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Support configurable Enformer output heads - #762
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2026-08-24T03:08:11
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[google-deepmind/deepmind-research] Support configurable Enformer output heads (PR #762)
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Could a maintainer review the configurable Enformer output heads and arrange a fresh approved workflow run? The previous security run ended with no jobs after 30 days, which looks like expired approval. |
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2026-10-07T21:24:38
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Re: [google-deepmind/deepmind-research] Support configurable Enformer output heads (PR #762)
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이 메일은 발신전용으로 회신되지 않습니다.
더 궁금하신 사항은
***@***.***
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© Dooray!.
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Summary
Allow the source Enformer model to configure output heads instead of hard-coding only the published human and mouse track counts.
The implementation currently creates
{'human': 5313, 'mouse': 1643}insideEnformer.__init__, which means users adapting the architecture to another species cannot specify a different target set without editing the model source. This is the limitation raised in #297.This change:
heads_channelsmapping toEnformer.__init__namepighead and the empty-mapping caseFixes #297.
Validation
The final branch is based directly on current upstream
masterand contains one commit (3f3400ec93d7fdc8aa5dcc64dda8c230b104534d).The final diff changes only:
enformer/enformer.pyenformer/enformer_test.pyenformer/README.mdThe legacy Enformer/TensorFlow dependency stack is not installed in this execution environment, so the tests were not executed locally and no local test pass is claimed.