TensorInfoOrBuilder

interfaz pública TensorInfoOrBuilder
Subclases indirectas conocidas

Métodos públicos

resumen TensorInfo.CompositeTensor
getCompositeTensor ()
 Generic encoding for CompositeTensors.
abstracto TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
resumen TensorInfo.CooSparse
obtenerCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
abstracto TensorInfo.CooSparseOrBuilder
getCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
tipo de datos abstracto
obtener tipo D ()
.tensorflow.DataType dtype = 2;
resumen entero
getDtypeValue ()
.tensorflow.DataType dtype = 2;
resumen TensorInfo.EncodingCase
getEncodingCase ()
cadena abstracta
obtenerNombre ()
 For dense `Tensor`s, the name of the tensor in the graph.
resumen com.google.protobuf.ByteString
getNombreBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
resumen TensorShapeProto
obtener forma tensor ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
abstracto TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
booleano abstracto
tieneCompositeTensor ()
 Generic encoding for CompositeTensors.
booleano abstracto
tieneCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
booleano abstracto
tieneTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.

Métodos públicos

resumen público TensorInfo.CompositeTensor getCompositeTensor () 

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

resumen público TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

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

resumen público 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;

resumen público 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;

Tipo de datos abstracto público getDtype ()

.tensorflow.DataType dtype = 2;

resumen público int getDtypeValue ()

.tensorflow.DataType dtype = 2;

resumen público TensorInfo.EncodingCase getEncodingCase ()

Cadena abstracta pública getName () 

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

resumen público com.google.protobuf.ByteString getNameBytes () 

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

resumen público 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;

resumen público 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;

hasCompositeTensor booleano abstracto público () 

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

hasCooSparse booleano abstracto público () 

 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;

hasTensorShape booleano abstracto público () 

 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;