AttrValue

public final class AttrValue 

 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

Nested Classes

class AttrValue.Builder 
 Protocol buffer representing the value for an attr used to configure an Op. 
class AttrValue.ListValue 
 LINT.IfChange
Protobuf type tensorflow.AttrValue.ListValue  
interface AttrValue.ListValueOrBuilder  
enum AttrValue.ValueCase  

Constants

int B_FIELD_NUMBER
int FUNC_FIELD_NUMBER
int F_FIELD_NUMBER
int I_FIELD_NUMBER
int LIST_FIELD_NUMBER
int PLACEHOLDER_FIELD_NUMBER
int SHAPE_FIELD_NUMBER
int S_FIELD_NUMBER
int TENSOR_FIELD_NUMBER
int TYPE_FIELD_NUMBER

Public Methods

boolean
equals(Object obj)
boolean
getB() 
 "bool"
bool b = 5;
static AttrValue
getDefaultInstance()
AttrValue
getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
float
getF() 
 "float"
float f = 4;
NameAttrList
getFunc() 
 "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.ListValueOrBuilder
getListOrBuilder() 
 any "list(...)"
.tensorflow.AttrValue.ListValue list = 1;
getParserForType()
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;
int
getSerializedSize()
TensorShapeProto
getShape() 
 "shape"
.tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder
getShapeOrBuilder() 
 "shape"
.tensorflow.TensorShapeProto shape = 7;
TensorProto
getTensor() 
 "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;
final com.google.protobuf.UnknownFieldSet
getUnknownFields()
AttrValue.ValueCase
getValueCase()
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;
int
hashCode()
final boolean
isInitialized()
static AttrValue.Builder
newBuilder(AttrValue prototype)
static AttrValue.Builder
newBuilder()
AttrValue.Builder
newBuilderForType()
static AttrValue
parseDelimitedFrom(InputStream input)
static AttrValue
parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AttrValue
parseFrom(ByteBuffer data)
static AttrValue
parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AttrValue
parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AttrValue
parseFrom(com.google.protobuf.CodedInputStream input)
static AttrValue
parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AttrValue
parseFrom(com.google.protobuf.ByteString data)
static AttrValue
parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AttrValue
parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static
parser()
AttrValue.Builder
toBuilder()
void
writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

Constants

public static final int B_FIELD_NUMBER

Constant Value: 5

public static final int FUNC_FIELD_NUMBER

Constant Value: 10

public static final int F_FIELD_NUMBER

Constant Value: 4

public static final int I_FIELD_NUMBER

Constant Value: 3

public static final int LIST_FIELD_NUMBER

Constant Value: 1

public static final int PLACEHOLDER_FIELD_NUMBER

Constant Value: 9

public static final int SHAPE_FIELD_NUMBER

Constant Value: 7

public static final int S_FIELD_NUMBER

Constant Value: 2

public static final int TENSOR_FIELD_NUMBER

Constant Value: 8

public static final int TYPE_FIELD_NUMBER

Constant Value: 6

Public Methods

public boolean equals (Object obj)

public boolean getB () 

 "bool"
bool b = 5;

public static AttrValue getDefaultInstance ()

public AttrValue getDefaultInstanceForType ()

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

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 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.ListValueOrBuilder getListOrBuilder () 

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

public getParserForType ()

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 int getSerializedSize ()

public TensorShapeProto getShape () 

 "shape"
.tensorflow.TensorShapeProto shape = 7;

public TensorShapeProtoOrBuilder getShapeOrBuilder () 

 "shape"
.tensorflow.TensorShapeProto shape = 7;

public TensorProto getTensor () 

 "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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

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 int hashCode ()

public final boolean isInitialized ()

public static AttrValue.Builder newBuilder (AttrValue prototype)

public static AttrValue.Builder newBuilder ()

public AttrValue.Builder newBuilderForType ()

public static AttrValue parseDelimitedFrom (InputStream input)

Throws
IOException

public static AttrValue parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static AttrValue parseFrom (ByteBuffer data)

Throws
InvalidProtocolBufferException

public static AttrValue parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static AttrValue parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static AttrValue parseFrom (com.google.protobuf.CodedInputStream input)

Throws
IOException

public static AttrValue parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static AttrValue parseFrom (com.google.protobuf.ByteString data)

Throws
InvalidProtocolBufferException

public static AttrValue parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static AttrValue parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static parser ()

public AttrValue.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws
IOException