TensorShapeProto

classe final pública TensorShapeProto

 Dimensions of a tensor.
tensorflow.TensorShapeProto type tensorflow.TensorShapeProto

Classes aninhadas

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

Constantes

int DIM_FIELD_NUMBER
int UNKNOWN_RANK_FIELD_NUMBER

Métodos Públicos

boleano
igual a (objeto obj)
TensorShapeProto estático
getDefaultInstance ()
TensorShapeProto
getDefaultInstanceForType ()
final static 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.
int
getDimCount ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
List < 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 ()
int
getSerializedSize ()
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
boleano
getUnknownRank ()
 If true, the number of dimensions in the shape is unknown.
int
hashCode ()
final booleano
isInitialized ()
static TensorShapeProto.Builder
newBuilder (protótipo TensorShapeProto )
static TensorShapeProto.Builder
newBuilder ()
TensorShapeProto.Builder
newBuilderForType ()
TensorShapeProto estático
parseDelimitedFrom (input InputStream)
TensorShapeProto estático
parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (dados ByteBuffer)
TensorShapeProto estático
parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (com.google.protobuf.CodedInputStream input)
TensorShapeProto estático
parseFrom (byte [] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (com.google.protobuf.ByteString data)
TensorShapeProto estático
parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto estático
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analisador ()
TensorShapeProto.Builder
toBuilder ()
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Constantes

public static final int DIM_FIELD_NUMBER

Valor constante: 2

public static final int UNKNOWN_RANK_FIELD_NUMBER

Valor Constante: 3

Métodos Públicos

public boolean equals (Object obj)

public static TensorShapeProto getDefaultInstance ()

public TensorShapeProto getDefaultInstanceForType ()

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

public TensorShapeProto.Dim getDim (int index) 

 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;

public List < 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 interno ) 

 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 ()

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 (protótipo TensorShapeProto )

public static TensorShapeProto.Builder newBuilder ()

public TensorShapeProto.Builder newBuilderForType ()

public static TensorShapeProto parseDelimitedFrom (InputStream input)

Lança
IOException

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

Lança
IOException

public static TensorShapeProto parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

public TensorShapeProto.Builder toBuilder ()

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

Lança
IOException