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

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