알려진 간접 하위 클래스 |
공개 방법
추상적인 긴 | getComputeCost () Estimate of the computational cost of this node, in microseconds. |
추상적인 긴 | getComputeTime () Analytical estimate of the computational cost of this node, in microseconds. |
추상 정수 | getControlInput (정수 인덱스) Ids of the control inputs for this node. |
추상 정수 | getControlInputCount () Ids of the control inputs for this node. |
추상 목록<정수> | getControlInputList () Ids of the control inputs for this node. |
추상 문자열 | getDevice () The device of the node. |
추상 com.google.protobuf.ByteString | getDeviceBytes () The device of the node. |
추상적인 긴 | getDevicePersistantMemorySize () int64 device_persistent_memory_size = 16 [deprecated = true]; |
추상적인 긴 | getDeviceTempMemorySize () int64 device_temp_memory_size = 11 [deprecated = true]; |
추상적인 긴 | getHostTempMemorySize () int64 host_temp_memory_size = 10 [deprecated = true]; |
추상 정수 | getID () The id of the node. |
추상 부울 | 부정확한 결과를 얻으세요 () Are the costs inaccurate? bool inaccurate = 17; |
추상 CostGraphDef.Node.InputInfo | getInputInfo (정수 인덱스) repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4; |
추상 정수 | getInputInfoCount () repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4; |
추상 목록< CostGraphDef.Node.InputInfo > | getInputInfoList () repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4; |
추상 CostGraphDef.Node.InputInfoOrBuilder | getInputInfoOrBuilder (정수 인덱스) repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4; |
추상 목록<? CostGraphDef.Node.InputInfoOrBuilder 확장 > | getInputInfoOrBuilderList () repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4; |
추상 부울 | getIsFinal () If true, the output is permanent: it can't be discarded, because this node is part of the "final output". |
추상적인 긴 | getMemoryTime () Analytical estimate of the memory access cost of this node, in microseconds. |
추상 문자열 | getName () The name of the node. |
추상 com.google.protobuf.ByteString | getNameBytes () The name of the node. |
추상 CostGraphDef.Node.OutputInfo | getOutputInfo (정수 인덱스) repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5; |
추상 정수 | getOutputInfoCount () repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5; |
추상 목록< CostGraphDef.Node.OutputInfo > | getOutputInfoList () repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5; |
추상 CostGraphDef.Node.OutputInfoOrBuilder | getOutputInfoOrBuilder (정수 인덱스) repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5; |
추상 목록<? CostGraphDef.Node.OutputInfoOrBuilder 확장 > | getOutputInfoOrBuilderList () repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5; |
추상적인 긴 | getPersistantMemorySize () Persistent memory used by this node. |
추상적인 긴 | getTemporaryMemorySize () Temporary memory used by this node. |
공개 방법
공개 추상 긴 getComputeCost ()
Estimate of the computational cost of this node, in microseconds.
int64 compute_cost = 9;
공개 추상 긴 getComputeTime ()
Analytical estimate of the computational cost of this node, in microseconds.
int64 compute_time = 14;
공개 추상 int getControlInput (int 인덱스)
Ids of the control inputs for this node.
repeated int32 control_input = 8;
공개 추상 int getControlInputCount ()
Ids of the control inputs for this node.
repeated int32 control_input = 8;
공개 추상 List<Integer> getControlInputList ()
Ids of the control inputs for this node.
repeated int32 control_input = 8;
공개 추상 문자열 getDevice ()
The device of the node. Can be empty if the node is mapped to the default partition or partitioning hasn't been run yet.
string device = 2;
공개 추상 com.google.protobuf.ByteString getDeviceBytes ()
The device of the node. Can be empty if the node is mapped to the default partition or partitioning hasn't been run yet.
string device = 2;
공개 추상 긴 getDevicePersistantMemorySize ()
int64 device_persistent_memory_size = 16 [deprecated = true];
공개 추상 긴 getDeviceTempMemorySize ()
int64 device_temp_memory_size = 11 [deprecated = true];
공개 추상 긴 getHostTempMemorySize ()
int64 host_temp_memory_size = 10 [deprecated = true];
공개 추상 int getId ()
The id of the node. Node ids are only unique inside a partition.
int32 id = 3;
공개 추상 부울 getInaccurate ()
Are the costs inaccurate?
bool inaccurate = 17;
공개 추상 CostGraphDef.Node.InputInfo getInputInfo (int 인덱스)
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
공개 추상 int getInputInfoCount ()
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
공개 추상 목록< CostGraphDef.Node.InputInfo > getInputInfoList ()
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
공개 추상 CostGraphDef.Node.InputInfoOrBuilder getInputInfoOrBuilder (int 인덱스)
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
공개 요약 목록<? CostGraphDef.Node.InputInfoOrBuilder > getInputInfoOrBuilderList () 를 확장합니다.
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
공개 추상 부울 getIsFinal ()
If true, the output is permanent: it can't be discarded, because this node is part of the "final output". Nodes may depend on final nodes.
bool is_final = 7;
공개 추상 긴 getMemoryTime ()
Analytical estimate of the memory access cost of this node, in microseconds.
int64 memory_time = 15;
공개 추상 문자열 getName ()
The name of the node. Names are globally unique.
string name = 1;
공개 추상 com.google.protobuf.ByteString getNameBytes ()
The name of the node. Names are globally unique.
string name = 1;
공개 추상 CostGraphDef.Node.OutputInfo getOutputInfo (int 인덱스)
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
공개 추상 int getOutputInfoCount ()
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
공개 추상 목록< CostGraphDef.Node.OutputInfo > getOutputInfoList ()
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
공개 추상 CostGraphDef.Node.OutputInfoOrBuilder getOutputInfoOrBuilder (int 인덱스)
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
공개 요약 목록<? CostGraphDef.Node.OutputInfoOrBuilder > getOutputInfoOrBuilderList () 를 확장합니다.
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
공개 추상 긴 getPertantMemorySize ()
Persistent memory used by this node.
int64 persistent_memory_size = 12;
공개 추상 긴 getTemporaryMemorySize ()
Temporary memory used by this node.
int64 temporary_memory_size = 6;