(self, optimizer)
| 131 | return build_adagrad(model, base_learning_rate=1.0, lars=0.5, **kwargs) |
| 132 | |
| 133 | def check_optimizer(self, optimizer): |
| 134 | self.assertFalse(optimizer.get_auxiliary_parameters().shared) |
| 135 | self.assertTrue(optimizer.get_auxiliary_parameters().local) |
| 136 | for param in optimizer.get_auxiliary_parameters().local: |
| 137 | workspace.FetchBlob(param) |
| 138 | |
| 139 | |
| 140 | class TestAdagradWithDedicatedLRIteration(OptimizerTestBase, LRModificationTestBase, TestCase): |
nothing calls this directly
no test coverage detected