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TensorProto.Builder

clase final estática pública TensorProto.Builder

 Protocol buffer representing a tensor.

Protobuf tipo tensorflow.TensorProto

Métodos públicos

TensorProto.Builder	addAllBoolVal (Iterable<? extiende valores booleanos>) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addAllDcomplexVal (Iterable<? extiende los valores Double>) DT_COMPLEX128.
TensorProto.Builder	addAllDoubleVal (Iterable<? extiende los valores Double>) DT_DOUBLE.
TensorProto.Builder	addAllFloatVal (Iterable<? extiende los valores Float>) DT_FLOAT.
TensorProto.Builder	addAllHalfVal (Iterable<? extiende valores enteros>) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addAllInt64Val (Iterable<? extiende valores largos>) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addAllIntVal (Iterable<? extiende valores enteros>) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addAllResourceHandleVal (Iterable<? extiende los valores de ResourceHandleProto >) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addAllScomplexVal (Iterable<? extiende los valores Float>) DT_COMPLEX64.
TensorProto.Builder	addAllStringVal (Iterable<? extiende los valores de ByteString>) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addAllUint32Val (Iterable<? extiende valores enteros>) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addAllUint64Val (Iterable<? extiende valores largos>) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addAllVariantVal (Iterable<? extiende los valores VariantTensorDataProto >) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addBoolVal (valor booleano) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	addDcomplexVal (valor doble) DT_COMPLEX128.
TensorProto.Builder	addDoubleVal (valor doble) DT_DOUBLE.
TensorProto.Builder	addFloatVal (valor flotante) DT_FLOAT.
TensorProto.Builder	addHalfVal (valor int) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	addInt64Val (valor largo) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	addIntVal (valor int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
TensorProto.Builder	addResourceHandleVal (índice int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal (índice int, valor ResourceHandleProto ) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal (valor ResourceHandleProto ) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addResourceHandleVal ( ResourceHandleProto.Builder constructorForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	addResourceHandleValBuilder (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	agregarResourceHandleValBuilder () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	addScomplexVal (valor flotante) DT_COMPLEX64.
TensorProto.Builder	addStringVal (valor com.google.protobuf.ByteString) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	addUint32Val (valor int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	addUint64Val (valor largo) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder	addVariantVal (valor VariantTensorDataProto ) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (índice int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal (índice int, valor VariantTensorDataProto ) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	addVariantVal ( VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VarianteTensorDataProto.Builder	addVariantValBuilder (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VarianteTensorDataProto.Builder	agregarVariantValBuilder () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto	construir ()
TensorProto	construirPartial ()
TensorProto.Builder	claro ()
TensorProto.Builder	borrarBoolVal () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	clearDcomplexVal () DT_COMPLEX128.
TensorProto.Builder	borrarDobleVal () DT_DOUBLE.
TensorProto.Builder	tipo claro () `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder	borrarValFloat () DT_FLOAT.
TensorProto.Builder	borrarHalfVal () DT_HALF, DT_BFLOAT16.
TensorProto.Builder	clearInt64Val () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	borrarIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
TensorProto.Builder	borrarResourceHandleVal () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	clearScomplexVal () DT_COMPLEX64.
TensorProto.Builder	borrarStringVal () DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	borrarTensorContenido () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder	borrarFormaTensor () 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	borrarVarianteVal () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	borrar número de versión () Version number.
TensorProto.Builder	clonar ()
booleano	getBoolVal (índice int) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
En t	obtenerBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Lista<Booleano>	obtenerBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
doble	getDcomplexVal (índice int) DT_COMPLEX128.
En t	getDcomplexValCount () DT_COMPLEX128.
Lista<Doble>	getDcomplexValList () DT_COMPLEX128.
TensorProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
doble	getDoubleVal (índice int) DT_DOUBLE.
En t	getDoubleValCount () DT_DOUBLE.
Lista<Doble>	obtenerListaDobleVal () DT_DOUBLE.
Tipo de datos	obtener tipo D () `.tensorflow.DataType dtype = 1;`
En t	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flotar	getFloatVal (índice int) DT_FLOAT.
En t	obtenerFloatValCount () DT_FLOAT.
Lista<flotante>	obtenerFloatValList () DT_FLOAT.
En t	getHalfVal (índice int) DT_HALF, DT_BFLOAT16.
En t	obtenerHalfValCount () DT_HALF, DT_BFLOAT16.
Lista<Entero>	obtenerHalfValList () DT_HALF, DT_BFLOAT16.
largo	getInt64Val (índice int) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
En t	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Lista<Larga>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
En t	getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
En t	obtenerIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista<Entero>	obtenerListaIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto	getResourceHandleVal (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProto.Builder	getResourceHandleValBuilder (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista< ResourceHandleProto.Builder >	getResourceHandleValBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
En t	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista< ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista<? extiende ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flotar	getScomplexVal (índice int) DT_COMPLEX64.
En t	getScomplexValCount () DT_COMPLEX64.
Lista<flotante>	getScomplexValList () DT_COMPLEX64.
com.google.protobuf.ByteString	getStringVal (índice int) DT_STRING `repeated bytes string_val = 8;`
En t	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Lista<ByteString>	obtenerStringValList () DT_STRING `repeated bytes string_val = 8;`
com.google.protobuf.ByteString	obtenerTensorContenido () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto	obtener forma tensor () Shape of the tensor.
TensorShapeProto.Builder	getTensorShapeBuilder () Shape of the tensor.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
En t	getUint32Val (índice int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
En t	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Lista<Entero>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
largo	getUint64Val (índice int) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
En t	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Lista<Larga>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
VarianteTensorDataProto	getVariantVal (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VarianteTensorDataProto.Builder	getVariantValBuilder (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista< VariantTensorDataProto.Builder >	getVariantValBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
En t	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista <VarianteTensorDataProto>	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VarianteTensorDataProtoOrBuilder	getVariantValOrBuilder (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista<? extiende VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
En t	obtener número de versión () Version number.
booleano	tieneTensorShape () Shape of the tensor.
booleano final	está inicializado ()
TensorProto.Builder	mergeFrom (com.google.protobuf.Message otro)
TensorProto.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
TensorProto.Builder	mergeTensorShape (valor TensorShapeProto ) Shape of the tensor.
TensorProto.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
TensorProto.Builder	removeResourceHandleVal (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	removeVariantVal (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setBoolVal (índice int, valor booleano) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.Builder	setDcomplexVal (índice int, valor doble) DT_COMPLEX128.
TensorProto.Builder	setDoubleVal (índice int, valor doble) DT_DOUBLE.
TensorProto.Builder	setDtype (valor de tipo de datos ) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setDtypeValue (valor int) `.tensorflow.DataType dtype = 1;`
TensorProto.Builder	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
TensorProto.Builder	setFloatVal (índice int, valor flotante) DT_FLOAT.
TensorProto.Builder	setHalfVal (índice int, valor int) DT_HALF, DT_BFLOAT16.
TensorProto.Builder	setInt64Val (índice int, valor largo) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.Builder	setIntVal (índice int, valor int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
TensorProto.Builder	setResourceHandleVal (índice int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setResourceHandleVal (índice int, valor ResourceHandleProto ) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.Builder	setScomplexVal (índice int, valor flotante) DT_COMPLEX64.
TensorProto.Builder	setStringVal (índice int, valor com.google.protobuf.ByteString) DT_STRING `repeated bytes string_val = 8;`
TensorProto.Builder	setTensorContent (valor com.google.protobuf.ByteString) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder	setTensorShape (valor TensorShapeProto ) Shape of the tensor.
TensorProto.Builder	setTensorShape ( TensorShapeProto.Builder constructorForValue) Shape of the tensor.
TensorProto.Builder	setUint32Val (índice int, valor int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.Builder	setUint64Val (índice int, valor largo) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
TensorProto.Builder	setVariantVal (índice int, valor VariantTensorDataProto ) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVariantVal (índice int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.Builder	setVersionNumber (valor int) Version number.

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
En t	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	Encadenar ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.TensorProtoOrBuilder

booleano abstracto	getBoolVal (índice int) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
resumen entero	obtenerBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Lista abstracta<Booleano>	obtenerBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
doble abstracto	getDcomplexVal (índice int) DT_COMPLEX128.
resumen entero	getDcomplexValCount () DT_COMPLEX128.
Lista abstracta<Doble>	getDcomplexValList () DT_COMPLEX128.
doble abstracto	getDoubleVal (índice int) DT_DOUBLE.
resumen entero	getDoubleValCount () DT_DOUBLE.
Lista abstracta<Doble>	obtenerListaDobleVal () DT_DOUBLE.
tipo de datos abstracto	obtener tipo D () `.tensorflow.DataType dtype = 1;`
resumen entero	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flotador abstracto	getFloatVal (índice int) DT_FLOAT.
resumen entero	obtenerFloatValCount () DT_FLOAT.
Lista abstracta<Flotante>	obtenerFloatValList () DT_FLOAT.
resumen entero	getHalfVal (índice int) DT_HALF, DT_BFLOAT16.
resumen entero	obtenerHalfValCount () DT_HALF, DT_BFLOAT16.
Lista abstracta<Entero>	obtenerHalfValList () DT_HALF, DT_BFLOAT16.
abstracto largo	getInt64Val (índice int) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
resumen entero	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Lista abstracta<Larga>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
resumen entero	getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
resumen entero	obtenerIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista abstracta<Entero>	obtenerListaIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
resumen ResourceHandleProto	getResourceHandleVal (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
resumen entero	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista abstracta < ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
resumen ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (índice int) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista abstracta<? extiende ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flotador abstracto	getScomplexVal (índice int) DT_COMPLEX64.
resumen entero	getScomplexValCount () DT_COMPLEX64.
Lista abstracta<Flotante>	getScomplexValList () DT_COMPLEX64.
resumen com.google.protobuf.ByteString	getStringVal (índice int) DT_STRING `repeated bytes string_val = 8;`
resumen entero	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Lista abstracta<ByteString>	obtenerStringValList () DT_STRING `repeated bytes string_val = 8;`
resumen com.google.protobuf.ByteString	obtenerTensorContenido () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
resumen TensorShapeProto	obtener forma tensor () Shape of the tensor.
abstracto TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
resumen entero	getUint32Val (índice int) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
resumen entero	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Lista abstracta<Entero>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
abstracto largo	getUint64Val (índice int) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
resumen entero	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Lista abstracta<Larga>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
abstracto VariantTensorDataProto	getVariantVal (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
resumen entero	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista abstracta <VariantTensorDataProto>	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Variante abstractaTensorDataProtoOrBuilder	getVariantValOrBuilder (índice int) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista abstracta<? extiende VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
resumen entero	obtener número de versión () Version number.
booleano abstracto	tieneTensorShape () Shape of the tensor.

Métodos públicos

public TensorProto.Builder addAllBoolVal (Iterable<? Extiende valores booleanos>)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addAllDcomplexVal (Iterable<? extiende los valores 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 addAllDoubleVal (Iterable<? extiende los valores Double>)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public TensorProto.Builder addAllFloatVal (Iterable<? extiende los valores Float>)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

public TensorProto.Builder addAllHalfVal (Iterable<? extiende los valores Integer>)

 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<? extiende los valores Long>)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addAllIntVal (Iterable<? extiende los valores Integer>)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addAllResourceHandleVal (Iterable<? extiende los valores de ResourceHandleProto >)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Iterable<? extiende los valores Float>)

 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<? extiende los valores ByteString>)

 DT_STRING

repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? extiende valores enteros>)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

public TensorProto.Builder addAllUint64Val (Iterable<? extiende los valores Long>)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addAllVariantVal (Iterable<? extiende los valores de VariantTensorDataProto >)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder addBoolVal (valor booleano)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público TensorProto.Builder addDcomplexVal (valor doble)

 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];

público TensorProto.Builder addDoubleVal (valor doble)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

público TensorProto.Builder addFloatVal (valor flotante)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

público TensorProto.Builder addHalfVal (valor 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];

público TensorProto.Builder addInt64Val (valor largo)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

público TensorProto.Builder addIntVal (valor int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

público TensorProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público TensorProto.Builder addResourceHandleVal (índice int, ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder addResourceHandleVal (índice int, valor ResourceHandleProto )

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder addResourceHandleVal (valor ResourceHandleProto )

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público ResourceHandleProto.Builder addResourceHandleValBuilder (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público ResourceHandleProto.Builder addResourceHandleValBuilder ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder addScomplexVal (valor flotante)

 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];

público TensorProto.Builder addStringVal (valor com.google.protobuf.ByteString)

 DT_STRING

repeated bytes string_val = 8;

público TensorProto.Builder addUint32Val (valor int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público TensorProto.Builder addUint64Val (valor largo)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

público TensorProto.Builder addVariantVal (valor VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder addVariantVal (índice int, VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder addVariantVal (índice int, valor VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público VariantTensorDataProto.Builder addVariantValBuilder (índice int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público VariantTensorDataProto.Builder addVariantValBuilder ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

compilación pública de TensorProto ()

TensorProto público buildPartial ()

público TensorProto.Builder claro ()

público TensorProto.Builder clearBoolVal ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público 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];

público TensorProto.Builder clearDoubleVal ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

público TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

público TensorProto.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

público TensorProto.Builder clearFloatVal ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

público 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];

público TensorProto.Builder clearInt64Val ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

público TensorProto.Builder clearIntVal ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

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

público TensorProto.Builder clearResourceHandleVal ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público 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];

público TensorProto.Builder clearStringVal ()

 DT_STRING

repeated bytes string_val = 8;

público 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;

público TensorProto.Builder clearTensorShape ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público TensorProto.Builder clearUint32Val ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público TensorProto.Builder clearUint64Val ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

público TensorProto.Builder clearVariantVal ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público 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;

clon público de TensorProto.Builder ()

getBoolVal booleano público (índice int)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público int getBoolValCount ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

Lista pública<Booleano> getBoolValList ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público doble getDcomplexVal (índice 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];

público 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];

Lista pública<Doble> 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];

público TensorProto getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

público doble getDoubleVal (índice int)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

public int getDoubleValCount ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

Lista pública<Doble> getDoubleValList ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

tipo de datos público getDtype ()

.tensorflow.DataType dtype = 1;

público int getDtypeValue ()

.tensorflow.DataType dtype = 1;

flotante público getFloatVal (índice int)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

público int getFloatValCount ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

Lista pública<Float> getFloatValList ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

público int getHalfVal (índice 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];

público 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];

Lista pública<Entero> 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];

público largo getInt64Val (índice int)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

público int getInt64ValCount ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

Lista pública<Larga> getInt64ValList ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

público int getIntVal (índice int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

público int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

Lista pública<Entero> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

ResourceHandlePro público para getResourceHandleVal (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público ResourceHandleProto.Builder getResourceHandleValBuilder (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista pública< ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público int getResourceHandleValCount ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista pública< ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista pública<? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

getScomplexVal flotante público (índice 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];

público 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];

Lista pública<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];

público com.google.protobuf.ByteString getStringVal (índice int)

 DT_STRING

repeated bytes string_val = 8;

público int getStringValCount ()

 DT_STRING

repeated bytes string_val = 8;

Lista pública<ByteString> getStringValList ()

 DT_STRING

repeated bytes string_val = 8;

público 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;

público TensorShapeProto getTensorShape ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público TensorShapeProto.Builder getTensorShapeBuilder ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público int getUint32Val (índice int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público int getUint32ValCount ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

Lista pública<Entero> getUint32ValList ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público largo getUint64Val (índice int)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

público int getUint64ValCount ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

Lista pública<Larga> getUint64ValList ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

público VariantTensorDataProto getVariantVal (índice int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público VariantTensorDataProto.Builder getVariantValBuilder (índice int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Lista pública< VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público int getVariantValCount ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Lista pública< VariantTensorDataProto > getVariantValList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Lista pública<? extiende 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;

hasTensorShape booleano público ()

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público final booleano isInitialized ()

público TensorProto.Builder mergeFrom (com.google.protobuf.Message otro)

TensorProto.Builder público mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

público TensorProto.Builder mergeTensorShape (valor TensorShapeProto )

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

.tensorflow.TensorShapeProto tensor_shape = 2;

TensorProto.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público TensorProto.Builder removeResourceHandleVal (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder removeVariantVal (índice int)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder setBoolVal (índice int, valor booleano)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público TensorProto.Builder setDcomplexVal (índice int, valor doble)

 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];

público TensorProto.Builder setDoubleVal (índice int, valor doble)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

público TensorProto.Builder setDtype (valor de tipo de datos )

.tensorflow.DataType dtype = 1;

público TensorProto.Builder setDtypeValue (valor int)

.tensorflow.DataType dtype = 1;

público TensorProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público TensorProto.Builder setFloatVal (índice int, valor flotante)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

público TensorProto.Builder setHalfVal (índice int, valor 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];

público TensorProto.Builder setInt64Val (índice int, valor largo)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

público TensorProto.Builder setIntVal (índice int, valor int)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

público TensorProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público TensorProto.Builder setResourceHandleVal (índice int, ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder setResourceHandleVal (índice int, valor ResourceHandleProto )

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder setScomplexVal (índice int, valor flotante)

 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];

público TensorProto.Builder setStringVal (índice int, valor com.google.protobuf.ByteString)

 DT_STRING

repeated bytes string_val = 8;

público TensorProto.Builder setTensorContent (valor 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;

público TensorProto.Builder setTensorShape (valor TensorShapeProto )

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público TensorProto.Builder setTensorShape ( TensorShapeProto.Builder builderForValue)

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

.tensorflow.TensorShapeProto tensor_shape = 2;

público TensorProto.Builder setUint32Val (índice int, valor int)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público TensorProto.Builder setUint64Val (índice int, valor largo)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

público final TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público TensorProto.Builder setVariantVal (índice int, valor VariantTensorDataProto )

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder setVariantVal (índice int, VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público TensorProto.Builder setVersionNumber (valor 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;