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

En t	DIM_FIELD_NUMBER
En t	UNKNOWN_RANK_FIELD_NUMBER

Métodos públicos

booleano	es igual a (Objeto obj)
estático TensorShapeProto	getDefaultInstance ()
TensorShapeProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	getDescriptor ()
TensorShapeProto.Dim	getDim (índice int) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
En t	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 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 ()
En t	getSerializedSize ()
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booleano	getUnknownRank () If true, the number of dimensions in the shape is unknown.
En t	hashCode ()
booleano final	isInitialized ()
estático TensorShapeProto.Builder	newBuilder (prototipo de TensorShapeProto )
estático TensorShapeProto.Builder	newBuilder ()
TensorShapeProto.Builder	newBuilderForType ()
estático TensorShapeProto	parseDelimitedFrom (entrada InputStream)
estático TensorShapeProto	parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorShapeProto	parseFrom (datos ByteBuffer)
estático TensorShapeProto	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorShapeProto	parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorShapeProto	parseFrom (entrada com.google.protobuf.CodedInputStream)
estático TensorShapeProto	parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorShapeProto	parseFrom (datos com.google.protobuf.ByteString)
estático TensorShapeProto	parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorShapeProto	parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático	analizador ()
TensorShapeProto.Builder	toBuilder ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

De la clase java.lang.Object

booleano	es igual a (Objeto arg0)
Clase final <?>	getClass ()
En t	hashCode ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cuerda	toString ()
vacío final	esperar (largo arg0, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.TensorShapeProtoOrBuilder

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

Constantes

public static final int DIM_FIELD_NUMBER

Valor constante: 2

público estático final int UNKNOWN_RANK_FIELD_NUMBER

Valor constante: 3

Métodos públicos

public boolean es igual a (Object obj)

public static TensorShapeProto getDefaultInstance ()

public TensorShapeProto getDefaultInstanceForType ()

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

public 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;

public 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;

public 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 ()

public int getSerializedSize ()

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

public boolean getUnknownRank ()

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

bool unknown_rank = 3;

public int hashCode ()

public final boolean isInitialized ()

public static TensorShapeProto.Builder newBuilder (prototipo de TensorShapeProto )

public static TensorShapeProto.Builder newBuilder ()

public TensorShapeProto.Builder newBuilderForType ()

public static TensorShapeProto parseDelimitedFrom (InputStream input)

Lanza

IOException

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

Lanza

IOException

público estático TensorShapeProto parseFrom (datos ByteBuffer)

Lanza

InvalidProtocolBufferException

public static TensorShapeProto parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOException

public static TensorShapeProto parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

InvalidProtocolBufferException

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

Lanza

IOException

public static TensorShapeProto parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

InvalidProtocolBufferException

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

Lanza

InvalidProtocolBufferException

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

Lanza

IOException

public static TensorShapeProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

InvalidProtocolBufferException

público estático analizador ()

public TensorShapeProto.Builder toBuilder ()

public void writeTo (salida de com.google.protobuf.CodedOutputStream)

Lanza

IOException