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import os
class DldtModelOptimizerTest(object):
mo_input_files = {'model': 'squeezenet_v1.1.caffemodel',
'prototxt': 'deploy.prototxt'}
mo_exe = 'mo.py'
def __init__(self, target, work_dir):
self.target = target
self.work_dir = work_dir
def setup(self):
self.target.run('mkdir -p %s' % self.work_dir)
def tear_down(self):
self.target.run('rm -rf %s' % self.work_dir)
def test_dldt_mo_can_create_ir(self, mo_exe_dir, mo_files_dir):
return self.target.run('python3 %s --input_model %s --input_proto %s --output_dir %s --data_type FP16' %
(os.path.join(mo_exe_dir, self.mo_exe),
os.path.join(mo_files_dir, self.mo_input_files['model']),
os.path.join(mo_files_dir, self.mo_input_files['prototxt']),
self.work_dir))
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