TensorShapeProto

genel final sınıfı TensorShapeProto

 Dimensions of a tensor.
Protobuf türü tensorflow.TensorShapeProto

İç İçe Sınıflar

sınıf TensorShapeProto.Builder 
 Dimensions of a tensor. 
sınıf TensorShapeProto.Dim 
 One dimension of the tensor. 
arayüz TensorShapeProto.DimOrBuilder

Sabitler

int DIM_FIELD_NUMBER
int UNKNOWN_RANK_FIELD_NUMBER

Genel Yöntemler

boolean
eşittir (Nesne nesnesi)
statik TensorShapeProto
getDefaultInstance ()
TensorShapeProto
getDefaultInstanceForType ()
final statik com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
TensorShapeProto.Dim
getDim (int dizini) 
 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 (int dizini) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Liste<? TensorShapeProto.DimOrBuilder'ı genişletir >
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 ()
boolean
getUnknownRank () 
 If true, the number of dimensions in the shape is unknown.
int
hashKodu ()
son boole değeri
Başlatıldı ()
statik TensorShapeProto.Builder
yeniİnşaatçı ( TensorShapeProto prototipi)
statik TensorShapeProto.Builder
yeniİnşaatçı ()
TensorShapeProto.Builder
yeniBuilderForType ()
statik TensorShapeProto
parseDelimitedFrom (InputStream girişi)
statik TensorShapeProto
parseDelimitedFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorShapeProto
parseFrom (ByteBuffer verileri)
statik TensorShapeProto
parseFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorShapeProto
parseFrom (ByteBuffer verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorShapeProto
ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi)
statik TensorShapeProto
parseFrom (byte[] verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorShapeProto
ayrıştırmaFrom (com.google.protobuf.ByteString verileri)
statik TensorShapeProto
parseFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorShapeProto
parseFrom (com.google.protobuf.ByteString verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik
ayrıştırıcı ()
TensorShapeProto.Builder
inşaatçıya ()
geçersiz
writeTo (com.google.protobuf.CodedOutputStream çıkışı)

Kalıtsal Yöntemler

Sabitler

genel statik final int DIM_FIELD_NUMBER

Sabit Değer: 2

genel statik final int UNKNOWN_RANK_FIELD_NUMBER

Sabit Değer: 3

Genel Yöntemler

genel boole eşittir (Object obj)

genel statik TensorShapeProto getDefaultInstance ()

genel TensorShapeProto getDefaultInstanceForType ()

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

public TensorShapeProto.Dim getDim (int dizini) 

 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;

genel Liste< 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 (int dizini) 

 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;

genel liste<? TensorShapeProto.DimOrBuilder'ı genişletir > 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;

halk getParserForType ()

public int getSerializedSize ()

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

genel boolean getUnknownRank () 

 If true, the number of dimensions in the shape is unknown.
 If true, "dim.size()" must be 0.
bool unknown_rank = 3;

genel int hashCode ()

genel final boolean isInitialized ()

genel statik TensorShapeProto.Builder newBuilder ( TensorShapeProto prototipi)

genel statik TensorShapeProto.Builder newBuilder ()

herkese açık TensorShapeProto.Builder newBuilderForType ()

genel statik TensorShapeProto ayrıştırmaDelimitedFrom (InputStream girişi)

Atar
IOİstisnası

genel statik TensorShapeProto parseDelimitedFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorShapeProto ayrıştırmaFrom (ByteBuffer verileri)

Atar
Geçersiz ProtokolBufferException

genel statik TensorShapeProto ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorShapeProto ayrıştırmaFrom (ByteBuffer verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik TensorShapeProto ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi)

Atar
IOİstisnası

genel statik TensorShapeProto ayrıştırmaFrom (bayt[] verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik TensorShapeProto ayrıştırmaFrom (com.google.protobuf.ByteString verileri)

Atar
Geçersiz ProtokolBufferException

genel statik TensorShapeProto parseFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorShapeProto ayrıştırmaFrom (com.google.protobuf.ByteString verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik ayrıştırıcı ()

herkese açık TensorShapeProto.Builder toBuilder ()

genel geçersiz writeTo (com.google.protobuf.CodedOutputStream çıkışı)

Atar
IOİstisnası