forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path__init__.py
34 lines (29 loc) · 1.35 KB
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
from __future__ import absolute_import, division, print_function, unicode_literals
from caffe2.proto import caffe2_pb2
import os
import sys
import platform
# TODO: refactor & remove the following alias
caffe2_pb2.CPU = caffe2_pb2.PROTO_CPU
caffe2_pb2.CUDA = caffe2_pb2.PROTO_CUDA
caffe2_pb2.MKLDNN = caffe2_pb2.PROTO_MKLDNN
caffe2_pb2.OPENGL = caffe2_pb2.PROTO_OPENGL
caffe2_pb2.OPENCL = caffe2_pb2.PROTO_OPENCL
caffe2_pb2.IDEEP = caffe2_pb2.PROTO_IDEEP
caffe2_pb2.HIP = caffe2_pb2.PROTO_HIP
caffe2_pb2.COMPILE_TIME_MAX_DEVICE_TYPES = caffe2_pb2.PROTO_COMPILE_TIME_MAX_DEVICE_TYPES
caffe2_pb2.ONLY_FOR_TEST = caffe2_pb2.PROTO_ONLY_FOR_TEST
if platform.system() == 'Windows':
# first get nvToolsExt PATH
def get_nvToolsExt_path():
NVTOOLEXT_HOME = os.getenv('NVTOOLSEXT_PATH', 'C:\\Program Files\\NVIDIA Corporation\\NvToolsExt')
if os.path.exists(NVTOOLEXT_HOME):
return os.path.join(NVTOOLEXT_HOME, 'bin', 'x64')
else:
return ''
py_dll_path = os.path.join(os.path.dirname(sys.executable), 'Library', 'bin')
th_root = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'torch')
th_dll_path = os.path.join(th_root, 'lib')
dll_paths = [th_dll_path, py_dll_path, get_nvToolsExt_path(), os.environ['PATH']]
# then add the path to env
os.environ['PATH'] = ';'.join(dll_paths)