パブリック静的インターフェイスTensorInfo.CooSparseOrBuilder
既知の間接サブクラス |
パブリックメソッド
抽象文字列 | getDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
抽象的な com.google.protobuf.ByteString | getDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
抽象文字列 | getIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?]. |
抽象的な com.google.protobuf.ByteString | getIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?]. |
抽象文字列 | getValuesTensorName () The shape of the values Tensor is [?]. |
抽象的な com.google.protobuf.ByteString | getValuesTensorNameBytes () The shape of the values Tensor is [?]. |
パブリックメソッド
public abstract String getDenseShapeTensorName ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
public abstract com.google.protobuf.ByteString getDenseShapeTensorNameBytes ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
public abstract String getIndicesTensorName ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
public abstract com.google.protobuf.ByteString getIndicesTensorNameBytes ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
public abstract String getValuesTensorName ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;
public abstract com.google.protobuf.ByteString getValuesTensorNameBytes ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;