TensorInfoOrBuilder

antarmuka publik TensorInfoOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak TensorInfo.CompositeTensor
dapatkanCompositeTensor ()
 Generic encoding for CompositeTensors.
abstrak TensorInfo.CompositeTensorOrBuilder
dapatkanCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
abstrak TensorInfo.CooSparse
dapatkanCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
abstrak TensorInfo.CooSparseOrBuilder
dapatkanCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
Tipe Data abstrak
dapatkan tipe D ()
.tensorflow.DataType dtype = 2;
abstrak ke dalam
dapatkanDtypeValue ()
.tensorflow.DataType dtype = 2;
abstrak TensorInfo.EncodingCase
dapatkan EncodingCase ()
Tali abstrak
dapatkan Nama ()
 For dense `Tensor`s, the name of the tensor in the graph.
abstrak com.google.protobuf.ByteString
dapatkanNamaBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
TensorShapeProto abstrak
dapatkanTensorBentuk ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorShapeProtoOrBuilder abstrak
dapatkanTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
boolean abstrak
memilikiCompositeTensor ()
 Generic encoding for CompositeTensors.
boolean abstrak
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
boolean abstrak
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.

Metode Publik

abstrak publik TensorInfo.CompositeTensor getCompositeTensor () 

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

abstrak publik TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

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

abstrak publik TensorInfo.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;

abstrak publik TensorInfo.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;

Tipe Data abstrak publik getDtype ()

.tensorflow.DataType dtype = 2;

abstrak publik int getDtypeValue ()

.tensorflow.DataType dtype = 2;

abstrak publik TensorInfo.EncodingCase getEncodingCase ()

abstrak publik String getName () 

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

abstrak publik com.google.protobuf.ByteString getNameBytes () 

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

abstrak publik TensorShapeProto getTensorShape () 

 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;

abstrak publik TensorShapeProtoOrBuilder 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 abstrak publik hasCompositeTensor () 

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

boolean abstrak 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 abstrak 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;