A symbol scan over every tracked file found 123 top-level definitions in
vllm/ with zero references, including references inside strings. All of
them came from features this fork deleted earlier.
- Delete dead attention helpers: MLADCPManager, split_prefill_chunks, the
reshape helpers, compute_varlen_chunk_metadata, the LINEAR backend's
unused BailingLinearAttentionBackend, and the sparse flash-attn entry
points.
- Delete the CPU and AMX op wrappers from _custom_ops.py: cpu_mla_decode,
cpu_mla_extend, cpu_mla_get_scheduler_metadata,
gather_mla_context_cache_cpu.
- Delete dead quantization helpers: awq_pack, gptq_pack,
gptq_quantize_weights, get_and_maybe_dequant_weights,
marlin_quant_fp8_torch, the rand_marlin_weight_*_like pair,
ocp_mx_weight_dtype_and_rows, get_fp8_block_weight_scale,
input_to_float8.
- Delete dead model helpers: resolve_visual_encoder_outputs,
run_dp_sharded_vision_model, fast_topk, get_layer_index,
is_pp_missing_parameter, skip_spec_layers, KimiK3MergedQKVGateLinear,
selective_scan_fn, causal_conv1d_update_torch.
- Delete dead utils: format_kib, format_mib, chunk_list, prev_power_of_2,
split_host_port, join_host_port, make_zmq_path, make_async_with_semaphore,
is_meta_module, is_non_overlapping_and_dense, supports_xpu_graph,
create_kv_caches_with_random*, and the unused has_* capability probes.
- Delete the unreachable deep-gemm mega-MoE warmup path, which imported
vllm.models.deepseek_v4.nvidia.model and vllm.models.kimi_k3.nvidia.model,
neither of which exists anymore.
- Drop the imports and the two now-empty guards left behind.
Verified statically: every changed file compiles, no unused import
remains, and no deleted name is referenced in vllm, tests or csrc. The
runtime gates still need the Python environment rebuilt.
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
MOVZXandHinata
61fbe0b865