NodeExecStats.Builder

kelas akhir statis publik NodeExecStats.Builder

 Time/size stats recorded for a single execution of a graph node.
 

Protobuf mengetik tensorflow.NodeExecStats

Metode Publik

NodeExecStats.Builder	addAllMemory (Nilai Iterable<? extends AllocatorMemoryUsed >) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	addAllOutput (Nilai Iterable<? extends NodeOutput >) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	addAllReferencedTensor (Nilai Iterable<? extends AllocationDescription >) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	addMemory (indeks int, AllocatorMemoryUsed.Builder builderForValue) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	addMemory ( Nilai AllocatorMemoryUsed ) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	addMemory ( AllocatorMemoryUsed.Builder builderForValue) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	addMemory (indeks int, nilai AllocatorMemoryUsed ) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsed.Builder	addMemoryBuilder (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsed.Builder	tambahkanMemoryBuilder () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	addOutput (indeks int, NodeOutput.Builder builderForValue) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	addOutput ( NodeOutput.Builder pembangunForValue) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	addOutput (indeks int, nilai NodeOutput ) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	addOutput (nilai NodeOutput ) repeated .tensorflow.NodeOutput output = 7;
NodeOutput.Builder	tambahkanOutputBuilder () repeated .tensorflow.NodeOutput output = 7;
NodeOutput.Builder	addOutputBuilder (indeks int) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	addReferencedTensor (indeks int, nilai AllocationDescription ) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	addReferencedTensor ( AllocationDescription.Builder builderForValue) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	addReferencedTensor (nilai AllocationDescription ) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	addReferencedTensor (indeks int, AllocationDescription.Builder builderForValue) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescription.Builder	addReferencedTensorBuilder () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescription.Builder	addReferencedTensorBuilder (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
NodeExecStats	membangun ()
NodeExecStats	membangunPartial ()
NodeExecStats.Builder	jernih ()
NodeExecStats.Builder	hapusSemuaEndRelMicros () int64 all_end_rel_micros = 5;
NodeExecStats.Builder	hapusSemuaEndRelNanos () int64 all_end_rel_nanos = 16;
NodeExecStats.Builder	hapusAllStartMicros () int64 all_start_micros = 2;
NodeExecStats.Builder	hapusSemuaMulaiNanos () int64 all_start_nanos = 13;
NodeExecStats.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
NodeExecStats.Builder	ingatan yang jelas () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	jelasMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
NodeExecStats.Builder	hapusNamaNode () TODO(tucker): Use some more compact form of node identity than the full string name.
NodeExecStats.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu)
NodeExecStats.Builder	hapusOpEndRelMicros () int64 op_end_rel_micros = 4;
NodeExecStats.Builder	hapusOpEndRelNanos () int64 op_end_rel_nanos = 15;
NodeExecStats.Builder	hapusOpStartRelMicros () int64 op_start_rel_micros = 3;
NodeExecStats.Builder	hapusOpStartRelNanos () int64 op_start_rel_nanos = 14;
NodeExecStats.Builder	keluaran yang jelas () repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	jelasReferensi Tensor () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	jelasScheduledMicros () int64 scheduled_micros = 9;
NodeExecStats.Builder	hapusNano Terjadwal () int64 scheduled_nanos = 17;
NodeExecStats.Builder	hapusThreadId () uint32 thread_id = 10;
NodeExecStats.Builder	jelasTimelineLabel () string timeline_label = 8;
NodeExecStats.Builder	klon ()
panjang	dapatkanAllEndRelMicros () int64 all_end_rel_micros = 5;
panjang	dapatkanAllEndRelNanos () int64 all_end_rel_nanos = 16;
panjang	dapatkanAllStartMicros () int64 all_start_micros = 2;
panjang	dapatkanAllStartNanos () int64 all_start_nanos = 13;
NodeExecStats	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
Memori Pengalokasi Digunakan	getMemory (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsed.Builder	getMemoryBuilder (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Daftar< AllocatorMemoryUsed.Builder >	dapatkanMemoryBuilderList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
ke dalam	dapatkan Jumlah Memori () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Daftar< AllocatorMemoryUsed >	dapatkanDaftarMemori () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsedOrBuilder	getMemoryOrBuilder (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Daftar<? memperluas AllocatorMemoryUsedOrBuilder >	dapatkanMemoryOrBuilderList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Statistik Memori	dapatkanMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
MemoryStats.Pembangun	dapatkanMemoryStatsBuilder () .tensorflow.MemoryStats memory_stats = 12;
MemoryStatsOrBuilder	dapatkanMemoryStatsOrBuilder () .tensorflow.MemoryStats memory_stats = 12;
Rangkaian	dapatkanNamaNode () TODO(tucker): Use some more compact form of node identity than the full string name.
com.google.protobuf.ByteString	dapatkanNodeNameBytes () TODO(tucker): Use some more compact form of node identity than the full string name.
panjang	dapatkanOpEndRelMicros () int64 op_end_rel_micros = 4;
panjang	dapatkanOpEndRelNanos () int64 op_end_rel_nanos = 15;
panjang	dapatkanOpStartRelMicros () int64 op_start_rel_micros = 3;
panjang	dapatkanOpStartRelNanos () int64 op_start_rel_nanos = 14;
Keluaran Node	getOutput (indeks int) repeated .tensorflow.NodeOutput output = 7;
NodeOutput.Builder	getOutputBuilder (indeks int) repeated .tensorflow.NodeOutput output = 7;
Daftar< NodeOutput.Builder >	dapatkanOutputBuilderList () repeated .tensorflow.NodeOutput output = 7;
ke dalam	dapatkanOutputCount () repeated .tensorflow.NodeOutput output = 7;
Daftar< NodeOutput >	dapatkanDaftar Keluaran () repeated .tensorflow.NodeOutput output = 7;
NodeOutputOrBuilder	getOutputOrBuilder (indeks int) repeated .tensorflow.NodeOutput output = 7;
Daftar<? memperluas NodeOutputOrBuilder >	dapatkanOutputOrBuilderList () repeated .tensorflow.NodeOutput output = 7;
Deskripsi Alokasi	getReferencedTensor (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescription.Builder	getReferencedTensorBuilder (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Daftar< AllocationDescription.Builder >	dapatkanReferencedTensorBuilderList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
ke dalam	dapatkanReferencedTensorCount () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Daftar< AllocationDescription >	dapatkanReferencedTensorList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AlocationDescriptionOrBuilder	getReferencedTensorOrBuilder (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Daftar<? memperluas AllocationDescriptionOrBuilder >	dapatkanReferencedTensorOrBuilderList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
panjang	dapatkanScheduledMicros () int64 scheduled_micros = 9;
panjang	dapatkanNano Terjadwal () int64 scheduled_nanos = 17;
ke dalam	dapatkan ThreadId () uint32 thread_id = 10;
Rangkaian	dapatkan TimelineLabel () string timeline_label = 8;
com.google.protobuf.ByteString	dapatkan TimelineLabelBytes () string timeline_label = 8;
boolean	hasMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
boolean terakhir	diinisialisasi ()
NodeExecStats.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
NodeExecStats.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats.Builder	mergeMemoryStats ( nilai MemoryStats ) .tensorflow.MemoryStats memory_stats = 12;
NodeExecStats.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
NodeExecStats.Builder	hapusMemory (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	hapusOutput (indeks int) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	hapusReferencedTensor (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	setAllEndRelMicros (nilai panjang) int64 all_end_rel_micros = 5;
NodeExecStats.Builder	setAllEndRelNanos (nilai panjang) int64 all_end_rel_nanos = 16;
NodeExecStats.Builder	setAllStartMicros (nilai panjang) int64 all_start_micros = 2;
NodeExecStats.Builder	setAllStartNanos (nilai panjang) int64 all_start_nanos = 13;
NodeExecStats.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
NodeExecStats.Builder	setMemory (indeks int, AllocatorMemoryUsed.Builder builderForValue) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	setMemory (indeks int, nilai AllocatorMemoryUsed ) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
NodeExecStats.Builder	setMemoryStats ( MemoryStats.Pembuat pembangunForValue) .tensorflow.MemoryStats memory_stats = 12;
NodeExecStats.Builder	setMemoryStats ( nilai MemoryStats ) .tensorflow.MemoryStats memory_stats = 12;
NodeExecStats.Builder	setNodeName (Nilai string) TODO(tucker): Use some more compact form of node identity than the full string name.
NodeExecStats.Builder	setNodeNameBytes (nilai com.google.protobuf.ByteString) TODO(tucker): Use some more compact form of node identity than the full string name.
NodeExecStats.Builder	setOpEndRelMicros (nilai panjang) int64 op_end_rel_micros = 4;
NodeExecStats.Builder	setOpEndRelNanos (nilai panjang) int64 op_end_rel_nanos = 15;
NodeExecStats.Builder	setOpStartRelMicros (nilai panjang) int64 op_start_rel_micros = 3;
NodeExecStats.Builder	setOpStartRelNanos (nilai panjang) int64 op_start_rel_nanos = 14;
NodeExecStats.Builder	setOutput (indeks int, NodeOutput.Builder builderForValue) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	setOutput (indeks int, nilai NodeOutput ) repeated .tensorflow.NodeOutput output = 7;
NodeExecStats.Builder	setReferencedTensor (indeks int, nilai AllocationDescription ) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	setReferencedTensor (indeks int, AllocationDescription.Builder builderForValue) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
NodeExecStats.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
NodeExecStats.Builder	setScheduledMicros (nilai panjang) int64 scheduled_micros = 9;
NodeExecStats.Builder	setScheduledNanos (nilai panjang) int64 scheduled_nanos = 17;
NodeExecStats.Builder	setThreadId (nilai int) uint32 thread_id = 10;
NodeExecStats.Builder	setTimelineLabel (Nilai string) string timeline_label = 8;
NodeExecStats.Builder	setTimelineLabelBytes (nilai com.google.protobuf.ByteString) string timeline_label = 8;
NodeExecStats.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.NodeExecStatsOrBuilder

abstrak panjang	dapatkanAllEndRelMicros () int64 all_end_rel_micros = 5;
abstrak panjang	dapatkanAllEndRelNanos () int64 all_end_rel_nanos = 16;
abstrak panjang	dapatkanAllStartMicros () int64 all_start_micros = 2;
abstrak panjang	dapatkanAllStartNanos () int64 all_start_nanos = 13;
abstrak AllocatorMemoryDigunakan	getMemory (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
abstrak ke dalam	dapatkan Jumlah Memori () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Daftar abstrak< AllocatorMemoryUsed >	dapatkanDaftarMemori () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
abstrak AllocatorMemoryUsedOrBuilder	getMemoryOrBuilder (indeks int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Daftar abstrak<? memperluas AllocatorMemoryUsedOrBuilder >	dapatkanMemoryOrBuilderList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
MemoryStats abstrak	dapatkanMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
abstrak MemoryStatsOrBuilder	dapatkanMemoryStatsOrBuilder () .tensorflow.MemoryStats memory_stats = 12;
Tali abstrak	dapatkanNamaNode () TODO(tucker): Use some more compact form of node identity than the full string name.
abstrak com.google.protobuf.ByteString	dapatkanNodeNameBytes () TODO(tucker): Use some more compact form of node identity than the full string name.
abstrak panjang	dapatkanOpEndRelMicros () int64 op_end_rel_micros = 4;
abstrak panjang	dapatkanOpEndRelNanos () int64 op_end_rel_nanos = 15;
abstrak panjang	dapatkanOpStartRelMicros () int64 op_start_rel_micros = 3;
abstrak panjang	dapatkanOpStartRelNanos () int64 op_start_rel_nanos = 14;
NodeOutput abstrak	getOutput (indeks int) repeated .tensorflow.NodeOutput output = 7;
abstrak ke dalam	dapatkanOutputCount () repeated .tensorflow.NodeOutput output = 7;
Daftar abstrak< NodeOutput >	dapatkanDaftar Keluaran () repeated .tensorflow.NodeOutput output = 7;
abstrak NodeOutputOrBuilder	getOutputOrBuilder (indeks int) repeated .tensorflow.NodeOutput output = 7;
Daftar abstrak<? memperluas NodeOutputOrBuilder >	dapatkanOutputOrBuilderList () repeated .tensorflow.NodeOutput output = 7;
Deskripsi Alokasi abstrak	getReferencedTensor (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrak ke dalam	dapatkanReferencedTensorCount () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Daftar abstrak< AllocationDescription >	dapatkanReferencedTensorList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrak AlocationDescriptionOrBuilder	getReferencedTensorOrBuilder (indeks int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Daftar abstrak<? memperluas AllocationDescriptionOrBuilder >	dapatkanReferencedTensorOrBuilderList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrak panjang	dapatkanScheduledMicros () int64 scheduled_micros = 9;
abstrak panjang	dapatkanNano Terjadwal () int64 scheduled_nanos = 17;
abstrak ke dalam	dapatkan ThreadId () uint32 thread_id = 10;
Tali abstrak	dapatkan TimelineLabel () string timeline_label = 8;
abstrak com.google.protobuf.ByteString	dapatkan TimelineLabelBytes () string timeline_label = 8;
boolean abstrak	hasMemoryStats () .tensorflow.MemoryStats memory_stats = 12;

Metode Publik

public NodeExecStats.Builder addAllMemory (Nilai Iterable<? extends AllocatorMemoryUsed >)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

public NodeExecStats.Builder addAllOutput (Nilai Iterable<? extends NodeOutput >)

repeated .tensorflow.NodeOutput output = 7;

public NodeExecStats.Builder addAllReferencedTensor (Nilai Iterable<? extends AllocationDescription >)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder addMemory publik (indeks int, AllocatorMemoryUsed.Builder builderForValue)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder addMemory publik (nilai AllocatorMemoryUsed )

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder addMemory publik ( AllocatorMemoryUsed.Builder builderForValue)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

publik NodeExecStats.Builder addMemory (indeks int, nilai AllocatorMemoryUsed )

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

AllocatorMemoryUsed.Builder addMemoryBuilder publik (indeks int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

AllocatorMemoryUsed.Builder publik addMemoryBuilder ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder addOutput publik (indeks int, NodeOutput.Builder buildForValue)

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder addOutput publik ( NodeOutput.Builder builderForValue)

repeated .tensorflow.NodeOutput output = 7;

publik NodeExecStats.Builder addOutput (indeks int, nilai NodeOutput )

repeated .tensorflow.NodeOutput output = 7;

publik NodeExecStats.Builder addOutput (nilai NodeOutput )

repeated .tensorflow.NodeOutput output = 7;

NodeOutput.Builder publik addOutputBuilder ()

repeated .tensorflow.NodeOutput output = 7;

NodeOutput.Builder publik addOutputBuilder (indeks int)

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder addReferencedTensor publik (indeks int, nilai AllocationDescription )

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder addReferencedTensor publik ( AllocationDescription.Builder builderForValue)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder addReferencedTensor publik (nilai AllocationDescription )

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder addReferencedTensor publik (indeks int, AllocationDescription.Builder builderForValue)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public AllocationDescription.Builder addReferencedTensorBuilder ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public AllocationDescription.Builder addReferencedTensorBuilder (indeks int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

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

build NodeExecStats publik ()

buildPartial NodeExecStats publik ()

NodeExecStats.Builder publik jelas ()

NodeExecStats.Builder publik clearAllEndRelMicros ()

int64 all_end_rel_micros = 5;

NodeExecStats.Builder publik clearAllEndRelNanos ()

int64 all_end_rel_nanos = 16;

NodeExecStats.Builder publik clearAllStartMicros ()

int64 all_start_micros = 2;

NodeExecStats.Builder publik clearAllStartNanos ()

int64 all_start_nanos = 13;

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

NodeExecStats.Builder publik clearMemory ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder publik clearMemoryStats ()

.tensorflow.MemoryStats memory_stats = 12;

NodeExecStats.Builder publik clearNodeName ()

 TODO(tucker): Use some more compact form of node identity than
 the full string name.  Either all processes should agree on a
 global id (cost_id?) for each node, or we should use a hash of
 the name.
 

string node_name = 1;

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

NodeExecStats.Builder publik clearOpEndRelMicros ()

int64 op_end_rel_micros = 4;

NodeExecStats.Builder publik clearOpEndRelNanos ()

int64 op_end_rel_nanos = 15;

NodeExecStats.Builder publik clearOpStartRelMicros ()

int64 op_start_rel_micros = 3;

NodeExecStats.Builder publik clearOpStartRelNanos ()

int64 op_start_rel_nanos = 14;

NodeExecStats.Builder publik clearOutput ()

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder publik clearReferencedTensor ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder publik clearScheduledMicros ()

int64 scheduled_micros = 9;

NodeExecStats.Builder publik clearScheduledNanos ()

int64 scheduled_nanos = 17;

NodeExecStats.Builder publik clearThreadId ()

uint32 thread_id = 10;

NodeExecStats.Builder publik clearTimelineLabel ()

string timeline_label = 8;

klon NodeExecStats.Builder publik ()

getAllEndRelMicros panjang publik ()

int64 all_end_rel_micros = 5;

getAllEndRelNanos panjang publik ()

int64 all_end_rel_nanos = 16;

getAllStartMicros publik yang panjang ()

int64 all_start_micros = 2;

getAllStartNanos panjang publik ()

int64 all_start_nanos = 13;

NodeExecStats publik getDefaultInstanceForType ()

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

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

AllocatorMemory publik Digunakan getMemory (indeks int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

AllocatorMemoryUsed.Builder publik getMemoryBuilder (indeks int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

Daftar publik< AllocatorMemoryUsed.Builder > getMemoryBuilderList ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

int publik getMemoryCount ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

Daftar publik< AllocatorMemoryUsed > getMemoryList ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

public AllocatorMemoryUsedOrBuilder getMemoryOrBuilder (indeks int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

Daftar Publik<? memperluas AllocatorMemoryUsedOrBuilder > getMemoryOrBuilderList ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

MemoryStats publik getMemoryStats ()

.tensorflow.MemoryStats memory_stats = 12;

MemoryStats.Builder publik getMemoryStatsBuilder ()

.tensorflow.MemoryStats memory_stats = 12;

MemoryStatsOrBuilder publik getMemoryStatsOrBuilder ()

.tensorflow.MemoryStats memory_stats = 12;

String publik getNodeName ()

 TODO(tucker): Use some more compact form of node identity than
 the full string name.  Either all processes should agree on a
 global id (cost_id?) for each node, or we should use a hash of
 the name.
 

string node_name = 1;

publik com.google.protobuf.ByteString getNodeNameBytes ()

 TODO(tucker): Use some more compact form of node identity than
 the full string name.  Either all processes should agree on a
 global id (cost_id?) for each node, or we should use a hash of
 the name.
 

string node_name = 1;

getOpEndRelMicros panjang publik ()

int64 op_end_rel_micros = 4;

getOpEndRelNanos panjang publik ()

int64 op_end_rel_nanos = 15;

getOpStartRelMicros panjang publik ()

int64 op_start_rel_micros = 3;

getOpStartRelNanos panjang publik ()

int64 op_start_rel_nanos = 14;

getOutput NodeOutput publik (indeks int)

repeated .tensorflow.NodeOutput output = 7;

NodeOutput.Builder publik getOutputBuilder (indeks int)

repeated .tensorflow.NodeOutput output = 7;

Daftar publik< NodeOutput.Builder > getOutputBuilderList ()

repeated .tensorflow.NodeOutput output = 7;

int publik getOutputCount ()

repeated .tensorflow.NodeOutput output = 7;

Daftar publik< NodeOutput > getOutputList ()

repeated .tensorflow.NodeOutput output = 7;

NodeOutputOrBuilder publik getOutputOrBuilder (int indeks)

repeated .tensorflow.NodeOutput output = 7;

Daftar Publik<? memperluas NodeOutputOrBuilder > getOutputOrBuilderList ()

repeated .tensorflow.NodeOutput output = 7;

public AllocationDescription getReferencedTensor (indeks int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public AllocationDescription.Builder getReferencedTensorBuilder (indeks int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

Daftar publik< AllocationDescription.Builder > getReferencedTensorBuilderList ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

int publik getReferencedTensorCount ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

Daftar publik< AllocationDescription > getReferencedTensorList ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public AllocationDescriptionOrBuilder getReferencedTensorOrBuilder (indeks int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

Daftar Publik<? memperluas AllocationDescriptionOrBuilder > getReferencedTensorOrBuilderList ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getScheduledMicros panjang publik ()

int64 scheduled_micros = 9;

get panjang publikScheduledNanos ()

int64 scheduled_nanos = 17;

int publik getThreadId ()

uint32 thread_id = 10;

String publik getTimelineLabel ()

string timeline_label = 8;

publik com.google.protobuf.ByteString getTimelineLabelBytes ()

string timeline_label = 8;

boolean publik hasMemoryStats ()

.tensorflow.MemoryStats memory_stats = 12;

boolean akhir publik diinisialisasi ()

NodeExecStats.Builder mergeFrom publik (com.google.protobuf.Message lainnya)

NodeExecStats.Builder mergeFrom publik (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

NodeExecStats.Builder mergeMemoryStats publik (nilai MemoryStats )

.tensorflow.MemoryStats memory_stats = 12;

NodeExecStats.Builder final publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

NodeExecStats.Builder publik deleteMemory (indeks int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder publik deleteOutput (indeks int)

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder publik deleteReferencedTensor (int indeks)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public NodeExecStats.Builder setAllEndRelMicros (nilai panjang)

int64 all_end_rel_micros = 5;

public NodeExecStats.Builder setAllEndRelNanos (nilai panjang)

int64 all_end_rel_nanos = 16;

public NodeExecStats.Builder setAllStartMicros (nilai panjang)

int64 all_start_micros = 2;

public NodeExecStats.Builder setAllStartNanos (nilai panjang)

int64 all_start_nanos = 13;

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

NodeExecStats.Builder setMemory publik (indeks int, AllocatorMemoryUsed.Builder builderForValue)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder setMemory publik (indeks int, nilai AllocatorMemoryUsed )

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

NodeExecStats.Builder setMemoryStats publik ( MemoryStats.Builder builderForValue)

.tensorflow.MemoryStats memory_stats = 12;

NodeExecStats.Builder setMemoryStats publik (nilai MemoryStats )

.tensorflow.MemoryStats memory_stats = 12;

NodeExecStats.Builder publik setNodeName (Nilai string)

 TODO(tucker): Use some more compact form of node identity than
 the full string name.  Either all processes should agree on a
 global id (cost_id?) for each node, or we should use a hash of
 the name.
 

string node_name = 1;

NodeExecStats.Builder publik setNodeNameBytes (nilai com.google.protobuf.ByteString)

 TODO(tucker): Use some more compact form of node identity than
 the full string name.  Either all processes should agree on a
 global id (cost_id?) for each node, or we should use a hash of
 the name.
 

string node_name = 1;

NodeExecStats.Builder setOpEndRelMicros publik (nilai panjang)

int64 op_end_rel_micros = 4;

NodeExecStats.Builder setOpEndRelNanos publik (nilai panjang)

int64 op_end_rel_nanos = 15;

public NodeExecStats.Builder setOpStartRelMicros (nilai panjang)

int64 op_start_rel_micros = 3;

public NodeExecStats.Builder setOpStartRelNanos (nilai panjang)

int64 op_start_rel_nanos = 14;

NodeExecStats.Builder setOutput publik (indeks int, NodeOutput.Builder buildForValue)

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder setOutput publik (indeks int, nilai NodeOutput )

repeated .tensorflow.NodeOutput output = 7;

NodeExecStats.Builder publik setReferencedTensor (indeks int, nilai AllocationDescription )

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

NodeExecStats.Builder setReferencedTensor publik (indeks int, AllocationDescription.Builder builderForValue)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

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

public NodeExecStats.Builder setScheduledMicros (nilai panjang)

int64 scheduled_micros = 9;

public NodeExecStats.Builder setScheduledNanos (nilai panjang)

int64 scheduled_nanos = 17;

publik NodeExecStats.Builder setThreadId (nilai int)

uint32 thread_id = 10;

NodeExecStats.Builder publik setTimelineLabel (Nilai string)

string timeline_label = 8;

NodeExecStats.Builder publik setTimelineLabelBytes (nilai com.google.protobuf.ByteString)

string timeline_label = 8;

NodeExecStats.Builder final publik setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)