-
Notifications
You must be signed in to change notification settings - Fork 27.9k
Expand file tree
/
Copy pathsetup.py
More file actions
130 lines (114 loc) · 3.68 KB
/
setup.py
File metadata and controls
130 lines (114 loc) · 3.68 KB
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
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
import os
import sys
from setuptools import setup
import torch.cuda
from torch.testing._internal.common_utils import IS_WINDOWS
from torch.utils.cpp_extension import (
BuildExtension,
CppExtension,
CUDA_HOME,
CUDAExtension,
ROCM_HOME,
SyclExtension,
)
if sys.platform == "win32":
vc_version = os.getenv("VCToolsVersion", "")
if vc_version.startswith("14.16."):
CXX_FLAGS = ["/sdl"]
else:
CXX_FLAGS = ["/sdl", "/permissive-"]
else:
CXX_FLAGS = ["-g"]
USE_NINJA = os.getenv("USE_NINJA") == "1"
ext_modules = [
CppExtension(
"torch_test_cpp_extension.cpp", ["extension.cpp"], extra_compile_args=CXX_FLAGS
),
CppExtension(
"torch_test_cpp_extension.maia",
["maia_extension.cpp"],
extra_compile_args=CXX_FLAGS,
),
CppExtension(
"torch_test_cpp_extension.rng",
["rng_extension.cpp"],
extra_compile_args=CXX_FLAGS,
),
]
NVCC_FLAGS = ["-O2"] + (["-DUSE_CUDA"] if IS_WINDOWS else [])
if torch.cuda.is_available() and (CUDA_HOME is not None or ROCM_HOME is not None):
extension = CUDAExtension(
"torch_test_cpp_extension.cuda",
[
"cuda_extension.cpp",
"cuda_extension_kernel.cu",
"cuda_extension_kernel2.cu",
],
extra_compile_args={"cxx": CXX_FLAGS, "nvcc": NVCC_FLAGS},
)
ext_modules.append(extension)
if torch.cuda.is_available() and (CUDA_HOME is not None or ROCM_HOME is not None):
extension = CUDAExtension(
"torch_test_cpp_extension.torch_library",
["torch_library.cu"],
extra_compile_args={"cxx": CXX_FLAGS, "nvcc": NVCC_FLAGS},
)
ext_modules.append(extension)
if torch.backends.mps.is_available():
extension = CppExtension(
"torch_test_cpp_extension.mps",
["mps_extension.mm"],
extra_compile_args=CXX_FLAGS,
)
ext_modules.append(extension)
if torch.xpu.is_available() and USE_NINJA:
extension = SyclExtension(
"torch_test_cpp_extension.sycl",
["xpu_extension.sycl"],
extra_compile_args={"cxx": CXX_FLAGS, "sycl": ["-O2"]},
)
ext_modules.append(extension)
# todo(mkozuki): Figure out the root cause
if (not IS_WINDOWS) and torch.cuda.is_available() and CUDA_HOME is not None:
# malfet: One should not assume that PyTorch re-exports CUDA dependencies
cublas_extension = CUDAExtension(
name="torch_test_cpp_extension.cublas_extension",
sources=["cublas_extension.cpp"],
libraries=["cublas"] if torch.version.hip is None else [],
)
ext_modules.append(cublas_extension)
cusolver_extension = CUDAExtension(
name="torch_test_cpp_extension.cusolver_extension",
sources=["cusolver_extension.cpp"],
libraries=["cusolver"] if torch.version.hip is None else [],
)
ext_modules.append(cusolver_extension)
if (
USE_NINJA
and (not IS_WINDOWS)
and torch.cuda.is_available()
and CUDA_HOME is not None
):
extension = CUDAExtension(
name="torch_test_cpp_extension.cuda_dlink",
sources=[
"cuda_dlink_extension.cpp",
"cuda_dlink_extension_kernel.cu",
"cuda_dlink_extension_add.cu",
],
dlink=True,
extra_compile_args={"cxx": CXX_FLAGS, "nvcc": ["-O2", "-dc"]},
)
ext_modules.append(extension)
setup(
name="torch_test_cpp_extension",
packages=["torch_test_cpp_extension"],
ext_modules=ext_modules,
include_dirs="self_compiler_include_dirs_test",
cmdclass={"build_ext": BuildExtension.with_options(use_ninja=USE_NINJA)},
entry_points={
"torch.backends": [
"device_backend = torch_test_cpp_extension:_autoload",
],
},
)