Vectorize KV-Cache by using Vec4 - #222
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Code Metrics Report=============================================================================== Language Files Lines Code Comments Blanks =============================================================================== TOML 1 75 63 2 10 ------------------------------------------------------------------------------- Rust 62 13276 11417 185 1674 |- Markdown 34 311 0 244 67 (Total) 13587 11417 429 1741 =============================================================================== Total 63 13351 11480 187 1684 =============================================================================== |
FL33TW00D
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Jun 21, 2024
| builder.register_storage("C", BindingMode::ReadWrite, Array::<P>::default()); | ||
| builder.register_storage("S", BindingMode::ReadOnly, Array::<P>::default()); | ||
| builder.register_storage("D", BindingMode::ReadWrite, Array::<P>::default()); | ||
| builder.register_storage("C", BindingMode::ReadWrite, Array::<vec4<f32>>::default()); |
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This will only work for vec4<f32>!
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Okay, just learnt that Vec4<T> implements WgslPrimitive for any T. Making it Array::<P> itself, from what I understand.
FL33TW00D
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Jun 21, 2024
| return; | ||
| } | ||
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| if (dst_index[dim] < metadata.cum1) { |
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What will happen to cum1 here if all lengths are / 4
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Hmm 🤔 . I'm still trying to understand this one and what needs to be done about it.
I suppose I need to divide cum1 by 4 in write_metadata too?
FL33TW00D
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Jun 21, 2024
…or `KernelElement`
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@officialcjunior Haven't forgotten about this, just working on the refactor 👍🏻 |
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Currently, the KV-Cache operation is scalar, this PR attempts to vectorize it.
Fixes #210