[WIP][Feature] Support chunked prefill when using Deepseek MTP model as draft model

[pyc96]

Deepseek MTP currently is not compatible with chunked prefill. When enabling both features, a runtime crash due to shape mismatch will happen when receiving certain number of concurrent requests and triggering chunked prefill.

python -m vllm.entrypoints.openai.api_server --gpu-memory-utilization 0.8  --max-model-len 65536 --max-num-seqs 128 --seed 0 --tensor-parallel-size 8 --model deepseek-ai/DeepSeek-R1 --trust-remote-code --num-speculative-tokens 3  --enable-chunked-prefill

***Sending concurrent requests..***

(VllmWorkerProcess pid=655093) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655091) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/spec_decode/spec_decode_worker.py", line 755, in _run_non_driver_rank
(VllmWorkerProcess pid=655089) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 171, in execute_model
(VllmWorkerProcess pid=655094) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/model_runner.py", line 1742, in execute_model
(VllmWorkerProcess pid=655092) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return func(*args, **kwargs)
(VllmWorkerProcess pid=655090) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/spec_decode/spec_decode_worker.py", line 755, in _run_non_driver_rank
(VllmWorkerProcess pid=655088) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655093) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/spec_decode/spec_decode_worker.py", line 755, in _run_non_driver_rank
(VllmWorkerProcess pid=655091) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     self.proposer_worker.execute_model()
(VllmWorkerProcess pid=655089) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return self.worker.execute_model(execute_model_req)
(VllmWorkerProcess pid=655094) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     hidden_or_intermediate_states = model_executable(
(VllmWorkerProcess pid=655092) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]            ^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655090) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     self.proposer_worker.execute_model()
(VllmWorkerProcess pid=655088) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/spec_decode/spec_decode_worker.py", line 755, in _run_non_driver_rank
(VllmWorkerProcess pid=655093) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     self.proposer_worker.execute_model()
(VllmWorkerProcess pid=655091) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 171, in execute_model
INFO:     127.0.0.1:41546 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error
(VllmWorkerProcess pid=655089) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655094) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]                                     ^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655092) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/spec_decode/spec_decode_worker.py", line 551, in start_worker_execution_loop
(VllmWorkerProcess pid=655090) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 171, in execute_model
(VllmWorkerProcess pid=655088) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     self.proposer_worker.execute_model()
(VllmWorkerProcess pid=655093) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 171, in execute_model
(VllmWorkerProcess pid=655091) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return self.worker.execute_model(execute_model_req)
(VllmWorkerProcess pid=655089) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 420, in execute_model
(VllmWorkerProcess pid=655094) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-env/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl
(VllmWorkerProcess pid=655092) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     while self._run_non_driver_rank():
(VllmWorkerProcess pid=655090) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return self.worker.execute_model(execute_model_req)
(VllmWorkerProcess pid=655092) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655088) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]   File "/workspace/vllm-oss/vllm/worker/worker_base.py", line 171, in execute_model
(VllmWorkerProcess pid=655093) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return self.worker.execute_model(execute_model_req)
(VllmWorkerProcess pid=655091) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(VllmWorkerProcess pid=655089) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     output = self.model_runner.execute_model(
(VllmWorkerProcess pid=655094) ERROR 03-19 19:13:19 [multiproc_worker_utils.py:242]     return self._call_impl(*args, **kwargs)
ERROR 03-19 19:13:19 [engine.py:141] RuntimeError('Tensors must have same number of dimensions: got 2 and 3')

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[pyc96]

Just found out #14922 completed most of the work and can be directly reused for MTP. Simply allow both drafter model types 'eagle' and 'deepseek_mtp' to use/update prefill_hidden_states can fix the issue

[ayrnb]

Has it been supported?

[mergify]

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @pyc96.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

[hmellor]

Closing as stale