TensorProto.Builder

classe finale statica pubblica TensorProto.Builder

 Protocol buffer representing a tensor.
Tipo protobuf tensorflow.TensorProto

Metodi pubblici

TensorProto.Builder
addAllBoolVal (Iterable<? estende i valori booleani>)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? estende Double> valori)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? estende Double> valori)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? estende i valori Float>)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? estende i valori Integer>)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (Iterable<? estende i valori Long>)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? estende i valori Integer>)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? estende ResourceHandleProto > valori)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? estende i valori Float>)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? estende i valori ByteString>)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? estende i valori Integer>)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (Iterable<? estende i valori Long>)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? estende VariantTensorDataProto > valori)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (valore booleano)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (doppio valore)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (doppio valore)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (valore float)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (valore int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (valore lungo)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (valore int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
TensorProto.Builder
addResourceHandleVal (indice int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (indice int, valore ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (valore 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 (indice 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 (valore float)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (valore com.google.protobuf.ByteString)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (valore int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (valore lungo)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal (valore VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (indice int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (indice int, valore 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 (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensoreProto
costruire ()
TensoreProto
buildPartial ()
TensorProto.Builder
chiaro ()
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
clone ()
booleano
getBoolVal (indice int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Elenco<Booleano>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Doppio
getDcomplexVal (indice int)
 DT_COMPLEX128.
int
getDcomplexValCount ()
 DT_COMPLEX128.
Elenco<Doppio>
getDcomplexValList ()
 DT_COMPLEX128.
TensoreProto
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statico finale
getDescrittore ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Doppio
getDoubleVal (indice int)
 DT_DOUBLE.
int
getDoubleValCount ()
 DT_DOUBLE.
Elenco<Doppio>
getDoubleValList ()
 DT_DOUBLE.
Tipo di dati
getDtipo ()
.tensorflow.DataType dtype = 1;
int
getDtipoValore ()
.tensorflow.DataType dtype = 1;
galleggiante
getFloatVal (indice int)
 DT_FLOAT.
int
getFloatValCount ()
 DT_FLOAT.
Elenco<mobile>
getFloatValList ()
 DT_FLOAT.
int
getHalfVal (indice int)
 DT_HALF, DT_BFLOAT16.
int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Elenco<intero>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
lungo
getInt64Val (indice int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Elenco<Lungo>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getIntVal (indice int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Elenco<intero>
getIntValLista ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco<? estende ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
galleggiante
getScomplexVal (indice int)
 DT_COMPLEX64.
int
getScomplexValCount ()
 DT_COMPLEX64.
Elenco<mobile>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (indice int)
 DT_STRING
repeated bytes string_val = 8;
int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Elenco<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.
int
getUint32Val (indice int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Elenco<intero>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
lungo
getUint64Val (indice int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Elenco<Lungo>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco<? estende VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getNumeroVersione ()
 Version number.
booleano
haTensorShape ()
 Shape of the tensor.
booleano finale
èinizializzato ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Message altro)
TensorProto.Builder
mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
TensorProto.Builder
mergeTensorShape (valore TensorShapeProto )
 Shape of the tensor.
finale TensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
TensorProto.Builder
rimuoviResourceHandleVal (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
rimuoviVariantVal (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (indice int, valore booleano)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (indice int, valore doppio)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (indice int, valore doppio)
 DT_DOUBLE.
TensorProto.Builder
setDtype (valore del tipo di dati )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (valore int)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
TensorProto.Builder
setFloatVal (indice int, valore float)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (indice int, valore int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (indice int, valore lungo)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (indice int, valore int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
TensorProto.Builder
setResourceHandleVal (indice int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (indice int, valore ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (indice int, valore float)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (indice int, valore com.google.protobuf.ByteString)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (valore com.google.protobuf.ByteString)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape (valore TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.BuilderbuilderForValue )
 Shape of the tensor.
TensorProto.Builder
setUint32Val (indice int, valore int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (indice int, valore lungo)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
finale TensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
TensorProto.Builder
setVariantVal (indice int, valore VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (indice int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (valore int)
 Version number.

Metodi ereditati

Metodi pubblici

public TensorProto.Builder addAllBoolVal (Iterable<? estende i valori booleani>) 

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

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

 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 Double> valori) 

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

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

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

public TensorProto.Builder addAllHalfVal (Iterable<? estende Integer> valori) 

 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 Long> valori) 

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

public TensorProto.Builder addAllIntVal (Iterable<? estende Integer> valori) 

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

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Iterable<? estende i valori 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 i valori ByteString>) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? estende i valori Integer>) 

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

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

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

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (valore booleano) 

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

public TensorProto.Builder addDcomplexVal (doppio valore) 

 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 (doppio valore) 

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

public TensorProto.Builder addFloatVal (valore float) 

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

public TensorProto.Builder addHalfVal (valore 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 (valore lungo) 

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

public TensorProto.Builder addIntVal (valore 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, valore oggetto)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (indice int, valore ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (valore 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 (indice 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 (valore 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];

pubblico TensorProto.Builder addStringVal (valore com.google.protobuf.ByteString) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (valore int) 

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

public TensorProto.Builder addUint64Val (valore lungo) 

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

public TensorProto.Builder addVariantVal (valore VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (indice int, VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (indice int, valore 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 (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

build pubblica di TensorProto ()

public TensorProto buildPartial ()

pubblico TensorProto.Builder chiaro ()

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)

pubblico 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;

pubblico 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];

pubblico 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 version_number = 3;

clone pubblico di TensorProto.Builder ()

pubblico booleano getBoolVal (indice int) 

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

public int getBoolValCount () 

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

elenco pubblico<Booleano> getBoolValList () 

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

public double getDcomplexVal (indice 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];

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];

elenco pubblico<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];

pubblico TensorProto getDefaultInstanceForType ()

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

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

public double getDoubleVal (indice int) 

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

pubblico int getDoubleValCount () 

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

elenco pubblico<Double> 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 (indice int) 

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

public int getFloatValCount () 

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

elenco pubblico<Float> getFloatValList () 

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

public int getHalfVal (indice 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 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];

elenco pubblico<intero> 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];

pubblico lungo getInt64Val (indice int) 

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

pubblico int getInt64ValCount () 

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

elenco pubblico<Long> getInt64ValList () 

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

public int getIntVal (indice int) 

 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];

elenco pubblico<intero> getIntValList () 

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

public ResourceHandleProto getResourceHandleVal (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Elenco pubblico< ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Elenco pubblico< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Elenco pubblico<? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (indice 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];

elenco pubblico<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];

pubblico com.google.protobuf.ByteString getStringVal (indice int) 

 DT_STRING
repeated bytes string_val = 8;

public int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

elenco pubblico<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

pubblico 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 (indice int) 

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

pubblico int getUint32ValCount () 

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

elenco pubblico<intero> getUint32ValList () 

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

pubblico lungo getUint64Val (indice int) 

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

pubblico int getUint64ValCount () 

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

elenco pubblico<Long> getUint64ValList () 

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

public VariantTensorDataProto getVariantVal (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder getVariantValBuilder (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Elenco pubblico< VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Elenco pubblico< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Elenco pubblico<? estende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVersionNumber () 

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

pubblico booleano hasTensorShape () 

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

public final booleano isInitialized ()

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

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

Lancia
IOException

public TensorProto.Builder mergeTensorShape (valore TensorShapeProto ) 

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

pubblico finale TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

public TensorProto.Builder rimuoviResourceHandleVal (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder rimuoviVariantVal (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (indice int, valore booleano) 

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

public TensorProto.Builder setDcomplexVal (indice int, valore 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 setDoubleVal (indice int, valore double) 

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

public TensorProto.Builder setDtype (valore DataType )

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (valore int)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

public TensorProto.Builder setFloatVal (indice int, valore float) 

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

public TensorProto.Builder setHalfVal (indice int, valore 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 (indice int, valore lungo) 

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

public TensorProto.Builder setIntVal (indice int, valore 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, indice int, valore oggetto)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (indice int, valore ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (indice int, valore 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 setStringVal (indice int, valore com.google.protobuf.ByteString) 

 DT_STRING
repeated bytes string_val = 8;

pubblico TensorProto.Builder setTensorContent (valore 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 (valore 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 (IND INDIDE, Valore Int) 

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

Public TensorProto.Builder Setuint64Val (IND INDICE, Long Value) 

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

TensorProto.Builder finali pubblici (com.google.protobuf.unknownfieldset Unknownfields)

pubblico tensorproto.builder setVariantVal (IND INDEX, VarianTensordaProto Value) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Public TensorProto.Builder setVariantVal (Int Index, VarianTENSORDataProto.Builder BuilderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Public TensorProto.Builder SetVeVeRionNumber (Valore 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;