[Hardware] [Intel] Enable Multiprocessing and tensor parallel in CPU backend and update documentation (#6125)

vllm/utils.py

@@ -404,27 +404,6 @@ def update_environment_variables(envs: Dict[str, str]):
         os.environ[k] = v
 
 
-def init_kmp_env():
-    if not is_cpu():
-        return
-
-    ld_prealod_str = os.getenv("LD_PRELOAD", "")
-    if "libiomp5.so" not in ld_prealod_str:
-        return
-
-    # The time(milliseconds) that a thread should wait after completing the
-    # execution of a parallel region, before sleeping.
-    os.environ['KMP_BLOCKTIME'] = "1"
-    # dump settings on start up
-    os.environ['KMP_SETTINGS'] = "1"
-    # Prevents the CPU to run into low performance state
-    os.environ['KMP_TPAUSE'] = "0"
-    # Provides fine granularity parallelism
-    os.environ['KMP_FORKJOIN_BARRIER_PATTERN'] = "dist,dist"
-    os.environ['KMP_PLAIN_BARRIER_PATTERN'] = "dist,dist"
-    os.environ['KMP_REDUCTION_BARRIER_PATTERN'] = "dist,dist"
-
-
 def chunk_list(lst: List[T], chunk_size: int):
     """Yield successive chunk_size chunks from lst."""
     for i in range(0, len(lst), chunk_size):