Method t

modules/sharpfin/sparse_backend.py:204–219

(self)

            self.block_offsets_t.clone())

    def t(self):
        if self.dim() != 2:
            raise ValueError(
                "t() expects a tensor with <= 2 dimensions, "
                f"but self is {self.dim()}D.")
        out = Matrix(self.size(),
                     self.data,
                     self.row_indices,
                     self.column_indices,
                     self.offsets,
                     self.column_indices_t,
                     self.offsets_t,
                     self.block_offsets_t)
        out._transposed = not self._transposed
        out._size = torch.Size((self._size[1], self._size[0]))
        return out

    def contiguous(self):
        raise ValueError("Not yet implemented.")