def test_run_symmetric(self):
"""Test random mask driver with per-neuron sparsity."""
experiment_dir = tempfile.mkdtemp()
self._eval_flags = dict(
epochs=1,
experiment_dir=experiment_dir,
mask_type='symmetric',
)
with flagsaver.flagsaver(**self._eval_flags):
random_mask.main([])
with self.subTest(name='tf_summary_file_exists'):
outfile = path.join(experiment_dir, '*', 'events.out.tfevents.*')
files = glob.glob(outfile)
self.assertTrue(len(files) == 1 and path.exists(files[0]))
def test_run_conv(self):
"""Test random mask driver with CNN model."""
experiment_dir = tempfile.mkdtemp()
self._eval_flags = dict(
epochs=1,
experiment_dir=experiment_dir,
model='MNIST_CNN',
)
with flagsaver.flagsaver(**self._eval_flags):
random_mask.main([])
with self.subTest(name='tf_summary_file_exists'):
outfile = path.join(experiment_dir, '*', 'events.out.tfevents.*')
files = glob.glob(outfile)
self.assertTrue(len(files) == 1 and path.exists(files[0]))