dgl.graphbolt.expand_indptrο
- dgl.graphbolt.expand_indptr(indptr, dtype=None, node_ids=None, output_size=None)[source]ο
Converts a given indptr offset tensor to a COO format tensor. If node_ids is not given, it is assumed to be equal to torch.arange(indptr.size(0) - 1, dtype=dtype, device=indptr.device).
This is equivalent to
if node_ids is None: node_ids = torch.arange(len(indptr) - 1, dtype=dtype, device=indptr.device) return node_ids.to(dtype).repeat_interleave(indptr.diff())
- Parameters:
indptr (torch.Tensor) β A 1D tensor represents the csc_indptr tensor.
dtype (Optional[torch.dtype]) β The dtype of the returned output tensor.
node_ids (Optional[torch.Tensor]) β A 1D tensor represents the column node ids that the returned tensor will be populated with.
output_size (Optional[int]) β The size of the output tensor. Should be equal to indptr[-1]. Using this argument avoids a stream synchronization to calculate the output shape.
- Returns:
The converted COO tensor with values from node_ids.
- Return type:
torch.Tensor