SignatureDefOrBuilder

interface pública SignatureDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

booleano abstrato
contémInputs (chave String)
 Named input parameters.
booleano abstrato
contémOutputs (chave String)
 Named output parameters.
mapa abstrato<String, TensorInfo >
obterInputs ()
Use getInputsMap() em vez disso.
abstrato int
getInputsCount ()
 Named input parameters.
mapa abstrato<String, TensorInfo >
getInputsMap ()
 Named input parameters.
TensorInfo abstrato
getInputsOrDefault (chave de string, TensorInfo defaultValue)
 Named input parameters.
TensorInfo abstrato
getInputsOrThrow (chave de string)
 Named input parameters.
cadeia abstrata
getMethodName ()
 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method.
abstrato com.google.protobuf.ByteString
getMethodNameBytes ()
 Extensible method_name information enabling third-party users to mark a
 SignatureDef as supporting a particular method.
mapa abstrato<String, TensorInfo >
obterSaídas ()
Use getOutputsMap() em vez disso.
abstrato int
getOutputsCount ()
 Named output parameters.
mapa abstrato<String, TensorInfo >
getOutputsMap ()
 Named output parameters.
TensorInfo abstrato
getOutputsOrDefault (chave de string, TensorInfo defaultValue)
 Named output parameters.
TensorInfo abstrato
getOutputsOrThrow (chave de string)
 Named output parameters.

Métodos Públicos

público abstrato booleano contémInputs (chave String) 

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

público abstrato booleano contémOutputs (chave String) 

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

mapa abstrato público <String, TensorInfo > getInputs ()

Use getInputsMap() em vez disso.

público abstrato int getInputsCount () 

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

público abstrato Map<String, TensorInfo > getInputsMap () 

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

público abstrato TensorInfo getInputsOrDefault (chave String, TensorInfo defaultValue) 

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

público abstrato TensorInfo getInputsOrThrow (chave String) 

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

String abstrata pública 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;

resumo público 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;

mapa abstrato público<String, TensorInfo > getOutputs ()

Use getOutputsMap() em vez disso.

público abstrato int getOutputsCount () 

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

público abstrato Map<String, TensorInfo > getOutputsMap () 

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

público abstrato TensorInfo getOutputsOrDefault (chave String, TensorInfo defaultValue) 

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

público abstrato TensorInfo getOutputsOrThrow (chave String) 

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