TensorShapeProto

classe finale publique TensorShapeProto

 Dimensions of a tensor.
 

tensorflow.TensorShapeProto de type Protobuf.TensorShapeProto

Classes imbriquées

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

Constantes

int	DIM_FIELD_NUMBER
int	UNKNOWN_RANK_FIELD_NUMBER

Méthodes publiques

booléen	est égal (Obj objet)
TensorShapeProto statique	getDefaultInstance ()
TensorShapeProto	getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
TensorShapeProto.Dim	getDim (index entier) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
int	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Liste< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder	getDimOrBuilder (index int) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Liste<? étend TensorShapeProto.DimOrBuilder >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
	getParserForType ()
int	getSerializedSize ()
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booléen	getUnknownRank () If true, the number of dimensions in the shape is unknown.
int	Code de hachage ()
booléen final	estInitialisé ()
TensorShapeProto.Builder statique	newBuilder (prototype TensorShapeProto )
TensorShapeProto.Builder statique	nouveauBuilder ()
TensorShapeProto.Builder	nouveauBuilderForType ()
TensorShapeProto statique	parseDelimitedFrom (entrée InputStream)
TensorShapeProto statique	parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statique	parseFrom (données ByteBuffer)
TensorShapeProto statique	parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statique	parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statique	parseFrom (entrée com.google.protobuf.CodedInputStream)
TensorShapeProto statique	parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statique	parseFrom (données com.google.protobuf.ByteString)
TensorShapeProto statique	parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statique	parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique	analyseur ()
TensorShapeProto.Builder	toBuilder ()
vide	writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder

abstrait TensorShapeProto.Dim	getDim (index entier) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
abstrait entier	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Liste abstraite< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
abstrait TensorShapeProto.DimOrBuilder	getDimOrBuilder (index int) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
Liste abstraite <? étend TensorShapeProto.DimOrBuilder >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
booléen abstrait	getUnknownRank () If true, the number of dimensions in the shape is unknown.

Constantes

public statique final int DIM_FIELD_NUMBER

Valeur constante : 2

public statique final int UNKNOWN_RANK_FIELD_NUMBER

Valeur constante : 3

Méthodes publiques

public booléen égal (Objet obj)

TensorShapeProto statique public getDefaultInstance ()

public TensorShapeProto getDefaultInstanceForType ()

public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public TensorShapeProto.Dim getDim (index 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;

liste publique < 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 (index 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;

Liste publique <? étend 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;

publique getParserForType ()

public int getSerializedSize ()

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

public booléen getUnknownRank ()

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

bool unknown_rank = 3;

code de hachage int public ()

public final booléen isInitialized ()

public statique TensorShapeProto.Builder newBuilder (prototype TensorShapeProto )

public statique TensorShapeProto.Builder newBuilder ()

public TensorShapeProto.Builder newBuilderForType ()

public static TensorShapeProto parseDelimitedFrom (entrée InputStream)

Jetés

IOException

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

Jetés

IOException

TensorShapeProto statique public parseFrom (données ByteBuffer)

Jetés

InvalidProtocolBufferException

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

Jetés

IOException

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

Jetés

InvalidProtocolBufferException

TensorShapeProto parseFrom statique public (entrée com.google.protobuf.CodedInputStream)

Jetés

IOException

TensorShapeProto parseFrom statique public (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

TensorShapeProto parseFrom statique public (données com.google.protobuf.ByteString)

Jetés

InvalidProtocolBufferException

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

Jetés

IOException

TensorShapeProto parseFrom statique public (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique analyseur ()

public TensorShapeProto.Builder toBuilder ()

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

Jetés

IOException