def METHOD_NAME():
    config = get_basic_magnitude_sparsity_config()
    _, compression_ctrl = create_compressed_model_and_algo_for_test(MagnitudeTestModel(), config)
    ref_mask_1 = torch.clone(compression_ctrl.sparsified_module_info[0].operand.binary_mask)
    ref_mask_2 = torch.clone(compression_ctrl.sparsified_module_info[1].operand.binary_mask)
    compression_ctrl.strip(do_copy=False)
    after_mask_1 = compression_ctrl.sparsified_module_info[0].operand.binary_mask
    after_mask_2 = compression_ctrl.sparsified_module_info[1].operand.binary_mask
    assert torch.equal(ref_mask_1, after_mask_1)
    assert torch.equal(ref_mask_2, after_mask_2)