def test_auto_shoud_be_max(self, _):
state = {torchbearer.METRICS: {'acc_loss': 0.1}}
file_path = 'test_file_{acc_loss:.2f}'
check = Best(file_path, monitor='acc_loss')
check.on_start(state)
check.on_end_epoch(state)
self.assertTrue(check.mode == 'max')
def test_state_dict(self):
check = Best('test')
check.most_recent = 'temp'
check.best = 'temp2'
check.epochs_since_last_save = 10
state = check.state_dict()
check = Best('test')
check.load_state_dict(state)
self.assertEqual(check.most_recent, 'temp')
self.assertEqual(check.best, 'temp2')
self.assertEqual(check.epochs_since_last_save, 10)
def test_min_delta_save(self, mock_save):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, mode='min', min_delta=0.1)
check.on_start(state)
check.on_checkpoint(state)
self.assertTrue(mock_save.call_count == 1)
state = {torchbearer.METRICS: {'val_loss': -0.001}}
check.on_checkpoint(state)
self.assertTrue(mock_save.call_count == 2)
def test_max_with_decreasing(self, mock_save):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, mode='max')
check.on_start(state)
check.on_checkpoint(state)
self.assertTrue(mock_save.call_count == 1)
state = {torchbearer.METRICS: {'val_loss': 0.001}}
check.on_checkpoint(state)
self.assertTrue(mock_save.call_count == 1)
def test_min_with_increasing(self, mock_save):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, mode='min')
check.on_start(state)
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 1)
state = {torchbearer.METRICS: {'val_loss': 0.2}}
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 1)
def test_auto_shoud_be_max(self, _):
state = {torchbearer.METRICS: {'acc_loss': 0.1}}
file_path = 'test_file_{acc_loss:.2f}'
check = Best(file_path, monitor='acc_loss')
check.on_start(state)
check.on_checkpoint(state)
self.assertTrue(check.mode == 'max')
def test_auto_shoud_be_min(self, _):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, monitor='val_loss')
check.on_start(state)
check.on_end_epoch(state)
self.assertTrue(check.mode == 'min')
def test_min_delta_save(self, mock_save):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, mode='min', min_delta=0.1)
check.on_start(state)
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 1)
state = {torchbearer.METRICS: {'val_loss': -0.001}}
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 2)
def test_max_with_decreasing(self, mock_save):
state = {torchbearer.METRICS: {'val_loss': 0.1}}
file_path = 'test_file_{val_loss:.2f}'
check = Best(file_path, mode='max')
check.on_start(state)
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 1)
state = {torchbearer.METRICS: {'val_loss': 0.001}}
check.on_end_epoch(state)
self.assertTrue(mock_save.call_count == 1)
def test_bad_monitor(self, _):
state = {torchbearer.METRICS: {'acc_loss': 0.1}}
file_path = 'test_file_{acc_loss:.2f}'
check = Best(file_path, monitor='test_fail')
check.on_start(state)
with warnings.catch_warnings(record=True) as w:
check.on_checkpoint(state)
self.assertTrue(len(w) == 1)
