public interface NodeExecStatsOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder
Modifier and Type | Method and Description |
---|---|
long |
getAllEndRelMicros()
int64 all_end_rel_micros = 5; |
long |
getAllStartMicros()
int64 all_start_micros = 2; |
AllocatorMemoryUsed |
getMemory(int index)
repeated .tensorflow.AllocatorMemoryUsed memory = 6; |
int |
getMemoryCount()
repeated .tensorflow.AllocatorMemoryUsed memory = 6; |
List<AllocatorMemoryUsed> |
getMemoryList()
repeated .tensorflow.AllocatorMemoryUsed memory = 6; |
AllocatorMemoryUsedOrBuilder |
getMemoryOrBuilder(int index)
repeated .tensorflow.AllocatorMemoryUsed memory = 6; |
List<? extends AllocatorMemoryUsedOrBuilder> |
getMemoryOrBuilderList()
repeated .tensorflow.AllocatorMemoryUsed memory = 6; |
MemoryStats |
getMemoryStats()
.tensorflow.MemoryStats memory_stats = 12; |
MemoryStatsOrBuilder |
getMemoryStatsOrBuilder()
.tensorflow.MemoryStats memory_stats = 12; |
String |
getNodeName()
TODO(tucker): Use some more compact form of node identity than
the full string name.
|
org.nd4j.shade.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 |
getOpStartRelMicros()
int64 op_start_rel_micros = 3; |
NodeOutput |
getOutput(int index)
repeated .tensorflow.NodeOutput output = 7; |
int |
getOutputCount()
repeated .tensorflow.NodeOutput output = 7; |
List<NodeOutput> |
getOutputList()
repeated .tensorflow.NodeOutput output = 7; |
NodeOutputOrBuilder |
getOutputOrBuilder(int index)
repeated .tensorflow.NodeOutput output = 7; |
List<? extends NodeOutputOrBuilder> |
getOutputOrBuilderList()
repeated .tensorflow.NodeOutput output = 7; |
AllocationDescription |
getReferencedTensor(int index)
repeated .tensorflow.AllocationDescription referenced_tensor = 11; |
int |
getReferencedTensorCount()
repeated .tensorflow.AllocationDescription referenced_tensor = 11; |
List<AllocationDescription> |
getReferencedTensorList()
repeated .tensorflow.AllocationDescription referenced_tensor = 11; |
AllocationDescriptionOrBuilder |
getReferencedTensorOrBuilder(int index)
repeated .tensorflow.AllocationDescription referenced_tensor = 11; |
List<? extends AllocationDescriptionOrBuilder> |
getReferencedTensorOrBuilderList()
repeated .tensorflow.AllocationDescription referenced_tensor = 11; |
long |
getScheduledMicros()
int64 scheduled_micros = 9; |
int |
getThreadId()
uint32 thread_id = 10; |
String |
getTimelineLabel()
string timeline_label = 8; |
org.nd4j.shade.protobuf.ByteString |
getTimelineLabelBytes()
string timeline_label = 8; |
boolean |
hasMemoryStats()
.tensorflow.MemoryStats memory_stats = 12; |
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
String 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;
org.nd4j.shade.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;
long getAllStartMicros()
int64 all_start_micros = 2;
long getOpStartRelMicros()
int64 op_start_rel_micros = 3;
long getOpEndRelMicros()
int64 op_end_rel_micros = 4;
long getAllEndRelMicros()
int64 all_end_rel_micros = 5;
List<AllocatorMemoryUsed> getMemoryList()
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsed getMemory(int index)
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
int getMemoryCount()
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
List<? extends AllocatorMemoryUsedOrBuilder> getMemoryOrBuilderList()
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
AllocatorMemoryUsedOrBuilder getMemoryOrBuilder(int index)
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
List<NodeOutput> getOutputList()
repeated .tensorflow.NodeOutput output = 7;
NodeOutput getOutput(int index)
repeated .tensorflow.NodeOutput output = 7;
int getOutputCount()
repeated .tensorflow.NodeOutput output = 7;
List<? extends NodeOutputOrBuilder> getOutputOrBuilderList()
repeated .tensorflow.NodeOutput output = 7;
NodeOutputOrBuilder getOutputOrBuilder(int index)
repeated .tensorflow.NodeOutput output = 7;
String getTimelineLabel()
string timeline_label = 8;
org.nd4j.shade.protobuf.ByteString getTimelineLabelBytes()
string timeline_label = 8;
long getScheduledMicros()
int64 scheduled_micros = 9;
int getThreadId()
uint32 thread_id = 10;
List<AllocationDescription> getReferencedTensorList()
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescription getReferencedTensor(int index)
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
int getReferencedTensorCount()
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
List<? extends AllocationDescriptionOrBuilder> getReferencedTensorOrBuilderList()
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
AllocationDescriptionOrBuilder getReferencedTensorOrBuilder(int index)
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
boolean hasMemoryStats()
.tensorflow.MemoryStats memory_stats = 12;
MemoryStats getMemoryStats()
.tensorflow.MemoryStats memory_stats = 12;
MemoryStatsOrBuilder getMemoryStatsOrBuilder()
.tensorflow.MemoryStats memory_stats = 12;
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