TensorProto.Builder

clase final estática pública TensorProto.Builder

 Protocol buffer representing a tensor.
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 valores de Double>)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable <? extiende valores de Double>)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable <? extiende los valores de 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 de 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 de 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 builderForValue)
 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
addResourceHandleValBuilder ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (valor flotante)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (valor de 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;
VariantTensorDataProto.Builder
addVariantValBuilder (índice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto
construir ()
TensorProto
buildPartial ()
TensorProto.Builder
claro ()
TensorProto.Builder
clearBoolVal ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
clearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
clearDoubleVal ()
 DT_DOUBLE.
TensorProto.Builder
clearDtype ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
clearFloatVal ()
 DT_FLOAT.
TensorProto.Builder
clearHalfVal ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
clearInt64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
clearIntVal ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder
clearResourceHandleVal ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
clearScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
clearStringVal ()
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
clearTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
clearTensorShape ()
 Shape of the tensor.
TensorProto.Builder
clearUint32Val ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
clearUint64Val ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
clearVariantVal ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
clearVersionNumber ()
 Version number.
TensorProto.Builder
clon ()
booleano
getBoolVal (índice int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
En t
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista <Boolean>
getBoolValList ()
 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
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
doble
getDoubleVal (índice int)
 DT_DOUBLE.
En t
getDoubleValCount ()
 DT_DOUBLE.
Lista <Doble>
getDoubleValList ()
 DT_DOUBLE.
Tipo de datos
getDtype ()
.tensorflow.DataType dtype = 1;
En t
getDtypeValue ()
.tensorflow.DataType dtype = 1;
flotador
getFloatVal (índice int)
 DT_FLOAT.
En t
getFloatValCount ()
 DT_FLOAT.
Lista <Float>
getFloatValList ()
 DT_FLOAT.
En t
getHalfVal (índice int)
 DT_HALF, DT_BFLOAT16.
En t
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Lista <Intero>
getHalfValList ()
 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
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista <Intero>
getIntValList ()
 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;
flotador
getScomplexVal (índice int)
 DT_COMPLEX64.
En t
getScomplexValCount ()
 DT_COMPLEX64.
Lista <Float>
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>
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
getTensorShape ()
 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 <Intero>
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];
VariantTensorDataProto
getVariantVal (índice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.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 < VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
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
getVersionNumber ()
 Version number.
booleano
hasTensorShape ()
 Shape of the tensor.
booleano final
isInitialized ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Message otro)
TensorProto.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder
mergeTensorShape (valor de TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
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 de TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 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 unknownFields)
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

Métodos públicos

public TensorProto.Builder addAllBoolVal (Iterable <? extiende los 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 de Double>) 

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

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

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

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

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

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

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

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

 DT_STRING
repeated bytes string_val = 8;

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

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

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

 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;

public TensorProto.Builder addBoolVal (valor booleano) 

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

public 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];

public TensorProto.Builder addDoubleVal (valor doble) 

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

public TensorProto.Builder addFloatVal (valor flotante) 

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

public 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];

public TensorProto.Builder addInt64Val (valor largo) 

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

public 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 del objeto)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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;

public 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;

public 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];

public TensorProto.Builder addStringVal (valor de com.google.protobuf.ByteString) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (valor int) 

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

public TensorProto.Builder addUint64Val (valor largo) 

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

public TensorProto.Builder addVariantVal (valor de VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (int index, 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;

public 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;

pública TensorProto build ()

public TensorProto buildPartial ()

public TensorProto.Builder clear ()

public TensorProto.Builder clearBoolVal () 

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

public TensorProto.Builder clearDcomplexVal () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

public TensorProto.Builder clearDoubleVal () 

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

public TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

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

public TensorProto.Builder clearFloatVal () 

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

public TensorProto.Builder clearHalfVal () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public TensorProto.Builder clearInt64Val () 

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

public TensorProto.Builder clearIntVal () 

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

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

public TensorProto.Builder clearResourceHandleVal () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder clearScomplexVal () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

public TensorProto.Builder clearStringVal () 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder clearTensorContent () 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

public TensorProto.Builder clearTensorShape () 

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

public TensorProto.Builder clearUint32Val () 

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

public TensorProto.Builder clearUint64Val () 

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

public TensorProto.Builder clearVariantVal () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder clearVersionNumber () 

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
int32 int32 version_number = 3;

clon público de TensorProto.Builder ()

getBoolVal booleano público (índice int) 

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

public int getBoolValCount () 

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

Lista pública <Boolean> getBoolValList () 

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

public double getDcomplexVal (int index) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

public int getDcomplexValCount () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

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];

public TensorProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public double getDoubleVal (int index) 

 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];

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public float getFloatVal (índice int) 

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

public int getFloatValCount () 

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

Lista pública <Float> getFloatValList () 

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

public int getHalfVal (int índice) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public int getHalfValCount () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

Public List <Integer> getHalfValList () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public long getInt64Val (índice int) 

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

public int getInt64ValCount () 

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

Lista pública <Long> getInt64ValList () 

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

public int getIntVal (int índice) 

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

public int getIntValCount () 

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

Public List <Integer> 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;

public 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 <? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public flotante 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];

public int getScomplexValCount () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

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];

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

 DT_STRING
repeated bytes string_val = 8;

public int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

Lista pública <ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

public com.google.protobuf.ByteString getTensorContent () 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

public TensorShapeProto getTensorShape () 

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

public TensorShapeProto.Builder getTensorShapeBuilder () 

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

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public int getUint32Val (int índice) 

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

public int getUint32ValCount () 

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

Public List <Integer> getUint32ValList () 

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

public long getUint64Val (índice int) 

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

public int getUint64ValCount () 

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

Lista pública <Long> getUint64ValList () 

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

public VariantTensorDataProto getVariantVal (índice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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;

public int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

lista pública < VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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 int32 version_number = 3;

public boolean hasTensorShape () 

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

public final boolean isInitialized ()

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

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

Lanza
IOException

public TensorProto.Builder mergeTensorShape (valor de TensorShapeProto ) 

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

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

public TensorProto.Builder removeResourceHandleVal (índice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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];

public 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];

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

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

public TensorProto.Builder setDtype (valor de DataType )

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (valor int)

.tensorflow.DataType dtype = 1;

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

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

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

public 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 largo) 

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

public 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 del objeto)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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];

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

 DT_STRING
repeated bytes string_val = 8;

public 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;

public TensorProto.Builder setTensorShape (valor de TensorShapeProto ) 

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

public TensorProto.Builder setTensorShape ( TensorShapeProto.Builder builderForValue) 

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

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

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

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

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

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

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVersionNumber (int value) 

 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;