TensorFlow est de retour sur Google I/O le 14 mai ! S'inscrire maintenant

Cette page a été traduite par l'API Cloud Translation.

TensorProto.Builder

classe finale statique publique TensorProto.Builder

 Protocol buffer representing a tensor.

de type tensorflow.TensorProto

Méthodes publiques

TensorProto.Builder	addAllBoolVal (Iterable<? extends Boolean> valeurs) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addAllDcomplexVal (Iterable<? extends Double> valeurs) DT_COMPLEX128.
TensorProto.Builder	addAllDoubleVal (Iterable<? extends Double> valeurs) DT_DOUBLE.
TensorProto.Builder	addAllFloatVal (Iterable<? extends Float> valeurs) DT_FLOAT.
TensorProto.Builder	addAllHalfVal (Iterable<? extends Integer> valeurs) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addAllInt64Val (Iterable<? extends Long> valeurs) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addAllIntVal (Iterable<? extends Integer> valeurs) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addAllResourceHandleVal (Iterable<? extends ResourceHandleProto > valeurs) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addAllScomplexVal (Iterable<? extends Float> valeurs) DT_COMPLEX64.
TensorProto.Builder	addAllStringVal (valeurs Iterable<? extends ByteString>) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addAllUint32Val (Iterable<? extends Integer> valeurs) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addAllUint64Val (valeurs Iterable<? extends Long>) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addAllVariantVal (Iterable<? extends VariantTensorDataProto > valeurs) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addBoolVal (valeur booléenne) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addDcomplexVal (valeur double) DT_COMPLEX128.
TensorProto.Builder	addDoubleVal (valeur double) DT_DOUBLE.
TensorProto.Builder	addFloatVal (valeur flottante) DT_FLOAT.
TensorProto.Builder	addHalfVal (valeur entière) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addInt64Val (valeur longue) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addIntVal (valeur entière) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
TensorProto.Builder	addResourceHandleVal (index int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal (index int, valeur ResourceHandleProto ) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal (valeur ResourceHandleProto ) 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 (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	addResourceHandleValBuilder () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addScomplexVal (valeur flottante) DT_COMPLEX64.
TensorProto.Builder	addStringVal (valeur com.google.protobuf.ByteString) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addUint32Val (valeur entière) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addUint64Val (valeur longue) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addVariantVal (valeur VariantTensorDataProto ) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (index int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (index int, valeur VariantTensorDataProto ) 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 (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProto.Builder	addVariantValBuilder () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto	construire ()
TensorProto	buildPartial ()
TensorProto.Builder	clair ()
TensorProto.Builder	clearBoolVal () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	clearDcomplexVal () DT_COMPLEX128.
TensorProto.Builder	clearDoubleVal () DT_DOUBLE.
TensorProto.Builder	typeDclair () `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
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	effacer le numéro de version () Version number.
TensorProto.Builder	cloner ()
booléen	getBoolVal (index entier) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
int	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Liste<Booléen>	getBoolValListe () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
double	getDcomplexVal (index int) DT_COMPLEX128.
int	getDcomplexValCount () DT_COMPLEX128.
Liste<Double>	getDcomplexValList () DT_COMPLEX128.
TensorProto	getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
double	getDoubleVal (index entier) DT_DOUBLE.
int	getDoubleValCount () DT_DOUBLE.
Liste<Double>	getDoubleValListe () DT_DOUBLE.
Type de données	getDtype () `.tensorflow.DataType dtype = 1;`
int	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flotter	getFloatVal (index int) DT_FLOAT.
int	getFloatValCount () DT_FLOAT.
Liste<Flottant>	getFloatValList () DT_FLOAT.
int	getHalfVal (index int) DT_HALF, DT_BFLOAT16.
int	getHalfValCount () DT_HALF, DT_BFLOAT16.
Liste<Entier>	getHalfValListe () DT_HALF, DT_BFLOAT16.
long	getInt64Val (index int) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Liste<Long>	getInt64ValListe () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int	getIntVal (index entier) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Liste<Entier>	getIntValListe () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto	getResourceHandleVal (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	getResourceHandleValBuilder (index int) 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 (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste<? étend ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flotter	getScomplexVal (index int) DT_COMPLEX64.
int	getScomplexValCount () DT_COMPLEX64.
Liste<Flottant>	getScomplexValList () DT_COMPLEX64.
com.google.protobuf.ByteString	getStringVal (index int) DT_STRING `repeated bytes string_val = 8;`
int	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Liste<ByteString>	getStringValListe () 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 (index int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
int	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Liste<Entier>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
long	getUint64Val (index int) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
int	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Liste<Long>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
VariantTensorDataProto	getVariantVal (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProto.Builder	getVariantValBuilder (index int) 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;`
Liste < VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VariantTensorDataProtoOrBuilder	getVariantValOrBuilder (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Liste<? étend VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
int	obtenir le numéro de version () Version number.
booléen	hasTensorShape () Shape of the tensor.
booléen final	estInitialisé ()
TensorProto.Builder	mergeFrom (com.google.protobuf.Message autre)
TensorProto.Builder	mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder	mergeTensorShape (valeur TensorShapeProto ) Shape of the tensor.
TensorProto.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
TensorProto.Builder	RemoveResourceHandleVal (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	RemoveVariantVal (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setBoolVal (index int, valeur booléenne) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	setDcomplexVal (index int, valeur double) DT_COMPLEX128.
TensorProto.Builder	setDoubleVal (index int, valeur double) DT_DOUBLE.
TensorProto.Builder	setDtype (valeur DataType ) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setDtypeValue (valeur entière) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
TensorProto.Builder	setFloatVal (index int, valeur flottante) DT_FLOAT.
TensorProto.Builder	setHalfVal (index int, valeur int) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	setInt64Val (index int, valeur longue) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	setIntVal (index int, valeur int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
TensorProto.Builder	setResourceHandleVal (index int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setResourceHandleVal (index int, valeur ResourceHandleProto ) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setScomplexVal (index int, valeur flottante) DT_COMPLEX64.
TensorProto.Builder	setStringVal (index int, valeur com.google.protobuf.ByteString) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	setTensorContent (valeur com.google.protobuf.ByteString) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder	setTensorShape (valeur TensorShapeProto ) Shape of the tensor.
TensorProto.Builder	setTensorShape ( TensorShapeProto.Builder builderForValue) Shape of the tensor.
TensorProto.Builder	setUint32Val (index int, valeur int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	setUint64Val (index int, valeur longue) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
TensorProto.Builder	setVariantVal (index int, valeur VariantTensorDataProto ) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVariantVal (index int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVersionNumber (valeur entière) Version number.

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.TensorProtoOrBuilder

booléen abstrait	getBoolVal (index entier) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
abstrait entier	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Liste abstraite<Boolean>	getBoolValListe () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
double abstrait	getDcomplexVal (index int) DT_COMPLEX128.
abstrait entier	getDcomplexValCount () DT_COMPLEX128.
Liste abstraite<Double>	getDcomplexValList () DT_COMPLEX128.
double abstrait	getDoubleVal (index entier) DT_DOUBLE.
abstrait entier	getDoubleValCount () DT_DOUBLE.
Liste abstraite<Double>	getDoubleValListe () DT_DOUBLE.
Type de données abstrait	getDtype () `.tensorflow.DataType dtype = 1;`
abstrait entier	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flotteur abstrait	getFloatVal (index int) DT_FLOAT.
abstrait entier	getFloatValCount () DT_FLOAT.
Liste abstraite<Float>	getFloatValList () DT_FLOAT.
abstrait entier	getHalfVal (index int) DT_HALF, DT_BFLOAT16.
abstrait entier	getHalfValCount () DT_HALF, DT_BFLOAT16.
Liste abstraite<Integer>	getHalfValListe () DT_HALF, DT_BFLOAT16.
abstrait long	getInt64Val (index int) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
abstrait entier	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Liste abstraite<Long>	getInt64ValListe () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
abstrait entier	getIntVal (index entier) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstrait entier	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Liste abstraite<Integer>	getIntValListe () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
résumé ResourceHandleProto	getResourceHandleVal (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
abstrait entier	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste abstraite < ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
résumé ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (index int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Liste abstraite <? étend ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flotteur abstrait	getScomplexVal (index int) DT_COMPLEX64.
abstrait entier	getScomplexValCount () DT_COMPLEX64.
Liste abstraite<Float>	getScomplexValList () DT_COMPLEX64.
résumé com.google.protobuf.ByteString	getStringVal (index int) DT_STRING `repeated bytes string_val = 8;`
abstrait entier	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Liste abstraite<ByteString>	getStringValListe () DT_STRING `repeated bytes string_val = 8;`
résumé com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto abstrait	getTensorShape () Shape of the tensor.
abstrait TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
abstrait entier	getUint32Val (index int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
abstrait entier	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Liste abstraite<Integer>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
abstrait long	getUint64Val (index int) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
abstrait entier	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Liste abstraite<Long>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
abstrait VariantTensorDataProto	getVariantVal (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
abstrait entier	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Liste abstraite < VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
abstrait VariantTensorDataProtoOrBuilder	getVariantValOrBuilder (index int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Liste abstraite <? étend VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
abstrait entier	obtenir le numéro de version () Version number.
booléen abstrait	hasTensorShape () Shape of the tensor.

Méthodes publiques

public TensorProto.Builder addAllBoolVal (Iterable<? extends Boolean> valeurs)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addAllDcomplexVal (Iterable<? extends Double> valeurs)

 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 (Iterable<? extends Double> valeurs)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder addAllFloatVal (Iterable<? extends Float> valeurs)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder addAllHalfVal (Iterable<? extends Integer> valeurs)

 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 (Iterable<? extends Long> valeurs)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addAllIntVal (Iterable<? extends Integer> valeurs)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addAllResourceHandleVal (Iterable <? étend ResourceHandleProto > valeurs)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Iterable<? extends Float> valeurs)

 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 (Iterable<? extends ByteString> valeurs)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? extends Integer> valeurs)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder addAllUint64Val (Iterable<? extends Long> valeurs)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addAllVariantVal (Iterable<? étend VariantTensorDataProto > valeurs)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (valeur booléenne)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addDcomplexVal (valeur double)

 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 (valeur double)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder addFloatVal (valeur flottante)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder addHalfVal (valeur int)

 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 (valeur longue)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addIntVal (valeur int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

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

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (index int, valeur ResourceHandleProto )

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (valeur ResourceHandleProto )

 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;

public ResourceHandleProto.Builder addResourceHandleValBuilder (index int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addScomplexVal (valeur flottante)

 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 addStringVal (valeur com.google.protobuf.ByteString)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (valeur int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder addUint64Val (valeur longue)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addVariantVal (valeur VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (index int, VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (index int, valeur VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder (index int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

build public TensorProto ()

public TensorProto buildPartial ()

public TensorProto.Builder clear ()

public TensorProto.Builder clearBoolVal ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public 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];

public TensorProto.Builder clearDoubleVal ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

public TensorProto.Builder clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)

public TensorProto.Builder clearFloatVal ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public 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];

public TensorProto.Builder clearInt64Val ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder clearIntVal ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

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

public TensorProto.Builder clearResourceHandleVal ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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];

public TensorProto.Builder clearStringVal ()

 DT_STRING

repeated bytes string_val = 8;

public 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;

public TensorProto.Builder clearTensorShape ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

public TensorProto.Builder clearUint32Val ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder clearUint64Val ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder clearVariantVal ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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;

Clone public TensorProto.Builder ()

public booléen getBoolVal (index int)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public int getBoolValCount ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

liste publique<Boolean> getBoolValList ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public double getDcomplexVal (index int)

 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];

liste publique<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 statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public double getDoubleVal (index int)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public int getDoubleValCount ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

liste publique<Double> getDoubleValList ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

Type de données public getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public float getFloatVal (index int)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public int getFloatValCount ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

liste publique<Float> getFloatValList ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public int getHalfVal (index int)

 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];

liste publique<Integer> 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];

public long getInt64Val (index int)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public int getInt64ValCount ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

liste publique<Long> getInt64ValList ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public int getIntVal (index int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

liste publique<Integer> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public ResourceHandleProto getResourceHandleVal (index int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (index int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

liste publique < ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

liste publique < ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (index int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Liste publique <? étend ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (index int)

 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];

liste publique<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 (index int)

 DT_STRING

repeated bytes string_val = 8;

public int getStringValCount ()

 DT_STRING

repeated bytes string_val = 8;

liste publique <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;

public TensorShapeProto getTensorShape ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

public TensorShapeProto.Builder getTensorShapeBuilder ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

public int getUint32Val (index int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public int getUint32ValCount ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

liste publique<Integer> getUint32ValList ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public long getUint64Val (index int)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public int getUint64ValCount ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

liste publique<Long> getUint64ValList ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public VariantTensorDataProto getVariantVal (index int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder getVariantValBuilder (index int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

liste publique < VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

liste publique < VariantTensorDataProto > getVariantValList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (index int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Liste publique <? étend VariantTensorDataProtoOrBuilder > 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;

public booléen hasTensorShape ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

public final booléen isInitialized ()

public TensorProto.Builder mergeFrom (com.google.protobuf.Message autre)

public TensorProto.Builder mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public TensorProto.Builder mergeTensorShape (valeur TensorShapeProto )

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

.tensorflow.TensorShapeProto tensor_shape = 2;

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

public TensorProto.Builder removeResourceHandleVal (index int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder removeVariantVal (index int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (index int, valeur booléenne)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder setDcomplexVal (index int, valeur double)

 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 (index int, valeur double)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder setDtype (valeur DataType )

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (valeur int)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public TensorProto.Builder setFloatVal (index int, valeur flottante)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder setHalfVal (index int, valeur int)

 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 (index int, valeur longue)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder setIntVal (index int, valeur int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

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

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (index int, valeur ResourceHandleProto )

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (index int, valeur flottante)

 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 (index int, valeur com.google.protobuf.ByteString)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder setTensorContent (valeur com.google.protobuf.ByteString)

 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 (valeur TensorShapeProto )

 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 (index int, valeur int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder setUint64Val (index int, valeur longue)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

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

public TensorProto.Builder setVariantVal (index int, valeur VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVariantVal (index int, VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVersionNumber (valeur int)

 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;