TensorShapeProto

clase final pública TensorShapeProto

 Dimensions of a tensor.
Protobuf tipo tensorflow.TensorShapeProto

Clases anidadas

clase TensorShapeProto.Builder 
 Dimensions of a tensor. 
clase TensorShapeProto.Dim 
 One dimension of the tensor. 
interfaz TensorShapeProto.DimOrBuilder

Constantes

entero DIM_FIELD_NUMBER
entero DESCONOCIDO_RANK_FIELD_NUMBER

Métodos públicos

booleano
es igual (Objeto obj)
TensorShapeProto estático
getDefaultInstancia ()
TensorShapeProto
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
obtenerDescriptor ()
TensorShapeProto.Dim
getDim (índice int) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
entero
obtenerDimCount () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Lista< TensorShapeProto.Dim >
obtenerDimList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (índice int) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Lista<? extiende TensorShapeProto.DimOrBuilder >
getDimOrBuilderList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
getParserForType ()
entero
getSerializedSize ()
com.google.protobuf.UnknownFieldSet final
obtener campos desconocidos ()
booleano
obtener rango desconocido () 
 If true, the number of dimensions in the shape is unknown.
entero
código hash ()
booleano final
está inicializado ()
TensorShapeProto.Builder estático
newBuilder (prototipo TensorShapeProto )
TensorShapeProto.Builder estático
nuevoConstructor ()
TensorShapeProto.Builder
nuevoBuilderForType ()
TensorShapeProto estático
parseDelimitedFrom (entrada de InputStream)
TensorShapeProto estático
parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (datos de ByteBuffer)
TensorShapeProto estático
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
TensorShapeProto estático
parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (entrada com.google.protobuf.CodedInputStream)
TensorShapeProto estático
parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (datos com.google.protobuf.ByteString)
TensorShapeProto estático
parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático
analizador ()
TensorShapeProto.Builder
al constructor ()
vacío
writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

Constantes

int final estático público DIM_FIELD_NUMBER

Valor constante: 2

int final estático público UNKNOWN_RANK_FIELD_NUMBER

Valor constante: 3

Métodos públicos

público booleano es igual (Objeto obj)

público estático TensorShapeProto getDefaultInstance ()

público TensorShapeProto getDefaultInstanceForType ()

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

público TensorShapeProto.Dim getDim (índice int) 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

público int getDimCount () 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Lista pública< TensorShapeProto.Dim > getDimList () 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

público TensorShapeProto.DimOrBuilder getDimOrBuilder (índice int) 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

Lista pública<? extiende TensorShapeProto.DimOrBuilder > getDimOrBuilderList () 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

público getParserForType ()

público int getSerializedSize ()

público final com.google.protobuf.UnknownFieldSet getUnknownFields ()

getUnknownRank público booleano () 

 If true, the number of dimensions in the shape is unknown.
 If true, "dim.size()" must be 0.
bool unknown_rank = 3;

código hash int público ()

público final booleano isInitialized ()

público estático TensorShapeProto.Builder newBuilder (prototipo TensorShapeProto )

público estático TensorShapeProto.Builder newBuilder ()

público TensorShapeProto.Builder newBuilderForType ()

TensorShapeProto estático público parseDelimitedFrom (entrada de InputStream)

Lanza
IOExcepción

TensorShapeProto estático público parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOExcepción

público estático TensorShapeProto parseFrom (datos ByteBuffer)

Lanza
Excepción de buffer de protocolo no válido

parseFrom público estático de TensorShapeProto (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza
IOExcepción

público estático TensorShapeProto parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
Excepción de buffer de protocolo no válido

parseFrom público estático de TensorShapeProto (entrada com.google.protobuf.CodedInputStream)

Lanza
IOExcepción

público estático TensorShapeProto parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
Excepción de buffer de protocolo no válido

público estático TensorShapeProto parseFrom (datos com.google.protobuf.ByteString)

Lanza
Excepción de buffer de protocolo no válido

público estático TensorShapeProto parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOExcepción

público estático TensorShapeProto parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
Excepción de buffer de protocolo no válido

estática pública analizador ()

público TensorShapeProto.Builder toBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

Lanza
IOExcepción