공개 인터페이스 NodeDefOrBuilder 
| 알려진 간접 하위 클래스 | 
공개 방법
| 추상 부울 |  containAttr (문자열 키)  Operation-specific graph-construction-time configuration.  | 
| 추상 맵<String, AttrValue > |  getAttr ()  대신  getAttrMap() 사용하세요. | 
| 추상 정수 |  getAttrCount ()  Operation-specific graph-construction-time configuration.  | 
| 추상 맵<String, AttrValue > |  getAttrMap ()  Operation-specific graph-construction-time configuration.  | 
| 추상 속성값 |  getAttrOrDefault (문자열 키, AttrValue defaultValue)  Operation-specific graph-construction-time configuration.  | 
| 추상 속성값 |  getAttrOrThrow (문자열 키)  Operation-specific graph-construction-time configuration.  | 
| 추상 문자열 |  getDevice ()  A (possibly partial) specification for the device on which this node should be placed.  | 
| 추상 com.google.protobuf.ByteString |  getDeviceBytes ()  A (possibly partial) specification for the device on which this node should be placed.  | 
| 추상 NodeDef.ExperimentalDebugInfo |  getExperimentalDebugInfo ()  This stores debug information associated with the node.  | 
| 추상 NodeDef.ExperimentalDebugInfoOrBuilder |  getExperimentalDebugInfoOrBuilder ()  This stores debug information associated with the node.  | 
| 추상 문자열 |  getInput (정수 인덱스)  Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".  | 
| 추상 com.google.protobuf.ByteString |  getInputBytes (정수 인덱스)  Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".  | 
| 추상 정수 |  getInputCount ()  Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".  | 
| 추상 목록<문자열> |  getInputList ()  Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".  | 
| 추상 문자열 |  getName ()  The name given to this operator.  | 
| 추상 com.google.protobuf.ByteString |  getNameBytes ()  The name given to this operator.  | 
| 추상 문자열 |  getOp ()  The operation name.  | 
| 추상 com.google.protobuf.ByteString |  getOpBytes ()  The operation name.  | 
| 추상 부울 |  hasExperimentalDebugInfo ()  This stores debug information associated with the node.  | 
공개 방법
공개 추상 부울 containAttr (문자열 키)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5; 공개 추상 int getAttrCount ()
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5; 공개 추상 Map<String, AttrValue > getAttrMap ()
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5; 공개 추상 AttrValue getAttrOrDefault (문자열 키, AttrValue defaultValue)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5; 공개 추상 AttrValue getAttrOrThrow (문자열 키)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5; 공개 추상 문자열 getDevice ()
 A (possibly partial) specification for the device on which this
 node should be placed.
 The expected syntax for this string is as follows:
 DEVICE_SPEC ::= PARTIAL_SPEC
 PARTIAL_SPEC ::= ("/" CONSTRAINT) *
 CONSTRAINT ::= ("job:" JOB_NAME)
              | ("replica:" [1-9][0-9]*)
              | ("task:" [1-9][0-9]*)
              | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") )
 Valid values for this string include:
 * "/job:worker/replica:0/task:1/device:GPU:3"  (full specification)
 * "/job:worker/device:GPU:3"                   (partial specification)
 * ""                                    (no specification)
 If the constraints do not resolve to a single device (or if this
 field is empty or not present), the runtime will attempt to
 choose a device automatically.
 string device = 4; 공개 추상 com.google.protobuf.ByteString getDeviceBytes ()
 A (possibly partial) specification for the device on which this
 node should be placed.
 The expected syntax for this string is as follows:
 DEVICE_SPEC ::= PARTIAL_SPEC
 PARTIAL_SPEC ::= ("/" CONSTRAINT) *
 CONSTRAINT ::= ("job:" JOB_NAME)
              | ("replica:" [1-9][0-9]*)
              | ("task:" [1-9][0-9]*)
              | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") )
 Valid values for this string include:
 * "/job:worker/replica:0/task:1/device:GPU:3"  (full specification)
 * "/job:worker/device:GPU:3"                   (partial specification)
 * ""                                    (no specification)
 If the constraints do not resolve to a single device (or if this
 field is empty or not present), the runtime will attempt to
 choose a device automatically.
 string device = 4; 공개 추상 NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6; 공개 추상 NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6; 공개 추상 문자열 getInput (int 인덱스)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3; 공개 추상 com.google.protobuf.ByteString getInputBytes (int 인덱스)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3; 공개 추상 int getInputCount ()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3; 공개 추상 List<String> getInputList ()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3; 공개 추상 문자열 getName ()
The name given to this operator. Used for naming inputs, logging, visualization, etc. Unique within a single GraphDef. Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_>./]*".
string name = 1; 공개 추상 com.google.protobuf.ByteString getNameBytes ()
The name given to this operator. Used for naming inputs, logging, visualization, etc. Unique within a single GraphDef. Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_>./]*".
string name = 1; 공개 추상 문자열 getOp ()
The operation name. There may be custom parameters in attrs. Op names starting with an underscore are reserved for internal use.
string op = 2; 공개 추상 com.google.protobuf.ByteString getOpBytes ()
The operation name. There may be custom parameters in attrs. Op names starting with an underscore are reserved for internal use.
string op = 2; 공개 추상 부울 hasExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;