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nan grad #16

@linzangsc

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@linzangsc

I find that using learnable sampling offset will lead to nan grad. When I remove the linear layer of sampling offset and replace it with handcraft-fixed offset, the problem is solved but the performance deteriorates badly.

does anyone have the same problem? any solution if I want to use learnable sampling offset while train stably?

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