SignatureDefOrBuilder

genel arayüz SignatureDefOrBuilder
Bilinen Dolaylı Alt Sınıflar

Genel Yöntemler

soyut boole
içerirGirişler (Dize anahtarı)
 Named input parameters.
soyut boole
içerirÇıkışlar (Dize anahtarı)
 Named output parameters.
soyut Harita<String, TensorInfo >
getInputs ()
Bunun yerine getInputsMap() işlevini kullanın.
soyut int
getInputsCount ()
 Named input parameters.
soyut Harita<String, TensorInfo >
getInputsMap ()
 Named input parameters.
özet TensorInfo
getInputsOrDefault (Dize anahtarı, TensorInfo defaultValue)
 Named input parameters.
özet TensorInfo
getInputsOrThrow (Dize tuşu)
 Named input parameters.
soyut Dize
getMethodName ()
 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method.
abstract com.google.protobuf.ByteString
getMethodNameBytes ()
 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method.
soyut Harita<String, TensorInfo >
çıktıları al ()
Bunun yerine getOutputsMap() işlevini kullanın.
soyut int
getOutputsCount ()
 Named output parameters.
soyut Harita<String, TensorInfo >
getOutputsMap ()
 Named output parameters.
özet TensorInfo
getOutputsOrDefault (Dize anahtarı, TensorInfo defaultValue)
 Named output parameters.
özet TensorInfo
getOutputsOrThrow (Dize tuşu)
 Named output parameters.

Genel Yöntemler

genel soyut boolean içerirGirişler (Dize anahtarı)

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

genel soyut boolean içerirÇıkışlar (Dize anahtarı)

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

genel soyut Harita<String, TensorInfo > getInputs ()

Bunun yerine getInputsMap() işlevini kullanın.

genel özet int getInputsCount ()

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

genel soyut Harita<String, TensorInfo > getInputsMap ()

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

genel özet TensorInfo getInputsOrDefault (Dize anahtarı, TensorInfo defaultValue)

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

genel özet TensorInfo getInputsOrThrow (String anahtarı)

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

genel özet Dize 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;

genel özet 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;

genel soyut Harita<String, TensorInfo > getOutputs ()

Bunun yerine getOutputsMap() işlevini kullanın.

genel özet int getOutputsCount ()

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

genel soyut Harita<String, TensorInfo > getOutputsMap ()

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

genel özet TensorInfo getOutputsOrDefault (Dize anahtarı, TensorInfo defaultValue)

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

genel özet TensorInfo getOutputsOrThrow (String tuşu)

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