RunMetadata.FunctionGraphs.Builder

kelas akhir statis publik RunMetadata.FunctionGraphs.Builder

Tipe protobuf tensorflow.RunMetadata.FunctionGraphs

Metode Publik

JalankanMetadata.FunctionGraphs.Builder	addAllPartitionGraphs (Nilai Iterable<? extends GraphDef >) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	addPartitionGraphs (indeks int, nilai GraphDef ) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	addPartitionGraphs ( GraphDef.Builder pembangunForValue) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	addPartitionGraphs (nilai GraphDef ) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	addPartitionGraphs (indeks int, GraphDef.Builder builderForValue) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDef.Builder	addPartitionGraphsBuilder (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDef.Builder	tambahkanPartitionGraphsBuilder () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
JalankanMetadata.FunctionGraphs	membangun ()
JalankanMetadata.FunctionGraphs	membangunPartial ()
JalankanMetadata.FunctionGraphs.Builder	jernih ()
JalankanMetadata.FunctionGraphs.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
JalankanMetadata.FunctionGraphs.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
JalankanMetadata.FunctionGraphs.Builder	hapusPartitionGraphs () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	clearPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
JalankanMetadata.FunctionGraphs.Builder	jelasPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
JalankanMetadata.FunctionGraphs.Builder	klon ()
JalankanMetadata.FunctionGraphs	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
GrafikDef	getPartitionGraphs (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDef.Builder	getPartitionGraphsBuilder (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Daftar< GraphDef.Builder >	getPartitionGraphsBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
ke dalam	dapatkanPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Daftar< GraphDef >	dapatkanPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDefOrBuilder	getPartitionGraphsOrBuilder (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Daftar<? memperluas GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GrafikDef	dapatkanPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
GraphDef.Builder	dapatkanPostOptimizationGraphBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
GraphDefOrBuilder	dapatkanPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
GrafikDef	dapatkanPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
GraphDef.Builder	dapatkanPreOptimizationGraphBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
GraphDefOrBuilder	dapatkanPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
boolean	hasPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
boolean	memilikiPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
boolean terakhir	diinisialisasi ()
JalankanMetadata.FunctionGraphs.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
JalankanMetadata.FunctionGraphs.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
JalankanMetadata.FunctionGraphs.Builder	mergePostOptimizationGraph (nilai GraphDef ) .tensorflow.GraphDef post_optimization_graph = 3;
JalankanMetadata.FunctionGraphs.Builder	mergePreOptimizationGraph (nilai GraphDef ) .tensorflow.GraphDef pre_optimization_graph = 2;
RunMetadata.FunctionGraphs.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
JalankanMetadata.FunctionGraphs.Builder	hapusPartitionGraphs (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
JalankanMetadata.FunctionGraphs.Builder	setPartitionGraphs (indeks int, GraphDef.Builder builderForValue) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	setPartitionGraphs (indeks int, nilai GraphDef ) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
JalankanMetadata.FunctionGraphs.Builder	setPostOptimizationGraph (nilai GraphDef ) .tensorflow.GraphDef post_optimization_graph = 3;
JalankanMetadata.FunctionGraphs.Builder	setPostOptimizationGraph ( GraphDef.Builder pembangunForValue) .tensorflow.GraphDef post_optimization_graph = 3;
JalankanMetadata.FunctionGraphs.Builder	setPreOptimizationGraph (nilai GraphDef ) .tensorflow.GraphDef pre_optimization_graph = 2;
JalankanMetadata.FunctionGraphs.Builder	setPreOptimizationGraph ( GraphDef.Builder pembangunForValue) .tensorflow.GraphDef pre_optimization_graph = 2;
JalankanMetadata.FunctionGraphs.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
RunMetadata.FunctionGraphs.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
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.RunMetadata.FunctionGraphsOrBuilder

abstrak GraphDef	getPartitionGraphs (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
abstrak ke dalam	dapatkanPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Daftar abstrak< GraphDef >	dapatkanPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
abstrak GraphDefOrBuilder	getPartitionGraphsOrBuilder (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Daftar abstrak<? memperluas GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
abstrak GraphDef	dapatkanPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
abstrak GraphDefOrBuilder	dapatkanPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
abstrak GraphDef	dapatkanPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
abstrak GraphDefOrBuilder	dapatkanPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
boolean abstrak	hasPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
boolean abstrak	memilikiPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;

Metode Publik

publik RunMetadata.FunctionGraphs.Builder addAllPartitionGraphs (Nilai Iterable<? extends GraphDef >)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder addPartitionGraphs publik (indeks int, nilai GraphDef )

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder addPartitionGraphs publik ( GraphDef.Builder builderForValue)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder addPartitionGraphs publik (nilai GraphDef )

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder addPartitionGraphs publik (int indeks, GraphDef.Builder builderForValue)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

publik GraphDef.Builder addPartitionGraphsBuilder (int indeks)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

publik GraphDef.Builder addPartitionGraphsBuilder ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

public RunMetadata.FunctionGraphs.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

build RunMetadata.FunctionGraphs publik ()

publik RunMetadata.FunctionGraphs buildPartial ()

publik RunMetadata.FunctionGraphs.Builder jelas ()

RunMetadata.FunctionGraphs.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

publik RunMetadata.FunctionGraphs.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

RunMetadata.FunctionGraphs.Builder publik clearPartitionGraphs ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

publik RunMetadata.FunctionGraphs.Builder clearPostOptimizationGraph ()

.tensorflow.GraphDef post_optimization_graph = 3;

RunMetadata.FunctionGraphs.Builder publik clearPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

klon RunMetadata.FunctionGraphs.Builder publik ()

RunMetadata.FunctionGraphs getDefaultInstanceForType () publik ()

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

com.google.protobuf.Descriptors.Descriptor publik getDescriptorForType ()

publik GraphDef getPartitionGraphs (int indeks)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

publik GraphDef.Builder getPartitionGraphsBuilder (int indeks)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

Daftar publik< GraphDef.Builder > getPartitionGraphsBuilderList ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

int publik getPartitionGraphsCount ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

Daftar publik< GraphDef > getPartitionGraphsList ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

publik GraphDefOrBuilder getPartitionGraphsOrBuilder (int indeks)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

Daftar Publik<? memperluas GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

GraphDef publik getPostOptimizationGraph ()

.tensorflow.GraphDef post_optimization_graph = 3;

publik GraphDef.Builder getPostOptimizationGraphBuilder ()

.tensorflow.GraphDef post_optimization_graph = 3;

publik GraphDefOrBuilder getPostOptimizationGraphOrBuilder ()

.tensorflow.GraphDef post_optimization_graph = 3;

GraphDef publik getPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

publik GraphDef.Builder getPreOptimizationGraphBuilder ()

.tensorflow.GraphDef pre_optimization_graph = 2;

publik GraphDefOrBuilder getPreOptimizationGraphOrBuilder ()

.tensorflow.GraphDef pre_optimization_graph = 2;

boolean publik hasPostOptimizationGraph ()

.tensorflow.GraphDef post_optimization_graph = 3;

boolean publik hasPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

boolean akhir publik diinisialisasi ()

RunMetadata.FunctionGraphs.Builder mergeFrom (com.google.protobuf.Message lainnya) publik

RunMetadata.FunctionGraphs.Builder mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

RunMetadata.FunctionGraphs.Builder mergePostOptimizationGraph publik (nilai GraphDef )

.tensorflow.GraphDef post_optimization_graph = 3;

RunMetadata.FunctionGraphs.Builder mergePreOptimizationGraph publik (nilai GraphDef )

.tensorflow.GraphDef pre_optimization_graph = 2;

public final RunMetadata.FunctionGraphs.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

RunMetadata.FunctionGraphs.Builder publik deletePartitionGraphs (int indeks)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

public RunMetadata.FunctionGraphs.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

RunMetadata.FunctionGraphs.Builder setPartitionGraphs publik (int indeks, GraphDef.Builder builderForValue)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder setPartitionGraphs publik (indeks int, nilai GraphDef )

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

RunMetadata.FunctionGraphs.Builder setPostOptimizationGraph publik (nilai GraphDef )

.tensorflow.GraphDef post_optimization_graph = 3;

RunMetadata.FunctionGraphs.Builder setPostOptimizationGraph publik ( GraphDef.Builder builderForValue)

.tensorflow.GraphDef post_optimization_graph = 3;

RunMetadata.FunctionGraphs.Builder setPreOptimizationGraph publik (nilai GraphDef )

.tensorflow.GraphDef pre_optimization_graph = 2;

RunMetadata.FunctionGraphs.Builder setPreOptimizationGraph publik ( GraphDef.Builder builderForValue)

.tensorflow.GraphDef pre_optimization_graph = 2;

public RunMetadata.FunctionGraphs.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

public final RunMetadata.FunctionGraphs.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)