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Drop RoPE when filling KV cache #3346

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Drop RoPE when filling KV cache #3346

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GD06
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@GD06 GD06 commented Nov 9, 2024

This PR provides CUDA kernels to fill KV cache without applying ROPE.

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@GD06 has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

facebook-github-bot pushed a commit that referenced this pull request Nov 21, 2024
Summary:
This PR provides CUDA kernels to fill KV cache without applying ROPE.


Reviewed By: jianyuh

Differential Revision: D66307820

Pulled By: GD06
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This pull request was exported from Phabricator. Differential Revision: D66307820

facebook-github-bot pushed a commit that referenced this pull request Nov 21, 2024
Summary:
This PR provides CUDA kernels to fill KV cache without applying ROPE.


Reviewed By: jianyuh

Differential Revision: D66307820

Pulled By: GD06
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This pull request was exported from Phabricator. Differential Revision: D66307820

facebook-github-bot pushed a commit that referenced this pull request Nov 21, 2024
Summary:
This PR provides CUDA kernels to fill KV cache without applying ROPE.


Reviewed By: jianyuh

Differential Revision: D66307820

Pulled By: GD06
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This pull request was exported from Phabricator. Differential Revision: D66307820

facebook-github-bot pushed a commit that referenced this pull request Nov 21, 2024
Summary:
X-link: facebookresearch/FBGEMM#488

This PR provides CUDA kernels to fill KV cache without applying ROPE.


Reviewed By: jianyuh

Differential Revision: D66307820

Pulled By: GD06
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66307820

Summary:
X-link: facebookresearch/FBGEMM#488

This PR provides CUDA kernels to fill KV cache without applying ROPE.


Reviewed By: jianyuh

Differential Revision: D66307820

Pulled By: GD06
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66307820

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This pull request was exported from Phabricator. Differential Revision: D66307820

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@GD06 merged this pull request in c7a84ca.

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3 participants