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 интервал | getDtypeValue () .tensorflow.DataType dtype = 2; |
абстрактный TensorInfo.EncodingCase | |
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 int getDtypeValue ()
.tensorflow.DataType dtype = 2;
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;