NodeDefOrBuilder

interfaz pública NodeDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

booleano abstracto
contieneAttr (clave de cadena)
 Operation-specific graph-construction-time configuration.
Mapa abstracto<Cadena, ValorAtributo >
obtenerAttr ()
Utilice getAttrMap() en su lugar.
resumen entero
getAttrCount ()
 Operation-specific graph-construction-time configuration.
Mapa abstracto<Cadena, ValorAtributo >
getAttrMap ()
 Operation-specific graph-construction-time configuration.
valor de atributo abstracto
getAttrOrDefault (clave de cadena, AttrValue valor predeterminado)
 Operation-specific graph-construction-time configuration.
valor de atributo abstracto
getAttrOrThrow (clave de cadena)
 Operation-specific graph-construction-time configuration.
cadena abstracta
obtener dispositivo ()
 A (possibly partial) specification for the device on which this
 node should be placed.
resumen com.google.protobuf.ByteString
obtenerDeviceBytes ()
 A (possibly partial) specification for the device on which this
 node should be placed.
resumen NodeDef.ExperimentalDebugInfo
getExperimentalDebugInfo ()
 This stores debug information associated with the node.
resumen NodeDef.ExperimentalDebugInfoOrBuilder
getExperimentalDebugInfoOrBuilder ()
 This stores debug information associated with the node.
cadena abstracta
getInput (índice int)
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
resumen com.google.protobuf.ByteString
getInputBytes (índice int)
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
resumen entero
getInputCount ()
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
Lista abstracta<Cadena>
obtener lista de entradas ()
 Each input is "node:src_output" with "node" being a string name and
 "src_output" indicating which output tensor to use from "node".
cadena abstracta
obtenerNombre ()
 The name given to this operator.
resumen com.google.protobuf.ByteString
getNombreBytes ()
 The name given to this operator.
cadena abstracta
obtenerOp ()
 The operation name.
resumen com.google.protobuf.ByteString
obtenerOpBytes ()
 The operation name.
booleano abstracto
tieneExperimentalDebugInfo ()
 This stores debug information associated with the node.

Métodos públicos

booleano abstracto público contieneAttr (clave de cadena)

 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;

Mapa abstracto público<Cadena, AttrValue > getAttr ()

Utilice getAttrMap() en su lugar.

resumen público 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;

Mapa abstracto público<Cadena, 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;

resumen público AttrValue getAttrOrDefault (clave de cadena, 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;

resumen público AttrValue getAttrOrThrow (clave de cadena)

 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;

Cadena abstracta pública 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;

resumen público 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;

resumen público NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()

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

resumen público NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()

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

Cadena abstracta pública getInput (índice 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;

resumen público com.google.protobuf.ByteString getInputBytes (índice 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;

resumen público 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;

Lista abstracta pública<Cadena> 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;

Cadena abstracta pública 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;

resumen público 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;

Cadena abstracta pública 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;

resumen público 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;

hasExperimentalDebugInfo booleano abstracto público ()

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