XPlane

XPlane kelas akhir publik

 An XPlane is a container of parallel timelines (XLines), generated by a
 profiling source or by post-processing one or more XPlanes.
 Next ID: 7
Tipe protobuf tensorflow.profiler.XPlane

Kelas Bersarang

kelas XPlane.Builder 
 An XPlane is a container of parallel timelines (XLines), generated by a
 profiling source or by post-processing one or more XPlanes. 

Konstanta

ke dalam EVENT_METADATA_FIELD_NUMBER
ke dalam ID_FIELD_NUMBER
ke dalam LINES_FIELD_NUMBER
ke dalam NAME_FIELD_NUMBER
ke dalam STATS_FIELD_NUMBER
ke dalam STAT_METADATA_FIELD_NUMBER

Metode Publik

boolean
berisiEventMetadata (kunci panjang) 
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
boolean
berisiStatMetadata (kunci panjang) 
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
boolean
sama dengan (Objek objek)
XPlane statis
dapatkanDefaultInstance ()
pesawat xp
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
Peta<Panjang, XEventMetadata >
dapatkanEventMetadata ()
Gunakan getEventMetadataMap() sebagai gantinya.
ke dalam
dapatkanEventMetadataCount () 
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
Peta<Panjang, XEventMetadata >
dapatkanEventMetadataMap () 
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
XEventMetadata
getEventMetadataOrDefault (kunci panjang, XEventMetadata defaultValue) 
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
XEventMetadata
getEventMetadataOrThrow (kunci panjang) 
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
panjang
dapatkanId ()
int64 id = 1;
garis xline
getLines (indeks int) 
 Parallel timelines grouped in this plane.
ke dalam
dapatkanGarisHitung () 
 Parallel timelines grouped in this plane.
Daftar< XLine >
dapatkanDaftarGaris () 
 Parallel timelines grouped in this plane.
XLineOrBuilder
getLinesOrBuilder (indeks int) 
 Parallel timelines grouped in this plane.
Daftar<? memperluas XLineOrBuilder >
dapatkanLinesOrBuilderList () 
 Parallel timelines grouped in this plane.
Rangkaian
dapatkan Nama () 
 Name of this line.
com.google.protobuf.ByteString
dapatkanNamaBytes () 
 Name of this line.
dapatkanParserForType ()
ke dalam
dapatkanUkuranSerial ()
Peta<Panjang, XStatMetadata >
dapatkanStatMetadata ()
Gunakan getStatMetadataMap() sebagai gantinya.
ke dalam
dapatkanStatMetadataCount () 
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
Peta<Panjang, XStatMetadata >
dapatkanStatMetadataMap () 
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
XStatMetadata
getStatMetadataOrDefault (kunci panjang, XStatMetadata defaultValue) 
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
XStatMetadata
getStatMetadataOrThrow (kunci panjang) 
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
XStat
getStats (indeks int) 
 XStats associated with this plane, e.g.
ke dalam
dapatkanStatsCount () 
 XStats associated with this plane, e.g.
Daftar< XStat >
dapatkanStatsList () 
 XStats associated with this plane, e.g.
XStatOrBuilder
getStatsOrBuilder (indeks int) 
 XStats associated with this plane, e.g.
Daftar<? memperluas XStatOrBuilder >
dapatkanStatsOrBuilderList () 
 XStats associated with this plane, e.g.
final com.google.protobuf.UnknownFieldSet
dapatkan Bidang Tidak Dikenal ()
ke dalam
Kode hash ()
boolean terakhir
diinisialisasi ()
XPlane.Builder statis
Pembangun baru ()
XPlane.Builder statis
newBuilder (prototipe XPlane )
XPlane.Builder
newBuilderForType ()
XPlane statis
parseDelimitedFrom (masukan Aliran Masukan)
XPlane statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
XPlane statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
XPlane statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
XPlane statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
XPlane statis
parseFrom (data ByteBuffer)
XPlane statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
XPlane statis
parseFrom (com.google.protobuf.ByteString data)
XPlane statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
XPlane statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
pengurai ()
XPlane.Builder
untukPembangun ()
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int akhir statis publik EVENT_METADATA_FIELD_NUMBER

Nilai Konstan: 4

int akhir statis publik ID_FIELD_NUMBER

Nilai Konstan: 1

int akhir statis publik LINES_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik NAME_FIELD_NUMBER

Nilai Konstan: 2

int final statis publik STATS_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik STAT_METADATA_FIELD_NUMBER

Nilai Konstan: 5

Metode Publik

boolean publik berisiEventMetadata (kunci panjang) 

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

boolean publik berisiStatMetadata (kunci panjang) 

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

boolean publik sama (Obj objek)

XPlane statis publik getDefaultInstance ()

XPlane publik getDefaultInstanceForType ()

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

Peta publik<Panjang, XEventMetadata > getEventMetadata ()

Gunakan getEventMetadataMap() sebagai gantinya.

publik int getEventMetadataCount () 

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

Peta publik<Panjang, XEventMetadata > getEventMetadataMap () 

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

XEventMetadata publik getEventMetadataOrDefault (kunci panjang, XEventMetadata defaultValue) 

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

public XEventMetadata getEventMetadataOrThrow (kunci panjang) 

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

getId panjang publik ()

int64 id = 1;

getLines XLine publik (indeks int) 

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
repeated .tensorflow.profiler.XLine lines = 3;

int publik getLinesCount () 

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
repeated .tensorflow.profiler.XLine lines = 3;

Daftar publik< XLine > getLinesList () 

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
repeated .tensorflow.profiler.XLine lines = 3;

getLinesOrBuilder publik XLineOrBuilder (int indeks) 

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
repeated .tensorflow.profiler.XLine lines = 3;

Daftar Publik<? memperluas XLineOrBuilder > getLinesOrBuilderList () 

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
repeated .tensorflow.profiler.XLine lines = 3;

GetName String publik () 

 Name of this line.
string name = 2;

publik com.google.protobuf.ByteString getNameBytes () 

 Name of this line.
string name = 2;

publik dapatkanParserForType ()

publik int getSerializedSize ()

Peta publik<Panjang, XStatMetadata > getStatMetadata ()

Gunakan getStatMetadataMap() sebagai gantinya.

int publik getStatMetadataCount () 

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

Peta publik<Panjang, XStatMetadata > getStatMetadataMap () 

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

public XStatMetadata getStatMetadataOrDefault (kunci panjang, XStatMetadata defaultValue) 

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

public XStatMetadata getStatMetadataOrThrow (kunci panjang) 

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

getStats XStat publik (indeks int) 

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
repeated .tensorflow.profiler.XStat stats = 6;

publik int getStatsCount () 

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
repeated .tensorflow.profiler.XStat stats = 6;

Daftar publik< XStat > getStatsList () 

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
repeated .tensorflow.profiler.XStat stats = 6;

getStatsOrBuilder publik XStatOrBuilder (indeks int) 

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
repeated .tensorflow.profiler.XStat stats = 6;

Daftar Publik<? memperluas XStatOrBuilder > getStatsOrBuilderList () 

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
repeated .tensorflow.profiler.XStat stats = 6;

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

kode hash int publik ()

boolean akhir publik diinisialisasi ()

XPlane.Builder statis publik newBuilder ()

XPlane statis publik.Builder newBuilder (prototipe XPlane )

XPlane publik.Builder newBuilderForType ()

parseDelimitedFrom XPlane statis publik (input InputStream)

Melempar
Pengecualian IO

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

Melempar
Pengecualian IO

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

Melempar
InvalidProtocolBufferException

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

Melempar
Pengecualian IO

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

Melempar
InvalidProtocolBufferException

parseFrom XPlane statis publik (data ByteBuffer)

Melempar
InvalidProtocolBufferException

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

Melempar
Pengecualian IO

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

Melempar
InvalidProtocolBufferException

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

Melempar
Pengecualian IO

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

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

XPlane.Builder publik ke Builder ()

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

Melempar
Pengecualian IO