SignatureDefOrBuilder

interface pública SignatureDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

booleano abstrato
containsInputs (chave String)
 Named input parameters.
booleano abstrato
containsOutputs (chave String)
 Named output parameters.
Mapa abstrato <String, TensorInfo >
getInputs ()
Use getInputsMap() vez disso.
abstrato int
getInputsCount ()
 Named input parameters.
Mapa abstrato <String, TensorInfo >
getInputsMap ()
 Named input parameters.
TensorInfo abstrato
getInputsOrDefault (String key, TensorInfo defaultValue)
 Named input parameters.
TensorInfo abstrato
getInputsOrThrow (chave String)
 Named input parameters.
String abstrata
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.
Mapa abstrato <String, TensorInfo >
getOutputs ()
getOutputsMap() vez disso, use getOutputsMap() .
abstrato int
getOutputsCount ()
 Named output parameters.
Mapa abstrato <String, TensorInfo >
getOutputsMap ()
 Named output parameters.
TensorInfo abstrato
getOutputsOrDefault (String key, TensorInfo defaultValue)
 Named output parameters.
TensorInfo abstrato
getOutputsOrThrow (String key)
 Named output parameters.

Métodos Públicos

public abstract boolean containsInputs (String key) 

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

public abstract boolean containsOutputs (String key) 

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

public abstract Map <String, TensorInfo > getInputs ()

Em vez disso, use getInputsMap() .

public abstract int getInputsCount () 

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

public abstract Map <String, TensorInfo > getInputsMap () 

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

public abstract TensorInfo getInputsOrDefault (String key, TensorInfo defaultValue) 

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

public abstract TensorInfo getInputsOrThrow (String key) 

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

public abstract String 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;

public abstract 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 abstract Map <String, TensorInfo > getOutputs ()

getOutputsMap() vez disso, use getOutputsMap() .

public abstract int getOutputsCount () 

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

public abstract Map <String, TensorInfo > getOutputsMap () 

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

public abstract TensorInfo getOutputsOrDefault (String key, TensorInfo defaultValue) 

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

public abstract TensorInfo getOutputsOrThrow (String key) 

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