TensorShapeProto

classe final pública TensorShapeProto

 Dimensions of a tensor.
Tipo de protobuf tensorflow.TensorShapeProto

Classes aninhadas

aula TensorShapeProto.Builder 
 Dimensions of a tensor. 
aula TensorShapeProto.Dim 
 One dimension of the tensor. 
interface TensorShapeProto.DimOrBuilder

Constantes

interno DIM_FIELD_NUMBER
interno UNKNOWN_RANK_FIELD_NUMBER

Métodos Públicos

booleano
é igual (objeto obj)
TensorShapeProto estático
getDefaultInstance ()
TensorShapeProto
getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
TensorShapeProto.Dim
getDim (índice interno) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
interno
getDimCount () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Lista< TensorShapeProto.Dim >
getDimList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (índice interno) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Lista<? estende TensorShapeProto.DimOrBuilder >
getDimOrBuilderList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
getParserForType ()
interno
getSerializedSize ()
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booleano
getUnknownRank () 
 If true, the number of dimensions in the shape is unknown.
interno
código hash ()
booleano final
éinicializado ()
TensorShapeProto.Builder estático
newBuilder (protótipo TensorShapeProto )
TensorShapeProto.Builder estático
novoConstrutor ()
TensorShapeProto.Builder
novoBuilderForType ()
TensorShapeProto estático
parseDelimitedFrom (entrada InputStream)
TensorShapeProto estático
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (dados de ByteBuffer)
TensorShapeProto estático
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (entrada com.google.protobuf.CodedInputStream)
TensorShapeProto estático
parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (dados com.google.protobuf.ByteString)
TensorShapeProto estático
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analisador ()
TensorShapeProto.Builder
paraConstrutor ()
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Constantes

int final estático público DIM_FIELD_NUMBER

Valor Constante: 2

público estático final int UNKNOWN_RANK_FIELD_NUMBER

Valor Constante: 3

Métodos Públicos

booleano público é igual (Object obj)

público estático TensorShapeProto getDefaultInstance ()

público TensorShapeProto getDefaultInstanceForType ()

final estático público 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<? estende 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 ()

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

getUnknownRank booleano público () 

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

hashCode int público ()

público final booleano isInitialized ()

público estático TensorShapeProto.Builder newBuilder (protótipo TensorShapeProto )

TensorShapeProto.Builder estático público newBuilder ()

público TensorShapeProto.Builder newBuilderForType ()

público estático TensorShapeProto parseDelimitedFrom (entrada InputStream)

Lança
IOException

public static TensorShapeProto parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

TensorShapeProto estático público parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
InvalidProtocolBufferException

public static TensorShapeProto parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

TensorShapeProto.Builder público paraBuilder ()

public void writeTo (saída com.google.protobuf.CodedOutputStream)

Lança
IOException