varargs for einsum#10067
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implemented via a wrapper Fixes: pytorch#9929
| variants: function | ||
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| - func: einsum(std::string equation, TensorList tensors) -> Tensor | ||
| - func: _einsum(std::string equation, TensorList tensors) -> Tensor |
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Thanks to fmassa for the suggestion! if the method to fix it is not as pretty, it is my own fault, though.
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| """ | ||
| if len(operands) == 1 and isinstance(operands[0], (list, tuple)): | ||
| # the old interface of passing the operands as one list argument | ||
| operands = operands[0] |
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| return P, L, U | ||
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| def einsum(equation, *operands): |
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We don't, torch.functional.einsum (no nn) is imported as torch.einsum.
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Oh I see. Thanks for the clarification @t-vi ! |
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I think the CI failure isn't this patch. Should we deprecate having a list as second argument? |
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Let's keep it like this for now and think about if the deprecation should happen later. Could you rebase this pr @t-vi? |
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Summary: Implemented via a wrapper, thank you Richard for the suggestion! Fixes: pytorch#9929 Pull Request resolved: pytorch#10067 Differential Revision: D9083388 Pulled By: soumith fbshipit-source-id: 9ab21cd35278b01962e11d3e70781829bf4a36da
Implemented via a wrapper, thank you Richard for the suggestion!
Fixes: #9929