NodeExecStats

classe finale publique NodeExecStats

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

tensorflow.NodeExecStats de type Protobuf.NodeExecStats

Classes imbriquées

classe

NodeExecStats.Builder

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

Constantes

int	ALL_END_REL_MICROS_FIELD_NUMBER
int	ALL_END_REL_NANOS_FIELD_NUMBER
int	ALL_START_MICROS_FIELD_NUMBER
int	ALL_START_NANOS_FIELD_NUMBER
int	MEMORY_FIELD_NUMBER
int	MEMORY_STATS_FIELD_NUMBER
int	NODE_NAME_FIELD_NUMBER
int	OP_END_REL_MICROS_FIELD_NUMBER
int	OP_END_REL_NANOS_FIELD_NUMBER
int	OP_START_REL_MICROS_FIELD_NUMBER
int	OP_START_REL_NANOS_FIELD_NUMBER
int	OUTPUT_FIELD_NUMBER
int	REFERENCED_TENSOR_FIELD_NUMBER
int	SCHEDULED_MICROS_FIELD_NUMBER
int	SCHEDULED_NANOS_FIELD_NUMBER
int	THREAD_ID_FIELD_NUMBER
int	TIMELINE_LABEL_FIELD_NUMBER

Méthodes publiques

booléen	est égal (Obj objet)
long	getAllEndRelMicros () int64 all_end_rel_micros = 5;
long	getAllEndRelNanos () int64 all_end_rel_nanos = 16;
long	getAllStartMicros () int64 all_start_micros = 2;
long	getAllStartNanos () int64 all_start_nanos = 13;
NodeExecStats statique	getDefaultInstance ()
NodeExecStats	getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
AllocateurMémoireUtilisée	getMemory (index int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
int	getMemoryCount () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Liste< AllocatorMemoryUsed >	getMemoryList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsedOrBuilder	getMemoryOrBuilder (index int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Liste<? étend AllocatorMemoryUsedOrBuilder >	getMemoryOrBuilderList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Statistiques mémoire	getMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
MemoryStatsOrBuilder	getMemoryStatsOrBuilder () .tensorflow.MemoryStats memory_stats = 12;
Chaîne	getNodeName () TODO(tucker): Use some more compact form of node identity than the full string name.
com.google.protobuf.ByteString	getNodeNameBytes () TODO(tucker): Use some more compact form of node identity than the full string name.
long	getOpEndRelMicros () int64 op_end_rel_micros = 4;
long	getOpEndRelNanos () int64 op_end_rel_nanos = 15;
long	getOpStartRelMicros () int64 op_start_rel_micros = 3;
long	getOpStartRelNanos () int64 op_start_rel_nanos = 14;
Sortie de nœud	getOutput (index entier) repeated .tensorflow.NodeOutput output = 7;
int	getOutputCount () repeated .tensorflow.NodeOutput output = 7;
Liste< NodeOutput >	getOutputList () repeated .tensorflow.NodeOutput output = 7;
NodeOutputOrBuilder	getOutputOrBuilder (index int) repeated .tensorflow.NodeOutput output = 7;
Liste<? étend NodeOutputOrBuilder >	getOutputOrBuilderList () repeated .tensorflow.NodeOutput output = 7;
	getParserForType ()
Description de l'allocation	getReferencedTensor (index int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
int	getReferencedTensorCount () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Liste< AllocationDescription >	getReferencedTensorList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescriptionOuBuilder	getReferencedTensorOrBuilder (index int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Liste<? étend AllocationDescriptionOrBuilder >	getReferencedTensorOrBuilderList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
long	getScheduledMicros () int64 scheduled_micros = 9;
long	getScheduledNanos () int64 scheduled_nanos = 17;
int	getSerializedSize ()
int	getThreadId () uint32 thread_id = 10;
Chaîne	getTimelineLabel () string timeline_label = 8;
com.google.protobuf.ByteString	getTimelineLabelBytes () string timeline_label = 8;
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booléen	hasMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
int	Code de hachage ()
booléen final	estInitialisé ()
NodeExecStats.Builder statique	newBuilder (prototype NodeExecStats )
NodeExecStats.Builder statique	nouveauBuilder ()
NodeExecStats.Builder	nouveauBuilderForType ()
NodeExecStats statique	parseDelimitedFrom (entrée InputStream)
NodeExecStats statique	parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats statique	parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats statique	parseFrom (entrée com.google.protobuf.CodedInputStream)
NodeExecStats statique	parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats statique	parseFrom (données ByteBuffer)
NodeExecStats statique	parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats statique	parseFrom (données com.google.protobuf.ByteString)
NodeExecStats statique	parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NodeExecStats statique	parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique	analyseur ()
NodeExecStats.Builder	toBuilder ()
vide	writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.NodeExecStatsOrBuilder

abstrait long	getAllEndRelMicros () int64 all_end_rel_micros = 5;
abstrait long	getAllEndRelNanos () int64 all_end_rel_nanos = 16;
abstrait long	getAllStartMicros () int64 all_start_micros = 2;
abstrait long	getAllStartNanos () int64 all_start_nanos = 13;
abstrait AllocatorMemoryUsed	getMemory (index int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
abstrait entier	getMemoryCount () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Liste abstraite < AllocatorMemoryUsed >	getMemoryList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
abstrait AllocatorMemoryUsedOrBuilder	getMemoryOrBuilder (index int) repeated .tensorflow.AllocatorMemoryUsed memory = 6;
Liste abstraite <? étend AllocatorMemoryUsedOrBuilder >	getMemoryOrBuilderList () repeated .tensorflow.AllocatorMemoryUsed memory = 6;
RésuméMemoryStats	getMemoryStats () .tensorflow.MemoryStats memory_stats = 12;
abstrait MemoryStatsOrBuilder	getMemoryStatsOrBuilder () .tensorflow.MemoryStats memory_stats = 12;
Chaîne abstraite	getNodeName () TODO(tucker): Use some more compact form of node identity than the full string name.
résumé com.google.protobuf.ByteString	getNodeNameBytes () TODO(tucker): Use some more compact form of node identity than the full string name.
abstrait long	getOpEndRelMicros () int64 op_end_rel_micros = 4;
abstrait long	getOpEndRelNanos () int64 op_end_rel_nanos = 15;
abstrait long	getOpStartRelMicros () int64 op_start_rel_micros = 3;
abstrait long	getOpStartRelNanos () int64 op_start_rel_nanos = 14;
résumé NodeOutput	getOutput (index entier) repeated .tensorflow.NodeOutput output = 7;
abstrait entier	getOutputCount () repeated .tensorflow.NodeOutput output = 7;
Liste abstraite < NodeOutput >	getOutputList () repeated .tensorflow.NodeOutput output = 7;
abstrait NodeOutputOrBuilder	getOutputOrBuilder (index int) repeated .tensorflow.NodeOutput output = 7;
Liste abstraite <? étend NodeOutputOrBuilder >	getOutputOrBuilderList () repeated .tensorflow.NodeOutput output = 7;
résumé AllocationDescription	getReferencedTensor (index int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrait entier	getReferencedTensorCount () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Liste abstraite < AllocationDescription >	getReferencedTensorList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrait AllocationDescriptionOrBuilder	getReferencedTensorOrBuilder (index int) repeated .tensorflow.AllocationDescription referenced_tensor = 11;
Liste abstraite <? étend AllocationDescriptionOrBuilder >	getReferencedTensorOrBuilderList () repeated .tensorflow.AllocationDescription referenced_tensor = 11;
abstrait long	getScheduledMicros () int64 scheduled_micros = 9;
abstrait long	getScheduledNanos () int64 scheduled_nanos = 17;
abstrait entier	getThreadId () uint32 thread_id = 10;
Chaîne abstraite	getTimelineLabel () string timeline_label = 8;
résumé com.google.protobuf.ByteString	getTimelineLabelBytes () string timeline_label = 8;
booléen abstrait	hasMemoryStats () .tensorflow.MemoryStats memory_stats = 12;

Constantes

public static final int ALL_END_REL_MICROS_FIELD_NUMBER

Valeur constante : 5

public static final int ALL_END_REL_NANOS_FIELD_NUMBER

Valeur constante : 16

public statique final int ALL_START_MICROS_FIELD_NUMBER

Valeur constante : 2

public statique final int ALL_START_NANOS_FIELD_NUMBER

Valeur constante : 13

public statique final int MEMORY_FIELD_NUMBER

Valeur constante : 6

public statique final int MEMORY_STATS_FIELD_NUMBER

Valeur constante : 12

public statique final int NODE_NAME_FIELD_NUMBER

Valeur constante : 1

public static final int OP_END_REL_MICROS_FIELD_NUMBER

Valeur constante : 4

public static final int OP_END_REL_NANOS_FIELD_NUMBER

Valeur constante : 15

public statique final int OP_START_REL_MICROS_FIELD_NUMBER

Valeur constante : 3

public statique final int OP_START_REL_NANOS_FIELD_NUMBER

Valeur constante : 14

public statique final entier OUTPUT_FIELD_NUMBER

Valeur constante : 7

public statique final int REFERENCED_TENSOR_FIELD_NUMBER

Valeur constante : 11

public statique final int SCHEDULED_MICROS_FIELD_NUMBER

Valeur constante : 9

public statique final int SCHEDULED_NANOS_FIELD_NUMBER

Valeur constante : 17

public statique final int THREAD_ID_FIELD_NUMBER

Valeur constante : 10

public statique final int TIMELINE_LABEL_FIELD_NUMBER

Valeur constante : 8

Méthodes publiques

public booléen égal (Objet obj)

public long getAllEndRelMicros ()

int64 all_end_rel_micros = 5;

public long getAllEndRelNanos ()

int64 all_end_rel_nanos = 16;

public long getAllStartMicros ()

int64 all_start_micros = 2;

public long getAllStartNanos ()

int64 all_start_nanos = 13;

public statique NodeExecStats getDefaultInstance ()

public NodeExecStats getDefaultInstanceForType ()

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

public AllocatorMemoryUsed getMemory (index int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

public int getMemoryCount ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

liste publique < AllocatorMemoryUsed > getMemoryList ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

public AllocatorMemoryUsedOrBuilder getMemoryOrBuilder (index int)

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

Liste publique <? étend AllocatorMemoryUsedOrBuilder > getMemoryOrBuilderList ()

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

public MemoryStats getMemoryStats ()

.tensorflow.MemoryStats memory_stats = 12;

public MemoryStatsOrBuilder getMemoryStatsOrBuilder ()

.tensorflow.MemoryStats memory_stats = 12;

chaîne publique getNodeName ()

chaîne

 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;

public 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;

public long getOpEndRelMicros ()

int64 op_end_rel_micros = 4;

public long getOpEndRelNanos ()

int64 op_end_rel_nanos = 15;

public long getOpStartRelMicros ()

int64 op_start_rel_micros = 3;

public long getOpStartRelNanos ()

int64 op_start_rel_nanos = 14;

public NodeOutput getOutput (index int)

repeated .tensorflow.NodeOutput output = 7;

public int getOutputCount ()

repeated .tensorflow.NodeOutput output = 7;

liste publique < NodeOutput > getOutputList ()

repeated .tensorflow.NodeOutput output = 7;

public NodeOutputOrBuilder getOutputOrBuilder (index int)

repeated .tensorflow.NodeOutput output = 7;

Liste publique <? étend NodeOutputOrBuilder > getOutputOrBuilderList ()

repeated .tensorflow.NodeOutput output = 7;

publique getParserForType ()

public AllocationDescription getReferencedTensor (index int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public int getReferencedTensorCount ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

liste publique < AllocationDescription > getReferencedTensorList ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public AllocationDescriptionOrBuilder getReferencedTensorOrBuilder (index int)

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

Liste publique <? étend AllocationDescriptionOrBuilder > getReferencedTensorOrBuilderList ()

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

public long getScheduledMicros ()

int64 scheduled_micros = 9;

public long getScheduledNanos ()

int64 scheduled_nanos = 17;

public int getSerializedSize ()

public int getThreadId ()

uint32 thread_id = 10;

chaîne publique getTimelineLabel ()

string timeline_label = 8;

public com.google.protobuf.ByteString getTimelineLabelBytes ()

string timeline_label = 8;

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

public booléen hasMemoryStats ()

.tensorflow.MemoryStats memory_stats = 12;

code de hachage int public ()

public final booléen isInitialized ()

public statique NodeExecStats.Builder newBuilder (prototype NodeExecStats )

public statique NodeExecStats.Builder newBuilder ()

public NodeExecStats.Builder newBuilderForType ()

public statique NodeExecStats parseDelimitedFrom (entrée InputStream)

Jetés

IOException

public statique NodeExecStats parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public statique NodeExecStats parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique NodeExecStats parseFrom (entrée com.google.protobuf.CodedInputStream)

Jetés

IOException

public statique NodeExecStats parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique NodeExecStats parseFrom (données ByteBuffer)

Jetés

InvalidProtocolBufferException

public statique NodeExecStats parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public statique NodeExecStats parseFrom (données com.google.protobuf.ByteString)

Jetés

InvalidProtocolBufferException

public statique NodeExecStats parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public statique NodeExecStats parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique analyseur ()

public NodeExecStats.Builder toBuilder ()

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

Jetés

IOException