TensorProto.Builder

publiczna statyczna klasa końcowa TensorProto.Builder

 Protocol buffer representing a tensor.
Protobuf typu tensorflow.TensorProto

Metody publiczne

TensorProto.Builder
addAllBoolVal (Iterable<? rozszerza wartości Boolean>)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (wartości Iterable<? rozszerza Double>)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (wartości Iterable<? rozszerza Double>)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (wartości Iterable<? rozszerza Float>)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? rozszerza wartości Integer>)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (wartości Iterable<? rozszerza Long>)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? rozszerza wartości Integer>)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? rozszerza ResourceHandleProto > wartości)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (wartości Iterable<? rozszerza Float>)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? rozszerza wartości ByteString>)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? rozszerza wartości Integer>)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (wartości Iterable<? rozszerza Long>)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? rozszerza wartości VariantTensorDataProto >)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (wartość logiczna)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (podwójna wartość)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (podwójna wartość)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (wartość zmiennoprzecinkowa)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (wartość int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (długa wartość)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (wartość int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
TensorProto.Builder
addResourceHandleVal (indeks int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (indeks int, wartość ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (wartość 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 (indeks 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 (wartość zmiennoprzecinkowa)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (wartość com.google.protobuf.ByteString)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (wartość int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (długa wartość)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal (wartość VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (indeks int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (indeks int, wartość 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 (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto
zbudować ()
TensorProto
kompilacjaCzęściowa ()
TensorProto.Builder
jasne ()
TensorProto.Builder
clearBoolVal ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
clearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
wyczyśćDoubleVal ()
 DT_DOUBLE.
TensorProto.Builder
wyczyść typ ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (pole com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
clearFloatVal ()
 DT_FLOAT.
TensorProto.Builder
wyczyśćHalfVal ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
wyczyśćInt64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
wyczyśćIntVal ()
 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
wyczyśćTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
wyczyśćTensorShape ()
 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
wyczyśćWartośćWariantu ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
wyczyśćNumer wersji ()
 Version number.
TensorProto.Builder
klon ()
wartość logiczna
getBoolVal (indeks int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
wew
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista<Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
podwójnie
getDcomplexVal (indeks int)
 DT_COMPLEX128.
wew
getDcomplexValCount ()
 DT_COMPLEX128.
Lista<Podwójne>
getDcomplexValList ()
 DT_COMPLEX128.
TensorProto
getDefaultInstanceForType ()
końcowy statyczny com.google.protobuf.Descriptors.Descriptor
pobierzDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
podwójnie
getDoubleVal (indeks int)
 DT_DOUBLE.
wew
getDoubleValCount ()
 DT_DOUBLE.
Lista<Podwójne>
getDoubleValList ()
 DT_DOUBLE.
Typ danych
getDtype ()
.tensorflow.DataType dtype = 1;
wew
getDtypeValue ()
.tensorflow.DataType dtype = 1;
platforma
getFloatVal (indeks int)
 DT_FLOAT.
wew
getFloatValCount ()
 DT_FLOAT.
Lista<Float>
getFloatValList ()
 DT_FLOAT.
wew
getHalfVal (indeks int)
 DT_HALF, DT_BFLOAT16.
wew
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Lista<liczba całkowita>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
długi
getInt64Val (indeks int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
wew
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista<Długa>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
wew
getIntVal (indeks int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
wew
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista<liczba całkowita>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
wew
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista<? rozszerza ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
platforma
getScomplexVal (indeks int)
 DT_COMPLEX64.
wew
getScomplexValCount ()
 DT_COMPLEX64.
Lista<Float>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (indeks int)
 DT_STRING
repeated bytes string_val = 8;
wew
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Lista<ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
pobierzTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto
pobierzTensorShape ()
 Shape of the tensor.
TensorShapeProto.Builder
getTensorShapeBuilder ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
wew
getUint32Val (indeks int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
wew
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista<liczba całkowita>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
długi
getUint64Val (indeks int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
wew
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista<Długa>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
wew
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista <VariantTensorDataProto>
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista<? rozszerza VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
wew
pobierz numer wersji ()
 Version number.
wartość logiczna
maTensorShape ()
 Shape of the tensor.
końcowa wartość logiczna
jest zainicjowany ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Wiadomość inna)
TensorProto.Builder
mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
TensorProto.Builder
mergeTensorShape (wartość TensorShapeProto )
 Shape of the tensor.
końcowy TensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)
TensorProto.Builder
usuńResourceHandleVal (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
usuńVariantVal (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (indeks int, wartość logiczna)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (indeks, wartość podwójna)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (indeks int, wartość podwójna)
 DT_DOUBLE.
TensorProto.Builder
setDtype (wartość typu danych )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (wartość int)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
TensorProto.Builder
setFloatVal (indeks int, wartość zmiennoprzecinkowa)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (int indeks, int wartość)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (indeks int, wartość długa)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (int indeks, int wartość)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)
TensorProto.Builder
setResourceHandleVal (indeks int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (indeks int, wartość ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (indeks int, wartość zmiennoprzecinkowa)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (indeks int, wartość com.google.protobuf.ByteString)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (wartość com.google.protobuf.ByteString)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape (wartość TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (indeks int, wartość int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (indeks int, wartość długa)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
końcowy TensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)
TensorProto.Builder
setVariantVal (indeks int, wartość VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (indeks int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (wartość int)
 Version number.

Metody dziedziczone

Metody publiczne

public TensorProto.Builder addAllBoolVal (wartości Iterable<? rozszerza Boolean>) 

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

public TensorProto.Builder addAllDcomplexVal (wartości Iterable<? rozszerza 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 (wartości Iterable<? rozszerza Double>) 

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

public TensorProto.Builder addAllFloatVal (wartości Iterable<? rozszerza Float>) 

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

public TensorProto.Builder addAllHalfVal (wartości Iterable<? rozszerza 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 (wartości Iterable<? rozszerza Long>) 

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

public TensorProto.Builder addAllIntVal (wartości Iterable<? rozszerza Integer>) 

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

public TensorProto.Builder addAllResourceHandleVal (Iterable<? rozszerza ResourceHandleProto > wartości) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (wartości Iterable<? rozszerza 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 (wartości Iterable<? rozszerza ByteString>) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (wartości Iterable<? rozszerza Integer>) 

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

public TensorProto.Builder addAllUint64Val (wartości iterowalne<? rozszerza długie>) 

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

public TensorProto.Builder addAllVariantVal (Iterable<? rozszerza wartości VariantTensorDataProto >) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (wartość logiczna) 

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

public TensorProto.Builder addDcomplexVal (wartość podwójna) 

 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 (podwójna wartość) 

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

public TensorProto.Builder addFloatVal (wartość zmiennoprzecinkowa) 

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

public TensorProto.Builder addHalfVal (wartość 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 (długa wartość) 

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

public TensorProto.Builder addIntVal (wartość int) 

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

public TensorProto.Builder addRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (indeks int, wartość ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (wartość 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 (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczny ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addScomplexVal (wartość zmiennoprzecinkowa) 

 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 (wartość com.google.protobuf.ByteString) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (wartość int) 

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

public TensorProto.Builder addUint64Val (długa wartość) 

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

public TensorProto.Builder addVariantVal (wartość VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (indeks int, wartość 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 (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczna kompilacja TensorProto ()

publiczny TensorProto buildPartial ()

publiczny TensorProto.Builder wyczyść ()

publiczny 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];

publiczny TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

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

publiczny 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];

publiczny 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;

publiczny TensorProto.Builder clearTensorShape () 

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

publiczny TensorProto.Builder clearUint32Val () 

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

publiczny 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;

publiczny klon TensorProto.Builder ()

publiczna wartość logiczna getBoolVal (indeks int) 

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

publiczny int getBoolValCount () 

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

public List<Boolean> getBoolValList () 

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

public double getDcomplexVal (indeks 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];

publiczny 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];

public List<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];

publiczny TensorProto getDefaultInstanceForType ()

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

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

public double getDoubleVal (indeks int) 

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

publiczny int getDoubleValCount () 

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

public List<Double> getDoubleValList () 

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

publiczny typ danych getDtype ()

.tensorflow.DataType dtype = 1;

publiczny int getDtypeValue ()

.tensorflow.DataType dtype = 1;

publiczny float getFloatVal (indeks int) 

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

publiczny int getFloatValCount () 

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

public List<Float> getFloatValList () 

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

public int getHalfVal (indeks 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];

publiczny 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];

publiczny długi getInt64Val (indeks int) 

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

publiczny int getInt64ValCount () 

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

lista publiczna<Long> getInt64ValList () 

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

public int getIntVal (indeks int) 

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

publiczny 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];

publiczny ResourceHandleProto getResourceHandleVal (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczny ResourceHandleProto.Builder getResourceHandleValBuilder (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List< ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczny ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

lista publiczna<? rozszerza ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczny float getScomplexVal (indeks 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];

publiczny 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];

public List<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 (indeks int) 

 DT_STRING
repeated bytes string_val = 8;

publiczny int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

public List<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;

publiczny TensorShapeProto getTensorShape () 

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

publiczny TensorShapeProto.Builder getTensorShapeBuilder () 

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

publiczny TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public int getUint32Val (indeks int) 

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

publiczny int getUint32ValCount () 

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

public List<Integer> getUint32ValList () 

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

publiczny długi getUint64Val (indeks int) 

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

publiczny int getUint64ValCount () 

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

lista publiczna<Long> getUint64ValList () 

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

public VariantTensorDataProto getVariantVal (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder getVariantValBuilder (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List< VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczny int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

lista publiczna<? rozszerza VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczny 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;

publiczna wartość logiczna hasTensorShape () 

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

publiczna końcowa wartość logiczna isInitialized ()

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

publiczny TensorProto.Builder mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Wyjątek IO

public TensorProto.Builder mergeTensorShape (wartość TensorShapeProto ) 

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

publiczny końcowy TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public TensorProto.Builder usuńResourceHandleVal (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder usuńVariantVal (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (indeks int, wartość logiczna) 

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

public TensorProto.Builder setDcomplexVal (indeks int, wartość podwójna) 

 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 (indeks, wartość podwójna) 

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

public TensorProto.Builder setDtype (wartość typu danych )

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (wartość int)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

public TensorProto.Builder setFloatVal (indeks int, wartość zmiennoprzecinkowa) 

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

public TensorProto.Builder setHalfVal (indeks, wartość 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 (indeks int, wartość długa) 

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

public TensorProto.Builder setIntVal (indeks int, wartość int) 

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

public TensorProto.Builder setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (indeks int, wartość ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (indeks int, wartość zmiennoprzecinkowa) 

 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 (indeks int, wartość com.google.protobuf.ByteString) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder setTensorContent (wartość 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 (wartość 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 (indeks, wartość int) 

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

public TensorProto.Builder setUint64Val (indeks, wartość długa) 

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

publiczny końcowy TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public TensorProto.Builder setVariantVal (indeks int, wartość VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVersionNumber (wartość 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;