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README.md

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@@ -191,7 +191,7 @@ torch_sparse.spspmm(indexA, valueA, indexB, valueB, m, k, n) -> (torch.LongTenso
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```
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Matrix product of two sparse tensors.
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Both input sparse matrices need to be **coalesced** (use the `coalesce` attribute to force).
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Both input sparse matrices need to be **coalesced** (use the `coalesced` attribute to force).
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### Parameters
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torch_sparse/spspmm.py

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def spspmm(indexA, valueA, indexB, valueB, m, k, n, coalesced=False):
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"""Matrix product of two sparse tensors. Both input sparse matrices need to
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be coalesced (use the :obj:`coalesce` attribute to force).
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be coalesced (use the :obj:`coalesced` attribute to force).
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Args:
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indexA (:class:`LongTensor`): The index tensor of first sparse matrix.

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