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 à (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

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