genel arayüz TensorInfoOrBuilder
Bilinen Dolaylı Alt Sınıflar |
Genel Yöntemler
soyut TensorInfo.CompositeTensor | getCompositeTensor () Generic encoding for CompositeTensors. |
soyut TensorInfo.CompositeTensorOrBuilder | getCompositeTensorOrBuilder () Generic encoding for CompositeTensors. |
soyut TensorInfo.CooSparse | getCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
soyut TensorInfo.CooSparseOrBuilder | getCooSparseOrBuilder () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
özet Veri Türü | getDtype () .tensorflow.DataType dtype = 2; |
soyut int | getDtypeValue () .tensorflow.DataType dtype = 2; |
özet TensorInfo.EncodingCase | |
soyut Dize | getName () For dense `Tensor`s, the name of the tensor in the graph. |
abstract com.google.protobuf.ByteString | getNameBytes () For dense `Tensor`s, the name of the tensor in the graph. |
soyut TensorShapeProto | getTensorShape () The static shape should be recorded here, to the extent that it can be known in advance. |
soyut TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () The static shape should be recorded here, to the extent that it can be known in advance. |
soyut boole | hasCompositeTensor () Generic encoding for CompositeTensors. |
soyut boole | hasCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
soyut boole | hasTensorShape () The static shape should be recorded here, to the extent that it can be known in advance. |
Genel Yöntemler
genel özet TensorInfo.CompositeTensor getCompositeTensor ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;
genel özet TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;
genel özet 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;
genel özet 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;
genel soyut int getDtypeValue ()
.tensorflow.DataType dtype = 2;
genel özet Dize getName ()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;
genel özet com.google.protobuf.ByteString getNameBytes ()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;
genel özet 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;
genel özet 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;
genel soyut boolean hasCompositeTensor ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;
genel soyut boolean 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;
genel soyut boolean 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;