TensorProto

clase final pública TensorProto

 Protocol buffer representing a tensor.
 

Protobuf tipo tensorflow.TensorProto

Clases anidadas

clase

TensorProto.Builder

Protocol buffer representing a tensor.

Constantes

En t	BOOL_VAL_FIELD_NUMBER
En t	DCOMPLEX_VAL_FIELD_NUMBER
En t	DOUBLE_VAL_FIELD_NUMBER
En t	DTYPE_FIELD_NUMBER
En t	FLOAT_VAL_FIELD_NUMBER
En t	HALF_VAL_FIELD_NUMBER
En t	INT64_VAL_FIELD_NUMBER
En t	INT_VAL_FIELD_NUMBER
En t	RESOURCE_HANDLE_VAL_FIELD_NUMBER
En t	SCOMPLEX_VAL_FIELD_NUMBER
En t	STRING_VAL_FIELD_NUMBER
En t	TENSOR_CONTENT_FIELD_NUMBER
En t	TENSOR_SHAPE_FIELD_NUMBER
En t	UINT32_VAL_FIELD_NUMBER
En t	UINT64_VAL_FIELD_NUMBER
En t	VARIANT_VAL_FIELD_NUMBER
En t	VERSION_NUMBER_FIELD_NUMBER

Métodos públicos

booleano	es igual (Objeto obj)
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 estático	getDefaultInstancia ()
TensorProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
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.
	getParserForType ()
ResourceHandleProto	getResourceHandleVal (índice int) 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.
En t	getSerializedSize ()
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.
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];
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
VarianteTensorDataProto	getVariantVal (índice int) 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.
En t	código hash ()
booleano final	está inicializado ()
TensorProto.Builder estático	nuevoConstructor ()
TensorProto.Builder estático	newBuilder (prototipo TensorProto )
TensorProto.Builder	nuevoBuilderForType ()
TensorProto estático	parseDelimitedFrom (entrada de InputStream)
TensorProto estático	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (entrada com.google.protobuf.CodedInputStream)
TensorProto estático	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (datos de ByteBuffer)
TensorProto estático	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
TensorProto estático	parseFrom (datos com.google.protobuf.ByteString)
TensorProto estático	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
TensorProto.Builder	al constructor ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

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 (arg0 largo)
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.

Constantes

int final estático público BOOL_VAL_FIELD_NUMBER

Valor constante: 11

int final estático público DCOMPLEX_VAL_FIELD_NUMBER

Valor constante: 12

int final estático público DOUBLE_VAL_FIELD_NUMBER

Valor constante: 6

int final estático público DTYPE_FIELD_NUMBER

Valor constante: 1

int final estático público FLOAT_VAL_FIELD_NUMBER

Valor constante: 5

int final estático público HALF_VAL_FIELD_NUMBER

Valor constante: 13

int final estática pública INT64_VAL_FIELD_NUMBER

Valor constante: 10

int final estático público INT_VAL_FIELD_NUMBER

Valor constante: 7

int final estático público RESOURCE_HANDLE_VAL_FIELD_NUMBER

Valor constante: 14

int final estático público SCOMPLEX_VAL_FIELD_NUMBER

Valor constante: 9

int final estático público STRING_VAL_FIELD_NUMBER

Valor constante: 8

int final estático público TENSOR_CONTENT_FIELD_NUMBER

Valor constante: 4

int final estático público TENSOR_SHAPE_FIELD_NUMBER

Valor constante: 2

int final estático público UINT32_VAL_FIELD_NUMBER

Valor constante: 16

int final estático público UINT64_VAL_FIELD_NUMBER

Valor constante: 17

int final estático público VARIANT_VAL_FIELD_NUMBER

Valor constante: 15

int final estático público VERSION_NUMBER_FIELD_NUMBER

Valor constante: 3

Métodos públicos

público booleano es igual (Objeto obj)

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 estático TensorProto getDefaultInstance ()

público TensorProto getDefaultInstanceForType ()

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

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];

público getParserForType ()

ResourceHandlePro público para getResourceHandleVal (índice int)

 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 int getSerializedSize ()

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 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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

público VariantTensorDataProto getVariantVal (índice int)

 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;

código hash int público ()

público final booleano isInitialized ()

público estático TensorProto.Builder newBuilder ()

público estático TensorProto.Builder newBuilder (prototipo de TensorProto )

público TensorProto.Builder newBuilderForType ()

TensorProto estático público parseDelimitedFrom (entrada de InputStream)

Lanza

IOExcepción

TensorProto estático público parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

público estático TensorProto parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

parseFrom público estático de TensorProto (entrada com.google.protobuf.CodedInputStream)

Lanza

IOExcepción

público estático TensorProto parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

parseFrom público estático de TensorProto (datos de ByteBuffer)

Lanza

Excepción de buffer de protocolo no válido

parseFrom público estático de TensorProto (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

parseFrom público estático de TensorProto (datos com.google.protobuf.ByteString)

Lanza

Excepción de buffer de protocolo no válido

parseFrom público estático de TensorProto (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

parseFrom público estático de TensorProto (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

estática pública analizador ()

público TensorProto.Builder toBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

Lanza

IOExcepción