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class MkldnnTest(object):
mkldnn_target_test_filename = 'mkl-dnn-c'
def __init__(self, target):
self.target = target
def tear_down(self):
self.target.run('rm /tmp/%s' % self.mkldnn_target_test_filename)
def test_mkldnn_can_compile_and_execute(self):
mkldnn_src_dir = '/usr/src/debug/onednn/'
mkldnn_src_test_filename = 'api.c'
mkldnn_src_test_file = ''
(status, output) = self.target.run('cd %s; find -name %s' % (mkldnn_src_dir, mkldnn_src_test_filename))
if status:
return status, output
mkldnn_src_test_file = os.path.join(mkldnn_src_dir, output)
(status, output) = self.target.run('gcc %s -o /tmp/%s -ldnnl' % (mkldnn_src_test_file, self.mkldnn_target_test_filename))
if status:
return status, output
(status, output) = self.target.run('cd /tmp; ./%s' % self.mkldnn_target_test_filename)
return status, output
def test_mkldnn_benchdnn_package_available(self):
(status, output) = self.target.run('ls /usr/bin/mkl-dnn/tests/benchdnn')
return status, output
def _run_mkldnn_benchdnn_test(self, cmd):
(status, output) = self.target.run('cd /usr/bin/mkl-dnn/tests/benchdnn; %s' % cmd)
return status, output
def test_mkldnn_conv_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --conv --batch=inputs/conv/test_conv_3d')
def test_mkldnn_bnorm_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --bnorm --batch=inputs/bnorm/test_bnorm_regressions')
def test_mkldnn_deconv_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --deconv --batch=inputs/deconv/test_deconv_bfloat16')
def test_mkldnn_ip_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --ip --batch=inputs/ip/test_ip_bfloat16')
def test_mkldnn_reorder_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --reorder --batch=inputs/reorder/test_reorder_bfloat16')
def test_mkldnn_rnn_api(self):
# test_rnn_inference was not yet ready and was expected to fail
# while waiting it to be ready, use test_rnn_small for now
return self._run_mkldnn_benchdnn_test('./benchdnn --rnn --batch=inputs/rnn/test_rnn_small')
def test_mkldnn_shuffle_api(self):
return self._run_mkldnn_benchdnn_test('./benchdnn --shuffle --batch=inputs/shuffle/test_shuffle_bfloat16')
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