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Fill in architecture compatibility data #56

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@RunDevelopment

This file is incomplete, I think. Check that the compatibility data is correct and fill in any gaps.

Compatibility means that any model of that architecture can be converted to the compatible platforms.

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  1. joeyballentine commented on Mar 15, 2023

    @joeyballentine
    Contributor

    Can we call pytorch/onnx/ncnn frameworks and not architectures please

  2. RunDevelopment commented on Mar 15, 2023

    @RunDevelopment
    MemberAuthor

    I called them platforms.

    export type Platform = 'pytorch' | 'onnx' | 'ncnn';

    Archs are e.g. ESRGAN. Or in general, the architecture field of models.

  3. joeyballentine commented on Mar 15, 2023

    @joeyballentine
    Contributor

    You used architecture in the issue post

  4. RunDevelopment commented on Mar 15, 2023

    @RunDevelopment
    MemberAuthor

    Fixed.

  5. RunDevelopment commented on May 22, 2023

    @RunDevelopment
    MemberAuthor

    With #235, we just need to test EDSR (SRResNet), which we currently can't do because chainner doesn't support it.

    Also, we (speak @theflyingzamboni) are currently working on NCNN for SPSR. This should be possible, but there seems to be an issue with our conversion code. See our private conversation on discord.

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