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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

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Modification

update_dlblas_with_deepep deepep 1.2.1+9af0e0d

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If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

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  1. Pre-commit or other linting tools are used to fix the potential lint issues.
  2. The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness.
  3. If the modification has a dependency on downstream projects of a newer version, this PR should be tested with all supported versions of downstream projects.
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@lvhan028 lvhan028 changed the title [draft] update_dlblas_with_deepep update dlblas with deepep Nov 14, 2025
@lvhan028 lvhan028 requested a review from grimoire November 14, 2025 10:38
position_ids = context.position_ids
attn_metadata = context.attn_metadata

from dlblas.layers.moe.token_dispatcher import DeepEPBuffer, DeepEPMode
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move this to backend

class FusedDeepEpMoEBlockedF8Impl(TritonFusedMoEBlockedF8Impl):

You can get context with context manager

def get_step_ctx_manager():

@SHshenhao SHshenhao force-pushed the sh/update_dlblas branch 2 times, most recently from 738811d to 5ed37b0 Compare November 18, 2025 08:51
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3 participants