debug qwen tts

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
This commit is contained in:
tzhouam committed 2026-02-24 03:17:11 +00:00
1 parent bf69cd94bb
commit 9070f15f52
4 files changed
+19 -6

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@@ -111,6 +111,8 @@ class OmniGenerationScheduler(VLLMScheduler):
req_to_new_blocks[request.request_id] = new_blocks
num_scheduled_tokens[request.request_id] = num_new_tokens
cached_prompt_token_ids[request.request_id] = request.prompt_token_ids
if request.num_cached_tokens < 0:
request.num_cached_tokens = num_computed_tokens
token_budget -= num_new_tokens
scheduled_running_reqs.append(request)
req_index += 1
@@ -177,6 +179,8 @@ class OmniGenerationScheduler(VLLMScheduler):
req_to_new_blocks[request.request_id] = new_blocks
num_scheduled_tokens[request.request_id] = num_new_tokens
if request.num_cached_tokens < 0:
request.num_cached_tokens = 0
token_budget -= num_new_tokens
scheduled_new_reqs.append(request)
@@ -48,7 +48,7 @@ class SharedMemoryConnector(OmniConnectorBase):
payload = self.serialize_obj(data)
size = len(payload)
if size > self.threshold:
if True:
# Use Shared Memory
lock_file = f"/dev/shm/shm_{put_key}_lockfile.lock"
with open(lock_file, "w") as lockf:
@@ -145,7 +145,7 @@ class OmniMsgpackEncoder:
"encoder_prompt": obj.encoder_prompt,
"encoder_prompt_token_ids": obj.encoder_prompt_token_ids,
"num_cached_tokens": obj.num_cached_tokens,
"multi_modal_placeholders": obj.multi_modal_placeholders,
"multi_modal_placeholders": getattr(obj, "multi_modal_placeholders", None),
"kv_transfer_params": obj.kv_transfer_params,
}
# Handle dynamically added multimodal_output attribute
@@ -301,15 +301,22 @@ class OmniMsgpackDecoder:
"""Decode dict to RequestOutput.
RequestOutput is not a dataclass, so msgspec.convert doesn't work.
We construct it manually, passing all known fields via **kwargs.
We construct it manually using only the known __init__ parameters to
avoid triggering the "Ignoring extra arguments" warning in vllm.
Fields that are not part of RequestOutput.__init__ (e.g.
multi_modal_placeholders, multimodal_output) are extracted first and
then restored as dynamic attributes after construction.
"""
# Extract multimodal_output before constructing (it's dynamically added)
# Extract dynamically-added / non-init fields before constructing so
# they are not passed as unknown **kwargs to RequestOutput.__init__.
mm_output = obj.pop("multimodal_output", None)
multi_modal_placeholders = obj.pop("multi_modal_placeholders", None)
# RequestOutput.__init__ accepts **kwargs for forward compatibility
ro = RequestOutput(**obj)
# Restore dynamically added multimodal_output attribute
# Restore dynamic attributes that are not part of __init__.
if multi_modal_placeholders is not None:
setattr(ro, "multi_modal_placeholders", multi_modal_placeholders)
if mm_output is not None:
setattr(ro, "multimodal_output", mm_output)
return ro
@@ -143,6 +143,7 @@ class _LocalPredictorKVCache:
cursor += 1
max_seq_len = int(seq_lens_i32[:num_reqs].max().item())
max_query_len = int(query_lens_i32[:num_reqs].max().item())
query_start_loc_gpu = qsl.to(device=self.device)
seq_lens_gpu = seq_lens_i32.to(device=self.device)
block_table = self._block_table[:num_reqs].contiguous()
@@ -154,6 +155,7 @@ class _LocalPredictorKVCache:
num_tokens=num_tokens,
query_start_loc_gpu=query_start_loc_gpu,
query_start_loc_cpu=qsl,
max_query_len=max_query_len,
seq_lens=seq_lens_gpu,
max_seq_len=max_seq_len,
block_tables=[block_table],