TensorFlow 14 Mayıs'ta Google I/O'ya geri döndü! Şimdi üye Ol

Bu sayfa, Cloud Translation API ile çevrilmiştir.

TensorProto.Builder

genel statik son sınıf TensorProto.Builder

 Protocol buffer representing a tensor.

Protobuf türü tensorflow.TensorProto

Genel Yöntemler

TensorProto.Builder	addAllBoolVal (Yinelenebilir<? Boolean> değerlerini genişletir) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addAllDcomplexVal (Yinelenebilir<? Double> değerleri genişletir) DT_COMPLEX128.
TensorProto.Builder	addAllDoubleVal (Yinelenebilir<? Double> değerleri genişletir) DT_DOUBLE.
TensorProto.Builder	addAllFloatVal (Yinelenebilir<? Float> değerlerini genişletir) DT_FLOAT.
TensorProto.Builder	addAllHalfVal (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addAllInt64Val (Yinelenebilir<? Long> değerleri genişletir) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addAllIntVal (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addAllResourceHandleVal (Yinelenebilir<?, ResourceHandleProto > değerlerini genişletir) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addAllScomplexVal (Yinelenebilir<? Float> değerlerini genişletir) DT_COMPLEX64.
TensorProto.Builder	addAllStringVal (Yinelenebilir<? ByteString> değerlerini genişletir) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addAllUint32Val (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addAllUint64Val (Yinelenebilir<? Long> değerleri genişletir) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addAllVariantVal (Yinelenebilir<? VariantTensorDataProto > değerlerini genişletir) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addBoolVal (boole değeri) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addDcomplexVal (çift değer) DT_COMPLEX128.
TensorProto.Builder	addDoubleVal (çift değer) DT_DOUBLE.
TensorProto.Builder	addFloatVal (değişken değer) DT_FLOAT.
TensorProto.Builder	addHalfVal (int değeri) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addInt64Val (uzun değer) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addIntVal (int değeri) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
TensorProto.Builder	addResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal (int dizini, ResourceHandleProto değeri) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal ( ResourceHandleProto değeri) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal ( ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	addResourceHandleValBuilder (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	addResourceHandleValBuilder () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addScomplexVal (değişken değer) DT_COMPLEX64.
TensorProto.Builder	addStringVal (com.google.protobuf.ByteString değeri) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addUint32Val (int değeri) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addUint64Val (uzun değer) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addVariantVal ( VariantTensorDataProto değeri) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (int dizini, VariantTensorDataProto değeri) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal ( VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProto.Builder	addVariantValBuilder (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProto.Builder	addVariantValBuilder () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto	inşa etmek ()
TensorProto	inşaKısmi ()
TensorProto.Builder	temizlemek ()
TensorProto.Builder	clearBoolVal () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	clearDcomplexVal () DT_COMPLEX128.
TensorProto.Builder	clearDoubleVal () DT_DOUBLE.
TensorProto.Builder	clearDtype () `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı)
TensorProto.Builder	clearFloatVal () DT_FLOAT.
TensorProto.Builder	clearHalfVal () DT_HALF, DT_BFLOAT16.
TensorProto.Builder	clearInt64Val () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	clearIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder	clearResourceHandleVal () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	clearScomplexVal () DT_COMPLEX64.
TensorProto.Builder	clearStringVal () DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	clearTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder	clearTensorShape () Shape of the tensor.
TensorProto.Builder	clearUint32Val () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	clearUint64Val () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	clearVariantVal () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	clearVersionNumber () Version number.
TensorProto.Builder	klon ()
boolean	getBoolVal (int dizini) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
int	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Liste<Boolean>	getBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
çift	getDcomplexVal (int dizini) DT_COMPLEX128.
int	getDcomplexValCount () DT_COMPLEX128.
Liste<Çift>	getDcomplexValList () DT_COMPLEX128.
TensorProto	getDefaultInstanceForType ()
final statik com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
çift	getDoubleVal (int dizini) DT_DOUBLE.
int	getDoubleValCount () DT_DOUBLE.
Liste<Çift>	getDoubleValList () DT_DOUBLE.
Veri tipi	getDtype () `.tensorflow.DataType dtype = 1;`
int	getDtypeValue () `.tensorflow.DataType dtype = 1;`
batmadan yüzmek	getFloatVal (int dizini) DT_FLOAT.
int	getFloatValCount () DT_FLOAT.
Liste<Kayandır>	getFloatValList () DT_FLOAT.
int	getHalfVal (int dizini) DT_HALF, DT_BFLOAT16.
int	getHalfValCount () DT_HALF, DT_BFLOAT16.
Liste<Tamsayı>	getHalfValList () DT_HALF, DT_BFLOAT16.
uzun	getInt64Val (int dizini) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Liste<Uzun>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int	getIntVal (int dizini) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Liste<Tamsayı>	getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
KaynakHandleProto	getResourceHandleVal (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	getResourceHandleValBuilder (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste< ResourceHandleProto.Builder >	getResourceHandleValBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
int	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste< ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste<? ResourceHandleProtoOrBuilder'ı genişletir >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
batmadan yüzmek	getScomplexVal (int dizini) DT_COMPLEX64.
int	getScomplexValCount () DT_COMPLEX64.
Liste<Kayandır>	getScomplexValList () DT_COMPLEX64.
com.google.protobuf.ByteString	getStringVal (int dizini) DT_STRING `repeated bytes string_val = 8;`
int	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Liste<ByteString>	getStringValList () DT_STRING `repeated bytes string_val = 8;`
com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto	getTensorShape () Shape of the tensor.
TensorShapeProto.Builder	getTensorShapeBuilder () Shape of the tensor.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
int	getUint32Val (int dizini) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
int	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Liste<Tamsayı>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
uzun	getUint64Val (int dizini) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
int	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Liste<Uzun>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
VariantTensorDataProto	getVariantVal (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProto.Builder	getVariantValBuilder (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Liste< VariantTensorDataProto.Builder >	getVariantValBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
int	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Listele< VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProtoOrBuilder	getVariantValOrBuilder (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Liste<? VariantTensorDataProtoOrBuilder'ı genişletiyor >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
int	getVersionNumber () Version number.
boolean	hasTensorShape () Shape of the tensor.
son boole değeri	Başlatıldı ()
TensorProto.Builder	mergeFrom (com.google.protobuf.Message other)
TensorProto.Builder	mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder	mergeTensorShape ( TensorShapeProto değeri) Shape of the tensor.
son TensorProto.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)
TensorProto.Builder	kaldırResourceHandleVal (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	kaldırVariantVal (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setBoolVal (int dizini, boolean değeri) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	setDcomplexVal (int indeksi, çift değer) DT_COMPLEX128.
TensorProto.Builder	setDoubleVal (int indeksi, çift değer) DT_DOUBLE.
TensorProto.Builder	setDtype ( Veri Türü değeri) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setDtypeValue (int değeri) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
TensorProto.Builder	setFloatVal (int indeksi, kayan nokta değeri) DT_FLOAT.
TensorProto.Builder	setHalfVal (int dizini, int değeri) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	setInt64Val (int dizini, uzun değer) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	setIntVal (int dizini, int değeri) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
TensorProto.Builder	setResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setResourceHandleVal (int dizini, ResourceHandleProto değeri) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setScomplexVal (int indeksi, kayan nokta değeri) DT_COMPLEX64.
TensorProto.Builder	setStringVal (int dizini, com.google.protobuf.ByteString değeri) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	setTensorContent (com.google.protobuf.ByteString değeri) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder	setTensorShape ( TensorShapeProto değeri) Shape of the tensor.
TensorProto.Builder	setTensorShape ( TensorShapeProto.Builder builderForValue) Shape of the tensor.
TensorProto.Builder	setUint32Val (int dizini, int değeri) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	setUint64Val (int dizini, uzun değer) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
son TensorProto.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmeyenFields)
TensorProto.Builder	setVariantVal (int dizini, VariantTensorDataProto değeri) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVersionNumber (int değeri) Version number.

Kalıtsal Yöntemler

Java.lang.Object sınıfından

boolean	eşittir (Nesne arg0)
son Sınıf<?>	getClass ()
int	hash kodu ()
son boşluk	bildir ()
son boşluk	tümünü bildir ()
Sicim	toString ()
son boşluk	bekle (uzun arg0, int arg1)
son boşluk	bekle (uzun arg0)
son boşluk	Beklemek ()

org.tensorflow.proto.framework.TensorProtoOrBuilder arayüzünden

soyut boole	getBoolVal (int dizini) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
soyut int	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
özet Listesi<Boolean>	getBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
soyut çift	getDcomplexVal (int dizini) DT_COMPLEX128.
soyut int	getDcomplexValCount () DT_COMPLEX128.
özet Listesi<Çift>	getDcomplexValList () DT_COMPLEX128.
soyut çift	getDoubleVal (int dizini) DT_DOUBLE.
soyut int	getDoubleValCount () DT_DOUBLE.
özet Listesi<Çift>	getDoubleValList () DT_DOUBLE.
özet Veri Türü	getDtype () `.tensorflow.DataType dtype = 1;`
soyut int	getDtypeValue () `.tensorflow.DataType dtype = 1;`
soyut kayan nokta	getFloatVal (int dizini) DT_FLOAT.
soyut int	getFloatValCount () DT_FLOAT.
özet Listesi<Float>	getFloatValList () DT_FLOAT.
soyut int	getHalfVal (int dizini) DT_HALF, DT_BFLOAT16.
soyut int	getHalfValCount () DT_HALF, DT_BFLOAT16.
özet Listesi<Tamsayı>	getHalfValList () DT_HALF, DT_BFLOAT16.
soyut uzun	getInt64Val (int dizini) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
soyut int	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Özet Listesi<Uzun>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
soyut int	getIntVal (int dizini) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
soyut int	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
özet Listesi<Tamsayı>	getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
özet KaynakHandleProto	getResourceHandleVal (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
soyut int	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
özet Listesi< ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
özet ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (int dizini) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Özet Liste<? ResourceHandleProtoOrBuilder'ı genişletir >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
soyut kayan nokta	getScomplexVal (int dizini) DT_COMPLEX64.
soyut int	getScomplexValCount () DT_COMPLEX64.
özet Listesi<Float>	getScomplexValList () DT_COMPLEX64.
abstract com.google.protobuf.ByteString	getStringVal (int dizini) DT_STRING `repeated bytes string_val = 8;`
soyut int	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
özet Listesi<ByteString>	getStringValList () DT_STRING `repeated bytes string_val = 8;`
abstract com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
soyut TensorShapeProto	getTensorShape () Shape of the tensor.
soyut TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
soyut int	getUint32Val (int dizini) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
soyut int	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
özet Listesi<Tamsayı>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
soyut uzun	getUint64Val (int dizini) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
soyut int	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Özet Listesi<Uzun>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
özet VariantTensorDataProto	getVariantVal (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
soyut int	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
özet Listesi< VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
özet VariantTensorDataProtoOrBuilder	getVariantValOrBuilder (int dizini) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Özet Liste<? VariantTensorDataProtoOrBuilder'ı genişletiyor >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
soyut int	getVersionNumber () Version number.
soyut boole	hasTensorShape () Shape of the tensor.

Genel Yöntemler

public TensorProto.Builder addAllBoolVal (Yinelenebilir<? Boolean> değerlerini genişletir)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addAllDcomplexVal (Yinelenebilir<? Double> değerlerini genişletir)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

public TensorProto.Builder addAllDoubleVal (Yinelenebilir<? Double> değerlerini genişletir)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder addAllFloatVal (Yinelenebilir<? Float> değerlerini genişletir)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder addAllHalfVal (Yinelenebilir<? Tamsayı> değerlerini genişletir)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

public TensorProto.Builder addAllInt64Val (Yinelenebilir<? Long> değerleri genişletir)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addAllIntVal (Yinelenebilir<? Tamsayı> değerlerini genişletir)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addAllResourceHandleVal (Yinelenebilir<?, ResourceHandleProto > değerlerini genişletir)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Yinelenebilir<? Float> değerlerini genişletir)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

public TensorProto.Builder addAllStringVal (Yinelenebilir<?, ByteString> değerlerini genişletir)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Yinelenebilir<? Tamsayı> değerlerini genişletir)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder addAllUint64Val (Yinelenebilir<? Extends Long> değerleri)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addAllVariantVal (Yinelenebilir<?, VariantTensorDataProto > değerlerini genişletir)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (boolean değeri)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addDcomplexVal (çift değer)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

public TensorProto.Builder addDoubleVal (çift değer)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder addFloatVal (değişken değer)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder addHalfVal (int değeri)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

public TensorProto.Builder addInt64Val (uzun değer)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addIntVal (int değeri)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

public TensorProto.Builder addResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (int dizini, ResourceHandleProto değeri)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal ( ResourceHandleProto değeri)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel ResourceHandleProto.Builder addResourceHandleValBuilder (int dizini)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel ResourceHandleProto.Builder addResourceHandleValBuilder ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addScomplexVal (kayan değer)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

genel TensorProto.Builder addStringVal (com.google.protobuf.ByteString değeri)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (int değeri)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder addUint64Val (uzun değer)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addVariantVal ( VariantTensorDataProto değeri)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel TensorProto.Builder addVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (int dizini, VariantTensorDataProto değeri)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel VariantTensorDataProto.Builder addVariantValBuilder (int dizini)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel VariantTensorDataProto.Builder addVariantValBuilder ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

herkese açık TensorProto yapısı ()

public TensorProto buildPartial ()

herkese açık TensorProto.Builder clear ()

herkese açık TensorProto.Builder clearBoolVal ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

herkese açık TensorProto.Builder clearDcomplexVal ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

herkese açık TensorProto.Builder clearDoubleVal ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

herkese açık TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

herkese açık TensorProto.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı)

herkese açık TensorProto.Builder clearFloatVal ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

herkese açık TensorProto.Builder clearHalfVal ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

herkese açık TensorProto.Builder clearInt64Val ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

herkese açık TensorProto.Builder clearIntVal ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

herkese açık TensorProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

herkese açık TensorProto.Builder clearResourceHandleVal ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

herkese açık TensorProto.Builder clearScomplexVal ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

herkese açık TensorProto.Builder clearStringVal ()

 DT_STRING

repeated bytes string_val = 8;

herkese açık TensorProto.Builder clearTensorContent ()

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.

bytes tensor_content = 4;

herkese açık TensorProto.Builder clearTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

herkese açık TensorProto.Builder clearUint32Val ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

genel TensorProto.Builder clearUint64Val ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

herkese açık TensorProto.Builder clearVariantVal ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

herkese açık TensorProto.Builder clearVersionNumber ()

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.

int32 version_number = 3;

genel TensorProto.Builder klonu ()

genel boolean getBoolVal (int dizini)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public int getBoolValCount ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

genel Liste<Boolean> getBoolValList ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

genel çift getDcomplexVal (int dizini)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

public int getDcomplexValCount ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

genel Liste<Double> getDcomplexValList ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

public TensorProto getDefaultInstanceForType ()

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

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

genel çift getDoubleVal (int dizini)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public int getDoubleValCount ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

genel Liste<Double> getDoubleValList ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

genel Veri Türü getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

halka açık kayan nokta getFloatVal (int dizini)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public int getFloatValCount ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

genel Liste<Float> getFloatValList ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public int getHalfVal (int dizini)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

public int getHalfValCount ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

genel Liste<Tamsayı> getHalfValList ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

genel uzun getInt64Val (int dizini)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

genel int getInt64ValCount ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

genel Liste<Long> getInt64ValList ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public int getIntVal (int dizini)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

genel int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

genel Liste<Tamsayı> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

genel ResourceHandleProto getResourceHandleVal (int dizini)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (int dizini)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel Liste< ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel Liste< ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int dizini)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel liste<? ResourceHandleProtoOrBuilder'ı genişletir > getResourceHandleValOrBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (int indeksi)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

public int getScomplexValCount ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

genel Liste<Float> getScomplexValList ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

public com.google.protobuf.ByteString getStringVal (int dizini)

 DT_STRING

repeated bytes string_val = 8;

public int getStringValCount ()

 DT_STRING

repeated bytes string_val = 8;

genel Liste<ByteString> getStringValList ()

 DT_STRING

repeated bytes string_val = 8;

public com.google.protobuf.ByteString getTensorContent ()

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.

bytes tensor_content = 4;

herkese açık TensorShapeProto getTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

herkese açık TensorShapeProto.Builder getTensorShapeBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

herkese açık TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

public int getUint32Val (int dizini)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

genel int getUint32ValCount ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

genel Liste<Tamsayı> getUint32ValList ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

genel uzun getUint64Val (int dizini)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

genel int getUint64ValCount ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

genel Liste<Long> getUint64ValList ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

genel VariantTensorDataProto getVariantVal (int dizini)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel VariantTensorDataProto.Builder getVariantValBuilder (int dizini)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel Liste< VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel Liste< VariantTensorDataProto > getVariantValList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int dizini)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel liste<? VariantTensorDataProtoOrBuilder'ı genişletir > getVariantValOrBuilderList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVersionNumber ()

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.

int32 version_number = 3;

genel boolean hasTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

genel final boolean isInitialized ()

herkese açık TensorProto.Builder mergeFrom (com.google.protobuf.Message other)

genel TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar

IO İstisnası

genel TensorProto.Builder mergeTensorShape ( TensorShapeProto değeri)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

genel final TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)

public TensorProto.Builder kaldırResourceHandleVal (int indeksi)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder kaldırVariantVal (int indeksi)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (int indeksi, boolean değeri)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder setDcomplexVal (int indeksi, çift değer)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.

repeated double dcomplex_val = 12 [packed = true];

public TensorProto.Builder setDoubleVal (int indeksi, çift değer)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder setDtype ( DataType değeri)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (int değeri)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

public TensorProto.Builder setFloatVal (int indeksi, kayan değer)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder setHalfVal (int dizini, int değeri)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.

repeated int32 half_val = 13 [packed = true];

public TensorProto.Builder setInt64Val (int indeksi, uzun değer)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder setIntVal (int dizini, int değeri)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)

public TensorProto.Builder setResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (int dizini, ResourceHandleProto değeri)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (int indeksi, kayan değer)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.

repeated float scomplex_val = 9 [packed = true];

public TensorProto.Builder setStringVal (int dizini, com.google.protobuf.ByteString değeri)

 DT_STRING

repeated bytes string_val = 8;

genel TensorProto.Builder setTensorContent (com.google.protobuf.ByteString değeri)

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.

bytes tensor_content = 4;

public TensorProto.Builder setTensorShape ( TensorShapeProto değeri)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

public tensorproto.builder settensorshape ( tensorshapeproto.builder builderforvalue)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

public tensorproto.builder setuint32val (int dizin, int değeri)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public tensorproto.builder setuint64val (int dizin, uzun değer)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

genel final tensorproto.builder setunknownfields (com.google.protobuf.unknownfieldset uncunwinfields)

public tensorproto.builder setVariaritval (int dizin, varyanttensorDataproto değeri)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public tensorproto.builder setVariaritval (int index, varyanttensorDataproto.Builder BuilderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public tensorproto.builder setversionNumber (int değeri)

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.

int32 version_number = 3;