TensorShapeProto

classe final pública TensorShapeProto

 Dimensions of a tensor.
 

Protobuf tipo 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

boleano	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 ()
boleano	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

Da classe java.lang.Object

boleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	para sequenciar ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder

TensorShapeProto.Dim abstrato	getDim (índice interno) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
abstrato int	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Lista abstrata< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder abstrato	getDimOrBuilder (índice interno) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
lista abstrata<? estende TensorShapeProto.DimOrBuilder >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
booleano abstrato	getUnknownRank () If true, the number of dimensions in the shape is unknown.

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

público estático TensorShapeProto 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