Method create_formats_

python/dgl/heterograph.py:6201–6239

r"""Create all sparse matrices allowed for the graph. By default, we create sparse matrices for a graph only when necessary. In some cases we may want to create them immediately (e.g. in a multi-process data loader), which can be achieved via this API. Examples

(self)

            return ret

    def create_formats_(self):
        r"""Create all sparse matrices allowed for the graph.

        By default, we create sparse matrices for a graph only when necessary.
        In some cases we may want to create them immediately (e.g. in a
        multi-process data loader), which can be achieved via this API.

        Examples
        --------

        The following example uses PyTorch backend.

        >>> import dgl
        >>> import torch

        **Homographs or Heterographs with A Single Edge Type**

        >>> g = dgl.graph(([0, 0, 1], [2, 3, 2]))
        >>> g.format()
        {'created': ['coo'], 'not created': ['csr', 'csc']}
        >>> g.create_formats_()
        >>> g.format()
        {'created': ['coo', 'csr', 'csc'], 'not created': []}

        **Heterographs with Multiple Edge Types**

        >>> g = dgl.heterograph({
        ...     ('user', 'plays', 'game'): (torch.tensor([0, 1, 1, 2]),
        ...                                 torch.tensor([0, 0, 1, 1])),
        ...     ('developer', 'develops', 'game'): (torch.tensor([0, 1]),
        ...                                         torch.tensor([0, 1]))
        ...     })
        >>> g.format()
        {'created': ['coo'], 'not created': ['csr', 'csc']}
        >>> g.create_formats_()
        >>> g.format()
        {'created': ['coo', 'csr', 'csc'], 'not created': []}
        """
        return self._graph.create_formats_()

    def astype(self, idtype):
        """Cast this graph to use another ID type.