[Chore] Separate out NCCL utilities from vllm.utils (#27197)

Signed-off-by: dongbo910220 <1275604947@qq.com>

vllm/distributed/device_communicators/pynccl_allocator.py

@@ -14,7 +14,7 @@ from vllm import envs
 from vllm.distributed.device_communicators.pynccl import PyNcclCommunicator
 from vllm.logger import init_logger
 from vllm.platforms import current_platform
-from vllm.utils import find_nccl_include_paths
+from vllm.utils.nccl import find_nccl_include_paths
 
 logger = init_logger(__name__)
 

vllm/distributed/device_communicators/pynccl_wrapper.py

@@ -33,7 +33,7 @@ from torch.distributed import ReduceOp
 from vllm import envs
 from vllm.logger import init_logger
 from vllm.platforms import current_platform
-from vllm.utils import find_nccl_library
+from vllm.utils.nccl import find_nccl_library
 
 logger = init_logger(__name__)
 

vllm/utils/__init__.py

@@ -11,7 +11,6 @@ import json
 import multiprocessing
 import os
 import signal
-import subprocess
 import sys
 import tempfile
 import textwrap
@@ -211,90 +210,6 @@ def init_cached_hf_modules() -> None:
     init_hf_modules()
 
 
-@cache
-def find_library(lib_name: str) -> str:
-    """
-    Find the library file in the system.
-    `lib_name` is full filename, with both prefix and suffix.
-    This function resolves `lib_name` to the full path of the library.
-    """
-    # Adapted from https://github.com/openai/triton/blob/main/third_party/nvidia/backend/driver.py#L19 # noqa
-    # According to https://en.wikipedia.org/wiki/Filesystem_Hierarchy_Standard
-    # `/sbin/ldconfig` should exist in all Linux systems.
-    # `/sbin/ldconfig` searches the library in the system
-    libs = subprocess.check_output(["/sbin/ldconfig", "-p"]).decode()
-    # each line looks like the following:
-    # libcuda.so.1 (libc6,x86-64) => /lib/x86_64-linux-gnu/libcuda.so.1
-    locs = [line.split()[-1] for line in libs.splitlines() if lib_name in line]
-    # `LD_LIBRARY_PATH` searches the library in the user-defined paths
-    env_ld_library_path = envs.LD_LIBRARY_PATH
-    if not locs and env_ld_library_path:
-        locs = [
-            os.path.join(dir, lib_name)
-            for dir in env_ld_library_path.split(":")
-            if os.path.exists(os.path.join(dir, lib_name))
-        ]
-    if not locs:
-        raise ValueError(f"Cannot find {lib_name} in the system.")
-    return locs[0]
-
-
-def find_nccl_library() -> str:
-    """
-    We either use the library file specified by the `VLLM_NCCL_SO_PATH`
-    environment variable, or we find the library file brought by PyTorch.
-    After importing `torch`, `libnccl.so.2` or `librccl.so.1` can be
-    found by `ctypes` automatically.
-    """
-    so_file = envs.VLLM_NCCL_SO_PATH
-
-    # manually load the nccl library
-    if so_file:
-        logger.info(
-            "Found nccl from environment variable VLLM_NCCL_SO_PATH=%s", so_file
-        )
-    else:
-        if torch.version.cuda is not None:
-            so_file = "libnccl.so.2"
-        elif torch.version.hip is not None:
-            so_file = "librccl.so.1"
-        else:
-            raise ValueError("NCCL only supports CUDA and ROCm backends.")
-        logger.debug_once("Found nccl from library %s", so_file)
-    return so_file
-
-
-def find_nccl_include_paths() -> list[str] | None:
-    """
-    We either use the nccl.h specified by the `VLLM_NCCL_INCLUDE_PATH`
-    environment variable, or we find the library file brought by
-    nvidia-nccl-cuXX. load_inline by default uses
-    torch.utils.cpp_extension.include_paths
-    """
-    paths: list[str] = []
-    inc = envs.VLLM_NCCL_INCLUDE_PATH
-    if inc and os.path.isdir(inc):
-        paths.append(inc)
-
-    try:
-        spec = importlib.util.find_spec("nvidia.nccl")
-        if spec and getattr(spec, "submodule_search_locations", None):
-            for loc in spec.submodule_search_locations:
-                inc_dir = os.path.join(loc, "include")
-                if os.path.exists(os.path.join(inc_dir, "nccl.h")):
-                    paths.append(inc_dir)
-    except Exception:
-        pass
-
-    seen = set()
-    out: list[str] = []
-    for p in paths:
-        if p and p not in seen:
-            out.append(p)
-            seen.add(p)
-    return out or None
-
-
 def enable_trace_function_call_for_thread(vllm_config: VllmConfig) -> None:
     """Set up function tracing for the current thread,
     if enabled via the VLLM_TRACE_FUNCTION environment variable

vllm/utils/nccl.py

+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+from __future__ import annotations
+
+import importlib
+import os
+
+import torch
+
+import vllm.envs as envs
+from vllm.logger import init_logger
+
+logger = init_logger(__name__)
+
+
+def find_nccl_library() -> str:
+    """Return NCCL/RCCL shared library name to load.
+
+    Uses `VLLM_NCCL_SO_PATH` if set; otherwise chooses by torch backend.
+    """
+    so_file = envs.VLLM_NCCL_SO_PATH
+    if so_file:
+        logger.info(
+            "Found nccl from environment variable VLLM_NCCL_SO_PATH=%s", so_file
+        )
+    else:
+        if torch.version.cuda is not None:
+            so_file = "libnccl.so.2"
+        elif torch.version.hip is not None:
+            so_file = "librccl.so.1"
+        else:
+            raise ValueError("NCCL only supports CUDA and ROCm backends.")
+        logger.debug_once("Found nccl from library %s", so_file)
+    return so_file
+
+
+def find_nccl_include_paths() -> list[str] | None:
+    """Return possible include paths containing `nccl.h`.
+
+    Considers `VLLM_NCCL_INCLUDE_PATH` and the `nvidia-nccl-cuXX` package.
+    """
+    paths: list[str] = []
+    inc = envs.VLLM_NCCL_INCLUDE_PATH
+    if inc and os.path.isdir(inc):
+        paths.append(inc)
+
+    try:
+        spec = importlib.util.find_spec("nvidia.nccl")
+        if spec and getattr(spec, "submodule_search_locations", None):
+            for loc in spec.submodule_search_locations:
+                inc_dir = os.path.join(loc, "include")
+                if os.path.exists(os.path.join(inc_dir, "nccl.h")):
+                    paths.append(inc_dir)
+    except Exception as e:
+        logger.debug("Failed to find nccl include path from nvidia.nccl package: %s", e)
+
+    seen: set[str] = set()
+    out: list[str] = []
+    for p in paths:
+        if p and p not in seen:
+            out.append(p)
+            seen.add(p)
+    return out or None