pytorch/caffe2/python/_import_c_extension.py
2016-07-21 10:16:42 -07:00

32 lines
1.1 KiB
Python

import atexit
import logging
import sys
from caffe2.python import extension_loader
# We will first try to load the gpu-enabled caffe2. If it fails, we will then
# attempt to load the cpu version. The cpu backend is the minimum required, so
# if that still fails, we will exit loud.
with extension_loader.DlopenGuard():
try:
from .libcaffe2_python_gpu import * # noqa
if NumCudaDevices():
has_gpu_support = True
else:
has_gpu_support = False
except ImportError as e:
logging.warning(
'This caffe2 python run does not have GPU support. '
'Will run in CPU only mode.')
logging.warning('Debug message: {0}'.format(str(e)))
has_gpu_support = False
try:
from .libcaffe2_python_cpu import * # noqa
except ImportError as e:
logging.critical(
'Cannot load caffe2.python. Error: {0}'.format(str(e)))
sys.exit(1)
# libcaffe2_python contains a global Workspace that we need to properly delete
# when exiting. Otherwise, cudart will cause segfaults sometimes.
atexit.register(OnModuleExit) # noqa