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Support for custom HeteroData mini-batch class in remote backends #6377

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Jan 9, 2023
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update
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rusty1s committed Jan 9, 2023
commit 830f5a780e655fb35f6677a3dfd4a7ff1b78ef2d
4 changes: 2 additions & 2 deletions torch_geometric/loader/link_loader.py
Original file line number Diff line number Diff line change
Expand Up @@ -105,8 +105,8 @@ class LinkLoader(torch.utils.data.DataLoader):
(3) it requires operating on CPU tensors.
(default: :obj:`False`)
custom_cls (HeteroData, optional): A custom
:class:`~torch_geometric.data.HeteroData` class to return as
mini-batch in case of remote backends. (default: :obj:`None`)
:class:`~torch_geometric.data.HeteroData` class to return for
mini-batches in case of remote backends. (default: :obj:`None`)
**kwargs (optional): Additional arguments of
:class:`torch.utils.data.DataLoader`, such as :obj:`batch_size`,
:obj:`shuffle`, :obj:`drop_last` or :obj:`num_workers`.
Expand Down
4 changes: 2 additions & 2 deletions torch_geometric/loader/node_loader.py
Original file line number Diff line number Diff line change
Expand Up @@ -69,8 +69,8 @@ class NodeLoader(torch.utils.data.DataLoader):
(3) it requires operating on CPU tensors.
(default: :obj:`False`)
custom_cls (HeteroData, optional): A custom
:class:`~torch_geometric.data.HeteroData` class to return as
mini-batch in case of remote backends. (default: :obj:`None`)
:class:`~torch_geometric.data.HeteroData` class to return for
mini-batches in case of remote backends. (default: :obj:`None`)
**kwargs (optional): Additional arguments of
:class:`torch.utils.data.DataLoader`, such as :obj:`batch_size`,
:obj:`shuffle`, :obj:`drop_last` or :obj:`num_workers`.
Expand Down