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@sxu sxu commented Feb 13, 2025

Summary: Helper class that manages I/O tensors for KV caches, attention masks, and RoPE frequencies. Data types of these tensors are templated to support quantized data.

Differential Revision: D69624077

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8486

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 13, 2025
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This pull request was exported from Phabricator. Differential Revision: D69624077

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LGTM. Please add runner file in the following PR to cover the tests.

@sxu sxu force-pushed the export-D69624077 branch from 8a28199 to d3eedde Compare February 16, 2025 16:54
sxu added a commit to sxu/executorch that referenced this pull request Feb 16, 2025
Summary:
Pull Request resolved: pytorch#8486

Helper class that manages I/O tensors for KV caches, attention masks, and RoPE frequencies. Data types of these tensors are templated to support quantized data.

Reviewed By: iseeyuan

Differential Revision: D69624077
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This pull request was exported from Phabricator. Differential Revision: D69624077

Summary:

Helper class that manages I/O tensors for KV caches, attention masks, and RoPE frequencies. Data types of these tensors are templated to support quantized data.

Reviewed By: iseeyuan

Differential Revision: D69624077
@sxu sxu force-pushed the export-D69624077 branch from d3eedde to d4e2e2b Compare February 17, 2025 00:57
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This pull request was exported from Phabricator. Differential Revision: D69624077

@facebook-github-bot facebook-github-bot merged commit a70c6a3 into pytorch:main Feb 17, 2025
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3 participants