NodeDefOrBuilder

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 Map<String, AttrValue > getAttr ()

대신 getAttrMap() 사용하세요.

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;