AttrValue.Builder

public static final class AttrValue.Builder

 Protocol buffer representing the value for an attr used to configure an Op.
 Comment indicates the corresponding attr type.  Only the field matching the
 attr type may be filled.
 
Protobuf type tensorflow.AttrValue

Public Methods

AttrValue.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AttrValue
build()
AttrValue
AttrValue.Builder
clear()
AttrValue.Builder
clearB()
 "bool"
 
bool b = 5;
AttrValue.Builder
clearF()
 "float"
 
float f = 4;
AttrValue.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
AttrValue.Builder
clearFunc()
 "func" represents a function.
AttrValue.Builder
clearI()
 "int"
 
int64 i = 3;
AttrValue.Builder
clearList()
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
AttrValue.Builder
clearPlaceholder()
 This is a placeholder only used in nodes defined inside a
 function.
AttrValue.Builder
clearS()
 "string"
 
bytes s = 2;
AttrValue.Builder
clearShape()
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder
clearTensor()
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
AttrValue.Builder
clearType()
 "type"
 
.tensorflow.DataType type = 6;
AttrValue.Builder
AttrValue.Builder
clone()
boolean
getB()
 "bool"
 
bool b = 5;
AttrValue
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
float
getF()
 "float"
 
float f = 4;
NameAttrList
getFunc()
 "func" represents a function.
NameAttrList.Builder
getFuncBuilder()
 "func" represents a function.
NameAttrListOrBuilder
getFuncOrBuilder()
 "func" represents a function.
long
getI()
 "int"
 
int64 i = 3;
AttrValue.ListValue
getList()
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.ListValue.Builder
getListBuilder()
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.ListValueOrBuilder
getListOrBuilder()
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
String
getPlaceholder()
 This is a placeholder only used in nodes defined inside a
 function.
com.google.protobuf.ByteString
getPlaceholderBytes()
 This is a placeholder only used in nodes defined inside a
 function.
com.google.protobuf.ByteString
getS()
 "string"
 
bytes s = 2;
TensorShapeProto
getShape()
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
TensorShapeProto.Builder
getShapeBuilder()
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder
getShapeOrBuilder()
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
TensorProto
getTensor()
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
TensorProto.Builder
getTensorBuilder()
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
TensorProtoOrBuilder
getTensorOrBuilder()
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
DataType
getType()
 "type"
 
.tensorflow.DataType type = 6;
int
getTypeValue()
 "type"
 
.tensorflow.DataType type = 6;
AttrValue.ValueCase
boolean
hasFunc()
 "func" represents a function.
boolean
hasList()
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
boolean
hasShape()
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
boolean
hasTensor()
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
final boolean
AttrValue.Builder
mergeFrom(com.google.protobuf.Message other)
AttrValue.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AttrValue.Builder
mergeFunc(NameAttrList value)
 "func" represents a function.
AttrValue.Builder
mergeList(AttrValue.ListValue value)
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder
mergeShape(TensorShapeProto value)
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder
mergeTensor(TensorProto value)
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
final AttrValue.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
AttrValue.Builder
setB(boolean value)
 "bool"
 
bool b = 5;
AttrValue.Builder
setF(float value)
 "float"
 
float f = 4;
AttrValue.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AttrValue.Builder
setFunc(NameAttrList.Builder builderForValue)
 "func" represents a function.
AttrValue.Builder
setFunc(NameAttrList value)
 "func" represents a function.
AttrValue.Builder
setI(long value)
 "int"
 
int64 i = 3;
AttrValue.Builder
setList(AttrValue.ListValue value)
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder
setList(AttrValue.ListValue.Builder builderForValue)
 any "list(...)"
 
.tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder
setPlaceholder(String value)
 This is a placeholder only used in nodes defined inside a
 function.
AttrValue.Builder
setPlaceholderBytes(com.google.protobuf.ByteString value)
 This is a placeholder only used in nodes defined inside a
 function.
AttrValue.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
AttrValue.Builder
setS(com.google.protobuf.ByteString value)
 "string"
 
bytes s = 2;
AttrValue.Builder
setShape(TensorShapeProto value)
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder
setShape(TensorShapeProto.Builder builderForValue)
 "shape"
 
.tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder
setTensor(TensorProto.Builder builderForValue)
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
AttrValue.Builder
setTensor(TensorProto value)
 "tensor"
 
.tensorflow.TensorProto tensor = 8;
AttrValue.Builder
setType(DataType value)
 "type"
 
.tensorflow.DataType type = 6;
AttrValue.Builder
setTypeValue(int value)
 "type"
 
.tensorflow.DataType type = 6;
final AttrValue.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

public AttrValue.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public AttrValue build ()

public AttrValue buildPartial ()

public AttrValue.Builder clear ()

public AttrValue.Builder clearB ()

 "bool"
 
bool b = 5;

public AttrValue.Builder clearF ()

 "float"
 
float f = 4;

public AttrValue.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor field)

public AttrValue.Builder clearFunc ()

 "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;

public AttrValue.Builder clearI ()

 "int"
 
int64 i = 3;

public AttrValue.Builder clearList ()

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

public AttrValue.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public AttrValue.Builder clearPlaceholder ()

 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;

public AttrValue.Builder clearS ()

 "string"
 
bytes s = 2;

public AttrValue.Builder clearShape ()

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public AttrValue.Builder clearTensor ()

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public AttrValue.Builder clearType ()

 "type"
 
.tensorflow.DataType type = 6;

public AttrValue.Builder clearValue ()

public AttrValue.Builder clone ()

public boolean getB ()

 "bool"
 
bool b = 5;

public AttrValue getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public float getF ()

 "float"
 
float f = 4;

public 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;

public NameAttrList.Builder getFuncBuilder ()

 "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;

public 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;

public long getI ()

 "int"
 
int64 i = 3;

public AttrValue.ListValue getList ()

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

public AttrValue.ListValue.Builder getListBuilder ()

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

public AttrValue.ListValueOrBuilder getListOrBuilder ()

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

public 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;

public 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;

public com.google.protobuf.ByteString getS ()

 "string"
 
bytes s = 2;

public TensorShapeProto getShape ()

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public TensorShapeProto.Builder getShapeBuilder ()

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public TensorProto getTensor ()

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public TensorProto.Builder getTensorBuilder ()

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public TensorProtoOrBuilder getTensorOrBuilder ()

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public DataType getType ()

 "type"
 
.tensorflow.DataType type = 6;

public int getTypeValue ()

 "type"
 
.tensorflow.DataType type = 6;

public AttrValue.ValueCase getValueCase ()

public boolean 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;

public boolean hasList ()

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

public boolean hasShape ()

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public boolean hasTensor ()

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public final boolean isInitialized ()

public AttrValue.Builder mergeFrom (com.google.protobuf.Message other)

public AttrValue.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public AttrValue.Builder mergeFunc (NameAttrList value)

 "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;

public AttrValue.Builder mergeList (AttrValue.ListValue value)

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

public AttrValue.Builder mergeShape (TensorShapeProto value)

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public AttrValue.Builder mergeTensor (TensorProto value)

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public final AttrValue.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public AttrValue.Builder setB (boolean value)

 "bool"
 
bool b = 5;

public AttrValue.Builder setF (float value)

 "float"
 
float f = 4;

public AttrValue.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public AttrValue.Builder setFunc (NameAttrList.Builder builderForValue)

 "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;

public AttrValue.Builder setFunc (NameAttrList value)

 "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;

public AttrValue.Builder setI (long value)

 "int"
 
int64 i = 3;

public AttrValue.Builder setList (AttrValue.ListValue value)

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

public AttrValue.Builder setList (AttrValue.ListValue.Builder builderForValue)

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

public AttrValue.Builder setPlaceholder (String value)

 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;

public AttrValue.Builder setPlaceholderBytes (com.google.protobuf.ByteString value)

 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;

public AttrValue.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

public AttrValue.Builder setS (com.google.protobuf.ByteString value)

 "string"
 
bytes s = 2;

public AttrValue.Builder setShape (TensorShapeProto value)

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public AttrValue.Builder setShape (TensorShapeProto.Builder builderForValue)

 "shape"
 
.tensorflow.TensorShapeProto shape = 7;

public AttrValue.Builder setTensor (TensorProto.Builder builderForValue)

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public AttrValue.Builder setTensor (TensorProto value)

 "tensor"
 
.tensorflow.TensorProto tensor = 8;

public AttrValue.Builder setType (DataType value)

 "type"
 
.tensorflow.DataType type = 6;

public AttrValue.Builder setTypeValue (int value)

 "type"
 
.tensorflow.DataType type = 6;

public final AttrValue.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)