ממשק סטטי ציבורי TensorInfo.CooSparseOrBuilder
תת-מחלקות עקיפות ידועות |
שיטות ציבוריות
מחרוזת מופשטת | getDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
תקציר com.google.protobuf.ByteString | getDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
מחרוזת מופשטת | getIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?]. |
תקציר com.google.protobuf.ByteString | getIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?]. |
מחרוזת מופשטת | getValuesTensorName () The shape of the values Tensor is [?]. |
תקציר com.google.protobuf.ByteString | getValuesTensorNameBytes () The shape of the values Tensor is [?]. |
שיטות ציבוריות
מחרוזת תקציר ציבורי getDenseShapeTensorName ()
מחרוזת
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;
תקציר ציבורי 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;
מחרוזת תקציר ציבורי getIndicesTensorName ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
תקציר ציבורי com.google.protobuf.ByteString getIndicesTensorNameBytes ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
מחרוזת תקציר ציבורי 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;
תקציר ציבורי 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;