TensorInfo.CooSparse.Builder

kelas akhir statis publik TensorInfo.CooSparse.Builder

 For sparse tensors, The COO encoding stores a triple of values, indices,
 and shape.
 

Protobuf mengetik tensorflow.TensorInfo.CooSparse

Metode Publik

TensorInfo.CooSparse.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
TensorInfo.CooSparse	membangun ()
TensorInfo.CooSparse	membangunPartial ()
TensorInfo.CooSparse.Builder	jernih ()
TensorInfo.CooSparse.Builder	jelasDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
TensorInfo.CooSparse.Builder	clearIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorInfo.CooSparse.Builder	clearValuesTensorName () The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder	klon ()
TensorInfo.CooSparse	dapatkanDefaultInstanceForType ()
Rangkaian	dapatkanDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
com.google.protobuf.ByteString	dapatkanDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
Rangkaian	dapatkanIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?].
com.google.protobuf.ByteString	dapatkanIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?].
Rangkaian	dapatkanValuesTensorName () The shape of the values Tensor is [?].
com.google.protobuf.ByteString	dapatkanValuesTensorNameBytes () The shape of the values Tensor is [?].
boolean terakhir	diinisialisasi ()
TensorInfo.CooSparse.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo.CooSparse.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
TensorInfo.CooSparse.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
TensorInfo.CooSparse.Builder	setDenseShapeTensorName (Nilai string) The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	setDenseShapeTensorNameBytes (nilai com.google.protobuf.ByteString) The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
TensorInfo.CooSparse.Builder	setIndicesTensorName (Nilai string) The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder	setIndicesTensorNameBytes (nilai com.google.protobuf.ByteString) The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
TensorInfo.CooSparse.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
TensorInfo.CooSparse.Builder	setValuesTensorName (Nilai string) The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder	setValuesTensorNameBytes (nilai com.google.protobuf.ByteString) The shape of the values Tensor is [?].

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.TensorInfo.CooSparseOrBuilder

Tali abstrak	dapatkanDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
abstrak com.google.protobuf.ByteString	dapatkanDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
Tali abstrak	dapatkanIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?].
abstrak com.google.protobuf.ByteString	dapatkanIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?].
Tali abstrak	dapatkanValuesTensorName () The shape of the values Tensor is [?].
abstrak com.google.protobuf.ByteString	dapatkanValuesTensorNameBytes () The shape of the values Tensor is [?].

Metode Publik

public TensorInfo.CooSparse.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

build TensorInfo.CooSparse publik ()

TensorInfo publik.CooSparse buildPartial ()

TensorInfo.CooSparse.Builder publik jelas ()

TensorInfo publik.CooSparse.Builder clearDenseShapeTensorName ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 

string dense_shape_tensor_name = 3;

TensorInfo.CooSparse.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

TensorInfo.CooSparse.Builder publik clearIndicesTensorName ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 

string indices_tensor_name = 2;

publik TensorInfo.CooSparse.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

TensorInfo.CooSparse.Builder publik clearValuesTensorName ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 

string values_tensor_name = 1;

klon TensorInfo.CooSparse.Builder publik ()

TensorInfo.CooSparse publik getDefaultInstanceForType ()

String publik getDenseShapeTensorName ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 

string dense_shape_tensor_name = 3;

publik com.google.protobuf.ByteString getDenseShapeTensorNameBytes ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 

string dense_shape_tensor_name = 3;

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

com.google.protobuf.Descriptors.Descriptor publik getDescriptorForType ()

String publik getIndicesTensorName ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 

string indices_tensor_name = 2;

publik com.google.protobuf.ByteString getIndicesTensorNameBytes ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 

string indices_tensor_name = 2;

String publik getValuesTensorName ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 

string values_tensor_name = 1;

publik com.google.protobuf.ByteString getValuesTensorNameBytes ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 

string values_tensor_name = 1;

boolean akhir publik diinisialisasi ()

TensorInfo.CooSparse.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

TensorInfo.CooSparse.Builder mergeFrom publik (com.google.protobuf.Message lainnya)

TensorInfo.CooSparse.Builder final publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public TensorInfo.CooSparse.Builder setDenseShapeTensorName (nilai string)

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 

string dense_shape_tensor_name = 3;

publik TensorInfo.CooSparse.Builder setDenseShapeTensorNameBytes (nilai com.google.protobuf.ByteString)

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 

string dense_shape_tensor_name = 3;

public TensorInfo.CooSparse.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public TensorInfo.CooSparse.Builder setIndicesTensorName (Nilai string)

 The indices Tensor must have dtype int64 and shape [?, ?].
 

string indices_tensor_name = 2;

publik TensorInfo.CooSparse.Builder setIndicesTensorNameBytes (nilai com.google.protobuf.ByteString)

 The indices Tensor must have dtype int64 and shape [?, ?].
 

string indices_tensor_name = 2;

public TensorInfo.CooSparse.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

TensorInfo.CooSparse.Builder final publik setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

publik TensorInfo.CooSparse.Builder setValuesTensorName (Nilai string)

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 

string values_tensor_name = 1;

TensorInfo.CooSparse.Builder setValuesTensorNameBytes publik (nilai com.google.protobuf.ByteString)

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 

string values_tensor_name = 1;