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mps fix #1227

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Jerry-Master
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By adding that single conversion from float64 to float32 the integrated gradients is fully compatible with MPS backend, which it wasn't previously. The change can be accepted as valid for any backend since float64 is a precision almost nobody using nowadays in deep learning. It seems that the default for torch.tensor is not updated with current trends.

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@vivekmig vivekmig left a comment

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Thanks so much for this fix @Jerry-Master !

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@vivekmig has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@vivekmig merged this pull request in 7ee195d.

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3 participants