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torch_sparse/spspmm.py

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@@ -20,8 +20,8 @@ def spspmm(indexA, valueA, indexB, valueB, m, k, n, coalesced=False):
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k (int): The second dimension of first corresponding dense matrix and
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first dimension of second corresponding dense matrix.
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n (int): The second dimension of second corresponding dense matrix.
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coalesced (bool, optional): If set to :obj:`False`, will coalesce both
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input sparse matrices (default: :obj:`True`).
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coalesced (bool, optional): If set to :obj:`True`, will coalesce both
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input sparse matrices (default: :obj:`False`).
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:rtype: (:class:`LongTensor`, :class:`Tensor`)
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"""

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