TransformerBlock: support attention skips#14826
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14826
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 3 New Failures, 1 Unrelated FailureAs of commit 976b081 with merge base 91f1769 ( NEW FAILURES - The following jobs have failed:
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Summary: We want to support attention skips. This diff modifies `TransformerBlock` to make `attention_norm` and `attention` optional. Since our export script directly constructs the `TransformerBlock`s themselves, this is enough for our use case. The top level `Transformer` class still require a single `attention_type`, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff. Differential Revision: D84003431
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Summary: We want to support attention skips. This diff modifies `TransformerBlock` to make `attention_norm` and `attention` optional. Since our export script directly constructs the `TransformerBlock`s themselves, this is enough for our use case. The top level `Transformer` class still require a single `attention_type`, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff. Reviewed By: billmguo Differential Revision: D84003431
sxu
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Summary: We want to support attention skips. This diff modifies `TransformerBlock` to make `attention_norm` and `attention` optional. Since our export script directly constructs the `TransformerBlock`s themselves, this is enough for our use case. The top level `Transformer` class still require a single `attention_type`, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff. Reviewed By: billmguo Differential Revision: D84003431
sxu
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Oct 7, 2025
Summary: We want to support attention skips. This diff modifies `TransformerBlock` to make `attention_norm` and `attention` optional. Since our export script directly constructs the `TransformerBlock`s themselves, this is enough for our use case. The top level `Transformer` class still require a single `attention_type`, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff. Reviewed By: billmguo Differential Revision: D84003431
Summary: We want to support attention skips. This diff modifies `TransformerBlock` to make `attention_norm` and `attention` optional. Since our export script directly constructs the `TransformerBlock`s themselves, this is enough for our use case. The top level `Transformer` class still require a single `attention_type`, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff. Reviewed By: billmguo Differential Revision: D84003431
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Differential Revision: D84003431 Pull Request resolved: pytorch#14826
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Summary: We want to support attention skips. This diff modifies
TransformerBlockto makeattention_normandattentionoptional. Since our export script directly constructs theTransformerBlocks themselves, this is enough for our use case. The top levelTransformerclass still require a singleattention_type, to make that interface also support attention skip (which requires different configuration for each layer) is not within the scope of this diff.Differential Revision: D84003431