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TensorProto

classe final pública TensorProto

 Protocol buffer representing a tensor.

Protobuf tipo tensorflow.TensorProto

Classes aninhadas

aula

TensorProto.Builder

 Protocol buffer representing a tensor.

Constantes

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

Métodos Públicos

boleano	é igual (objeto obj)
boleano	getBoolVal (índice interno) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
interno	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Lista<Booleano>	getBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
dobro	getDcomplexVal (índice interno) DT_COMPLEX128.
interno	getDcomplexValCount () DT_COMPLEX128.
Lista<Duplo>	getDcomplexValList () DT_COMPLEX128.
TensorProto estático	getDefaultInstance ()
TensorProto	getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
dobro	getDoubleVal (índice interno) DT_DOUBLE.
interno	getDoubleValCount () DT_DOUBLE.
Lista<Duplo>	getDoubleValList () DT_DOUBLE.
Tipo de dados	getDtype () `.tensorflow.DataType dtype = 1;`
interno	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flutuador	getFloatVal (índice interno) DT_FLOAT.
interno	getFloatValCount () DT_FLOAT.
Lista<flutuante>	getFloatValList () DT_FLOAT.
interno	getHalfVal (índice interno) DT_HALF, DT_BFLOAT16.
interno	getHalfValCount () DT_HALF, DT_BFLOAT16.
Lista<Inteiro>	getHalfValList () DT_HALF, DT_BFLOAT16.
longo	getInt64Val (índice interno) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
interno	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
Lista<Longa>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
interno	getIntVal (índice interno) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
interno	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista<Inteiro>	getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
	getParserForType ()
ResourceHandleProto	getResourceHandleVal (índice interno) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
interno	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 interno) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista<? estende ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flutuador	getScomplexVal (índice interno) DT_COMPLEX64.
interno	getScomplexValCount () DT_COMPLEX64.
Lista<flutuante>	getScomplexValList () DT_COMPLEX64.
interno	getSerializedSize ()
com.google.protobuf.ByteString	getStringVal (índice interno) DT_STRING `repeated bytes string_val = 8;`
interno	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
Lista<ByteString>	getStringValList () DT_STRING `repeated bytes string_val = 8;`
com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto	obterTensorShape () Shape of the tensor.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
interno	getUint32Val (índice interno) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
interno	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
Lista<Inteiro>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
longo	getUint64Val (índice interno) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
interno	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
Lista<Longa>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
VarianteTensorDataProto	getVariantVal (índice interno) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
interno	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista< VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
VarianteTensorDataProtoOrBuilder	getVariantValOrBuilder (índice interno) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista<? estende VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
interno	getVersionNumber () Version number.
boleano	hasTensorShape () Shape of the tensor.
interno	código hash ()
booleano final	éinicializado ()
TensorProto.Builder estático	novoConstrutor ()
TensorProto.Builder estático	newBuilder (protótipo TensorProto )
TensorProto.Builder	novoBuilderForType ()
TensorProto estático	parseDelimitedFrom (entrada InputStream)
TensorProto estático	parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (entrada com.google.protobuf.CodedInputStream)
TensorProto estático	parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (dados de ByteBuffer)
TensorProto estático	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (dados com.google.protobuf.ByteString)
TensorProto estático	parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto estático	parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático	analisador ()
TensorProto.Builder	paraConstrutor ()
vazio	writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Da classe java.lang.Object

boleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	para sequenciar ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface org.tensorflow.proto.framework.TensorProtoOrBuilder

booleano abstrato	getBoolVal (índice interno) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
abstrato int	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
Lista abstrata<Boolean>	getBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
duplo abstrato	getDcomplexVal (índice interno) DT_COMPLEX128.
abstrato int	getDcomplexValCount () DT_COMPLEX128.
lista abstrata	getDcomplexValList () DT_COMPLEX128.
duplo abstrato	getDoubleVal (índice interno) DT_DOUBLE.
abstrato int	getDoubleValCount () DT_DOUBLE.
lista abstrata	getDoubleValList () DT_DOUBLE.
tipo de dados abstrato	getDtype () `.tensorflow.DataType dtype = 1;`
abstrato int	getDtypeValue () `.tensorflow.DataType dtype = 1;`
flutuador abstrato	getFloatVal (índice interno) DT_FLOAT.
abstrato int	getFloatValCount () DT_FLOAT.
Lista abstrata<Float>	getFloatValList () DT_FLOAT.
abstrato int	getHalfVal (índice interno) DT_HALF, DT_BFLOAT16.
abstrato int	getHalfValCount () DT_HALF, DT_BFLOAT16.
lista abstrata<inteiro>	getHalfValList () DT_HALF, DT_BFLOAT16.
abstrato longo	getInt64Val (índice interno) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
abstrato int	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
lista abstrata<longa>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
abstrato int	getIntVal (índice interno) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstrato int	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
lista abstrata<inteiro>	getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
resumo ResourceHandleProto	getResourceHandleVal (índice interno) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
abstrato int	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
Lista abstrata< ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
resumo ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder (índice interno) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
lista abstrata<? estende ResourceHandleProtoOrBuilder >	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
flutuador abstrato	getScomplexVal (índice interno) DT_COMPLEX64.
abstrato int	getScomplexValCount () DT_COMPLEX64.
Lista abstrata<Float>	getScomplexValList () DT_COMPLEX64.
abstrato com.google.protobuf.ByteString	getStringVal (índice interno) DT_STRING `repeated bytes string_val = 8;`
abstrato int	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
lista abstrata<ByteString>	getStringValList () DT_STRING `repeated bytes string_val = 8;`
abstrato com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
abstrato TensorShapeProto	obterTensorShape () Shape of the tensor.
TensorShapeProtoOrBuilder abstrato	getTensorShapeOrBuilder () Shape of the tensor.
abstrato int	getUint32Val (índice interno) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
abstrato int	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
lista abstrata<inteiro>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
abstrato longo	getUint64Val (índice interno) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
abstrato int	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
lista abstrata<longa>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
variante abstrataTensorDataProto	getVariantVal (índice interno) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
abstrato int	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
Lista abstrata< VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
variante abstrataTensorDataProtoOrBuilder	getVariantValOrBuilder (índice interno) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
lista abstrata<? estende VariantTensorDataProtoOrBuilder >	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
abstrato int	getVersionNumber () Version number.
booleano abstrato	hasTensorShape () Shape of the tensor.

Constantes

público estático final int BOOL_VAL_FIELD_NUMBER

Valor Constante: 11

público estático final int DCOMPLEX_VAL_FIELD_NUMBER

Valor Constante: 12

público estático final int DOUBLE_VAL_FIELD_NUMBER

Valor Constante: 6

público estático final int DTYPE_FIELD_NUMBER

Valor Constante: 1

público estático final int FLOAT_VAL_FIELD_NUMBER

Valor Constante: 5

público estático final int HALF_VAL_FIELD_NUMBER

Valor Constante: 13

público estático final int INT64_VAL_FIELD_NUMBER

Valor Constante: 10

público estático final int INT_VAL_FIELD_NUMBER

Valor Constante: 7

público estático final int RESOURCE_HANDLE_VAL_FIELD_NUMBER

Valor Constante: 14

público estático final int 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

público estático final int TENSOR_SHAPE_FIELD_NUMBER

Valor Constante: 2

público estático final int UINT32_VAL_FIELD_NUMBER

Valor Constante: 16

público estático final int 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

booleano público é igual (Object obj)

público booleano getBoolVal (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<Boolean> getBoolValList ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

público duplo 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<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];

público estático TensorProto getDefaultInstance ()

público TensorProto getDefaultInstanceForType ()

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

público duplo getDoubleVal (índice int)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

público int getDoubleValCount ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

lista pública<Double> getDoubleValList ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

tipo de dados público getDtype ()

.tensorflow.DataType dtype = 1;

público int getDtypeValue ()

.tensorflow.DataType dtype = 1;

float 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<inteiro> 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 longo 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<longa> getInt64ValList ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

public 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<inteiro> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

público getParserForType ()

public ResourceHandleProto 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;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista pública<? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

flutuador público getScomplexVal (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;

public 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<inteiro> getUint32ValList ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

público longo 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<longa> getUint64ValList ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];