TensorShapeProto

TensorShapeProto kelas akhir publik

 Dimensions of a tensor.
Protobuf tipe tensorflow.TensorShapeProto

Kelas Bersarang

kelas TensorShapeProto.Builder
 Dimensions of a tensor. 
kelas TensorShapeProto.Dim
 One dimension of the tensor. 
antarmuka TensorShapeProto.DimOrBuilder

Konstanta

ke dalam DIM_FIELD_NUMBER
ke dalam UNKNOWN_RANK_FIELD_NUMBER

Metode Publik

boolean
sama dengan (Objek objek)
TensorShapeProto statis
dapatkanDefaultInstance ()
TensorBentukProto
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
TensorShapeProto.Dim
getDim (indeks int)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
ke dalam
dapatkan DimCount ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Daftar< TensorShapeProto.Dim >
dapatkanDimList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (indeks int)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
Daftar<? memperluas TensorShapeProto.DimOrBuilder >
dapatkanDimOrBuilderList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
dapatkanParserForType ()
ke dalam
dapatkanUkuranSerial ()
final com.google.protobuf.UnknownFieldSet
dapatkan Bidang Tidak Dikenal ()
boolean
dapatkanPeringkatTidak Diketahui ()
 If true, the number of dimensions in the shape is unknown.
ke dalam
Kode hash ()
boolean terakhir
diinisialisasi ()
TensorShapeProto.Builder statis
newBuilder (prototipe TensorShapeProto )
TensorShapeProto.Builder statis
Pembangun baru ()
TensorShapeProto.Builder
newBuilderForType ()
TensorShapeProto statis
parseDelimitedFrom (masukan Aliran Masukan)
TensorShapeProto statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statis
parseFrom (data ByteBuffer)
TensorShapeProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
TensorShapeProto statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statis
parseFrom (com.google.protobuf.ByteString data)
TensorShapeProto statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorShapeProto statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
pengurai ()
TensorShapeProto.Builder
untukPembangun ()
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int akhir statis publik DIM_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik UNKNOWN_RANK_FIELD_NUMBER

Nilai Konstan: 3

Metode Publik

boolean publik sama (Obj objek)

TensorShapeProto statis publik getDefaultInstance ()

TensorShapeProto publik getDefaultInstanceForType ()

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

TensorShapeProto.Dim getDim publik (indeks 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;

int publik 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;

Daftar publik< 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;

TensorShapeProto.DimOrBuilder publik getDimOrBuilder (int indeks) 

 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;

Daftar Publik<? memperluas 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;

publik dapatkanParserForType ()

publik int getSerializedSize ()

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

boolean publik getUnknownRank () 

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

kode hash int publik ()

boolean akhir publik diinisialisasi ()

TensorShapeProto.Builder statis publik newBuilder (prototipe TensorShapeProto )

TensorShapeProto.Builder statis publik newBuilder ()

TensorShapeProto.Builder publik newBuilderForType ()

TensorShapeProto statis publik parseDelimitedFrom (input InputStream)

Melempar
Pengecualian IO

TensorShapeProto statis publik parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorShapeProto statis publik parseFrom (data ByteBuffer)

Melempar
InvalidProtocolBufferException

TensorShapeProto statis publik parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorShapeProto statis publik parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

TensorShapeProto statis publik parseFrom (com.google.protobuf.CodedInputStream input)

Melempar
Pengecualian IO

TensorShapeProto statis publik parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

TensorShapeProto statis publik parseFrom (com.google.protobuf.ByteString data)

Melempar
InvalidProtocolBufferException

TensorShapeProto statis publik parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorShapeProto statis publik parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

TensorShapeProto.Builder toBuilder publik ()

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

Melempar
Pengecualian IO