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torch.lerp and torch._foreach_lerp should support uint8 inputs (for vision), int16 (for audio), int32/int64 (for generality) without (up)casting to float for and/or dtype argument  #54389

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torch.lerp and torch._foreach_lerp should support uint8 inputs (for vision), int16 (for audio), int32/int64 (for generality) without (up)casting to float for and/or dtype argument #54389
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enhancementNot as big of a feature, but technically not a bug. Should be easy to fixmodule: interpolationtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
@vadimkantorov

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@vadimkantorov
vadimkantorov
opened on Mar 21, 2021

The common usecase: blend two uint8 images or int16 audios

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    enhancementNot as big of a feature, but technically not a bug. Should be easy to fixmodule: interpolationtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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