AttrValueOrBuilder

antarmuka publik AttrValueOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

boolean abstrak
dapatkanB ()
 "bool"
bool b = 5;
pelampung abstrak
dapatkanF ()
 "float"
float f = 4;
abstrak NameAttrList
dapatkan Fungsi ()
 "func" represents a function.
abstrak NameAttrListOrBuilder
dapatkanFuncOrBuilder ()
 "func" represents a function.
abstrak panjang
dapatkan saya ()
 "int"
int64 i = 3;
abstrak AttrValue.ListValue
dapatkanDaftar ()
 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;
abstrak AttrValue.ListValueOrBuilder
dapatkanListOrBuilder ()
 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;
Tali abstrak
dapatkan Placeholder ()
 This is a placeholder only used in nodes defined inside a
 function.
abstrak com.google.protobuf.ByteString
dapatkanPlaceholderBytes ()
 This is a placeholder only used in nodes defined inside a
 function.
abstrak com.google.protobuf.ByteString
mendapat ()
 "string"
bytes s = 2;
TensorShapeProto abstrak
dapatkanBentuk ()
 "shape"
.tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder abstrak
dapatkanBentukOrBuilder ()
 "shape"
.tensorflow.TensorShapeProto shape = 7;
TensorProto abstrak
dapatkan Tensor ()
 "tensor"
.tensorflow.TensorProto tensor = 8;
TensorProtoOrBuilder abstrak
dapatkanTensorOrBuilder ()
 "tensor"
.tensorflow.TensorProto tensor = 8;
Tipe Data abstrak
dapatkan Tipe ()
 "type"
.tensorflow.DataType type = 6;
abstrak ke dalam
dapatkanTypeValue ()
 "type"
.tensorflow.DataType type = 6;
abstrak AttrValue.ValueCase
dapatkanValueCase ()
boolean abstrak
memilikiFunc ()
 "func" represents a function.
boolean abstrak
memilikiDaftar ()
 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;
boolean abstrak
memilikiBentuk ()
 "shape"
.tensorflow.TensorShapeProto shape = 7;
boolean abstrak
memiliki Tensor ()
 "tensor"
.tensorflow.TensorProto tensor = 8;

Metode Publik

boolean abstrak publik getB () 

 "bool"
bool b = 5;

abstrak publik float getF () 

 "float"
float f = 4;

abstrak publik NameAttrList getFunc () 

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
.tensorflow.NameAttrList func = 10;

abstrak publik NameAttrListOrBuilder getFuncOrBuilder () 

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
.tensorflow.NameAttrList func = 10;

abstrak publik getI panjang () 

 "int"
int64 i = 3;

abstrak publik AttrValue.ListValue getList () 

 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;

abstrak publik AttrValue.ListValueOrBuilder getListOrBuilder () 

 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;

abstrak publik String getPlaceholder () 

 This is a placeholder only used in nodes defined inside a
 function.  It indicates the attr value will be supplied when
 the function is instantiated.  For example, let us suppose a
 node "N" in function "FN". "N" has an attr "A" with value
 placeholder = "foo". When FN is instantiated with attr "foo"
 set to "bar", the instantiated node N's attr A will have been
 given the value "bar".
string placeholder = 9;

abstrak publik com.google.protobuf.ByteString getPlaceholderBytes () 

 This is a placeholder only used in nodes defined inside a
 function.  It indicates the attr value will be supplied when
 the function is instantiated.  For example, let us suppose a
 node "N" in function "FN". "N" has an attr "A" with value
 placeholder = "foo". When FN is instantiated with attr "foo"
 set to "bar", the instantiated node N's attr A will have been
 given the value "bar".
string placeholder = 9;

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

 "string"
bytes s = 2;

TensorShapeProto getShape abstrak publik () 

 "shape"
.tensorflow.TensorShapeProto shape = 7;

abstrak publik TensorShapeProtoOrBuilder getShapeOrBuilder () 

 "shape"
.tensorflow.TensorShapeProto shape = 7;

TensorProto abstrak publik getTensor () 

 "tensor"
.tensorflow.TensorProto tensor = 8;

abstrak publik TensorProtoOrBuilder getTensorOrBuilder () 

 "tensor"
.tensorflow.TensorProto tensor = 8;

Tipe Data abstrak publik getType () 

 "type"
.tensorflow.DataType type = 6;

abstrak publik int getTypeValue () 

 "type"
.tensorflow.DataType type = 6;

abstrak publik AttrValue.ValueCase getValueCase ()

boolean abstrak publik hasFunc () 

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
.tensorflow.NameAttrList func = 10;

boolean abstrak publik hasList () 

 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;

boolean abstrak publik hasShape () 

 "shape"
.tensorflow.TensorShapeProto shape = 7;

boolean abstrak publik hasTensor () 

 "tensor"
.tensorflow.TensorProto tensor = 8;