik (com.google.protobuf.ByteString data)

Melempar

InvalidProtocolBufferException

parseFrom RunMetadata statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom RunMetadata statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

statis publik pengurai ()

RunMetadata.Builder toBuilder publik ()

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

Melempar

Pengecualian IO