[Bugfix][CPU] Fix InputBatch for pooling models in the CPU v1 (#20014)

Signed-off-by: jiang1.li <jiang1.li@intel.com>

tests/models/language/pooling/test_reward.py

@@ -101,4 +101,4 @@ def test_prm_models(
         hf_output = torch.tensor(hf_output)
         vllm_output = torch.tensor(vllm_output)
 
-        assert torch.allclose(hf_output, vllm_output, 1e-2)
+        assert torch.allclose(hf_output, vllm_output, 1.5e-2)

vllm/v1/worker/cpu_model_runner.py

@@ -7,6 +7,7 @@ import torch
 from vllm.config import VllmConfig
 from vllm.logger import init_logger
 from vllm.model_executor.model_loader import get_model
+from vllm.model_executor.models.interfaces import has_step_pooler
 from vllm.v1.worker.gpu_model_runner import GPUModelRunner
 
 logger = init_logger(__name__)
@@ -52,6 +53,9 @@ class CPUModelRunner(GPUModelRunner):
         logger.info("Starting to load model %s...", self.model_config.model)
         self.model = get_model(vllm_config=self.vllm_config)
 
+        if has_step_pooler(self.model):
+            self.input_batch.logits_processing_needs_token_ids = True
+
         if self.lora_config:
             self.model = self.load_lora_model(self.model, self.model_config,
                                               self.scheduler_config,