def test_torch_pruner(self):
model = TorchMnist()
configure_list = [{'sparsity': 0.8, 'op_types': ['default']}]
torch_compressor.LevelPruner(configure_list).compress(model)
def test_torch_level_pruner(self):
model = TorchModel()
optimizer = torch.optim.SGD(model.parameters(), lr=0.01, momentum=0.5)
configure_list = [{'sparsity': 0.8, 'op_types': ['default']}]
torch_compressor.LevelPruner(model, configure_list,
optimizer).compress()
