SignatureDefOrBuilder

interface publique SignatureDefOrBuilder

Sous-classes indirectes connues

Méthodes publiques

booléen abstrait	containInputs (clé de chaîne) Named input parameters.
booléen abstrait	contient des sorties (clé de chaîne) Named output parameters.
Carte abstraite<String, TensorInfo >	getInputs () Utilisez plutôt `getInputsMap()` .
abstrait entier	getInputsCount () Named input parameters.
Carte abstraite<String, TensorInfo >	getInputsMap () Named input parameters.
résumé TensorInfo	getInputsOrDefault (clé de chaîne, TensorInfo defaultValue) Named input parameters.
résumé TensorInfo	getInputsOrThrow (clé de chaîne) Named input parameters.
chaîne abstraite	getMethodName () Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
résumé com.google.protobuf.ByteString	getMethodNameBytes () Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
Carte abstraite<String, TensorInfo >	getOutputs () Utilisez plutôt `getOutputsMap()` .
abstrait entier	getOutputsCount () Named output parameters.
Carte abstraite<String, TensorInfo >	getOutputsMap () Named output parameters.
résumé TensorInfo	getOutputsOrDefault (clé de chaîne, TensorInfo defaultValue) Named output parameters.
résumé TensorInfo	getOutputsOrThrow (clé de chaîne) Named output parameters.

Méthodes publiques

public abstrait booléen containInputs (clé de chaîne)

 Named input parameters.

map<string, .tensorflow.TensorInfo> inputs = 1;

public abstrait booléen containOutputs (clé de chaîne)

 Named output parameters.

map<string, .tensorflow.TensorInfo> outputs = 2;

public abstrait Map<String, TensorInfo > getInputs ()

Utilisez plutôt getInputsMap() .

public abstrait int getInputsCount ()

 Named input parameters.

map<string, .tensorflow.TensorInfo> inputs = 1;

public abstrait Map<String, TensorInfo > getInputsMap ()

 Named input parameters.

map<string, .tensorflow.TensorInfo> inputs = 1;

résumé public TensorInfo getInputsOrDefault (clé de chaîne, TensorInfo defaultValue)

 Named input parameters.

map<string, .tensorflow.TensorInfo> inputs = 1;

résumé public TensorInfo getInputsOrThrow (clé de chaîne)

 Named input parameters.

map<string, .tensorflow.TensorInfo> inputs = 1;

chaîne abstraite publique getMethodName ()

 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method. This enables producers and
 consumers of SignatureDefs, e.g. a model definition library and a serving
 library to have a clear hand-off regarding the semantics of a computation.
 Note that multiple SignatureDefs in a single MetaGraphDef may have the same
 method_name. This is commonly used to support multi-headed computation,
 where a single graph computation may return multiple results.

string method_name = 3;

résumé public com.google.protobuf.ByteString getMethodNameBytes ()

 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method. This enables producers and
 consumers of SignatureDefs, e.g. a model definition library and a serving
 library to have a clear hand-off regarding the semantics of a computation.
 Note that multiple SignatureDefs in a single MetaGraphDef may have the same
 method_name. This is commonly used to support multi-headed computation,
 where a single graph computation may return multiple results.

string method_name = 3;

public abstrait Map<String, TensorInfo > getOutputs ()

Utilisez plutôt getOutputsMap() .

public abstrait int getOutputsCount ()

 Named output parameters.

map<string, .tensorflow.TensorInfo> outputs = 2;

public abstrait Map<String, TensorInfo > getOutputsMap ()

 Named output parameters.

map<string, .tensorflow.TensorInfo> outputs = 2;

résumé public TensorInfo getOutputsOrDefault (clé de chaîne, TensorInfo defaultValue)

 Named output parameters.

map<string, .tensorflow.TensorInfo> outputs = 2;

résumé public TensorInfo getOutputsOrThrow (clé de chaîne)

 Named output parameters.

map<string, .tensorflow.TensorInfo> outputs = 2;