build.py 2.16 KB
Newer Older
Hang Zhang's avatar
init  
Hang Zhang committed
1
2
3
4
5
6
7
8
9
10
11
12
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
## Created by: Hang Zhang
## ECE Department, Rutgers University
## Email: zhang.hang@rutgers.edu
## Copyright (c) 2017
##
## This source code is licensed under the MIT-style license found in the
## LICENSE file in the root directory of this source tree 
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

import os
import torch
Hang Zhang's avatar
Hang Zhang committed
13
import platform
Hang Zhang's avatar
backend  
Hang Zhang committed
14
import subprocess
Hang Zhang's avatar
init  
Hang Zhang committed
15
16
from torch.utils.ffi import create_extension

Hang Zhang's avatar
Hang Zhang committed
17
lib_path = os.path.join(os.path.dirname(torch.__file__), 'lib')
Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
18
cwd = os.path.dirname(os.path.realpath(__file__))
Hang Zhang's avatar
path  
Hang Zhang committed
19
encoding_lib_path = os.path.join(cwd, "encoding", "lib")
Hang Zhang's avatar
Hang Zhang committed
20

Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
21
22
23
24
25
# clean the build files
clean_cmd = ['bash', 'clean.sh']
subprocess.check_call(clean_cmd)

# build CUDA library
Hang Zhang's avatar
Hang Zhang committed
26
27
os.environ['TORCH_BUILD_DIR'] = lib_path
if platform.system() == 'Darwin':
Hang Zhang's avatar
aten  
Hang Zhang committed
28
    os.environ['TH_LIBRARIES'] = os.path.join(lib_path,'libATen.1.dylib')
Hang Zhang's avatar
path  
Hang Zhang committed
29
30
    ENCODING_LIB = os.path.join(cwd, 'encoding/lib/libENCODING.dylib')

Hang Zhang's avatar
Hang Zhang committed
31
else:
Hang Zhang's avatar
aten  
Hang Zhang committed
32
    os.environ['TH_LIBRARIES'] = os.path.join(lib_path,'libATen.so.1')
Hang Zhang's avatar
path  
Hang Zhang committed
33
    ENCODING_LIB = os.path.join(cwd, 'encoding/lib/libENCODING.so')
Hang Zhang's avatar
Hang Zhang committed
34

Hang Zhang's avatar
backend  
Hang Zhang committed
35
build_all_cmd = ['bash', 'encoding/make.sh']
36
subprocess.check_call(build_all_cmd, env=dict(os.environ))
Hang Zhang's avatar
backend  
Hang Zhang committed
37

Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
38
# build FFI
Hang Zhang's avatar
backend  
Hang Zhang committed
39
sources = ['encoding/src/encoding_lib.cpp']
Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
40
41
42
headers = [
    'encoding/src/encoding_lib.h',
]
Hang Zhang's avatar
backend  
Hang Zhang committed
43
44
45
defines = [('WITH_CUDA', None)]
with_cuda = True 

Hang Zhang's avatar
Hang Zhang committed
46
include_path = [os.path.join(lib_path, 'include'),
Hang Zhang's avatar
path  
Hang Zhang committed
47
                os.path.join(cwd,'encoding/kernel'), 
Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
48
49
                os.path.join(cwd,'encoding/kernel/include'), 
                os.path.join(cwd,'encoding/src/')]
Hang Zhang's avatar
init  
Hang Zhang committed
50

Hang Zhang's avatar
Hang Zhang committed
51
def make_relative_rpath(path):
Hang Zhang's avatar
indent  
Hang Zhang committed
52
53
54
55
    if platform.system() == 'Darwin':
        return '-Wl,-rpath,' + path
    else:
        return '-Wl,-rpath,' + path
Hang Zhang's avatar
tested  
Hang Zhang committed
56

Hang Zhang's avatar
init  
Hang Zhang committed
57
ffi = create_extension(
Hang Zhang's avatar
indent  
Hang Zhang committed
58
59
60
61
62
63
64
    'encoding._ext.encoding_lib',
    package=True,
    headers=headers,
    sources=sources,
    define_macros=defines,
    relative_to=__file__,
    with_cuda=with_cuda,
Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
65
66
67
    include_dirs = include_path,
    extra_link_args = [
        make_relative_rpath(lib_path),
Hang Zhang's avatar
path  
Hang Zhang committed
68
        make_relative_rpath(encoding_lib_path),
Hang Zhang's avatar
v0.1.0  
Hang Zhang committed
69
70
        ENCODING_LIB,
    ],
Hang Zhang's avatar
init  
Hang Zhang committed
71
72
73
74
)

if __name__ == '__main__':
    ffi.build()