def test_to_dict_metric_factory(self, build_mock):
metric = metrics.MetricFactory
build_mock.return_value = metrics.Metric('test')
out = metrics.to_dict(metric)().build()
self.assertTrue(out.metric.name == 'test')
self.assertTrue(isinstance(out, metrics.ToDict))
build_mock.assert_called_once()
def test_std_metric_instance(self):
metric = metrics.Metric('test')
out = metrics.std(metric)
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.Std))
self.assertTrue(out.children[0].metric.name == 'test_std')
self.assertTrue(out.root.name == 'test')
def test_mean_metric_instance(self):
metric = metrics.Metric('test')
out = metrics.mean(metric, dim=10)
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.Mean))
self.assertTrue(out.children[0].metric._kwargs['dim'] == 10)
self.assertTrue(out.children[0].metric.name == 'test')
self.assertTrue(out.root.name == 'test')
def test_std_metric_factory(self, build_mock):
metric = metrics.MetricFactory
build_mock.return_value=metrics.Metric('test')
out = metrics.std(metric)().build()
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.Std))
self.assertTrue(out.children[0].metric.name == 'test_std')
self.assertTrue(out.root.name == 'test')
def test_running_mean_metric_factory(self, build_mock):
metric = metrics.MetricFactory
build_mock.return_value=metrics.Metric('test')
out = metrics.running_mean(metric)().build()
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.RunningMean))
self.assertTrue(out.children[0].metric.name == 'running_test')
self.assertTrue(out.root.name == 'test')
def test_running_mean_metric_instance(self):
metric = metrics.Metric('test')
out = metrics.running_mean(batch_size=40, step_size=20)(metric)
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.RunningMean))
self.assertTrue(out.children[0].metric._batch_size == 40)
self.assertTrue(out.children[0].metric._step_size == 20)
self.assertTrue(out.children[0].metric.name == 'running_test')
self.assertTrue(out.root.name == 'test')
def test_std_metric_instance(self):
metric = metrics.Metric('test')
out = metrics.std(metric, dim=10, unbiased=False)
self.assertTrue(isinstance(out, metrics.MetricTree))
self.assertTrue(isinstance(out.children[0], metrics.ToDict))
self.assertTrue(isinstance(out.children[0].metric, metrics.Std))
self.assertTrue(out.children[0].metric._kwargs['dim'] == 10)
self.assertTrue(not out.children[0].metric._unbiased)
self.assertTrue(out.children[0].metric.name == 'test_std')
self.assertTrue(out.root.name == 'test')
def test_to_dict_metric_instance(self):
metric = metrics.Metric('test')
out = metrics.to_dict(metric)
self.assertTrue(out.metric.name == 'test')
self.assertTrue(isinstance(out, metrics.ToDict))