[Entrypoint][Refactor] vLLM-Omni Entrypoint Refactoring (#1908)

Signed-off-by: yinpe <11810305@mail.sustech.edu.cn>
Signed-off-by: Peiqi Yin <yinpeiqi809@gmail.com>
Signed-off-by: yinpeiqi <yinpeiqi809@gmail.com>
Signed-off-by: wuhang <whlbx@hotmail.com>
Signed-off-by: linyueqian <linyueqian@outlook.com>
Signed-off-by: princepride <wangzhipeng628@gmail.com>
Signed-off-by: lishunyang <lishunyang12@163.com>
Signed-off-by: Chenguang ZHENG <645327136@qq.com>
Signed-off-by: Peiqi Yin <60515999+yinpeiqi@users.noreply.github.com>
Co-authored-by: yinpe <11810305@mail.sustech.edu.cn>
Co-authored-by: Peiqi Yin <yinpeiqi809@gmail.com>
Co-authored-by: wuhang <whlbx@hotmail.com>
Co-authored-by: Peiqi Yin <60515999+yinpeiqi@users.noreply.github.com>
Co-authored-by: linyueqian <linyueqian@outlook.com>
Co-authored-by: princepride <wangzhipeng628@gmail.com>
Co-authored-by: lishunyang <lishunyang12@163.com>
This commit is contained in:
authored and GitHub committed 2026-03-18 17:33:53 +08:00
1 parent 6a66a1fe36
commit 3158e9d28f
125 files changed
+5210 -9322

No files matched your search

+24 -32
View File
@@ -330,54 +330,46 @@ Stage transitions are the mechanism by which outputs from one stage are converte
### Where Stage Transitions Are Called
Stage transitions happen automatically in the orchestrator (`OmniLLM` class) during the generation loop. Here's the detailed flow:
Stage transitions happen automatically in the runtime orchestrator. Here's the detailed flow:
1. **Location**: `vllm_omni/entrypoints/omni_llm.py` in the `_run_generation()` method
1. **Location**: `vllm_omni/engine/orchestrator.py` in `_forward_to_next_stage()`
2. **Trigger**: When a stage completes processing and produces outputs
3. **Execution Flow**:
```python
# In omni_llm.py, _run_generation() method (around line 345-460)
# In orchestrator.py
next_stage_id = stage_id + 1
next_client = self.stage_clients[next_stage_id]
params = req_state.sampling_params_list[next_stage_id]
# Main orchestrator loop polls each stage for completed requests
for stage_id, stage in enumerate(self.stage_list):
result = stage.try_collect() # Get completed request
if result is None:
continue
# Save current stage outputs so stage_input_processors can consume them.
self.stage_clients[stage_id].set_engine_outputs([output])
# Store outputs from this stage
engine_outputs = _load(result, obj_key="engine_outputs", shm_key="engine_outputs_shm")
stage.set_engine_outputs(engine_outputs)
# THIS IS WHERE STAGE TRANSITION HAPPENS
next_inputs = next_client.process_engine_inputs(
stage_list=self.stage_clients,
prompt=req_state.prompt,
)
# Check if there's a next stage to forward to
next_stage_id = stage_id + 1
if next_stage_id < len(self.stage_list):
next_stage: OmniStage = self.stage_list[next_stage_id]
# THIS IS WHERE STAGE TRANSITION HAPPENS
next_inputs = next_stage.process_engine_inputs(
self.stage_list,
[request_id_to_prompt[req_id]]
)
# Submit to next stage
task = {
"type": OmniStageTaskType.GENERATE,
"request_id": req_id,
"engine_inputs": next_inputs[0],
"sampling_params": sampling_params_list[next_stage_id],
}
next_stage.submit(task)
# Build and submit request(s) to the next stage.
for next_input in next_inputs:
request = build_engine_core_request_from_tokens(
request_id=req_id,
prompt=next_input,
params=params,
model_config=self.stage_vllm_configs[next_stage_id].model_config,
)
await next_client.add_request_async(request)
```
### How Stage Transitions Work
The stage transition process follows these steps:
1. **Stage Completion**: When a stage finishes processing a request, it stores outputs via `stage.set_engine_outputs(engine_outputs)`
1. **Stage Completion**: When a stage finishes processing a request, the orchestrator stores outputs via `stage_client.set_engine_outputs(...)`
2. **Transition Detection**: The orchestrator checks if there's a next stage and calls `process_engine_inputs()` on it
3. **Input Processing**: The `process_engine_inputs()` method in `OmniStage` (`omni_stage.py`) handles the transition:
3. **Input Processing**: The stage input processor configured in stage YAML (under `vllm_omni/model_executor/stage_input_processors/`) handles the transition:
```python
def process_engine_inputs(
self, stage_list: list[Any], prompt: OmniTokensPrompt | TextPrompt = None