[Feature] Batch invariant torch.compile (#27660)

Signed-off-by: PaulZhang12 <paulzhan@fb.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>

vllm/config/model.py

@@ -20,9 +20,6 @@ from vllm.config.pooler import PoolerConfig
 from vllm.config.scheduler import RunnerType
 from vllm.config.utils import assert_hashable, config, getattr_iter
 from vllm.logger import init_logger
-from vllm.model_executor.layers.batch_invariant import (
-    vllm_is_batch_invariant,
-)
 from vllm.platforms import current_platform
 from vllm.transformers_utils.config import (
     ConfigFormat,
@@ -436,10 +433,6 @@ class ModelConfig:
         skip_mm_profiling: bool | None,
         video_pruning_rate: float | None,
     ) -> None:
-        # Enable batch invariance settings if requested
-        if vllm_is_batch_invariant():
-            self.enforce_eager = True
-
         # Set the default seed to 0 in V1.
         # NOTE(woosuk): In V1, we use separate processes for workers (unless
         # VLLM_ENABLE_V1_MULTIPROCESSING=0), so setting a seed here