RunMetadata.FunctionGraphs

kelas akhir statis publik RunMetadata.FunctionGraphs

Tipe protobuf tensorflow.RunMetadata.FunctionGraphs

Kelas Bersarang

kelas

JalankanMetadata.FunctionGraphs.Builder

Tipe protobuf tensorflow.RunMetadata.FunctionGraphs

Konstanta

ke dalam	PARTITION_GRAPHS_FIELD_NUMBER
ke dalam	POST_OPTIMIZATION_GRAPH_FIELD_NUMBER
ke dalam	PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Metode Publik

boolean	sama dengan (Objek objek)
RunMetadata.FunctionGraphs statis	dapatkanDefaultInstance ()
JalankanMetadata.FunctionGraphs	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
	dapatkanParserForType ()
GrafikDef	getPartitionGraphs (indeks int) 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;
GraphDefOrBuilder	dapatkanPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
GrafikDef	dapatkanPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
GraphDefOrBuilder	dapatkanPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
ke dalam	dapatkanUkuranSerial ()
final com.google.protobuf.UnknownFieldSet	dapatkan Bidang Tidak Dikenal ()
boolean	hasPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
boolean	memilikiPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
ke dalam	Kode hash ()
boolean terakhir	diinisialisasi ()
RunMetadata.FunctionGraphs.Builder statis	newBuilder (prototipe RunMetadata.FunctionGraphs )
RunMetadata.FunctionGraphs.Builder statis	Pembangun baru ()
JalankanMetadata.FunctionGraphs.Builder	newBuilderForType ()
RunMetadata.FunctionGraphs statis	parseDelimitedFrom (masukan Aliran Masukan)
RunMetadata.FunctionGraphs statis	parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs statis	parseFrom (data ByteBuffer)
RunMetadata.FunctionGraphs statis	parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs statis	parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs statis	parseFrom (com.google.protobuf.CodedInputStream masukan)
RunMetadata.FunctionGraphs statis	parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs statis	parseFrom (com.google.protobuf.ByteString data)
RunMetadata.FunctionGraphs statis	parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs statis	parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis	pengurai ()
JalankanMetadata.FunctionGraphs.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.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;

Konstanta

int final statis publik PARTITION_GRAPHS_FIELD_NUMBER

Nilai Konstan: 1

int final statis publik POST_OPTIMIZATION_GRAPH_FIELD_NUMBER

Nilai Konstan: 3

int final statis publik PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Nilai Konstan: 2

Metode Publik

boolean publik sama (Obj objek)

RunMetadata.FunctionGraphs statis publik getDefaultInstance ()

RunMetadata.FunctionGraphs getDefaultInstanceForType () publik ()

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

publik dapatkanParserForType ()

publik GraphDef getPartitionGraphs (int indeks)

 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 GraphDefOrBuilder getPostOptimizationGraphOrBuilder ()

.tensorflow.GraphDef post_optimization_graph = 3;

GraphDef publik getPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

publik GraphDefOrBuilder getPreOptimizationGraphOrBuilder ()

.tensorflow.GraphDef pre_optimization_graph = 2;

publik int getSerializedSize ()

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean publik hasPostOptimizationGraph ()

.tensorflow.GraphDef post_optimization_graph = 3;

boolean publik hasPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

RunMetadata.FunctionGraphs.Builder newBuilder statis publik (prototipe RunMetadata.FunctionGraphs )

RunMetadata.FunctionGraphs.Builder newBuilder () statis publik

publik RunMetadata.FunctionGraphs.Builder newBuilderForType ()

RunMetadata.FunctionGraphs statis publik parseDelimitedFrom (input InputStream)

Melempar

Pengecualian IO

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

Melempar

Pengecualian IO

RunMetadata.FunctionGraphs parseFrom statis publik (data ByteBuffer)

Melempar

ProtokolBufferException Tidak Valid

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

Melempar

Pengecualian IO

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

Melempar

ProtokolBufferException Tidak Valid

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

Melempar

Pengecualian IO

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

Melempar

ProtokolBufferException Tidak Valid

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

Melempar

ProtokolBufferException Tidak Valid

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

Melempar

Pengecualian IO

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

Melempar

ProtokolBufferException Tidak Valid

statis publik pengurai ()

publik RunMetadata.FunctionGraphs.Builder toBuilder ()

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

Melempar

Pengecualian IO