[worker] fix: support for vllm V0 deprecation version (#3687)

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Related to:
- vllm-project/vllm#25901
- vllm-project/vllm#25345

Now we first try to import `WorkerWrapperBase` from
`vllm.worker.worker_base`, if we have an error, we append `v1` there.

For `compute_logits` patch, we can just remove the import of
`SamplingMetadata`, create a wrapper that accepts any arguments with
*args, **kwargs, and pass them through to the original method, so that
it can be more flexible and future-proof.

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Signed-off-by: Hollow Man <[email protected]>

Author: HollowMan6

verl/workers/rollout/vllm_rollout/vllm_rollout_spmd.py

@@ -52,8 +52,12 @@
 from vllm import LLM, SamplingParams
 from vllm.config import CompilationConfig, CompilationLevel, LoRAConfig
 from vllm.lora.request import LoRARequest
-from vllm.model_executor.sampling_metadata import SamplingMetadata
-from vllm.worker.worker_base import WorkerWrapperBase
+
+try:
+    from vllm.worker.worker_base import WorkerWrapperBase
+except ModuleNotFoundError:
+    # https://github.com/vllm-project/vllm/commit/6a113d9aed8221a9c234535958e70e34ab6cac5b
+    from vllm.v1.worker.worker_base import WorkerWrapperBase
 
 from verl import DataProto
 from verl.third_party.vllm import VLLM_SLEEP_LEVEL
@@ -459,10 +463,10 @@ def _monkey_patch_compute_logits(model, vocab_size: int):
 
     def compute_logits(
         self,
-        hidden_states: torch.Tensor,
-        sampling_metadata: SamplingMetadata,
+        *args,
+        **kwargs,
     ) -> torch.Tensor:
-        logits = original_compute_logits(hidden_states, sampling_metadata)
+        logits = original_compute_logits(*args, **kwargs)
         logits[..., vocab_size:] = float("-inf")
         return logits