vLLM 0.29 renamed the audio attention projection from qkv to qkv_proj, and
its stacked mapping now rewrites checkpoint q_proj/k_proj/v_proj onto that
name. Omni subclasses the upstream audio attention and mirrors its __init__
to add quant_config, so it kept building self.qkv and weight loading died
with "There is no module or parameter named layers.0.self_attn.qkv_proj in
Qwen3OmniMoeAudioEncoder ... available: self_attn.qkv.weight". The inherited
forward calls self.qkv_proj too, so the old name broke both paths.
This is a second, independent cause behind the Omni Accuracy Test failure:
the shutdown-timeout signature also appeared in that job, which is why the
earlier pass attributed it solely to the shutdown fix. Both builds 3009 and
3010 carry this weight-loading error, so it predates that pass.
Not reproducible locally: it needs the 30B checkpoint. The rename mirrors
upstream Qwen3OmniMoeAudioAttention exactly, and the 20 Qwen3-Omni unit tests
still pass.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146Xu5Sgj4vXxLxvLjV5YPj
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Five further removals/renames, each traced from a failing 3009 job:
- StageEngineCoreProcManager mirrors the parent __init__ rather than calling
super(), and 0.29 added _request_shutdown_timeout there. The inherited
shutdown() read it, raised AttributeError, and left the engine core
subprocesses running, so the test process hung at interpreter exit until
the 15 minute job timeout. That is the whole of the Engine&Model Executor
exit-124: its pytest reported 567 passed, then sat idle for 663s. The
failure surfaced only as a StagePool warning, never as a test failure.
- PromptUpdateDetails.select_text is gone; prompt updates are token oriented
now. MiniCPM-o 4.5 kept three text-based image/video/audio replacements,
which crashed stage-0 startup and account for the whole MiniCPM-o cluster.
They encode the text and select the unk placeholder by token id instead.
- Qwen3-Omni: 0.29 marks audio_feature_lengths keep_on_cpu, while the audio
tower derives device placement from feature_lens, so the mask comparison
mixed cuda and cpu tensors. Moved explicitly, matching upstream
Qwen3OmniMoeThinker._process_audio_input.
- AttentionBackend.get_kv_cache_shape is gone; the per-layer shape comes from
the spec via compute_layer_kv_cache_shape_bytes, whose content dim is in
bytes.
- WeightsMapper.get_unstacked_mapper is renamed to get_rename_mapper.
tests/engine/test_async_omni_engine_abort.py::test_abort fails here both with
and without these changes, so it is environmental rather than a regression.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146Xu5Sgj4vXxLxvLjV5YPj
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Four unrelated 0.29 surface changes, each reproduced locally against the
pinned f5c3cc24 build:
- PromptUpdateDetails.is_embed now takes only the full token list. The
Bagel img2img replacement still declared (tok, seq), which crashed
stage-0 engine core startup and produced the Distributed and Qwen3-Omni
"no live replica" failures rather than anything KV related.
- dispatch_unquantized_gemm gained a linear_backend argument and is called
with it. The CPU-forcing test stubs took no arguments; they now accept
and ignore whatever upstream passes so a further signature change does
not break them again.
- VocabParallelEmbedding gained a fused kernel that engages whenever
tp_size > 1 on CUDA, and it has no CPU implementation. The encoder TP
fixtures drive CPU tensors under a faked TP group, so they pin the
portable masked path.
- The pyav video decoder backend was removed; valid options are now
opencv, torchcodec, pynvvideocodec and deepstream. The OpenAI video
endpoint hardcoded pyav, which turned every video request into a 400.
It moves to opencv, the upstream default.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146Xu5Sgj4vXxLxvLjV5YPj
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
