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

Da classe java.lang.Object

boleano	igual a (objeto arg0)
aula final <?>	getClass ()
int	hashCode ()
vazio final	notificar ()
vazio final	notificar tudo ()
Fragmento	toString ()
vazio final	espera (long arg0, int arg1)
vazio final	espera (long arg0)
vazio final	espera ()

Da interface org.tensorflow.proto.framework.TensorShapeProtoOrBuilder

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

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