Simplify packed KV cache grouping - #6
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Simplify _get_packed_kv_cache_groups: merge the duplicated group-emission branches into one loop, collapse the mixed-bucket repeat list into a min_repeats_per_group scalar, and drop the defensive cache_config getattr. Rename the "layer tuple" terminology (get_num_layer_tuples -> get_max_layers_per_page_size) and document the 1:1 pattern assumption. Gate the DeepseekV4 eagle-group annotation at the call site on the model type instead of sniffing spec model_version inside the helper. Update the packing tests for manager-level grouping semantics and the CompressedAttentionSpec field renames. Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: Lucas Wilkinson <wilkinson.lucas@gmail.com> Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
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Suggestion PR into
release/qwen38next(vllm-project#53896) — not a standalone contribution to vLLM, so no duplicate-PR concern; it proposes cleanups to code introduced by that PR.Changes
_get_packed_kv_cache_groups: add a docstring, merge the duplicated group-emission branches into a single loop with anum_groups == 1shortcut, collapse the mixed-bucket repeat list into amin_repeats_per_groupscalar with an explanatory comment, and drop the defensivegetattroncache_config.UniformTypeKVCacheSpecs.get_num_layer_tuples→get_max_layers_per_page_size(mechanically accurate name), plus clearer local names (pattern_repeats,repeats_per_group,page_size_layers). Document the 1:1 one-layer-per-page-size pattern assumption on thebalancedcheck._is_deepseek_v4_eagle(checkshf_config.model_type) instead of sniffingmodel_versionoff the merged MLA spec inside the helper.test_qwen4_exp.pyfollows thecompress_ratio→tokens_per_state/num_statesspec field names.Note one behavior nuance: with the
num_groups == 1shortcut, a balanced mixed bucket keeps its original spec-dict layer order instead of the zip-interleaved order. These coincide when layers are registered in model layer order (the normal case, covered by the placement tests), flagging in case an edge case relies on the reorder.Testing
AI assistance (Claude Code) was used for this change; every line was human-reviewed.
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