NodeDefOrBuilder

общедоступный интерфейс NodeDefOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактное логическое значение
содержитAttr (строковый ключ)
 Operation-specific graph-construction-time configuration.
абстрактная карта<String, AttrValue >
getAttr ()
Вместо этого используйте getAttrMap() .
абстрактный int
getAttrCount ()
 Operation-specific graph-construction-time configuration.
абстрактная карта<String, AttrValue >
getAттрмап ()
 Operation-specific graph-construction-time configuration.
абстрактный атрибут AttrValue
getAttrOrDefault (строковый ключ, AttrValue defaultValue)
 Operation-specific graph-construction-time configuration.
абстрактный атрибут AttrValue
getAttrOrThrow (строковый ключ)
 Operation-specific graph-construction-time configuration.
абстрактная строка
получитьУстройство ()
 A (possibly partial) specification for the device on which this
 node should be placed.
абстрактный com.google.protobuf.ByteString
getDeviceBytes ()
 A (possibly partial) specification for the device on which this
 node should be placed.
абстрактный NodeDef.ExperimentalDebugInfo
getExperimentalDebugInfo ()
 This stores debug information associated with the node.
абстрактный NodeDef.ExperimentalDebugInfoOrBuilder
getExperimentalDebugInfoOrBuilder ()
 This stores debug information associated with the node.
абстрактная строка
getInput (целочисленный индекс)
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
абстрактный com.google.protobuf.ByteString
getInputBytes (индекс целого числа)
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
абстрактный int
получитьИнпутКаунт ()
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
абстрактный список<String>
получитьИнпутЛист ()
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
абстрактная строка
получитьИмя ()
 The name given to this operator.
абстрактный com.google.protobuf.ByteString
getNameBytes ()
 The name given to this operator.
абстрактная строка
получитьОп ()
 The operation name.
абстрактный com.google.protobuf.ByteString
getOpBytes ()
 The operation name.
абстрактное логическое значение
имеетExperimentalDebugInfo ()
 This stores debug information associated with the node.

Публичные методы

общедоступное абстрактное логическое значение containsAttr (строковый ключ)

 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;

общедоступная абстрактная карта Map<String, AttrValue > getAttr ()

Вместо этого используйте getAttrMap() .

публичный абстрактный 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;

публичная абстрактная карта 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;

общедоступный абстрактный AttrValue getAttrOrDefault (строковый ключ, 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;

общедоступный абстрактный AttrValue getAttrOrThrow (строковый ключ)

 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;

общедоступная абстрактная строка 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;

общедоступный абстрактный 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;

публичный абстрактный NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;

общедоступный абстрактный NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;

общедоступная абстрактная строка getInput (индекс int)

 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;

общедоступный абстрактный com.google.protobuf.ByteString getInputBytes (индекс int)

 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;

публичный абстрактный 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;

общедоступный абстрактный список <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;

общедоступная абстрактная строка 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;

общедоступный абстрактный 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;

публичная абстрактная строка 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;

публичный абстрактный 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;

общедоступное абстрактное логическое значение hasExperimentalDebugInfo ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;