def parse_args_all_schemes(feature_str):
_parser = OptionParser()
_parser.add_option(
'--scheme',
'-s',
action='callback',
type='choice',
choices=('cpu', 'cuda'),
default='cpu',
dest='scheme',
callback=_check_scheme_all,
help='specifies processing scheme, can be cpu [default], cuda')
_parser.add_option(
'--device-num',
'-d',
action='store',
type='int',
dest='devicenum',
default=0,
help='specifies a GPU device to use for CUDA, 0 by default')
(_opt_list, _args) = _parser.parse_args()
# Changing the optvalues to a dict makes them easier to read
_options = vars(_opt_list)
_scheme = _options['scheme']
if _scheme == 'cpu':
_context = CPUScheme()
if _scheme == 'cuda':
_context = CUDAScheme(device_num=_options['devicenum'])
_scheme_dict = {'cpu': 'CPU', 'cuda': 'CUDA'}
print(72 * '=')
print("Running {0} unit tests for {1}:".format(_scheme_dict[_scheme],
feature_str))
return [_scheme, _context]
print("MKL not supported on arm64, skipping")
pass
elif not 'mkl' in pycbc.fft.get_backend_names():
print("MKL does not seem to be available; why isn't it installed?")
_exit(0)
else:
# Now set the number of threads to something nontrivial
# Most of the work is now done in fft_base.
FFTTestClasses = []
for num_threads in [2, 4, 6, 8]:
kdict = {
'backends': ['mkl'],
'scheme': 'cpu',
'context': CPUScheme(num_threads=num_threads)
}
klass = type('FFTW_OpenMP_test', (_BaseTestFFTClass, ), kdict)
klass.__test__ = True
FFTTestClasses.append(klass)
# Finally, we create suites and run them
if __name__ == '__main__':
suite = unittest.TestSuite()
for klass in FFTTestClasses:
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(klass))
results = unittest.TextTestRunner(verbosity=2).run(suite)
simple_exit(results)