feat: add llama 3.1 style rope #401
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yzh119
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Jul 29, 2024
🤖 I have created a release *beep* *boop* --- ## [0.1.2](v0.1.1...v0.1.2) (2024-07-29) ### Bugfix * Fix the sampling kernel bug for cu118 ([#386](#386), [#387](#387)) ([0cd499](0cd4994), [dc3f18](dc3f184)) ### Features * add llama 3.1 style rope ([#401](#401)) ([4c89dec](4c89dec)) * non-inplace rope operators ([#405](#405)) ([74ffba1](74ffba1)) * sliding window attention ([#406](#406)) ([28cffd3](28cffd3)) * support non-contiguous (packed) input for prefill kernels ([#404](#404)) ([68c3719](68c3719)) ### Performance Improvements * slight optimization on merge states ([#313](#313)) ([701c813](701c813)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Zihao Ye <expye@outlook.com>
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Awesome! |
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Looks like |
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@chenzhuofu , yes the wheel size will explode if we take llama 3.1 style rope into PosEncodingMode. I'm refactoring the codebase to JIT, and the issue should be resolve soon. |
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Reference implementation: https://github.com/meta-llama/llama-models/blob/709a61fd810157f75fbb314e7287089eec06d9c3/models/llama3_1/api/model.py#L41
This PR also expose the
BatchQKApplyRotaryInPlaceKernelto pytorch APIs, previous they are only used in TVM wrappers.