pytorch/tools/setup_helpers/nccl.py
Edward Yang 173f224570 Turn on F401: Unused import warning. (#18598)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18598
ghimport-source-id: c74597e5e7437e94a43c163cee0639b20d0d0c6a

Stack from [ghstack](https://github.com/ezyang/ghstack):
* **#18598 Turn on F401: Unused import warning.**

This was requested by someone at Facebook; this lint is turned
on for Facebook by default.  "Sure, why not."

I had to noqa a number of imports in __init__.  Hypothetically
we're supposed to use __all__ in this case, but I was too lazy
to fix it.  Left for future work.

Be careful!  flake8-2 and flake8-3 behave differently with
respect to import resolution for # type: comments.  flake8-3 will
report an import unused; flake8-2 will not.  For now, I just
noqa'd all these sites.

All the changes were done by hand.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Differential Revision: D14687478

fbshipit-source-id: 30d532381e914091aadfa0d2a5a89404819663e3
2019-03-30 09:01:17 -07:00

77 lines
2.7 KiB
Python

import os
import glob
from .env import IS_WINDOWS, IS_DARWIN, IS_CONDA, CONDA_DIR, check_negative_env_flag, \
gather_paths
from .cuda import USE_CUDA, CUDA_HOME
USE_NCCL = USE_CUDA and not check_negative_env_flag('USE_NCCL') and not IS_DARWIN and not IS_WINDOWS
USE_SYSTEM_NCCL = False
NCCL_LIB_DIR = None
NCCL_SYSTEM_LIB = None
NCCL_INCLUDE_DIR = None
NCCL_ROOT_DIR = None
USE_STATIC_NCCL = os.getenv("USE_STATIC_NCCL")
LIBNCCL_PREFIX = "libnccl"
if USE_STATIC_NCCL is not None:
LIBNCCL_PREFIX = "libnccl_static"
if USE_CUDA and not check_negative_env_flag('USE_SYSTEM_NCCL'):
ENV_ROOT = os.getenv('NCCL_ROOT_DIR', None)
LIB_DIR = os.getenv('NCCL_LIB_DIR', None)
INCLUDE_DIR = os.getenv('NCCL_INCLUDE_DIR', None)
lib_paths = list(filter(bool, [
LIB_DIR,
ENV_ROOT,
os.path.join(ENV_ROOT, 'lib') if ENV_ROOT is not None else None,
os.path.join(ENV_ROOT, 'lib', 'x86_64-linux-gnu') if ENV_ROOT is not None else None,
os.path.join(ENV_ROOT, 'lib64') if ENV_ROOT is not None else None,
os.path.join(CUDA_HOME, 'lib'),
os.path.join(CUDA_HOME, 'lib64'),
'/usr/local/lib',
'/usr/lib/x86_64-linux-gnu/',
'/usr/lib/powerpc64le-linux-gnu/',
'/usr/lib/aarch64-linux-gnu/',
'/usr/lib',
] + gather_paths([
'LIBRARY_PATH',
]) + gather_paths([
'LD_LIBRARY_PATH',
])))
include_paths = list(filter(bool, [
INCLUDE_DIR,
ENV_ROOT,
os.path.join(ENV_ROOT, 'include') if ENV_ROOT is not None else None,
os.path.join(CUDA_HOME, 'include'),
'/usr/local/include',
'/usr/include',
]))
if IS_CONDA:
lib_paths.append(os.path.join(CONDA_DIR, 'lib'))
for path in lib_paths:
path = os.path.expanduser(path)
if path is None or not os.path.exists(path):
continue
if glob.glob(os.path.join(path, LIBNCCL_PREFIX + '*')):
NCCL_LIB_DIR = path
# try to find an exact versioned .so/.dylib, rather than libnccl.so
preferred_path = glob.glob(os.path.join(path, LIBNCCL_PREFIX + '*[0-9]*'))
if len(preferred_path) == 0:
NCCL_SYSTEM_LIB = glob.glob(os.path.join(path, LIBNCCL_PREFIX + '*'))[0]
else:
NCCL_SYSTEM_LIB = os.path.realpath(preferred_path[0])
break
for path in include_paths:
path = os.path.expanduser(path)
if path is None or not os.path.exists(path):
continue
if glob.glob(os.path.join(path, 'nccl.h')):
NCCL_INCLUDE_DIR = path
break
if NCCL_LIB_DIR is not None and NCCL_INCLUDE_DIR is not None:
USE_SYSTEM_NCCL = True
NCCL_ROOT_DIR = os.path.commonprefix((NCCL_LIB_DIR, NCCL_INCLUDE_DIR))