[gpt-oss] Add gpt-oss bf16 support

vllm/v1/worker/worker_base.py

@@ -0,0 +1,65 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+from typing import Optional
+
+import torch
+import torch.nn as nn
+
+from vllm.config import VllmConfig
+from vllm.logger import init_logger
+from vllm.v1.kv_cache_interface import KVCacheSpec
+from vllm.worker.worker_base import WorkerBase as WorkerBaseV0
+
+logger = init_logger(__name__)
+
+
+class WorkerBase(WorkerBaseV0):
+    """
+    Abstract class for v1 worker, mainly define some methods for v1.
+    For methods shared by v0 and v1, define them in v0 WorkerBase
+    """
+
+    def __init__(
+        self,
+        vllm_config: VllmConfig,
+        local_rank: int,
+        rank: int,
+        distributed_init_method: str,
+        is_driver_worker: bool = False,
+    ):
+        """
+        Initialize common worker components.
+        
+        Args:
+            vllm_config: Complete vLLM configuration
+            local_rank: Local device index
+            rank: Global rank in distributed setup
+            distributed_init_method: Distributed initialization method
+            is_driver_worker: Whether this worker handles driver 
+            responsibilities
+        """
+        # Configuration storage
+        super().__init__(vllm_config=vllm_config)
+
+        self.parallel_config.rank = rank
+        self.local_rank = local_rank
+        self.rank = rank
+        self.distributed_init_method = distributed_init_method
+        self.is_driver_worker = is_driver_worker
+
+        # Device and model state
+        self.device: Optional[torch.device] = None
+        self.model_runner: Optional[nn.Module] = None
+
+    def get_kv_cache_spec(self) -> dict[str, KVCacheSpec]:
+        """Get specifications for KV cache implementation."""
+        raise NotImplementedError
+
+    def compile_or_warm_up_model(self) -> None:
+        """Prepare model for execution through compilation/warmup."""
+        raise NotImplementedError
+
+    def check_health(self) -> None:
+        """Basic health check (override for device-specific checks)."""
+        return