setup.py 21.3 KB
Newer Older
1
2
import glob
import os
3
import platform
Rinat Shigapov's avatar
Rinat Shigapov committed
4
import re
5
from pkg_resources import DistributionNotFound, get_distribution, parse_version
6
from setuptools import find_packages, setup
7
from get_version import get_version
Yuanhao Zhu's avatar
Yuanhao Zhu committed
8
9
10
11
12
13
14

EXT_TYPE = ''
try:
    import torch
    if torch.__version__ == 'parrots':
        from parrots.utils.build_extension import BuildExtension
        EXT_TYPE = 'parrots'
15
16
17
18
    elif (hasattr(torch, 'is_mlu_available') and torch.is_mlu_available()) or \
            os.getenv('FORCE_MLU', '0') == '1':
        from torch_mlu.utils.cpp_extension import BuildExtension
        EXT_TYPE = 'pytorch'
Yuanhao Zhu's avatar
Yuanhao Zhu committed
19
20
21
    else:
        from torch.utils.cpp_extension import BuildExtension
        EXT_TYPE = 'pytorch'
22
    cmd_class = {'build_ext': BuildExtension}
Yuanhao Zhu's avatar
Yuanhao Zhu committed
23
except ModuleNotFoundError:
24
    cmd_class = {}
Yuanhao Zhu's avatar
Yuanhao Zhu committed
25
    print('Skip building ext ops due to the absence of torch.')
26

Rinat Shigapov's avatar
Rinat Shigapov committed
27
28

def choose_requirement(primary, secondary):
Kai Chen's avatar
Kai Chen committed
29
30
    """If some version of primary requirement installed, return primary, else
    return secondary."""
Rinat Shigapov's avatar
Rinat Shigapov committed
31
32
33
34
35
36
37
38
39
    try:
        name = re.split(r'[!<>=]', primary)[0]
        get_distribution(name)
    except DistributionNotFound:
        return secondary

    return str(primary)


40
41
42
43
44
#def get_version():
#    version_file = 'mmcv/version.py'
#    with open(version_file, encoding='utf-8') as f:
#        exec(compile(f.read(), version_file, 'exec'))
#    return locals()['__version__']
45
46


47
def parse_requirements(fname='requirements/runtime.txt', with_version=True):
Kai Chen's avatar
Kai Chen committed
48
    """Parse the package dependencies listed in a requirements file but strips
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
    specific versioning information.

    Args:
        fname (str): path to requirements file
        with_version (bool, default=False): if True include version specs

    Returns:
        List[str]: list of requirements items

    CommandLine:
        python -c "import setup; print(setup.parse_requirements())"
    """
    import sys
    from os.path import exists
    require_fpath = fname

    def parse_line(line):
Kai Chen's avatar
Kai Chen committed
66
        """Parse information from a line in a requirements text file."""
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
        if line.startswith('-r '):
            # Allow specifying requirements in other files
            target = line.split(' ')[1]
            for info in parse_require_file(target):
                yield info
        else:
            info = {'line': line}
            if line.startswith('-e '):
                info['package'] = line.split('#egg=')[1]
            else:
                # Remove versioning from the package
                pat = '(' + '|'.join(['>=', '==', '>']) + ')'
                parts = re.split(pat, line, maxsplit=1)
                parts = [p.strip() for p in parts]

                info['package'] = parts[0]
                if len(parts) > 1:
                    op, rest = parts[1:]
                    if ';' in rest:
                        # Handle platform specific dependencies
                        # http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
                        version, platform_deps = map(str.strip,
                                                     rest.split(';'))
                        info['platform_deps'] = platform_deps
                    else:
                        version = rest  # NOQA
                    info['version'] = (op, version)
            yield info

    def parse_require_file(fpath):
97
        with open(fpath) as f:
98
99
100
            for line in f.readlines():
                line = line.strip()
                if line and not line.startswith('#'):
101
                    yield from parse_line(line)
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121

    def gen_packages_items():
        if exists(require_fpath):
            for info in parse_require_file(require_fpath):
                parts = [info['package']]
                if with_version and 'version' in info:
                    parts.extend(info['version'])
                if not sys.version.startswith('3.4'):
                    # apparently package_deps are broken in 3.4
                    platform_deps = info.get('platform_deps')
                    if platform_deps is not None:
                        parts.append(';' + platform_deps)
                item = ''.join(parts)
                yield item

    packages = list(gen_packages_items())
    return packages


install_requires = parse_requirements()
122
123
124
125
126
127
128
129
130
131
132
133
134
135

try:
    # OpenCV installed via conda.
    import cv2  # NOQA: F401
    major, minor, *rest = cv2.__version__.split('.')
    if int(major) < 3:
        raise RuntimeError(
            f'OpenCV >=3 is required but {cv2.__version__} is installed')
except ImportError:
    # If first not installed install second package
    CHOOSE_INSTALL_REQUIRES = [('opencv-python-headless>=3',
                                'opencv-python>=3')]
    for main, secondary in CHOOSE_INSTALL_REQUIRES:
        install_requires.append(choose_requirement(main, secondary))
136

Kai Chen's avatar
Kai Chen committed
137

138
139
140
def get_extensions():
    extensions = []

Zaida Zhou's avatar
Zaida Zhou committed
141
    if os.getenv('MMCV_WITH_OPS', '1') == '0':
142
143
        return extensions

Yuanhao Zhu's avatar
Yuanhao Zhu committed
144
145
146
    if EXT_TYPE == 'parrots':
        ext_name = 'mmcv._ext'
        from parrots.utils.build_extension import Extension
147

148
149
150
        # new parrots op impl do not use MMCV_USE_PARROTS
        # define_macros = [('MMCV_USE_PARROTS', None)]
        define_macros = []
151
152
        include_dirs = []
        op_files = glob.glob('./mmcv/ops/csrc/pytorch/cuda/*.cu') +\
153
            glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp') +\
154
            glob.glob('./mmcv/ops/csrc/parrots/*.cpp')
155
156
        include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
        include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common/cuda'))
limm's avatar
limm committed
157
158
159
        op_files.remove('./mmcv/ops/csrc/pytorch/cuda/iou3d_cuda.cu')
        op_files.remove('./mmcv/ops/csrc/pytorch/cpu/bbox_overlaps_cpu.cpp')
        op_files.remove('./mmcv/ops/csrc/pytorch/cuda/bias_act_cuda.cu')
Yuanhao Zhu's avatar
Yuanhao Zhu committed
160
        cuda_args = os.getenv('MMCV_CUDA_ARGS')
161
        extra_compile_args = {
162
163
            'nvcc': [cuda_args, '-std=c++14'] if cuda_args else ['-std=c++14'],
            'cxx': ['-std=c++14'],
164
165
166
167
168
169
170
171
        }
        if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
            define_macros += [('MMCV_WITH_CUDA', None)]
            extra_compile_args['nvcc'] += [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
Yuanhao Zhu's avatar
Yuanhao Zhu committed
172
173
174
        ext_ops = Extension(
            name=ext_name,
            sources=op_files,
175
            include_dirs=include_dirs,
Yuanhao Zhu's avatar
Yuanhao Zhu committed
176
            define_macros=define_macros,
177
178
179
            extra_compile_args=extra_compile_args,
            cuda=True,
            pytorch=True)
Yuanhao Zhu's avatar
Yuanhao Zhu committed
180
181
        extensions.append(ext_ops)
    elif EXT_TYPE == 'pytorch':
182
        ext_name = 'mmcv._ext'
183
184
        from torch.utils.cpp_extension import CppExtension, CUDAExtension

Yuanhao Zhu's avatar
Yuanhao Zhu committed
185
        # prevent ninja from using too many resources
lizz's avatar
lizz committed
186
187
188
189
190
191
192
193
        try:
            import psutil
            num_cpu = len(psutil.Process().cpu_affinity())
            cpu_use = max(4, num_cpu - 1)
        except (ModuleNotFoundError, AttributeError):
            cpu_use = 4

        os.environ.setdefault('MAX_JOBS', str(cpu_use))
Yuanhao Zhu's avatar
Yuanhao Zhu committed
194
        define_macros = []
195
196
197
198
199
200
201
202
203

        # Before PyTorch1.8.0, when compiling CUDA code, `cxx` is a
        # required key passed to PyTorch. Even if there is no flag passed
        # to cxx, users also need to pass an empty list to PyTorch.
        # Since PyTorch1.8.0, it has a default value so users do not need
        # to pass an empty list anymore.
        # More details at https://github.com/pytorch/pytorch/pull/45956
        extra_compile_args = {'cxx': []}

204
        if platform.system() != 'Windows':
limm's avatar
limm committed
205
206
207
208
            if parse_version(torch.__version__) <= parse_version('1.12.1'):
                extra_compile_args['cxx'] = ['-std=c++14']
            else:
                extra_compile_args['cxx'] = ['-std=c++17']
209
        else:
limm's avatar
limm committed
210
            if parse_version(torch.__version__) <= parse_version('1.12.1'):
211
                extra_compile_args['cxx'] = ['/std:c++14']
limm's avatar
limm committed
212
213
            else:
                extra_compile_args['cxx'] = ['/std:c++17']
214

215
        include_dirs = []
limm's avatar
limm committed
216
217
        library_dirs = []
        libraries = []
Yuanhao Zhu's avatar
Yuanhao Zhu committed
218

limm's avatar
limm committed
219
220
        extra_objects = []
        extra_link_args = []
221
        is_rocm_pytorch = False
222
        try:
223
224
225
            from torch.utils.cpp_extension import ROCM_HOME
            is_rocm_pytorch = True if ((torch.version.hip is not None) and
                                       (ROCM_HOME is not None)) else False
226
227
        except ImportError:
            pass
228

limm's avatar
limm committed
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
        if os.getenv('MMCV_WITH_DIOPI', '0') == '1':
            import mmengine  # NOQA: F401
            from mmengine.utils.version_utils import digit_version
            assert digit_version(mmengine.__version__) >= digit_version(
                '0.7.4'), f'mmengine >= 0.7.4 is required \
                but {mmengine.__version__} is installed'

            print(f'Compiling {ext_name} with CPU and DIPU')
            define_macros += [('MMCV_WITH_DIOPI', None)]
            define_macros += [('DIOPI_ATTR_WEAK', None)]
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp')
            extension = CppExtension
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
            dipu_root = os.getenv('DIPU_ROOT')
            diopi_path = os.getenv('DIOPI_PATH')
            dipu_path = os.getenv('DIPU_PATH')
            vendor_include_dirs = os.getenv('VENDOR_INCLUDE_DIRS')
            nccl_include_dirs = os.getenv('NCCL_INCLUDE_DIRS')
limm's avatar
limm committed
248
            pytorch_dir = os.getenv('PYTORCH_DIR')
limm's avatar
limm committed
249
250
251
252
            include_dirs.append(dipu_root)
            include_dirs.append(diopi_path + '/include')
            include_dirs.append(dipu_path + '/dist/include')
            include_dirs.append(vendor_include_dirs)
limm's avatar
limm committed
253
            include_dirs.append(pytorch_dir + 'torch/include')
limm's avatar
limm committed
254
255
256
257
258
            if nccl_include_dirs:
                include_dirs.append(nccl_include_dirs)
            library_dirs += [dipu_root]
            libraries += ['torch_dipu']
        elif is_rocm_pytorch or torch.cuda.is_available() or os.getenv(
q.yao's avatar
q.yao committed
259
260
                'FORCE_CUDA', '0') == '1':
            if is_rocm_pytorch:
Zachary Streeter's avatar
Zachary Streeter committed
261
                define_macros += [('MMCV_WITH_HIP', None)]
Yuanhao Zhu's avatar
Yuanhao Zhu committed
262
            define_macros += [('MMCV_WITH_CUDA', None)]
zhuyuanhao's avatar
zhuyuanhao committed
263
            cuda_args = os.getenv('MMCV_CUDA_ARGS')
Yuanhao Zhu's avatar
Yuanhao Zhu committed
264
            extra_compile_args['nvcc'] = [cuda_args] if cuda_args else []
265
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
266
267
268
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cuda/*.cu') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cuda/*.cpp')
Yuanhao Zhu's avatar
Yuanhao Zhu committed
269
            extension = CUDAExtension
Zachary Streeter's avatar
Zachary Streeter committed
270
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/pytorch'))
271
272
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common/cuda'))
273
274
275
276
        elif (hasattr(torch, 'is_mlu_available') and
                torch.is_mlu_available()) or \
                os.getenv('FORCE_MLU', '0') == '1':
            from torch_mlu.utils.cpp_extension import MLUExtension
limm's avatar
limm committed
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342

            def get_mluops_version(file_path):
                with open(file_path) as f:
                    for line in f:
                        if re.search('MLUOP_MAJOR', line):
                            major = line.strip().split(' ')[2]
                        if re.search('MLUOP_MINOR', line):
                            minor = line.strip().split(' ')[2]
                        if re.search('MLUOP_PATCHLEVEL', line):
                            patchlevel = line.strip().split(' ')[2]
                mluops_version = f'v{major}.{minor}.{patchlevel}'
                return mluops_version

            mmcv_mluops_version = get_mluops_version(
                './mmcv/ops/csrc/pytorch/mlu/mlu_common_helper.h')
            mlu_ops_path = os.getenv('MMCV_MLU_OPS_PATH')
            if mlu_ops_path:
                exists_mluops_version = get_mluops_version(
                    mlu_ops_path + '/bangc-ops/mlu_op.h')
                if exists_mluops_version != mmcv_mluops_version:
                    print('the version of mlu-ops provided is %s,'
                          ' while %s is needed.' %
                          (exists_mluops_version, mmcv_mluops_version))
                    exit()
                try:
                    if os.path.exists('mlu-ops'):
                        if os.path.islink('mlu-ops'):
                            os.remove('mlu-ops')
                            os.symlink(mlu_ops_path, 'mlu-ops')
                        elif os.path.abspath('mlu-ops') != mlu_ops_path:
                            os.symlink(mlu_ops_path, 'mlu-ops')
                    else:
                        os.symlink(mlu_ops_path, 'mlu-ops')
                except Exception:
                    raise FileExistsError(
                        'mlu-ops already exists, please move it out,'
                        'or rename or remove it.')
            else:
                if not os.path.exists('mlu-ops'):
                    import requests
                    mluops_url = 'https://github.com/Cambricon/mlu-ops/' + \
                        'archive/refs/tags/' + mmcv_mluops_version + '.zip'
                    req = requests.get(mluops_url)
                    with open('./mlu-ops.zip', 'wb') as f:
                        try:
                            f.write(req.content)
                        except Exception:
                            raise ImportError('failed to download mlu-ops')

                    from zipfile import BadZipFile, ZipFile
                    with ZipFile('./mlu-ops.zip', 'r') as archive:
                        try:
                            archive.extractall()
                            dir_name = archive.namelist()[0].split('/')[0]
                            os.rename(dir_name, 'mlu-ops')
                        except BadZipFile:
                            print('invalid mlu-ops.zip file')
                else:
                    exists_mluops_version = get_mluops_version(
                        './mlu-ops/bangc-ops/mlu_op.h')
                    if exists_mluops_version != mmcv_mluops_version:
                        print('the version of provided mlu-ops is %s,'
                              ' while %s is needed.' %
                              (exists_mluops_version, mmcv_mluops_version))
                        exit()

343
            define_macros += [('MMCV_WITH_MLU', None)]
limm's avatar
limm committed
344
345
346
347
348
349
350
351
352
            mlu_args = os.getenv('MMCV_MLU_ARGS', '-DNDEBUG ')
            mluops_includes = []
            mluops_includes.append('-I' +
                                   os.path.abspath('./mlu-ops/bangc-ops'))
            mluops_includes.append(
                '-I' + os.path.abspath('./mlu-ops/bangc-ops/kernels'))
            extra_compile_args['cncc'] = [mlu_args] + \
                mluops_includes if mlu_args else mluops_includes
            extra_compile_args['cxx'] += ['-fno-gnu-unique']
353
354
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp') + \
355
                glob.glob('./mmcv/ops/csrc/pytorch/mlu/*.cpp') + \
limm's avatar
limm committed
356
357
358
359
360
361
362
363
364
365
366
367
                glob.glob('./mmcv/ops/csrc/common/mlu/*.mlu') + \
                glob.glob(
                    './mlu-ops/bangc-ops/core/**/*.cpp', recursive=True) + \
                glob.glob(
                    './mlu-ops/bangc-ops/kernels/**/*.cpp', recursive=True) + \
                glob.glob(
                    './mlu-ops/bangc-ops/kernels/**/*.mlu', recursive=True)
            extra_link_args = [
                '-Wl,--whole-archive',
                './mlu-ops/bangc-ops/kernels/kernel_wrapper/lib/libextops.a',
                '-Wl,--no-whole-archive'
            ]
368
369
370
            extension = MLUExtension
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common/mlu'))
limm's avatar
limm committed
371
            include_dirs.append(os.path.abspath('./mlu-ops/bangc-ops'))
Zaida Zhou's avatar
Zaida Zhou committed
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
        elif (hasattr(torch.backends, 'mps')
              and torch.backends.mps.is_available()) or os.getenv(
                  'FORCE_MPS', '0') == '1':
            # objc compiler support
            from distutils.unixccompiler import UnixCCompiler
            if '.mm' not in UnixCCompiler.src_extensions:
                UnixCCompiler.src_extensions.append('.mm')
                UnixCCompiler.language_map['.mm'] = 'objc'

            define_macros += [('MMCV_WITH_MPS', None)]
            extra_compile_args = {}
            extra_compile_args['cxx'] = ['-Wall', '-std=c++17']
            extra_compile_args['cxx'] += [
                '-framework', 'Metal', '-framework', 'Foundation'
            ]
            extra_compile_args['cxx'] += ['-ObjC++']
            # src
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
limm's avatar
limm committed
390
391
392
393
394
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp')
            # TODO: support mps ops on torch>=2.1.0
            if parse_version(torch.__version__) < parse_version('2.1.0'):
                op_files += glob.glob('./mmcv/ops/csrc/common/mps/*.mm') + \
                    glob.glob('./mmcv/ops/csrc/pytorch/mps/*.mm')
Zaida Zhou's avatar
Zaida Zhou committed
395
396
397
            extension = CppExtension
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common/mps'))
398
399
400
        elif (os.getenv('FORCE_NPU', '0') == '1'):
            print(f'Compiling {ext_name} only with CPU and NPU')
            try:
limm's avatar
limm committed
401
402
                import importlib

403
                from torch_npu.utils.cpp_extension import NpuExtension
limm's avatar
limm committed
404
405
406
407
408
409
410
411
                extra_compile_args['cxx'] += [
                    '-D__FILENAME__=\"$$(notdir $$(abspath $$<))\"'
                ]
                extra_compile_args['cxx'] += [
                    '-I' + importlib.util.find_spec(
                        'torch_npu').submodule_search_locations[0] +
                    '/include/third_party/acl/inc'
                ]
412
413
                define_macros += [('MMCV_WITH_NPU', None)]
                extension = NpuExtension
limm's avatar
limm committed
414
                if parse_version(torch.__version__) < parse_version('2.1.0'):
limm's avatar
limm committed
415
                    define_macros += [('MMCV_WITH_XLA', None)]
limm's avatar
limm committed
416
                if parse_version(torch.__version__) >= parse_version('2.1.0'):
limm's avatar
limm committed
417
                    define_macros += [('MMCV_WITH_KPRIVATE', None)]
418
419
420
421
422
423
424
425
426
            except Exception:
                raise ImportError('can not find any torch_npu')
            # src
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/common/npu/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/npu/*.cpp')
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common/npu'))
427
        else:
428
            print(f'Compiling {ext_name} only with CPU')
429
430
            op_files = glob.glob('./mmcv/ops/csrc/pytorch/*.cpp') + \
                glob.glob('./mmcv/ops/csrc/pytorch/cpu/*.cpp')
Yuanhao Zhu's avatar
Yuanhao Zhu committed
431
            extension = CppExtension
432
            include_dirs.append(os.path.abspath('./mmcv/ops/csrc/common'))
Yuanhao Zhu's avatar
Yuanhao Zhu committed
433

434
435
436
437
438
439
440
441
        # Since the PR (https://github.com/open-mmlab/mmcv/pull/1463) uses
        # c++14 features, the argument ['std=c++14'] must be added here.
        # However, in the windows environment, some standard libraries
        # will depend on c++17 or higher. In fact, for the windows
        # environment, the compiler will choose the appropriate compiler
        # to compile those cpp files, so there is no need to add the
        # argument
        if 'nvcc' in extra_compile_args and platform.system() != 'Windows':
limm's avatar
limm committed
442
443
444
445
            if parse_version(torch.__version__) <= parse_version('1.12.1'):
                extra_compile_args['nvcc'] += ['-std=c++14']
            else:
                extra_compile_args['nvcc'] += ['-std=c++17']
446

Yuanhao Zhu's avatar
Yuanhao Zhu committed
447
448
449
        ext_ops = extension(
            name=ext_name,
            sources=op_files,
450
            include_dirs=include_dirs,
Yuanhao Zhu's avatar
Yuanhao Zhu committed
451
            define_macros=define_macros,
limm's avatar
limm committed
452
453
454
455
456
            extra_objects=extra_objects,
            extra_compile_args=extra_compile_args,
            library_dirs=library_dirs,
            libraries=libraries,
            extra_link_args=extra_link_args)
Yuanhao Zhu's avatar
Yuanhao Zhu committed
457
        extensions.append(ext_ops)
458
459
    return extensions

460

461
setup(
Zaida Zhou's avatar
Zaida Zhou committed
462
    name='mmcv' if os.getenv('MMCV_WITH_OPS', '1') == '1' else 'mmcv-lite',
463
    version=get_version(),
464
    description='OpenMMLab Computer Vision Foundation',
465
466
    keywords='computer vision',
    packages=find_packages(),
467
    include_package_data=True,
468
469
    classifiers=[
        'Development Status :: 4 - Beta',
Kai Chen's avatar
Kai Chen committed
470
        'License :: OSI Approved :: Apache Software License',
471
472
        'Operating System :: OS Independent',
        'Programming Language :: Python :: 3',
473
        'Programming Language :: Python :: 3.7',
474
        'Programming Language :: Python :: 3.8',
475
        'Programming Language :: Python :: 3.9',
Zaida Zhou's avatar
Zaida Zhou committed
476
        'Programming Language :: Python :: 3.10',
477
478
479
        'Topic :: Utilities',
    ],
    url='https://github.com/open-mmlab/mmcv',
Zaida Zhou's avatar
Zaida Zhou committed
480
    author='MMCV Contributors',
Kai Chen's avatar
Kai Chen committed
481
    author_email='openmmlab@gmail.com',
482
    install_requires=install_requires,
483
484
485
486
487
488
    extras_require={
        'all': parse_requirements('requirements.txt'),
        'tests': parse_requirements('requirements/test.txt'),
        'build': parse_requirements('requirements/build.txt'),
        'optional': parse_requirements('requirements/optional.txt'),
    },
489
    python_requires='>=3.7',
490
    ext_modules=get_extensions(),
491
    cmdclass=cmd_class,
492
    zip_safe=False)