AttrValue.ListValueOrBuilder

antarmuka statis publik AttrValue.ListValueOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

boolean abstrak
getB (indeks int)
 "list(bool)"
 
repeated bool b = 5 [packed = true];
abstrak ke dalam
dapatkanBCount ()
 "list(bool)"
 
repeated bool b = 5 [packed = true];
Daftar abstrak<Boolean>
dapatkanBList ()
 "list(bool)"
 
repeated bool b = 5 [packed = true];
pelampung abstrak
getF (indeks int)
 "list(float)"
 
repeated float f = 4 [packed = true];
abstrak ke dalam
dapatkanFCount ()
 "list(float)"
 
repeated float f = 4 [packed = true];
Daftar abstrak<Float>
dapatkanFList ()
 "list(float)"
 
repeated float f = 4 [packed = true];
abstrak NameAttrList
getFunc (indeks int)
 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;
abstrak ke dalam
dapatkanFuncCount ()
 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;
Daftar abstrak< NameAttrList >
dapatkan Daftar Fungsi ()
 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;
abstrak NameAttrListOrBuilder
getFuncOrBuilder (indeks int)
 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;
Daftar abstrak<? memperluas NameAttrListOrBuilder >
dapatkanFuncOrBuilderList ()
 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;
abstrak panjang
getI (indeks int)
 "list(int)"
 
repeated int64 i = 3 [packed = true];
abstrak ke dalam
dapatkanICcount ()
 "list(int)"
 
repeated int64 i = 3 [packed = true];
Daftar abstrak<Panjang>
dapatkanIList ()
 "list(int)"
 
repeated int64 i = 3 [packed = true];
abstrak com.google.protobuf.ByteString
getS (indeks int)
 "list(string)"
 
repeated bytes s = 2;
abstrak ke dalam
dapatkanSCcount ()
 "list(string)"
 
repeated bytes s = 2;
Daftar abstrak<ByteString>
dapatkanDaftar ()
 "list(string)"
 
repeated bytes s = 2;
TensorShapeProto abstrak
getShape (indeks int)
 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;
abstrak ke dalam
dapatkanBentukHitung ()
 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;
Daftar abstrak< TensorShapeProto >
dapatkanDaftarBentuk ()
 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder abstrak
getShapeOrBuilder (indeks int)
 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;
Daftar abstrak<? memperluas TensorShapeProtoOrBuilder >
dapatkanShapeOrBuilderList ()
 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;
TensorProto abstrak
getTensor (indeks int)
 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;
abstrak ke dalam
dapatkanTensorCount ()
 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;
Daftar abstrak< TensorProto >
dapatkanTensorList ()
 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;
TensorProtoOrBuilder abstrak
getTensorOrBuilder (indeks int)
 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;
Daftar abstrak<? memperluas TensorProtoOrBuilder >
dapatkanTensorOrBuilderList ()
 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;
Tipe Data abstrak
getType (indeks int)
 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];
abstrak ke dalam
dapatkanTypeCount ()
 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];
Daftar abstrak< Tipe Data >
dapatkanTypeList ()
 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];
abstrak ke dalam
getTypeValue (indeks int)
 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];
Daftar abstrak<Bilangan Bulat>
dapatkanTypeValueList ()
 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];

Metode Publik

boolean abstrak publik getB (indeks int)

 "list(bool)"
 
repeated bool b = 5 [packed = true];

abstrak publik int getBCount ()

 "list(bool)"
 
repeated bool b = 5 [packed = true];

Daftar abstrak publik<Boolean> getBList ()

 "list(bool)"
 
repeated bool b = 5 [packed = true];

abstrak publik float getF (indeks int)

 "list(float)"
 
repeated float f = 4 [packed = true];

abstrak publik int getFCount ()

 "list(float)"
 
repeated float f = 4 [packed = true];

Daftar abstrak publik<Float> getFList ()

 "list(float)"
 
repeated float f = 4 [packed = true];

abstrak publik NameAttrList getFunc (int indeks)

 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;

abstrak publik int getFuncCount ()

 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;

Daftar abstrak publik< NameAttrList > getFuncList ()

 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;

abstrak publik NameAttrListOrBuilder getFuncOrBuilder (int indeks)

 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;

Daftar abstrak publik<? memperluas NameAttrListOrBuilder > getFuncOrBuilderList ()

 "list(attr)"
 
repeated .tensorflow.NameAttrList func = 9;

getI panjang abstrak publik (indeks int)

 "list(int)"
 
repeated int64 i = 3 [packed = true];

abstrak publik int getICount ()

 "list(int)"
 
repeated int64 i = 3 [packed = true];

Daftar abstrak publik<Panjang> getIList ()

 "list(int)"
 
repeated int64 i = 3 [packed = true];

abstrak publik com.google.protobuf.ByteString getS (indeks int)

 "list(string)"
 
repeated bytes s = 2;

abstrak publik int getSCount ()

 "list(string)"
 
repeated bytes s = 2;

Daftar abstrak publik<ByteString> getSList ()

 "list(string)"
 
repeated bytes s = 2;

TensorShapeProto getShape abstrak publik (indeks int)

 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;

abstrak publik int getShapeCount ()

 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;

Daftar abstrak publik< TensorShapeProto > getShapeList ()

 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;

abstrak publik TensorShapeProtoOrBuilder getShapeOrBuilder (indeks int)

 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;

Daftar abstrak publik<? memperluas TensorShapeProtoOrBuilder > getShapeOrBuilderList ()

 "list(shape)"
 
repeated .tensorflow.TensorShapeProto shape = 7;

abstrak publik TensorProto getTensor (indeks int)

 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;

abstrak publik int getTensorCount ()

 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;

Daftar abstrak publik< TensorProto > getTensorList ()

 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;

abstrak publik TensorProtoOrBuilder getTensorOrBuilder (indeks int)

 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;

Daftar abstrak publik<? memperluas TensorProtoOrBuilder > getTensorOrBuilderList ()

 "list(tensor)"
 
repeated .tensorflow.TensorProto tensor = 8;

getType DataType abstrak publik (indeks int)

 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];

abstrak publik int getTypeCount ()

 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];

Daftar abstrak publik< Tipe Data > getTypeList ()

 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];

abstrak publik int getTypeValue (indeks int)

 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];

Daftar abstrak publik<Integer> getTypeValueList ()

 "list(type)"
 
repeated .tensorflow.DataType type = 6 [packed = true];