TensorInfoOrBuilder

общедоступный интерфейс TensorInfoOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактный TensorInfo.CompositeTensor
получитьКомпозиттензор ()
 Generic encoding for CompositeTensors.
абстрактный TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
абстрактный TensorInfo.CooSparse
getCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
абстрактный TensorInfo.CooSparseOrBuilder
getCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
абстрактный тип данных
getDtype ()
.tensorflow.DataType dtype = 2;
абстрактный int
getDtypeValue ()
.tensorflow.DataType dtype = 2;
абстрактный TensorInfo.EncodingCase
getEncodingCase ()
абстрактная строка
получитьИмя ()
 For dense `Tensor`s, the name of the tensor in the graph.
абстрактный com.google.protobuf.ByteString
getNameBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
абстрактный TensorShapeProto
getTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
абстрактный TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
абстрактное логическое значение
имеетКомпозиттензор ()
 Generic encoding for CompositeTensors.
абстрактное логическое значение
имеетCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
абстрактное логическое значение
имеетТензорШейп ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.

Публичные методы

публичный абстрактный TensorInfo.CompositeTensor getCompositeTensor () 

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

публичный абстрактный TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

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

публичный абстрактный 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;

публичный абстрактный 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;

общедоступный абстрактный тип данных getDtype ()

.tensorflow.DataType dtype = 2;

общедоступный абстрактный int getDtypeValue ()

.tensorflow.DataType dtype = 2;

публичный абстрактный TensorInfo.EncodingCase getEncodingCase ()

общедоступная абстрактная строка getName () 

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

общедоступный абстрактный com.google.protobuf.ByteString getNameBytes () 

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

публичный абстрактный 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;

публичный абстрактный 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;

общедоступное абстрактное логическое значение hasCompositeTensor () 

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

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;