TensorProto.Builder

classe final estática pública TensorProto.Builder

 Protocol buffer representing a tensor.
Protobuf tipo tensorflow.TensorProto

Métodos Públicos

TensorProto.Builder
addAllBoolVal (Iterable<? estende valores booleanos>)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? estende valores Double>)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? estende valores Double>)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? estende valores Float>)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? estende valores inteiros>)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (valores Iterable<? estende Long>)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? estende valores inteiros>)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? estende ResourceHandleProto > valores)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? estende valores Float>)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? estende valores de ByteString>)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? estende valores inteiros>)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (valores Iterable<? estende Long>)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? estende VariantTensorDataProto > valores)
 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 duplo)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (valor duplo)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (valor flutuante)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (valor interno)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (valor longo)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (valor interno)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do 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 construtorForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (valor flutuante)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (valor com.google.protobuf.ByteString)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (valor interno)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (valor longo)
 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 construtorForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VarianteTensorDataProto.Builder
addVariantValBuilder (índice interno)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VarianteTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto
construir ()
TensorProto
construirPartial ()
TensorProto.Builder
claro ()
TensorProto.Builder
clearBoolVal ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
limparDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
limparDoubleVal ()
 DT_DOUBLE.
TensorProto.Builder
limparDtype ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
clearFloatVal ()
 DT_FLOAT.
TensorProto.Builder
limparHalfVal ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
limparInt64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
limparIntVal ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof)
TensorProto.Builder
clearResourceHandleVal ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
limparScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
clearStringVal ()
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
limparTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
limparTensorShape ()
 Shape of the tensor.
TensorProto.Builder
limparUint32Val ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
limparUint64Val ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
limparVariantVal ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
limparVersionNumber ()
 Version number.
TensorProto.Builder
clonar ()
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
getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
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.
ResourceHandleProto
getResourceHandleVal (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 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.
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.
TensorShapeProto.Builder
obterTensorShapeBuilder ()
 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];
VarianteTensorDataProto
getVariantVal (índice interno)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VarianteTensorDataProto.Builder
getVariantValBuilder (índice interno)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 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.
booleano final
éinicializado ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Message outro)
TensorProto.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder
mergeTensorShape (valor TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder final
mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
TensorProto.Builder
removeResourceHandleVal (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
removeVariantVal (índice interno)
 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 duplo)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (índice int, valor duplo)
 DT_DOUBLE.
TensorProto.Builder
setDtype (valor DataType )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (valor interno)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
TensorProto.Builder
setFloatVal (índice int, valor flutuante)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (índice int, valor int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (índice int, valor longo)
 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 do 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 flutuante)
 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 construtorForValue)
 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 longo)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
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 interno)
 Version number.

Métodos herdados

Métodos Públicos

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

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

public TensorProto.Builder addAllDcomplexVal (Iterable<? estende 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<? estende valores Double>) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

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

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

public TensorProto.Builder addAllHalfVal (Iterable<? estende valores inteiros>) 

 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<? estende valores Long>) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

public TensorProto.Builder addAllIntVal (Iterable<? estende valores inteiros>) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

public TensorProto.Builder addAllResourceHandleVal (Iterable<? estende ResourceHandleProto > valores) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (valores Iterable<? estende 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<? estende valores de ByteString>) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? estende valores inteiros>) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

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

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

public TensorProto.Builder addAllVariantVal (Iterable<? estende VariantTensorDataProto > valores) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (valor booleano) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

público TensorProto.Builder addDcomplexVal (valor duplo) 

 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 duplo) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

público TensorProto.Builder addFloatVal (valor flutuante) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

público TensorProto.Builder addHalfVal (valor interno) 

 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 longo) 

 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];

public TensorProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do 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;

public 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;

public ResourceHandleProto.Builder addResourceHandleValBuilder (índice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público TensorProto.Builder addScomplexVal (valor flutuante) 

 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 longo) 

 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;

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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;

public VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

construção pública do TensorProto ()

público TensorProto 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;

clone público do TensorProto.Builder ()

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 TensorProto getDefaultInstanceForType ()

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

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

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];

public ResourceHandleProto getResourceHandleVal (índice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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;

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 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;

public 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<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];

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<? estende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público 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 outro)

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

Lança
IOException

public TensorProto.Builder mergeTensorShape (valor TensorShapeProto ) 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

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

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;

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

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

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

 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 duplo) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

público TensorProto.Builder setDtype (valor DataType )

.tensorflow.DataType dtype = 1;

público TensorProto.Builder setDtypeValue (valor int)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

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

 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];

public TensorProto.Builder setInt64Val (índice int, valor longo) 

 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];

public TensorProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do 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 flutuante) 

 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 longo) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

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

public 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;