TensorProto.Builder

публичный статический финальный класс TensorProto.Builder

 Protocol buffer representing a tensor.
 
Тип Protobuf tensorflow.TensorProto

Публичные методы

TensorProto.Builder
addAllBoolVal (Iterable<? расширяет логические значения>)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? расширяет значения Double>)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? расширяет значения Double>)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? расширяет значения Float>)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? расширяет целые значения>)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (Iterable<? расширяет значения Long>)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? расширяет значения Integer>)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? расширяет значения ResourceHandleProto >)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? расширяет значения Float>)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? расширяет значения ByteString>)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? расширяет целочисленные значения>)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (Iterable<? расширяет значения Long>)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? расширяет значения VariantTensorDataProto >)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (логическое значение)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (двойное значение)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (двойное значение)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (плавающее значение)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (целое значение)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (длинное значение)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (целое значение)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
TensorProto.Builder
addResourceHandleVal (индекс int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (индекс int, значение ResourceHandleProto )
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (значение 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 (индекс 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 (число с плавающей запятой)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (значение com.google.protobuf.ByteString)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (целое значение)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (длинное значение)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal (значение VariantTensorDataProto )
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (индекс int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (индекс int, значение VariantTensorDataProto )
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal ( VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ВариантTensorDataProto.Builder
addVariantValBuilder (индекс целого числа)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ВариантTensorDataProto.Builder
добавитьВариантВалБилдер ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ТензорПрото
ТензорПрото
TensorProto.Builder
TensorProto.Builder
ОчиститьБулВал ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
ClearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
TensorProto.Builder
ОчиститьДтип ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
TensorProto.Builder
очиститьHalfVal ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
очиститьИнт64Вал ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
очиститьИнтВал ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder
ОчиститьРесаурцеХандлеВал ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
ClearScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
ОчиститьСтрокуВал ()
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
очиститьТензорКонтент ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
ОчиститьТензорШейп ()
 Shape of the tensor.
TensorProto.Builder
очиститьUint32Val ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
очиститьUint64Val ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
ОчиститьВариантВал ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
TensorProto.Builder
логическое значение
getBoolVal (индекс целого числа)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
интервал
getBoolValCount ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
Список<логическое значение>
getBoolValList ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
двойной
getDcomplexVal (индекс целого числа)
 DT_COMPLEX128.
интервал
getDcomplexValCount ()
 DT_COMPLEX128.
Список<Двойной>
getDcomplexValList ()
 DT_COMPLEX128.
ТензорПрото
окончательный статический com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
двойной
getDoubleVal (индекс целого числа)
 DT_DOUBLE.
интервал
Список<Двойной>
Тип данных
getDtype ()
.tensorflow.DataType dtype = 1;
интервал
getDtypeValue ()
.tensorflow.DataType dtype = 1;
плавать
getFloatVal (индекс целого числа)
 DT_FLOAT.
интервал
getFloatValCount ()
 DT_FLOAT.
Список<С плавающей запятой>
getFloatValList ()
 DT_FLOAT.
интервал
getHalfVal (целочисленный индекс)
 DT_HALF, DT_BFLOAT16.
интервал
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Список<Целое число>
получитьПолуваллист ()
 DT_HALF, DT_BFLOAT16.
длинный
getInt64Val (целочисленный индекс)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
интервал
getInt64ValCount ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
Список<длинный>
getInt64ValList ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
интервал
getIntVal (целочисленный индекс)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
интервал
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Список<Целое число>
получитьИнтваллист ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
РесурсХандлеПрото
getResourceHandleVal (индекс целого числа)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (индекс int)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Список < ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
интервал
getResourceHandleValCount ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Список< РесаурцеХандлеПрото >
getResourceHandleValList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
РесурсХандлеПротоОрБилдер
getResourceHandleValOrBuilder (индекс int)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Список<? расширяет ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
плавать
getScomplexVal (индекс целого числа)
 DT_COMPLEX64.
интервал
getScomplexValCount ()
 DT_COMPLEX64.
Список<С плавающей запятой>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (целочисленный индекс)
 DT_STRING
 
repeated bytes string_val = 8;
интервал
getStringValCount ()
 DT_STRING
 
repeated bytes string_val = 8;
Список<ByteString>
getStringValList ()
 DT_STRING
 
repeated bytes string_val = 8;
com.google.protobuf.ByteString
получитьTensorContent ()
 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.
интервал
getUint32Val (индекс целого числа)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
интервал
getUint32ValCount ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
Список<Целое число>
getUint32ValList ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
длинный
getUint64Val (индекс целого числа)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
интервал
getUint64ValCount ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
Список<длинный>
getUint64ValList ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
ВариантTensorDataProto
getVariantVal (индекс целого числа)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ВариантTensorDataProto.Builder
getVariantValBuilder (индекс int)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Список < VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
интервал
getVariantValCount ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Список <VariantTensorDataProto>
getVariantValList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ВариантTensorDataProtoOrBuilder
getVariantValOrBuilder (индекс int)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Список<? расширяет VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
интервал
логическое значение
имеетТензорШейп ()
 Shape of the tensor.
последнее логическое значение
TensorProto.Builder
mergeFrom (com.google.protobuf.Message другое)
TensorProto.Builder
mergeFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
TensorProto.Builder
mergeTensorShape (значение TensorShapeProto )
 Shape of the tensor.
окончательный TensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
TensorProto.Builder
RemoveResourceHandleVal (индекс целого числа)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
удалитьVariantVal (индекс целого числа)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (целочисленный индекс, логическое значение)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (индекс int, двойное значение)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (индекс int, двойное значение)
 DT_DOUBLE.
TensorProto.Builder
setDtype (значение типа данных )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (целое значение)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
TensorProto.Builder
setFloatVal (целочисленный индекс, значение с плавающей запятой)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (целое число, целое значение)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (целочисленный индекс, длинное значение)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (целочисленный индекс, целочисленное значение)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)
TensorProto.Builder
setResourceHandleVal (индекс int, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (индекс int, значение ResourceHandleProto )
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (индекс int, значение с плавающей запятой)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (индекс int, значение com.google.protobuf.ByteString)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (значение com.google.protobuf.ByteString)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape (значение TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (целочисленный индекс, целочисленное значение)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (индекс int, длинное значение)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
окончательный TensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
TensorProto.Builder
setVariantVal (индекс int, значение VariantTensorDataProto )
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (индекс int, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (целое значение)
 Version number.

Унаследованные методы

Публичные методы

public TensorProto.Builder addAllBoolVal (Iterable<? расширяет логические значения>)

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

public TensorProto.Builder addAllDcomplexVal (Iterable<? расширяет значения 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<? расширяет значения Double>)

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

public TensorProto.Builder addAllFloatVal (Iterable<? расширяет значения Float>)

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

public TensorProto.Builder addAllHalfVal (Iterable<? расширяет значения 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<? расширяет значения Long>)

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

public TensorProto.Builder addAllIntVal (Iterable<? расширяет значения Integer>)

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

public TensorProto.Builder addAllResourceHandleVal (Iterable<? расширяет значения ResourceHandleProto >)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Iterable<? расширяет значения 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<? расширяет значения ByteString>)

 DT_STRING
 
repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? расширяет значения Integer>)

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

public TensorProto.Builder addAllUint64Val (Iterable<? расширяет значения Long>)

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

public TensorProto.Builder addAllVariantVal (Iterable<? расширяет значения VariantTensorDataProto >)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (логическое значение)

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

public TensorProto.Builder addDcomplexVal (двойное значение)

 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 (двойное значение)

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

public TensorProto.Builder addFloatVal (значение с плавающей запятой)

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

public TensorProto.Builder addHalfVal (целое значение)

 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 (длинное значение)

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

public TensorProto.Builder addIntVal (целое значение)

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

public TensorProto.Builder addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

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

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (индекс int, значение ResourceHandleProto )

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (значение 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 (индекс int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступный ResourceHandleProto.Builder addResourceHandleValBuilder ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addScomplexVal (число с плавающей запятой)

 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];

общедоступный TensorProto.Builder addStringVal (значение com.google.protobuf.ByteString)

 DT_STRING
 
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (целое значение)

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

public TensorProto.Builder addUint64Val (длинное значение)

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

public TensorProto.Builder addVariantVal (значение VariantTensorDataProto )

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (индекс int, значение 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 (индекс int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступный VariantTensorDataProto.Builder addVariantValBuilder ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступная сборка TensorProto ()

общедоступная сборка TensorProtoPartial ()

общедоступный TensorProto.Builder очистить ()

общедоступный TensorProto.Builder ClearBoolVal ()

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

общедоступный 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];

общедоступный TensorProto.Builder ClearDoubleVal ()

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

общедоступный TensorProto.Builder ClearDtype ()

.tensorflow.DataType dtype = 1;

общедоступный TensorProto.Builder ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)

общедоступный TensorProto.Builder ClearFloatVal ()

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

общедоступный 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];

общедоступный TensorProto.BuildercleInt64Val ( )

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

общедоступный TensorProto.Builder ClearIntVal ()

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

общедоступный TensorProto.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

общедоступный TensorProto.Builder ClearResourceHandleVal ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступный 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];

общедоступный TensorProto.Builder ClearStringVal ()

 DT_STRING
 
repeated bytes string_val = 8;

общедоступный 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;

общедоступный TensorProto.Builder ClearTensorShape ()

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

общедоступный TensorProto.Builder ClearUint32Val ()

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

общедоступный TensorProto.Builder ClearUint64Val ()

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

общедоступный TensorProto.Builder ClearVariantVal ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступный 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;

общедоступный клон TensorProto.Builder ()

общедоступное логическое значение getBoolVal (индекс int)

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

public int getBoolValCount ()

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

общедоступный список<Boolean> getBoolValList ()

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

общедоступный двойной getDcomplexVal (индекс 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];

общедоступный список<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];

общественный TensorProto getDefaultInstanceForType ()

общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public double getDoubleVal (индекс int)

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

public int getDoubleValCount ()

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

общедоступный список<Double> getDoubleValList ()

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

общедоступный тип данных getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

общедоступное число с плавающей запятой getFloatVal (индекс int)

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

public int getFloatValCount ()

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

общедоступный список<Float> getFloatValList ()

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

public int getHalfVal (индекс 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];

общедоступный список<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 (индекс int)

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

public int getInt64ValCount ()

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

общедоступный список<Long> getInt64ValList ()

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

public int getIntVal (индекс 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];

общедоступный список<Integer> getIntValList ()

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

public ResourceHandleProto getResourceHandleVal (индекс int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (индекс int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступный список < ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступный список < ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (индекс int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступный список<? расширяет ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

общедоступное число с плавающей запятой getScomplexVal (индекс 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];

общедоступный список<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 (индекс int)

 DT_STRING
 
repeated bytes string_val = 8;

public int getStringValCount ()

 DT_STRING
 
repeated bytes string_val = 8;

общедоступный список<ByteString> getStringValList ()

 DT_STRING
 
repeated bytes string_val = 8;

общедоступный 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;

общественный TensorShapeProto getTensorShape ()

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

общедоступный 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 (индекс int)

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

public int getUint32ValCount ()

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

общедоступный список<Integer> getUint32ValList ()

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

public long getUint64Val (индекс int)

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

public int getUint64ValCount ()

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

общедоступный список<Long> getUint64ValList ()

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

public VariantTensorDataProto getVariantVal (индекс int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder getVariantValBuilder (индекс int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступный список < VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступный список < VariantTensorDataProto > getVariantValList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (индекс int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

общедоступный список<? расширяет 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;

общедоступное логическое значение hasTensorShape ()

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

публичное финальное логическое значение isInitialized ()

общедоступный TensorProto.Builder mergeFrom (com.google.protobuf.Message другое)

общедоступный TensorProto.Builder mergeFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски
Исключение IO

public TensorProto.Builder mergeTensorShape (значение TensorShapeProto )

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

публичный финальный TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public TensorProto.Builder RemoveResourceHandleVal (индекс int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder RemoveVariantVal (индекс int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (индекс int, логическое значение)

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

public TensorProto.Builder setDcomplexVal (индекс int, двойное значение)

 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 (индекс int, двойное значение)

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

public TensorProto.Builder setDtype (значение DataType )

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (целое значение)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

public TensorProto.Builder setFloatVal (индекс int, значение с плавающей запятой)

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

public TensorProto.Builder setHalfVal (индекс int, значение 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 (индекс int, длинное значение)

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

public TensorProto.Builder setIntVal (индекс int, значение int)

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

public TensorProto.Builder setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)

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

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (индекс int, значение ResourceHandleProto )

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (индекс int, значение с плавающей запятой)

 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 (индекс int, значение com.google.protobuf.ByteString)

 DT_STRING
 
repeated bytes string_val = 8;

общедоступный TensorProto.Builder setTensorContent (значение 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 (значение 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 (индекс int, значение int)

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

public TensorProto.Builder setUint64Val (индекс int, длинное значение)

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

публичный финальный TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public TensorProto.Builder setVariantVal (индекс int, значение VariantTensorDataProto )

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVersionNumber (целое значение)

 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;