TensorInfo.Builder

TensorInfo.Builder kelas akhir statis publik

 Information about a Tensor necessary for feeding or retrieval.
Protobuf tipe tensorflow.TensorInfo

Metode Publik

TensorInfo.Pembangun
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Info Tensor
membangun ()
Info Tensor
membangunPartial ()
TensorInfo.Pembangun
jernih ()
TensorInfo.Pembangun
jelasCompositeTensor ()
 Generic encoding for CompositeTensors.
TensorInfo.Pembangun
jelasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Pembangun
hapusDtype ()
.tensorflow.DataType dtype = 2;
TensorInfo.Pembangun
jelasEncoding ()
TensorInfo.Pembangun
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
TensorInfo.Pembangun
nama jelas ()
 For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Pembangun
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu)
TensorInfo.Pembangun
jelasTensorBentuk ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorInfo.Pembangun
klon ()
TensorInfo.CompositeTensor
dapatkanCompositeTensor ()
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensor.Builder
dapatkanCompositeTensorBuilder ()
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensorOrBuilder
dapatkanCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
TensorInfo.CooSparse
dapatkanCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparse.Builder
dapatkanCooSparseBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparseOrBuilder
dapatkanCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
Info Tensor
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor
dapatkanDescriptorForType ()
Tipe data
dapatkan tipe D ()
.tensorflow.DataType dtype = 2;
ke dalam
dapatkanDtypeValue ()
.tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase
dapatkan EncodingCase ()
Rangkaian
dapatkan Nama ()
 For dense `Tensor`s, the name of the tensor in the graph.
com.google.protobuf.ByteString
dapatkanNamaBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
TensorBentukProto
dapatkanTensorBentuk ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorShapeProto.Builder
dapatkanTensorShapeBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorShapeProtoOrBuilder
dapatkanTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
boolean
memilikiCompositeTensor ()
 Generic encoding for CompositeTensors.
boolean
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
boolean
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
boolean terakhir
diinisialisasi ()
TensorInfo.Pembangun
mergeCompositeTensor (nilai TensorInfo.CompositeTensor )
 Generic encoding for CompositeTensors.
TensorInfo.Pembangun
mergeCooSparse (nilai TensorInfo.CooSparse )
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Pembangun
mergeFrom (com.google.protobuf.Pesan lainnya)
TensorInfo.Pembangun
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo.Pembangun
mergeTensorShape (nilai TensorShapeProto )
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorInfo.Builder terakhir
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
TensorInfo.Pembangun
setCompositeTensor (nilai TensorInfo.CompositeTensor )
 Generic encoding for CompositeTensors.
TensorInfo.Pembangun
setCompositeTensor ( TensorInfo.CompositeTensor.Builder builderForValue)
 Generic encoding for CompositeTensors.
TensorInfo.Pembangun
setCooSparse (nilai TensorInfo.CooSparse )
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Pembangun
setCooSparse ( TensorInfo.CooSparse.Pembuat pembangunForValue)
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Pembangun
setDtype (nilai Tipe Data )
.tensorflow.DataType dtype = 2;
TensorInfo.Pembangun
setDtypeValue (nilai int)
.tensorflow.DataType dtype = 2;
TensorInfo.Pembangun
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
TensorInfo.Pembangun
setName (Nilai string)
 For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Pembangun
setNameBytes (nilai com.google.protobuf.ByteString)
 For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Pembangun
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
TensorInfo.Pembangun
setTensorShape (nilai TensorShapeProto )
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorInfo.Pembangun
setTensorShape ( TensorShapeProto.Pembuat pembangunForValue)
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorInfo.Builder terakhir
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Metode Publik

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

build TensorInfo publik ()

build TensorInfo publikPartial ()

TensorInfo.Builder publik jelas ()

TensorInfo publik.Builder clearCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo.Builder publik clearCooSparse () 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo publik.Builder clearDtype ()

.tensorflow.DataType dtype = 2;

TensorInfo publik.Builder clearEncoding ()

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

TensorInfo publik.Builder clearName () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

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

TensorInfo publik.Builder clearTensorShape () 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

klon TensorInfo.Builder publik ()

TensorInfo publik.CompositeTensor getCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo publik.CompositeTensor.Builder getCompositeTensorBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo publik.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo publik.CooSparse getCooSparse () 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo.CooSparse.Builder publik getCooSparseBuilder () 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo publik.CooSparseOrBuilder getCooSparseOrBuilder () 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo publik getDefaultInstanceForType ()

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

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

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 2;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 2;

TensorInfo publik.EncodingCase getEncodingCase ()

GetName String publik () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

publik com.google.protobuf.ByteString getNameBytes () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

TensorShapeProto publik untuk mendapatkanTensorShape () 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

TensorShapeProto.Builder publik getTensorShapeBuilder () 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

TensorShapeProtoOrBuilder publik getTensorShapeOrBuilder () 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

boolean publik hasCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

boolean publik hasCooSparse () 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

boolean publik hasTensorShape () 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

boolean akhir publik diinisialisasi ()

TensorInfo.Builder mergeCompositeTensor publik (nilai TensorInfo.CompositeTensor ) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo.Builder mergeCooSparse publik (nilai TensorInfo.CooSparse ) 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

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

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

Melempar
Pengecualian IO

TensorInfo.Builder mergeTensorShape publik (nilai TensorShapeProto ) 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

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

TensorInfo.Builder setCompositeTensor publik (nilai TensorInfo.CompositeTensor ) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo.Builder setCompositeTensor publik ( TensorInfo.CompositeTensor.Builder builderForValue) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

TensorInfo.Builder setCooSparse publik (nilai TensorInfo.CooSparse ) 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo.Builder setCooSparse publik ( TensorInfo.CooSparse.Builder builderForValue) 

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

TensorInfo.Builder setDtype publik (nilai Tipe Data )

.tensorflow.DataType dtype = 2;

TensorInfo.Builder publik setDtypeValue (nilai int)

.tensorflow.DataType dtype = 2;

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

TensorInfo.Builder setName publik (nilai string) 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

TensorInfo.Builder publik setNameBytes (nilai com.google.protobuf.ByteString) 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

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

TensorInfo.Builder setTensorShape publik (nilai TensorShapeProto ) 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

TensorInfo.Builder setTensorShape publik ( TensorShapeProto.Builder builderForValue) 

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;

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