TensorInfoOrBuilder

interface publique TensorInfoOrBuilder
Sous-classes indirectes connues

Méthodes publiques

abstrait TensorInfo.CompositeTensor
getCompositeTensor () 
 Generic encoding for CompositeTensors.
résumé TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder () 
 Generic encoding for CompositeTensors.
résumé TensorInfo.CooSparse
getCooSparse () 
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
résumé TensorInfo.CooSparseOrBuilder
getCooSparseOrBuilder () 
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
Type de données abstrait
getDtype ()
.tensorflow.DataType dtype = 2;
entier abstrait
getDtypeValue ()
.tensorflow.DataType dtype = 2;
abstrait TensorInfo.EncodingCase
getEncodingCase ()
chaîne abstraite
obtenirNom () 
 For dense `Tensor`s, the name of the tensor in the graph.
résumé com.google.protobuf.ByteString
getNameBytes () 
 For dense `Tensor`s, the name of the tensor in the graph.
TensorShapeProto abstrait
getTensorShape () 
 The static shape should be recorded here, to the extent that it can
 be known in advance.
abstrait TensorShapeProtoOrBuilder
getTensorShapeOrBuilder () 
 The static shape should be recorded here, to the extent that it can
 be known in advance.
booléen abstrait
hasCompositeTensor () 
 Generic encoding for CompositeTensors.
booléen abstrait
hasCooSparse () 
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
booléen abstrait
hasTensorShape () 
 The static shape should be recorded here, to the extent that it can
 be known in advance.

Méthodes publiques

résumé public TensorInfo.CompositeTensor getCompositeTensor () 

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

résumé public TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

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

résumé public 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;

résumé public 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;

Type de données abstrait public getDtype ()

.tensorflow.DataType dtype = 2;

public abstrait int getDtypeValue ()

.tensorflow.DataType dtype = 2;

résumé public TensorInfo.EncodingCase getEncodingCase ()

chaîne abstraite publique getName () 

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

résumé public com.google.protobuf.ByteString getNameBytes () 

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

résumé public 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;

résumé public 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;

public abstrait booléen hasCompositeTensor () 

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

public abstrait booléen 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;

public abstrait booléen 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;